Model-based segmentation of medical imagery by matching distributions

IEEE Transactions on Medical Imaging

Volumn 24, Issue 2, 2005, Pages 281-292

  Freedman, Daniel ^a   Radke, Richard J ^b   Zhang, Tao ^b   Jeong, Yongwon ^b   Lovelock, D Michael ^c   Chen, George T Y ^d  

^a Rensselaer Polytechnic Institute   (United States)

^b RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^c MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

^d MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

Deformable segmentation; Image guided therapy; Medical image segmentation; Prostate cancer; Prostate segmentation; Shape and appearance model

Indexed keywords

ALGORITHMS; COMPUTER VISION; COMPUTERIZED TOMOGRAPHY; IMAGE ANALYSIS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; OBJECT RECOGNITION; RADIOTHERAPY; THREE DIMENSIONAL; PHOTOMETRY; PROBABILITY DISTRIBUTIONS; TUMORS;

DEFORMABLE SEGMENTATION; IMAGE-GUIDED THERAPY; MEDICAL IMAGE SEGMENTATION; PROSTATE CANCER; PROSTATE SEGMENTATION; SHAPE AND APPEARANCE MODEL;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED RADIOTHERAPY; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; EVALUATION; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; MALE; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; PROSTATE TUMOR; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MALE; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; PROSTATIC NEOPLASMS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOTHERAPY, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STATISTICAL DISTRIBUTIONS; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 19044388414     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2004.841228     Document Type: Article

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