AUTOMATIC CLASSIFICATION OF TISSUES USING T1 AND T2 RELAXATION TIMES FROM PROSTATE MRI: A STEP TOWARDS GENERATION OF PET/MR ATTENUATION MAP
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | AUTOMATIC CLASSIFICATION OF TISSUES USING T1 AND T2 RELAXATION TIMES FROM PROSTATE MRI: A STEP TOWARDS GENERATION OF PET/MR ATTENUATION MAP |
| Type de publication | Conference Paper |
| Year of Publication | 2015 |
| Auteurs | Bojorquez JZavala, Bricq S, Walker PM, Lalande A |
| Conference Name | 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) |
| Publisher | Inst Elect & Elect Engineers; IEEE Signal Proc Soc |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-4799-8339-1 |
| Mots-clés | attenuation, Classification, correction, mri, Prostate, T-1 and T-2 relaxation times |
| Résumé | This paper presents a new methodology providing the first step towards generating attenuation maps for PET/MR systems based solely on MR information. The new method segments and classifies the attenuation-differing regions of the patient's pelvis based on acquired T-1 - and T-2-weighted MR data sets and anatomical-based knowledge by computing the tissue specific T-1 and T-2 relaxation times, using a robust implementation of the weighted fuzzy C-means algorithm and applying a novel process to detect bones. We have demonstrated the feasibility of this approach by correctly segmenting and classifying six differing regions of structural and anatomical importance: fat, muscle, prostate, air, background and bones. |