Fully automated prostate segmentation in 3D MR based on normalized gradient fields cross-correlation initialization and LOGISMOS refinement

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 8314, Issue , 2012, Pages

  Yin, Yin ^a   Fotin, Sergei V ^a   Periaswamy, Senthil ^a   Kunz, Justin ^a   Haldankar, Hrishikesh ^a   Muradyan, Naira ^a   Cornud, François ^b   Turkbey, Baris ^c   Choyke, Peter ^c  

^a ICAD INC   (United States)

^b Centre d Imagerie Médicale Tourville   (France)

^c NATIONAL CANCER INSTITUTE   (United States)

Author keywords

Gradient fields cross correlation; Graph search; LOGISMOS; Prostate segmentation

Indexed keywords

CLASSIFIER TRAINING; COARSE-TO-FINE; CONTEXT-BASED; CROSS CORRELATIONS; DETECTION APPROACH; GRAPH SEARCH; IMAGE-GUIDED; INTENSITY VARIATIONS; IRREGULAR SHAPE; LOGISMOS; MR IMAGES; NORMALIZED GRADIENT; PROSTATE SEGMENTATION; RUNNING TIME; SEGMENTATION PERFORMANCE; SHAPE MODEL; STATE-OF-THE-ART PERFORMANCE; TISSUE CHARACTERIZATION; TOPOLOGY INFORMATION; TRAINING IMAGE;

ALGORITHMS; AUTOMATION; IMAGE PROCESSING; MEDICAL IMAGING; TISSUE; ULTRASONIC APPLICATIONS; UROLOGY;

THREE DIMENSIONAL;

EID: 84860750233     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.911758     Document Type: Conference Paper

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