Two-stage multishape segmentation of brain structures using image intensity, tissue type, and location information

Medical Physics

Volumn 37, Issue 8, 2010, Pages 4501-4516

  Akhondi Asl, Alireza ^a,b,c   Soltanian Zadeh, Hamid ^a,b,c  

^a UNIVERSITY OF TEHRAN   (Iran)

^b INSTITUTE FOR RESEARCH IN FUNDAMENTAL SCIENCES IPM   (Iran)

^c HENRY FORD HEALTH SYSTEM   (United States)

Author keywords

brain structures; image segmentation; level set; location information; medical image processing; shape modeling; tissue type information

Indexed keywords

BRAIN; ENTROPY; IMAGE SEGMENTATION; LOCATION; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGE PROCESSING; MEDICAL IMAGING; NEWTON-RAPHSON METHOD; NUMERICAL METHODS; OPTIMIZATION; PROBABILITY DENSITY FUNCTION;

BRAIN STRUCTURE; LEVEL SET; LOCATION INFORMATION; SHAPE MODEL; TISSUE TYPES;

TISSUE;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 78149483199     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3459018     Document Type: Article

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