Automatic quantification of subcutaneous and visceral adipose tissue from whole-body magnetic resonance images suitable for large cohort studies

Journal of Magnetic Resonance Imaging

Volumn 36, Issue 6, 2012, Pages 1421-1434

  Wald, Diana ^a   Teucher, Birgit ^a   Dinkel, Julien ^a   Kaaks, Rudolf ^a   Delorme, Stefan ^a   Boeing, Heiner ^b   Seidensaal, Katharina ^a   Meinzer, Hans Peter ^a   Heimann, Tobias ^a  

^a GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

^b GERMAN INSTITUTE OF HUMAN NUTRITION   (Germany)

Author keywords

2 point Dixon sequence; automatic image segmentation; chronic diseases; subcutaneous adipose tissue; visceral adipose tissue; whole body magnetic resonance imaging

Indexed keywords

ADULT; ARTICLE; AUTOMATION; BODY REGIONS; BONE MARROW; CHRONIC DISEASE; FEMALE; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; IMAGE PROCESSING; INTRAABDOMINAL FAT; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RISK ASSESSMENT; SAMPLE SIZE; SUBCUTANEOUS FAT; SYSTEMATIC ERROR; WHOLE BODY RADIATION;

ALGORITHMS; COHORT STUDIES; EUROPE; FEMALE; HUMANS; IMAGING, THREE-DIMENSIONAL; INTRA-ABDOMINAL FAT; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; ORGAN SIZE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBCUTANEOUS FAT; WHOLE BODY IMAGING;

EID: 84869437969     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.23775     Document Type: Article

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