The use of unwrapped phase in MR image segmentation: A preliminary study

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3750 LNCS, Issue , 2005, Pages 813-820

  Bourgeat, Pierrick ^a   Fripp, Jurgen ^a,c   Janke, Andrew ^b   Galloway, Graham ^b   Crozier, Stuart ^c   Ourselin, Sébastien ^a  

^a CSIRO   (Australia)

^b Centre for Magnetic Resonance   (Australia)

^c UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL ORGANS; IMAGE SEGMENTATION; INFORMATION ANALYSIS; MATHEMATICAL MODELS; PROBLEM SOLVING; TEXTURES; TISSUE;

PHASE INFORMATION; PRECISE SEGMENTATION; SURROUNDING TISSUES; TISSUE CLASSIFICATION;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; FEMUR; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PILOT STUDY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; TIBIA;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FEMUR; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PILOT PROJECTS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TIBIA;

EID: 33744817929     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566489_100     Document Type: Conference Paper

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