OBJECTIVE: The purpose of this article is to determine the feasibility of using computer-assisted diagnosis (CAD) techniques to automatically identify, localize, and measure body fat tissue from a rapid whole-body MRI examination. CONCLUSION: Whole-body MRI in conjunction with CAD allows a fast, automatic, and accurate approach to body fat measurement and localization and can be a useful alternative to body mass index. Whole-body fat analysis can be achieved in less than 5 min.
OBJECTIVE: The purpose of this article is to determine the feasibility of using computer-assisted diagnosis (CAD) techniques to automatically identify, localize, and measure body fat tissue from a rapid whole-body MRI examination. CONCLUSION: Whole-body MRI in conjunction with CAD allows a fast, automatic, and accurate approach to body fat measurement and localization and can be a useful alternative to body mass index. Whole-body fat analysis can be achieved in less than 5 min.
Authors: Rami Homsi; Michael Meier-Schroers; Jürgen Gieseke; Darius Dabir; Julian A Luetkens; Daniel L Kuetting; Claas P Naehle; Christian Marx; Hans H Schild; Daniel K Thomas; Alois M Sprinkart Journal: Int J Cardiovasc Imaging Date: 2015-09-30 Impact factor: 2.357
Authors: S Bonekamp; P Ghosh; S Crawford; S F Solga; A Horska; F L Brancati; A M Diehl; S Smith; J M Clark Journal: Int J Obes (Lond) Date: 2007-08-14 Impact factor: 5.095
Authors: Michael S Middleton; William Haufe; Jonathan Hooker; Magnus Borga; Olof Dahlqvist Leinhard; Thobias Romu; Patrik Tunón; Gavin Hamilton; Tanya Wolfson; Anthony Gamst; Rohit Loomba; Claude B Sirlin Journal: Radiology Date: 2017-03-09 Impact factor: 11.105
Authors: Cheng William Hong; Soudabeh Fazeli Dehkordy; Jonathan C Hooker; Gavin Hamilton; Claude B Sirlin Journal: Top Magn Reson Imaging Date: 2017-12
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