Fully automated large-scale assessment of visceral and subcutaneous abdominal adipose tissue by magnetic resonance imaging

International Journal of Obesity

Volumn 30, Issue 5, 2006, Pages 844-852

  Liou, T H ^a,b   Chan, W P ^b   Pan, L C ^b   Lin, P W ^b   Chou, P ^a   Chen, C H ^b,c  

^a NATIONAL YANG MING UNIVERSITY   (Taiwan)

^b TAIPEI MEDICAL UNIVERSITY   (Taiwan)

^c TAIPEI MEDICAL UNIVERSITY   (Taiwan)

Author keywords

Abdominal fat volume; Image segmentation; Knowledge based curve fitting; Magnetic resonance imaging (MRI); Mathematical morphology

Indexed keywords

ADIPOSE TISSUE; ADULT; ARTICLE; AUTOMATION; CLINICAL ARTICLE; DUAL ENERGY X RAY ABSORPTIOMETRY; FEMALE; HISTOGRAM; HUMAN; MAGNETIC FIELD; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SUBCUTANEOUS TISSUE; VISCERA;

ABDOMINAL FAT; ADULT; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; INTRA-ABDOMINAL FAT; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; SENSITIVITY AND SPECIFICITY; SUBCUTANEOUS FAT, ABDOMINAL;

EID: 33646342510     PISSN: 03070565     EISSN: 14765497     Source Type: Journal    
DOI: 10.1038/sj.ijo.0803216     Document Type: Article

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