6533b852fe1ef96bd12ab92a
RESEARCH PRODUCT
Automatic classification of tissues using T1 and T2 relaxation times from prostate MRI: a step toward generation of PET/MR attenuation map
Jorge Zavala BojorquezAlain LalandePaul WalkerStéphanie Bricqsubject
[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingComputer sciencebusiness.industryAttenuation[INFO.INFO-IM] Computer Science [cs]/Medical ImagingRelaxation (iterative method)Pattern recognition030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicinemedicine.anatomical_structure[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]ProstateT2 relaxation[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processingmedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingArtificial intelligencebusiness030217 neurology & neurosurgeryComputingMilieux_MISCELLANEOUSdescription
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.
year | journal | country | edition | language |
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2015-09-01 |