A shape-based approach to the segmentation of medical imagery using level sets

IEEE Transactions on Medical Imaging

Volumn 22, Issue 2, 2003, Pages 137-154

  Tsai, Andy ^a   Yezzi Jr , Anthony ^b   Wells, Williams ^c,d   Tempany, Clare ^c   Tucker, Dewey ^a   Fan, Ayres ^a   Grimson, W Eric ^d   Willsky, Alan ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

^d MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Active contours; Binary image alignment; Cardiac MRI segmentation; Curve evolution; Deformable model; Distance transforms; Eigenshapes; Implicit shape representation; Medical image segmentation; Parametric shape model; Principal component analysis; Prostate segmentation; Shape prior; Statistical shape model

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; PRINCIPAL COMPONENT ANALYSIS;

BINARY IMAGE ALIGNMENT; DISTANCE TRANSFORMS; EIGENSHAPES; IMPLICIT SHAPE REPRESENTATION; PARAMETRIC SHAPE MODEL; PROSTATE SEGMENTATION; STATISTICAL SHAPE MODEL;

MEDICAL IMAGING;

ALGORITHM; ANATOMY; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HEART VENTRICLE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PROSTATE; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ANATOMY, CROSS-SECTIONAL; COMPUTER SIMULATION; HEART VENTRICLES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; PATTERN RECOGNITION, AUTOMATED; PROSTATE; SUBTRACTION TECHNIQUE;

EID: 0038736725     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2002.808355     Document Type: Article

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