Body fat assessment method using ct images with separation mask algorithm

Journal of Digital Imaging

Volumn 26, Issue 2, 2013, Pages 155-162

  Kim, Young Jae ^a   Lee, Seung Hyun ^a,c   Kim, Tae Yun ^a   Park, Jeong Yun ^d   Choi, Seung Hong ^b   Kim, Kwang Gi ^a  

^a National Cancer Center   (South Korea)

^b Seoul National University Hospital   (South Korea)

^c Kwangwoon University   (South Korea)

^d University of Ulsan College of Medicine   (South Korea)

Author keywords

Body fat; Computedtomography (CT); Dexa; Fat assessment; Separation mask

Indexed keywords

ALGORITHMS; AUTOMATION; IMAGE PROCESSING; NUTRITION; POPULATION STATISTICS;

BODY FATS; COMPUTEDTOMOGRAPHY (CT); CORRELATION COEFFICIENT; DEXA; DUAL-ENERGY X-RAY ABSORPTIOMETRY; FAT ASSESSMENT; IMAGE PROCESSING TECHNIQUE; QUANTITATIVE MEASUREMENT;

COMPUTERIZED TOMOGRAPHY;

ABDOMINAL FAT; ADULT; ALGORITHM; ARTICLE; BODY MASS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; EPIDEMIOLOGY; FEMALE; HUMAN; MALE; METHODOLOGY; MIDDLE AGED; OBESITY; PHOTON ABSORPTIOMETRY; RADIOGRAPHY; SENSITIVITY AND SPECIFICITY; SUBCUTANEOUS FAT;

ABDOMINAL FAT; ABSORPTIOMETRY, PHOTON; ADULT; ALGORITHMS; BODY MASS INDEX; FEMALE; HUMANS; MALE; MIDDLE AGED; OBESITY; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SAMPLING STUDIES; SENSITIVITY AND SPECIFICITY; SUBCUTANEOUS FAT; TOMOGRAPHY, X-RAY COMPUTED; YOUNG ADULT;

EID: 84884323259     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-012-9488-0     Document Type: Article

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