Automatic 3D segmentation of prostate in MRI combining a priori knowledge, Markov fields and Bayesian framework

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 2992-2995

  Makni, N ^a,b   Puech, P ^c,d   Lopes, R ^a   Viard, R ^c   Colot, O ^e   Betrouni, N ^c  

^a LILLE UNIVERSITY HOSPITAL   (France)

^b CNRS   (France)

^c INSERM   (France)

^d Huriez University Hospital   (France)

^e ECOLE CENTRALE DE LILLE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; DISEASES; MAGNETIC RESONANCE IMAGING; UROLOGY;

AUTOMATIC SEGMENTATIONS; BAYESIAN FRAMEWORKS; BENIGN PROSTATIC HYPERTROPHY; CONTEXTUAL INFORMATION; GAUSSIAN MIXTURES; HAUSDORFF DISTANCE; ITERATIVE CONDITIONAL MODES; STATISTICAL SHAPE MODEL;

ITERATIVE METHODS;

ALGORITHM; ARTICLE; COMPUTER ASSISTED RADIOTHERAPY; COMPUTER PROGRAM; HISTOLOGY; HUMAN; MALE; METHODOLOGY; NORMAL DISTRIBUTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PELVIS; PROBABILITY; PROSTATE; PROSTATE TUMOR; RADIOLOGY; THREE DIMENSIONAL IMAGING; TUMOR VOLUME;

ALGORITHMS; HUMANS; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; MARKOV CHAINS; NORMAL DISTRIBUTION; PELVIS; PROBABILITY; PROSTATE; PROSTATIC NEOPLASMS; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; SOFTWARE; TECHNOLOGY, RADIOLOGIC; TUMOR BURDEN;

EID: 61849101949     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4649832     Document Type: Conference Paper

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