Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
352-02-004 / 352-02-004 ISMRM Abstract

A Semi-Automated Method for Body Fat Quantification Using MRI

Primary: Body - Body Composition
Secondary: Body - Whole Body Imaging
352-02-004 · Segmentation: Automated, Scalable, and Clinically Oriented MRI Analysis · Monday, 11 May, 1:50 PM–3:26 PM · Power Pitch Theatre 2
352-02-004 · Segmentation: Automated, Scalable, and Clinically Oriented MRI Analysis · Monday, 11 May, 1:50 PM–3:26 PM · Power Pitch Theatre 2
Keywords: Whole Body Fat Quantification Body Composition Analysis Fat fraction (FF) Visceral Adipose Tissue
Accepted
Harisha C 1, RAVI CHANDIRA APPAJI RAVI CHANDIRA APPAJI1, Yatin sharma2,3, Gregor Thoermer4, Rakesh Kumar5, Bhairav B Mehta1, Devasenathipathy Kandasamy6
1Siemens Healthcare Pvt. Ltd., BENGALURU, India
2Magnetic Resonance, Siemens Healthineers India, Bangalore, India
3MR Research Collaboration, Siemens Healthineers, India
4MR Research & Clinical Translation, Siemens Healthineers AG, Erlangen, Germany
5Professor , All India Institute of Medical Sciences, New Delhi., India
6Department of Radio Diagnosis, All India Institute of Medical Sciences, New Delhi, India
Presenting Author: Harisha C

Synopsis

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References

1. Fox CS, Massaro JM, Hoffmann U, et al. Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study. Circulation 2007; 116:39–48. doi: 10.1161/CIRCULATIONAHA.106.675355. [doi]
2. Reeder, Scott Brian, et al. "Relationship between proton-density fat fraction and true fat concentration for in vivo fat quantification with magnetic resonance imaging." Proceedings of the 19th Annual Meeting of ISMRM. 2011.
3. Azzi, Alain J., et al. "Objective quantification of liposuction results." Journal of Cutaneous and Aesthetic Surgery 11.3 (2018): 105-109.
4. Wasserthal J, Breit H-C, Meyer MT et al (2023) Totalsegmentator: Robust segmentation of 104 anatomic structures in CT images. Radiology: Artificial Intelligence. 5: e230024
5. Johnson, H.J.; McCormick, M.; Ibáñez, L.; Consortium, T.I.S. The ITK Software Guide, 4th ed.; Kitware, Inc.: New York, NY, USA, 2018.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/352-02-004