Introduction

Project Goals

Methodology

Results

Conclusion

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla Guillaume Lemaˆıtre Supervisor: Paul M. Walker Heriot-Watt University, Universitat de Girona and Universit´ e de Bourgogne

June 15th , 2011

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Outline 1

2 3

4

5

Introduction Motivations MRSI of Prostate Related Works Project Goals Methodology Materials and Patients Method Results ”Healthy” Metabolism Cancer vs. Healthy Tissue Conclusion Considerations Future Works

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

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Methodology

Results

Conclusion

Introduction Motivations - Anatomy

Figure:

Guillaume Lemaˆıtre

Prostate anatomy

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Conclusion

Introduction Motivations - Anatomy

Figure:

Prostate anatomy

Remarks Peripheral Zone (PZ) is counting for 70% of the prostate. 70% of cancers occur in PZ. 30 % of prostate cancers originate in Transitional Zone (TZ) and Central Zone (CZ). On MRI images, impossible to distinguish TZ and CZ. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction Motivations - Anatomy

Figure:

Prostate anatomy

Remarks Peripheral Zone (PZ) is counting for 70% of the prostate. 70% of cancers occur in PZ. 30 % of prostate cancers originate in Transitional Zone (TZ) and Central Zone (CZ). On MRI images, impossible to distinguish TZ and CZ. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction Motivations - Anatomy

Figure:

Prostate anatomy

Remarks Peripheral Zone (PZ) is counting for 70% of the prostate. 70% of cancers occur in PZ. 30 % of prostate cancers originate in Transitional Zone (TZ) and Central Zone (CZ). On MRI images, impossible to distinguish TZ and CZ. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

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Methodology

Results

Conclusion

Introduction Motivations - Statistics

(a)

Estimated number cancers cases for both sexes and

all ages.

(b)

Estimated number cancers deaths for both sexes

and all ages.

Figure:

Cancer estimations in 2008 by the World Health Organization (WHO) [FSB+ 10]

Overview 2nd most frequently diagnosed men cancer. Accounting for 7.1 % of overall cancers diagnosed. Accounting for 3.4 % of overall cancers death. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction Motivations - Statistics

(a)

Estimated number cancers cases for both sexes and

all ages.

(b)

Estimated number cancers deaths for both sexes

and all ages.

Figure:

Cancer estimations in 2008 by the World Health Organization (WHO) [FSB+ 10]

Overview 2nd most frequently diagnosed men cancer. Accounting for 7.1 % of overall cancers diagnosed. Accounting for 3.4 % of overall cancers death. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction Motivations - Statistics

(a)

Estimated number cancers cases for both sexes and

all ages.

(b)

Estimated number cancers deaths for both sexes

and all ages.

Figure:

Cancer estimations in 2008 by the World Health Organization (WHO) [FSB+ 10]

Overview 2nd most frequently diagnosed men cancer. Accounting for 7.1 % of overall cancers diagnosed. Accounting for 3.4 % of overall cancers death. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction MRSI of Prostate - Overview

(a)

Grid of MRSI

(b)

Voxel Spectrum

MRSI Examination Non-invasive technique using MRI allowing to study the metabolism of tissue. Each frequency corresponds to a different metabolite due of its number of proton. Peak integral is proportionnal to metabolite concentration. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction MRSI of Prostate - Overview

(a)

Grid of MRSI

(b)

Voxel Spectrum

MRSI Examination Non-invasive technique using MRI allowing to study the metabolism of tissue. Each frequency corresponds to a different metabolite due of its number of proton. Peak integral is proportionnal to metabolite concentration. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction MRSI of Prostate - Overview

(a)

Grid of MRSI

(b)

Voxel Spectrum

MRSI Examination Non-invasive technique using MRI allowing to study the metabolism of tissue. Each frequency corresponds to a different metabolite due of its number of proton. Peak integral is proportionnal to metabolite concentrations Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction MRSI of Prostate - Pros & Cons

Pros Non-invasive technique. More sensitive than other MRI techniques. Better resolution than other common techniques (DRE, PSA).

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction MRSI of Prostate - Pros & Cons

Pros Non-invasive technique. More sensitive than other MRI techniques. Better resolution than other common techniques (DRE, PSA).

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction MRSI of Prostate - Pros & Cons

Pros Non-invasive technique. More sensitive than other MRI techniques. Better resolution than other common techniques (DRE, PSA).

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction MRSI of Prostate - Pros & Cons

Pros Non-invasive technique. More sensitive than other MRI techniques. Better resolution than other common techniques (DRE, PSA). Cons Relative recent technique. Lower resolution than other MRI methods.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

6 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Introduction MRSI of Prostate - Pros & Cons

Pros Non-invasive technique. More sensitive than other MRI techniques. Better resolution than other common techniques (DRE, PSA). Cons Relative recent technique. Lower resolution than other MRI methods.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

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Methodology

Results

Conclusion

Introduction MRSI of Prostate - Spectra Interpretation

Metabolite Localizations & Interpretations

Guillaume Lemaˆıtre

Metabolites

Concentration in cancer tissue

Concentration in healthy tissue

Choline (3.21 ppm) Citrate (2.64 ppm) Water (4.65 ppm)

Increasing concentration [KVH+ 96] Decreasing concentration [KVN+ 95] NA

Low concentration [KVH+ 96] High concentration [KVN+ 95] NA

Figure:

Entire resonance spectrum

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

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Methodology

Results

Conclusion

Introduction MRSI of Prostate - Spectra Interpretation

Metabolite Localizations & Interpretations Metabolites

Concentration in cancer tissue

Concentration in healthy tissue

Choline (3.21 ppm) Citrate (2.64 ppm) Water (4.65 ppm)

Increasing concentration [KVH+ 96] Decreasing concentration [KVN+ 95] NA

Low concentration [KVH+ 96] High concentration [KVN+ 95] NA

(a) Guillaume Lemaˆıtre

Spectrum representative of cancer tissue (b) Spectrum reprensentative of healthy tissue Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Methodology

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Conclusion

Introduction Related Works - Data Analysis

Peak Integration → Compute the numeric integral of the peak on a given range.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction Related Works - Data Analysis

Peak Integration → Compute the numeric integral of the peak on a given range. Underestimation on squeeze peaks due of truncation of the peak wings.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction Related Works - Data Analysis

Peak Integration → Compute the numeric integral of the peak on a given range. Underestimation on squeeze peaks due of truncation of the peak wings. ⇒ Will be used in methodology.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction Related Works - Data Analysis

Peak Fitting → Fit Gaussian, Lorentzian or Voigt curve (widely use in NMR) to the peak consider and integrate the function fitted.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction Related Works - Data Analysis

Peak Fitting → Fit Gaussian, Lorentzian or Voigt curve (widely use in NMR) to the peak consider and integrate the function fitted. ⇒ Will be used in methodology.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction Related Works - Data Analysis

Peak Fitting using Prior Knowledge → Fit an estimated curve to the entire signal using a data set based on prior observations. LCModel [Pro93]. MRUI [NCC+ 01].

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction Related Works - Data Analysis

Peak Fitting using Prior Knowledge → Fit an estimated curve to the entire signal using a data set based on prior observations. LCModel [Pro93]. MRUI [NCC+ 01]. ⇒ Problem of fitting our data. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction Related Works - Quantification Strategies

Relative Quantification → Ratios computation of discriminative metabolite concentrations: [Cho] [Cit]

(1)

[Cho] + [Cre] [Cit]

(2)

[ratio] = or [ratio] =

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction Related Works - Quantification Strategies

Relative Quantification → Ratios computation of discriminative metabolite concentrations: [Cho] [Cit]

(1)

[Cho] + [Cre] [Cit]

(2)

[ratio] = or [ratio] =

Absolute Quantification External reference. Replace-and-match method. Principle of reciprocity. Water reference.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction Related Works - Quantification Strategies

Relative Quantification → Ratios computation of discriminative metabolite concentrations: [Cho] [Cit]

(1)

[Cho] + [Cre] [Cit]

(2)

[ratio] = or [ratio] =

Absolute Quantification External reference. Replace-and-match method. Principle of reciprocity. Water reference.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction Related Works - Quantification Strategies

Relative Quantification → Ratios computation of discriminative metabolite concentrations: [Cho] [Cit]

(1)

[Cho] + [Cre] [Cit]

(2)

[ratio] = or [ratio] =

Absolute Quantification External reference. Replace-and-match method. Principle of reciprocity. Water reference.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Introduction Related Works - Quantification Strategies

Relative Quantification → Ratios computation of discriminative metabolite concentrations: [Cho] [Cit]

(1)

[Cho] + [Cre] [Cit]

(2)

[ratio] = or [ratio] =

Absolute Quantification External reference. Replace-and-match method. Principle of reciprocity. Water reference.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

12 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Introduction Related Works - Quantification Strategies

Relative Quantification → Ratios computation of discriminative metabolite concentrations: [Cho] [Cit]

(1)

[Cho] + [Cre] [Cit]

(2)

[ratio] = or [ratio] =

Absolute Quantification External reference. Replace-and-match method. Principle of reciprocity. Water reference.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

12 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Introduction Related Works - Quantification Strategies

Relative Quantification → Ratios computation of discriminative metabolite concentrations: [Cho] [Cit]

(1)

[Cho] + [Cre] [Cit]

(2)

[ratio] = or [ratio] =

Absolute Quantification External reference. Replace-and-match method. Principle of reciprocity. Water reference. ⇒ Widely used for MRSI of brain [JBNK06]. Only one study for MRSI of prostate [MBG+ 11]. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Outline 1

2 3

4

5

Introduction Motivations MRSI of Prostate Related Works Project Goals Methodology Materials and Patients Method Results ”Healthy” Metabolism Cancer vs. Healthy Tissue Conclusion Considerations Future Works

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Project Goals

Objectives Design a customize method to analyse the data. Compute absolute concentrations of choline and citrate using water as reference. Study variations of choline and citrate concentrations

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Project Goals

Objectives Design a customize method to analyse the data. Compute absolute concentrations of choline and citrate using water as reference. Study variations of choline and citrate concentrations

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

14 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Project Goals

Objectives Design a customize method to analyse the data. Compute absolute concentrations of choline and citrate using water as reference. Study variations of choline and citrate concentrations.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

14 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Outline 1

2 3

4

5

Introduction Motivations MRSI of Prostate Related Works Project Goals Methodology Materials and Patients Method Results ”Healthy” Metabolism Cancer vs. Healthy Tissue Conclusion Considerations Future Works

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

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Methodology

Results

Conclusion

Methodology MRSI Protocol

Water Reference Serie Unsuppressed water acquisition at TE = 30 ms. Unsuppressed water acquisition at TE = 80 ms. Unsuppressed water acquisition at TE = 140 ms. ⇒ Used to normalize and obtain absolute concentration. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

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Methodology

Results

Conclusion

Methodology MRSI Protocol

Water Reference Serie Unsuppressed water acquisition at TE = 30 ms. Unsuppressed water acquisition at TE = 80 ms. Unsuppressed water acquisition at TE = 140 ms. ⇒ Used to normalize and obtain absolute concentration. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Methodology MRSI Protocol

Water Reference Serie Unsuppressed water acquisition at TE = 30 ms. Unsuppressed water acquisition at TE = 80 ms. Unsuppressed water acquisition at TE = 140 ms. ⇒ Used to normalize and obtain absolute concentration. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Methodology MRSI Protocol

Water Reference Serie Unsuppressed water acquisition at TE = 30 ms. Unsuppressed water acquisition at TE = 80 ms. Unsuppressed water acquisition at TE = 140 ms. ⇒ Used to normalize and obtain absolute concentration. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Methodology MRSI Protocol

Metabolites Signal Water and lipid suppresed sequence at TE = 140 ms and TR = 720 ms. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

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Methodology

Results

Conclusion

Methodology Study Population

”Healthy” Patients 8 patients. Mean age of 61.8 (range 57.8-71.1). Mean PSA 8.0 ng .mL−1 (range 2.7-15.0 ng .mL−1 ). Negative biopsies.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Study Population

”Healthy” Patients 8 patients. Mean age of 61.8 (range 57.8-71.1). Mean PSA 8.0 ng .mL−1 (range 2.7-15.0 ng .mL−1 ). Negative biopsies.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Study Population

”Healthy” Patients 8 patients. Mean age of 61.8 (range 57.8-71.1). Mean PSA 8.0 ng .mL−1 (range 2.7-15.0 ng .mL−1 ). Negative biopsies.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Study Population

”Healthy” Patients 8 patients. Mean age of 61.8 (range 57.8-71.1). Mean PSA 8.0 ng .mL−1 (range 2.7-15.0 ng .mL−1 ). Negative biopsies.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Study Population

”Healthy” Patients 8 patients. Mean age of 61.8 (range 57.8-71.1). Mean PSA 8.0 ng .mL−1 (range 2.7-15.0 ng .mL−1 ). Negative biopsies. Patients with Cancers 8 patients. Mean age of 70.9 (range 57.8-82.3). Mean PSA 15.8 ng .mL−1 (range 0.4-74.0 ng .mL−1 ). Biopsy proven cancer. Gleason score between 6 and 7.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

18 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Study Population

”Healthy” Patients 8 patients. Mean age of 61.8 (range 57.8-71.1). Mean PSA 8.0 ng .mL−1 (range 2.7-15.0 ng .mL−1 ). Negative biopsies. Patients with Cancers 8 patients. Mean age of 70.9 (range 57.8-82.3). Mean PSA 15.8 ng .mL−1 (range 0.4-74.0 ng .mL−1 ). Biopsy proven cancer. Gleason score between 6 and 7.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

18 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Study Population

”Healthy” Patients 8 patients. Mean age of 61.8 (range 57.8-71.1). Mean PSA 8.0 ng .mL−1 (range 2.7-15.0 ng .mL−1 ). Negative biopsies. Patients with Cancers 8 patients. Mean age of 70.9 (range 57.8-82.3). Mean PSA 15.8 ng .mL−1 (range 0.4-74.0 ng .mL−1 ). Biopsy proven cancer. Gleason score between 6 and 7.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

18 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Study Population

”Healthy” Patients 8 patients. Mean age of 61.8 (range 57.8-71.1). Mean PSA 8.0 ng .mL−1 (range 2.7-15.0 ng .mL−1 ). Negative biopsies. Patients with Cancers 8 patients. Mean age of 70.9 (range 57.8-82.3). Mean PSA 15.8 ng .mL−1 (range 0.4-74.0 ng .mL−1 ). Biopsy proven cancer. Gleason score between 6 and 7.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Study Population

”Healthy” Patients 8 patients. Mean age of 61.8 (range 57.8-71.1). Mean PSA 8.0 ng .mL−1 (range 2.7-15.0 ng .mL−1 ). Negative biopsies. Patients with Cancers 8 patients. Mean age of 70.9 (range 57.8-82.3). Mean PSA 15.8 ng .mL−1 (range 0.4-74.0 ng .mL−1 ). Biopsy proven cancer. Gleason score between 6 and 7.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Baseline Detection

Xi et al. [XR08] ⇒ Maximizing the following cost function: X X X 2 2 F (b) = bi − A (bi+1 + bi−1 − 2bi ) − B (bi − γi ) g (bi − γi ) i

Guillaume Lemaˆıtre

i

(3)

i

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

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Methodology

Results

Conclusion

Methodology Method - Baseline Detection

Xi et al. [XR08] ⇒ Maximizing the following cost function: X X X 2 2 F (b) = bi − A (bi+1 + bi−1 − 2bi ) − B (bi − γi ) g (bi − γi ) i

i

(3)

i

Smoothness Penalty → The baseline have to be smooth without to be flat. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Baseline Detection

Xi et al. [XR08] ⇒ Maximizing the following cost function: X X X 2 2 F (b) = bi − A (bi+1 + bi−1 − 2bi ) − B (bi − γi ) g (bi − γi ) i

i

(3)

i

Negative Penalty → The baseline have to lie on the middle of the data on noisy portions. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Baseline Detection

Xi et al. [XR08] ⇒ Maximizing the following cost function: X X X 2 2 F (b) = bi − A (bi+1 + bi−1 − 2bi ) − B (bi − γi ) g (bi − γi ) i

i

(3)

i

Parameters - Theory A=

5 × 10−9 n4 σ

(4)

1.25 σ

(5)

B=

Standard deviation σ of the noise is estimate using LOWESS regression. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Water Quantification

Crop the signal between range 3.96-5.94 ppm. Compute rough approximation → Wavelet decomposition. Detect valleys using Lavielle’s algorithm [Lav99]. Find real local minima. Detection and substration of baseline [XR08]. Computation of numeric integral using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (6)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Water Quantification

Crop the signal between range 3.96-5.94 ppm. Compute rough approximation → Wavelet decomposition. Detect valleys using Lavielle’s algorithm [Lav99]. Find real local minima. Detection and substration of baseline [XR08]. Computation of numeric integral using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (6)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

20 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Water Quantification

Crop the signal between range 3.96-5.94 ppm. Compute rough approximation → Wavelet decomposition. Detect valleys using Lavielle’s algorithm [Lav99]. Find real local minima. Detection and substration of baseline [XR08]. Computation of numeric integral using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (6)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

20 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Water Quantification

Crop the signal between range 3.96-5.94 ppm. Compute rough approximation → Wavelet decomposition. Detect valleys using Lavielle’s algorithm [Lav99]. Find real local minima. Detection and substration of baseline [XR08]. Computation of numeric integral using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (6)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

20 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Water Quantification

Crop the signal between range 3.96-5.94 ppm. Compute rough approximation → Wavelet decomposition. Detect valleys using Lavielle’s algorithm [Lav99]. Find real local minima. Detection and substration of baseline [XR08]. Computation of numeric integral using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (6)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

20 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Water Quantification

Crop the signal between range 3.96-5.94 ppm. Compute rough approximation → Wavelet decomposition. Detect valleys using Lavielle’s algorithm [Lav99]. Find real local minima. Detection and substration of baseline [XR08]. Computation of numeric integral using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (6)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Prostate Segmentation

Segmentation K-means to segment using K = 2 on water concentrations found at TE = 30 ms. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Choline Quantification

Crop the signal between range 3.17-3.29 ppm. Detect maxima then iteratively find the valleys. Detection and substration of baseline [XR08]. Fit a Gaussian G (x) and a Lorentzian L(x). Compute the convolution between G (x) and L(x) to obtain the Voigt function V (x). Computation of numeric integral of V (x) using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (7)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

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Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Choline Quantification

Crop the signal between range 3.17-3.29 ppm. Detect maximum then iteratively find the valleys. Detection and substration of baseline [XR08]. Fit a Gaussian G (x) and a Lorentzian L(x). Compute the convolution between G (x) and L(x) to obtain the Voigt function V (x). Computation of numeric integral of V (x) using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (7)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

22 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Choline Quantification

Crop the signal between range 3.17-3.29 ppm. Detect maximum then iteratively find the valleys. Detection and substration of baseline [XR08]. Fit a Gaussian G (x) and a Lorentzian L(x). Compute the convolution between G (x) and L(x) to obtain the Voigt function V (x). Computation of numeric integral of V (x) using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (7)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

22 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Choline Quantification

Crop the signal between range 3.17-3.29 ppm. Detect maximum then iteratively find the valleys. Detection and substration of baseline [XR08]. Fit a Gaussian G (x) and a Lorentzian L(x). Compute the convolution between G (x) and L(x) to obtain the Voigt function V (x). Computation of numeric integral of V (x) using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (7)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

22 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Choline Quantification

Crop the signal between range 3.17-3.29 ppm. Detect maximum then iteratively find the valleys. Detection and substration of baseline [XR08]. Fit a Gaussian G (x) and a Lorentzian L(x). Compute the convolution between G (x) and L(x) to obtain the Voigt function V (x). Computation of numeric integral of V (x) using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (7)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

22 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Choline Quantification

Crop the signal between range 3.17-3.29 ppm. Detect maximum then iteratively find the valleys. Detection and substration of baseline [XR08]. Fit a Gaussian G (x) and a Lorentzian L(x). Compute the convolution between G (x) and L(x) to obtain the Voigt function V (x). Computation of numeric integral of V (x) using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (7)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

22 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Citrate Quantification

Smooth signal using cubic spline. Find minimum between 2.75-2.95 ppm and 2.40-2.50 ppm. Compute the baseline of absolute signal. Iteratively, find the limits the nearest of the baseline. Substract the baseline. Computation of numeric integral using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (8)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

23 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Citrate Quantification

Smooth signal using cubic spline. Find minima between 2.75-2.95 ppm and 2.40-2.50 ppm. Compute the baseline of absolute signal. Iteratively, find the limits the nearest of the baseline. Substract the baseline. Computation of numeric integral using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (8)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

23 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Citrate Quantification

Smooth signal using cubic spline. Find minima between 2.75-2.95 ppm and 2.40-2.50 ppm. Compute the baseline of absolute signal. Iteratively, find the limits the nearest of the baseline. Substract the baseline. Computation of numeric integral using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (8)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

23 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Citrate Quantification

Smooth signal using cubic spline. Find minima between 2.75-2.95 ppm and 2.40-2.50 ppm. Compute the baseline of absolute signal. Iteratively, find the limits the nearest of the baseline. Substract the baseline. Computation of numeric integral using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (8)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

23 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Citrate Quantification

Smooth signal using cubic spline. Find minima between 2.75-2.95 ppm and 2.40-2.50 ppm. Compute the baseline of absolute signal. Iteratively, find the limits the nearest of the baseline. Substract the baseline. Computation of numeric integral using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (8)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

23 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology Method - Citrate Quantification

Smooth signal using cubic spline. Find minima between 2.75-2.95 ppm and 2.40-2.50 ppm. Compute the baseline of absolute signal. Iteratively, find the limits the nearest of the baseline. Substract the baseline. Computation of numeric integral using Simpson’s rule. Z a f (x) dx = b

b−a 6



 f (a) + 4f

a+b 2



 + f (b) (8)

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

23 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology - Absolute Quantification

Absolute Concentrations → Fully relaxed signal is proportionnal to the number of moles of the molecules in the voxel. 2 × [H2 O] × S0met [met] = (9) nHmet × S0H2 O

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

24 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology - Absolute Quantification

Absolute Concentrations → Fully relaxed signal is proportionnal to the number of moles of the molecules in the voxel. 2 × [H2 O] × S0met (9) [met] = nHmet × S0H2 O Unknown Parameters Fully relaxed water signal: S0H2 O . Fully relaxed metabolite signal: S0met .

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

24 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology - Absolute Quantification

Water Signal: S0H2 O S0H2 O =

Guillaume Lemaˆıtre

∗ S0H exp(− TE T2 ) 2O

1 − exp(− TR T1 )

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

(10)

25 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology - Absolute Quantification Water Signal: S0H2 O S0H2 O =

Guillaume Lemaˆıtre

∗ S0H exp(− TE T2 ) 2O

1 − exp(− TR T1 )

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

(10)

25 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology - Absolute Quantification Water Signal: S0H2 O S0H2 O =

Guillaume Lemaˆıtre

∗ S0H exp(− TE T2 ) 2O

1 − exp(− TR T1 )

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

(10)

25 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology - Absolute Quantification

Water Signal: S0H2 O S0H2 O =

∗ S0H exp(− TE T2 ) 2O

1 − exp(− TR T1 )

(10)

Denominator TR = 720 ms. T1 = 1600 ms.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

25 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology - Absolute Quantification

Metabolite Signal: S0met S0met =

Guillaume Lemaˆıtre

∗ S0met exp(− TE T2 )

1 − exp(− TR T1 )

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

(11)

26 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology - Absolute Quantification

Metabolite Signal: S0met S0met =

∗ S0met exp(− TE T2 )

1 − exp(− TR T1 )

(11)

Numerator ∗ S0met : Choline or citrate concentration. TE = 140 ms. T2 = 180 ms for citrate and 220 ms for choline.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

26 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Methodology - Absolute Quantification

Metabolite Signal: S0met S0met =

∗ S0met exp(− TE T2 )

1 − exp(− TR T1 )

(11)

Denominator TR = 720 ms. T1 = 600 ms for citrate and 1500 ms for choline.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

26 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Outline 1

2 3

4

5

Introduction Motivations MRSI of Prostate Related Works Project Goals Methodology Materials and Patients Method Results ”Healthy” Metabolism Cancer vs. Healthy Tissue Conclusion Considerations Future Works

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

27 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Position Behaviour - Peripheral Zone

”Healthy” Tissue in healthy patients

Zone Apex

Guillaume Lemaˆıtre

Choline 1.70 ± 0.40

Citrate 33.41 ± 10.10

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

28 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Position Behaviour - Peripheral Zone

”Healthy” Tissue in healthy patients

Zone Apex Median Guillaume Lemaˆıtre

Choline 1.70 ± 0.40 2.28 ± 0.56

Citrate 33.41 ± 10.10 45.67 ± 14.05

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

28 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Position Behaviour - Peripheral Zone

”Healthy” Tissue in healthy patients

Zone Apex Median Base Guillaume Lemaˆıtre

Choline 1.70 ± 0.40 2.28 ± 0.56 2.60 ± 0.60

Citrate 33.41 ± 10.10 45.67 ± 14.05 54.28 ± 12.94

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

28 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Position Behaviour - Peripheral Zone

”Healthy” Tissue in biopsy proven cancer

Zone Apex

Guillaume Lemaˆıtre

Choline 1.66 ± 0.32

Citrate 23.67 ± 10.73

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

28 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Position Behaviour - Peripheral Zone

”Healthy” Tissue in biopsy proven cancer

Zone Apex Median Guillaume Lemaˆıtre

Choline 1.66 ± 0.32 1.80 ± 0.48

Citrate 23.67 ± 10.73 35.01 ± 11.52

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

28 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Position Behaviour - Peripheral Zone

”Healthy” Tissue in biopsy proven cancer

Zone Apex Median Base Guillaume Lemaˆıtre

Choline 1.66 ± 0.32 1.80 ± 0.48 2.02 ± 0.82

Citrate 23.67 ± 10.73 35.01 ± 11.52 39.20 ± 20.82

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

28 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Position Behaviour - Peripheral Zone

(a)

Citrate concentration

(b)

Choline concentration

Summarize Increasing concentration of citrate.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

28 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Position Behaviour - Peripheral Zone

(a)

Citrate concentration

(b)

Choline concentration

Summarize Increasing concentration of citrate. Increasing concentration of choline. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

28 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Position Behaviour - Central Zone

”Healthy” Tissue in healthy patients

Zone Apex

Guillaume Lemaˆıtre

Choline 1.71 ± 0.34

Citrate 21.34 ± 6.42

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

29 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Position Behaviour - Central Zone

”Healthy” Tissue in healthy patients

Zone Apex Median Guillaume Lemaˆıtre

Choline 1.71 ± 0.34 1.87 ± 0.44

Citrate 21.34 ± 6.42 23.87 ± 9.38

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

29 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Position Behaviour - Central Zone

”Healthy” Tissue in healthy patients

Zone Apex Median Base Guillaume Lemaˆıtre

Choline 1.71 ± 0.34 1.87 ± 0.44 2.00 ± 0.45

Citrate 21.34 ± 6.42 23.87 ± 9.38 26.42 ± 9.52

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

29 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Position Behaviour - Central Zone

”Healthy” Tissue in biopsy proven cancer

Zone Apex

Guillaume Lemaˆıtre

Choline 1.30 ± 0.29

Citrate 19.70 ± 7.44

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

29 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Position Behaviour - Central Zone

”Healthy” Tissue in biopsy proven cancer

Zone Apex Median Guillaume Lemaˆıtre

Choline 1.30 ± 0.29 1.45 ± 0.19

Citrate 19.70 ± 7.44 16.77 ± 3.82

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

29 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Position Behaviour - Central Zone

”Healthy” Tissue in biopsy proven cancer

Zone Apex Median Base Guillaume Lemaˆıtre

Choline 1.30 ± 0.29 1.45 ± 0.19 1.50 ± 0.41

Citrate 19.70 ± 7.44 16.77 ± 3.82 16.16 ± 4.52

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

29 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Position Behaviour - Central Zone

(a)

Citrate concentration

(b)

Choline concentration

Summarize Constant concentration of citrate. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

29 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Position Behaviour - Central Zone

(a)

Citrate concentration

(b)

Choline concentration

Summarize Constant concentration of citrate. Constant concentration of choline. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

29 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Zonal Behaviour

Zone Peripheral Zone

Guillaume Lemaˆıtre

Choline 2.25 ± 0.64

Citrate 45.34 ± 14.83

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

30 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Zonal Behaviour

Zone Peripheral Zone Central Gland

Guillaume Lemaˆıtre

Choline 2.25 ± 0.64 1.87 ± 0.42

Citrate 45.34 ± 14.83 24.00 ± 8.76

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

30 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Zonal Behaviour

(a)

Citrate concentration

(b)

Choline concentration

Summarize Higher concentration of citrate in PZ than CG.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

30 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results ”Healthy” Metabolism - Zonal Behaviour

(a)

Citrate concentration

(b)

Choline concentration

Summarize Higher concentration of citrate in PZ than CG. Higher concentration of choline in PZ than CG.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

30 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results Cancer vs. Healthy Tissue - Citrate Concentration

Zone Peripheral Zone

Guillaume Lemaˆıtre

No Cancer 45.34 ± 14.83

Cancer 32.97 ± 15.45

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

31 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results Cancer vs. Healthy Tissue - Citrate Concentration

Zone Peripheral Zone Central Gland

Guillaume Lemaˆıtre

No Cancer 45.34 ± 14.83 24.00 ± 8.76

Cancer 32.97 ± 15.45 17.43 ± 5.31

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

31 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results Cancer vs. Healthy Tissue - Citrate Concentration

Zone Peripheral Zone Central Gland Cancer Zone

Guillaume Lemaˆıtre

No Cancer 45.34 ± 14.83 24.00 ± 8.76 NA

Cancer 32.97 ± 15.45 17.43 ± 5.31 14.24 ± 5.28

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

31 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results Cancer vs. Healthy Tissue - Citrate Concentration

Summarize High decrease of citrate concentration in cancer zone compare to peripheral zone.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

31 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results Cancer vs. Healthy Tissue - Citrate Concentration

Summarize High decrease of citrate concentration in cancer zone compare to peripheral zone. No distinction between cancer zone and central gland.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

31 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results Cancer vs. Healthy Tissue - Citrate Concentration

Healthy Patient

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

31 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results Cancer vs. Healthy Tissue - Citrate Concentration

Patient with Cancer

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

31 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results Cancer vs. Healthy Tissue - Choline Concentration

Zone Peripheral Zone

Guillaume Lemaˆıtre

No Cancer 2.25 ± 0.64

Cancer 1.82 ± 0.57

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

32 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results Cancer vs. Healthy Tissue - Choline Concentration

Zone Peripheral Zone Central Gland

Guillaume Lemaˆıtre

No Cancer 2.25 ± 0.64 1.87 ± 0.42

Cancer 1.82 ± 0.57 1.42 ± 0.30

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

32 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results Cancer vs. Healthy Tissue - Choline Concentration

Zone Peripheral Zone Central Gland Cancer Zone

Guillaume Lemaˆıtre

No Cancer 2.25 ± 0.64 1.87 ± 0.42 NA

Cancer 1.82 ± 0.57 1.42 ± 0.30 1.47 ± 0.40

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

32 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Results Cancer vs. Healthy Tissue - Choline Concentration

Summarize No significant variations of choline concentrations between healthy and cancer tissues. Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

32 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Outline 1

2 3

4

5

Introduction Motivations MRSI of Prostate Related Works Project Goals Methodology Materials and Patients Method Results ”Healthy” Metabolism Cancer vs. Healthy Tissue Conclusion Considerations Future Works

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

33 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Conclusion Considerations

Considerations Build a method adapted to the given data.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

34 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Conclusion Considerations

Considerations Build a method adapted to the given data. Compute absolute concentration of citrate and choline:

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

34 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Conclusion Considerations

Considerations Build a method adapted to the given data. Compute absolute concentration of citrate and choline: → Increasing citrate concentration between healthy and cancer tissue as in the literature.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

34 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Conclusion Considerations

Considerations Build a method adapted to the given data. Compute absolute concentration of citrate and choline: → Increasing citrate concentration between healthy and cancer tissue as in the literature. → No significant variations of choline concentration between healthy and cancer.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

34 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Conclusion Considerations

Considerations Build a method adapted to the given data. Compute absolute concentration of citrate and choline: → Increasing citrate concentration between healthy and cancer tissue as in the literature. → No significant variations of choline concentration between healthy and cancer.

Absolute concentration of citrate has been shown to be a discriminative to diagnose prostate cancer in PZ.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

34 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Conclusion Future Works

Future works Acquisition of phantom (groundtruth) to evaluate the method.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

35 / 49

Introduction

Project Goals

Methodology

Results

Conclusion

Conclusion Future Works

Future works Acquisition of phantom (groundtruth) to evaluate the method. Combination of features from functionnal MRI (Perfusion, Diffusion, MRSI, T2 weighted) to implement a framework to detect automatically prostate cancer.

Guillaume Lemaˆıtre

Absolute Quantification in 1 H MRSI of the Prostate at 3 Tesla

35 / 49

Bibliography

Bibliography I AmericanCancerSociety. Cancer facts and figures 2010, 2010. CancerQuest. http://www.cancerquest.org/, May, 2011. P. R. Carroll, F. V. Coakley, and J. Kurhanewicz. Magnetic resonance imaging and spectroscopy of prostate cancer. Rev Urol, 8 Suppl 1:S4–S10, 2006. F. V. Coakley and H. Hricak. Radiologic anatomy of the prostate gland: a clinical approach. Radiol. Clin. North Am., 38:15–30, Jan 2000.

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Bibliography

Bibliography II

Y. J. Choi, J. K. Kim, N. Kim, K. W. Kim, E. K. Choi, and K. S. Cho. Functional MR imaging of prostate cancer. Radiographics, 27:63–75, 2007. J. Ferlay, H.R. Shin, F. Bray, D. Forman, C. Mathers, and D.M. Parkin. Globocan 2008, cancer incidence and mortality worldwide: Iarc cancerbase no. 10 [internet]., 2010. Geckomedia. Natom anatomy, 2011.

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Bibliography

Bibliography III C. Gasparovic, T. Song, D. Devier, H. J. Bockholt, A. Caprihan, P. G. Mullins, S. Posse, R. E. Jung, and L. A. Morrison. Use of tissue water as a concentration reference for proton spectroscopic imaging. Magn Reson Med, 55:1219–1226, Jun 2006. J. M. Garcia-Segura, M. Sanchez-Chapado, C. Ibarburen, J. Viano, J. C. Angulo, J. Gonzalez, and J. M. Rodriguez-Vallejo. In vivo proton magnetic resonance spectroscopy of diseased prostate: spectroscopic features of malignant versus benign pathology. Magn Reson Imaging, 17:755–765, Jun 1999. Guillaume Lemaˆıtre

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Bibliography

Bibliography IV H. Hricak, G. C. Dooms, J. E. McNeal, A. S. Mark, M. Marotti, A. Avallone, M. Pelzer, E. C. Proctor, and E. A. Tanagho. MR imaging of the prostate gland: normal anatomy. AJR Am J Roentgenol, 148:51–58, Jan 1987. J. F. Jansen, W. H. Backes, K. Nicolay, and M. E. Kooi. 1H MR spectroscopy of the brain: absolute quantification of metabolites. Radiology, 240:318–332, Aug 2006. M. Kanowski, J. Kaufmann, J. Braun, J. Bernarding, and C. Tempelmann. Quantitation of simulated short echo time 1H human brain spectra by LCModel and AMARES. Magn Reson Med, 51:904–912, May 2004. Guillaume Lemaˆıtre

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Bibliography

Bibliography V

B. M. Kelm, B. H. Menze, C. M. Zechmann, K. T. Baudendistel, and F. A. Hamprecht. Automated estimation of tumor probability in prostate magnetic resonance spectroscopic imaging: pattern recognition vs quantification. Magn Reson Med, 57:150–159, Jan 2007. J. Kurhanewicz, D. B. Vigneron, H. Hricak, P. Narayan, P. Carroll, and S. J. Nelson. Three-dimensional H-1 MR spectroscopic imaging of the in situ human prostate with high (0.24-0.7-cm3) spatial resolution. Radiology, 198:795–805, Mar 1996.

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Bibliography

Bibliography VI

J. Kurhanewicz, D. B. Vigneron, S. J. Nelson, H. Hricak, J. M. MacDonald, B. Konety, and P. Narayan. Citrate as an in vivo marker to discriminate prostate cancer from benign prostatic hyperplasia and normal prostate peripheral zone: detection via localized proton spectroscopy. Urology, 45:459–466, Mar 1995. M. Lavielle. Detection of multiple changes in a sequence of dependent variables. Stochastic Processes and their Applications, 83(1):79–102, September 1999.

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Bibliography VII

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