Improving the accuracy of volumetric segmentation using pre-processing boundary detection and image reconstruction

IEEE Transactions on Image Processing

Volumn 13, Issue 4, 2004, Pages 459-466

  Archibald, Rick ^a   Hu, Jiuxiang ^a   Gelb, Anne ^a   Farin, Gerald ^b  

^a ARIZONA STATE UNIVERSITY   (United States)

^b Arizona State University   (United States)

Author keywords

Edge detection; Gegenbauer reconstruction; Magnetic resonance imaging; Three dimensional (3 D) segmentation; Weibull E SD field

Indexed keywords

EDGE DETECTION; IMAGE QUALITY; IMAGE RECONSTRUCTION; MAGNETIC RESONANCE IMAGING; THREE DIMENSIONAL; WEIBULL DISTRIBUTION;

BOUNDARY DETECTION; GEGENBAUER RECONSTRUCTION; VOLUMETRIC SEGMENTATION;

IMAGE SEGMENTATION;

ALGORITHM; ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HISTOLOGY; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; MOUSE; NUCLEAR MAGNETIC RESONANCE IMAGING; QUALITY CONTROL; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ANIMALS; BRAIN; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MAGNETIC RESONANCE IMAGING; MICE; PATTERN RECOGNITION, AUTOMATED; QUALITY CONTROL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 1942436695     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2003.819862     Document Type: Article

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