Improvement of Image Reconstruction of Human Abdominal Conductivity by Impedance Tomography Considering the Bioelectrical Anisotropy-Reference-Cited by-同舟云学术

Improvement of Image Reconstruction of Human Abdominal Conductivity by Impedance Tomography Considering the Bioelectrical Anisotropy

Published:2012 Issue:0 Volume:1 Page:98-106
ISSN:2187-5219
Container-title:Advanced Biomedical Engineering
language:en
Short-container-title:ABE

Author:

YAMAGUCHI Tohru F.¹²,KATASHIMA Mitsuhiro¹,WANG Li-Qun³,KURIKI Shinya²³

Affiliation:

1. Health Care Food Research Laboratories, Kao Corporation

2. Graduate School of Advanced Science and Technology, Tokyo Denki University

3. Research Center for Advanced Technologies, Tokyo Denki University

Publisher

Japanese Society for Medical and Biological Engineering

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering,Biomaterials,Biotechnology

Link

https://www.jstage.jst.go.jp/article/abe/1/0/1_98/_pdf

Reference34 articles.

1. 1. Després JP, Lemieux I : Abdominal obesity and metabolic syndrome. Nature. 444 (7121), pp. 881-887, 2006.

2. 2. Matsushita Y, Nakagawa T, Yamamoto S, Takahashi Y, Yokoyama T, Noda M, Mizoue T: Associations of visceral and subcutaneous fat areas with the prevalence of metabolic risk factor clustering in 6292 Japanese individuals : the Hitachi Health Study. Diabetes Care. 33( 9 ), pp. 2117-2119, 2010.

3. 3. Cornier MA, Dabelea D, Hernandez TL, Lindstrom RC, Steig AJ, Stob NR, Van Pelt RE, Wang H, Eckel RH: The metabolic syndrome. Endocr Rev. 29 ( 7 ), pp. 777-822, 2008.

4. 4. Eckel RH, Grundy SM, Zimmet PZ: The metabolic syndrome. Lancet. 365(9468), pp. 1415-1428, 2005.

5. 5. Matsuzawa Y, Funahashi T, Nakamura T: The concept of metabolic syndrome: contribution of visceral fat accumulation and its molecular mechanism. J Atheroscler Thromb. 18( 8 ), pp. 629-639, 2011.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Electrical Impedance Tomography-Based Abdominal Subcutaneous Fat Estimation Method Using Deep Learning;Computational and Mathematical Methods in Medicine;2020-06-11

2. Computational method for estimating boundary of abdominal subcutaneous fat for absolute electrical impedance tomography;International Journal for Numerical Methods in Biomedical Engineering;2017-08-09