3D image segmentation of deformable objects with joint shape-intensity prior models using level sets

Medical Image Analysis

Volumn 8, Issue 3, 2004, Pages 285-294

  Yang, Jing ^a   Duncan, James S ^a  

^a Yale University   (United States)

Author keywords

3D image segmentation; Deformable models; Level set; Shape intensity joint prior models

Indexed keywords

ARTICLE; BAYES THEOREM; CLINICAL OBSERVATION; CONTROLLED STUDY; DATA ANALYSIS; EXPERIMENTAL MODEL; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; INFORMATION PROCESSING; MATHEMATICAL COMPUTING; NOISE; NUCLEAR MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROBABILITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BAYES THEOREM; BRAIN MAPPING; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED;

EID: 4444338467     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2004.06.008     Document Type: Article

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