Development of automatic visceral fat volume calculation software for CT volume data

Journal of Obesity

Volumn 2014, Issue , 2014, Pages

  Nemoto, Mitsutaka ^a   Yeernuer, Tusufuhan ^b   Masutani, Yoshitaka ^a   Nomura, Yukihiro ^a   Hanaoka, Shouhei ^a   Miki, Soichiro ^a   Yoshikawa, Takeharu ^a   Hayashi, Naoto ^a   Ohtomo, Kuni ^a  

^a UNIVERSITY OF TOKYO HOSPITAL   (Japan)

^b XINJIANG MEDICAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ANTHROPOMETRY; ARTICLE; AUTOMATION; BODY FAT DISTRIBUTION; BODY HEIGHT; BODY MASS; BODY WEIGHT; CALCULATION; CLINICAL ARTICLE; COMPUTED TOMOGRAPHY SCANNER; COMPUTER PROGRAM; CONTROLLED STUDY; DIGITAL IMAGING AND COMMUNICATIONS IN MEDICINE; FEASIBILITY STUDY; FEMALE; HUMAN; IMAGE PROCESSING; INTRAABDOMINAL FAT; MALE; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PUBIS SYMPHYSIS; SEX DIFFERENCE; SUBCUTANEOUS FAT; VISCERAL FAT VOLUME; WAIST CIRCUMFERENCE; WHOLE BODY CT; ALGORITHM; COMPUTER ASSISTED TOMOGRAPHY; CONE BEAM COMPUTED TOMOGRAPHY; EVALUATION STUDY; OBESITY; PROCEDURES; STANDARDS; THREE DIMENSIONAL IMAGING;

ADIPOSITY; ALGORITHMS; BODY MASS INDEX; CONE-BEAM COMPUTED TOMOGRAPHY; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INTRA-ABDOMINAL FAT; MALE; SOFTWARE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84897529484     PISSN: 20900708     EISSN: 20900716     Source Type: Journal    
DOI: 10.1155/2014/495084     Document Type: Article

References (14)

1. Definition, Diagnosis and Classification of Diabetes Mellitus and Its Complications 1999 World Health Organisation
2. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults, Executive summary of the third report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (adult treatment panel III). The Journal of the American Medical Association 2001 285 19 2486 2497 2-s2.0-0035897696
3. Yanovski S. Z., Overweight, obesity, and health risk: National Task Force on the prevention and treatment of obesity. Archives of Internal Medicine 2000 160 7 898 904 2-s2.0-0034630441 (Pubitemid 30191916)
4. MacDougald O. A., Burant C. F., The rapidly expanding family of adipokines. Cell Metabolism 2007 6 3 159 161 2-s2.0-34548247242 10.1016/j.cmet.2007.08.010 (Pubitemid 47324145)
5. Shimomura I., Funahashi T., Takahashi M., Maeda K., Kotani K., Nakamura T., Yamashita S., Miura M., Fukuda Y., Takemura K., Tokunaga K., Matsuzawa Y., Enhanced expression of PAI-1 in visceral fat: possible contributor to vascular disease in obesity. Nature Medicine 1996 2 7 800 803 2-s2.0-15844381594 10.1038/nm0796-800 (Pubitemid 26225097)
6. Wei S., Punyanitya M., Jun C., Gallagher D., Albu J., Pi-Sunyer X., Lewis C. E., Grunfeld C., Heshka S., Heymsfield S. B., Waist circumference correlates with metabolic syndrome indicators better than percentage fat. Obesity 2006 14 4 727 736 2-s2.0-33846891578 10.1038/oby.2006.83 (Pubitemid 46219749)
7. Janssen I., Heymsfield S. B., Allison D. B., Kotler D. P., Ross R., Body mass index and waist circumference independently contribute to the prediction of nonabdominal, abdominal subcutaneous, and visceral fat. American Journal of Clinical Nutrition 2002 75 4 683 688 2-s2.0-0036199541 (Pubitemid 34250681)
8. Zhao B., Colville J., Kalaigian J., Curran S., Jiang L., Kijewski P., Schwartz L. H., Automated quantification of body fat distribution on volumetric computed tomography. Journal of Computer Assisted Tomography 2006 30 5 777 783 2-s2.0-33748572600 10.1097/01.rct.0000228164.08968.e8 (Pubitemid 44368215)
9. Tanaka S., Yoshiyama M., Imanishi Y., Nakahira K., Hanaki T., Naito Y., Imai M., Tanaka M., MR measurement of visceral fat: assessment of metabolic syndrome. Magnetic Resonance in Medical Sciences 2006 5 4 207 210 2-s2.0-34249733767 10.2463/mrms.5.207
10. Positano V., Gastaldelli A., Sironi A. M., Santarelli M. F., Lombardi M., Landini L., An accurate and robust method for unsupervised assessment of abdominal fat by MRI. Journal of Magnetic Resonance Imaging 2004 20 4 684 689 2-s2.0-4744348266 10.1002/jmri.20167 (Pubitemid 39313745)
11. Liou T.-H., Chan W. P., Pan L.-C., Lin P.-W., Chou P., Chen C.-H., Fully automated large-scale assessment of visceral and subcutaneous abdominal adipose tissue by magnetic resonance imaging. International Journal of Obesity 2006 30 5 844 852 2-s2.0-33646342510 10.1038/sj.ijo.0803216
12. Yoshizumi T., Nakamura T., Yamane M., Waliul Islam A. H. M., Menju M., Yamasaki K., Arai T., Kotani K., Funahashi T., Yamashita S., Matsuzawa Y., Abdominal fat: standardized technique for measurement at CT. Radiology 1999 211 1 283 286 2-s2.0-0032950793 (Pubitemid 29161765)
13. Masutani Y., Dohi T., Kikinis R., RBF-based representation of volumetric data: application in visualization and segmentation. Medical Image Computing and Computer-Assisted Intervention-MICCAI 2002 2002 Berlin, Germany Springer 300 307
14. Nomura Y., Hayashi N., Masutani Y., Yoshikawa T., Nemoto M., Hanaoka S., Miki S., Maeda E., Ohtomo K., CIRCUS: an MDA platform for clinical image analysis in hospitals. Transactions on Mass-Data Analysis of Images and Signals 2010 2 1 112 127