Automatic correction of intensity inhomogeneities improves unsupervised assessment of abdominal fat by MRI

Journal of Magnetic Resonance Imaging

Volumn 28, Issue 2, 2008, Pages 403-410

  Positano, Vincenzo ^a,b   Cusi, Kenneth ^c   Santarelli, Maria Filomena ^a,b   Sironi, Annamaria ^a,b   Petz, Roberta ^a,b   DeFronzo, Ralph ^c   Landini, Luigi ^b,d   Gastaldelli, Amalia ^a,b,c  

^a INSTITUTE OF CLINICAL PHYSIOLOGY   (Italy)

^b FONDAZIONE TOSCANA GABRIELE MONASTERIO   (Italy)

^c UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

^d UNIVERSITY OF PISA   (Italy)

Author keywords

Abdominal fat; Fuzzy clustering; Image processing; MRI

Indexed keywords

ABDOMINAL FAT; ADULT; AGED; ALGORITHM; ARTICLE; BODY MASS; CLINICAL ARTICLE; CLINICAL ASSESSMENT; COMPUTER PROGRAM; CONTROLLED STUDY; HUMAN; INTERMETHOD COMPARISON; INTRAABDOMINAL FAT; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; SUBCUTANEOUS FAT; TISSUE DISTRIBUTION;

ABDOMINAL FAT; ALGORITHMS; BODY MASS INDEX; FEMALE; FUZZY LOGIC; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED;

EID: 49049103343     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.21448     Document Type: Article

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