Clinical pilot study for the automatic segmentation and recognition of abdominal adipose tissue compartments from MRI data

RoFo Fortschritte auf dem Gebiet der Rontgenstrahlen und der Bildgebenden Verfahren

Volumn 184, Issue 6, 2012, Pages 548-555

  Noel P B ^a   Bauer, J S ^a   Ganter, C ^a   Markus, C ^a   Rummeny, E J ^a   Hauner, H ^a   Engels, H P ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

image manipulation reconstruction; MR imaging; physics; segmentation

Indexed keywords

ABDOMINAL FAT; ALGORITHM; ARTICLE; CELL COMPARTMENTALIZATION; ERROR; FEASIBILITY STUDY; HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; OBESITY; PILOT STUDY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RECOGNITION; SUBCUTANEOUS FAT;

ABDOMINAL FAT; ALGORITHMS; ARTIFACTS; BODY FAT DISTRIBUTION; BODY MASS INDEX; FEASIBILITY STUDIES; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; OBESITY, ABDOMINAL; OBESITY, MORBID; PHANTOMS, IMAGING; SENSITIVITY AND SPECIFICITY; SOFTWARE; STATISTICS AS TOPIC; USER-COMPUTER INTERFACE;

EID: 84861454567     PISSN: 14389029     EISSN: 14389010     Source Type: Journal    
DOI: 10.1055/s-0031-1299376     Document Type: Article

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