Evaluation of a fully automated computed tomography image segmentation method for fast and accurate body composition measurements
Commercially available Data Analysis Facilitation Suite provides similar results compared to manual measurements of body composition at the level of third lumbar vertebra. This software provides accurate and time-efficient body composition measurements, which is necessary for implementation in clinical practice.
Authors
- Mirza Faisal Beg (ORCID: https://orcid.org/0000-0001-6706-8630)
- Cornelis Verhoef (ORCID: https://orcid.org/0000-0001-9980-8613)
- Mushfiqus Salehin (ORCID: https://orcid.org/0009-0009-2453-2005)
- Eva V. E. Madsen (ORCID: https://orcid.org/0000-0001-8433-964X)
- Karteek Popuri (ORCID: https://orcid.org/0000-0002-1729-3255)
- Michelle V. Dietz (ORCID: https://orcid.org/0000-0002-4304-3022)
- Lars A.L. Janssen (ORCID: https://orcid.org/0009-0000-2091-369X)
- Vincent Chow
- Jeroen L.A. van Vugt (ORCID: https://orcid.org/0000-0003-0033-9947)
- Hyunwoo Lee (ORCID: https://orcid.org/0000-0002-8598-9123)
- Da Ma (ORCID: https://orcid.org/0000-0003-3770-1989)
Institutions
- Memorial University of Newfoundland (CA)
- University of British Columbia (CA)
- Simon Fraser University (CA)
- Erasmus MC Cancer Institute (NL)
- Wake Forest University (US)
Publication Details
- Journal
- Nutrition
- Published
- 2024-10-05
- DOI
- https://doi.org/10.1016/j.nut.2024.112592
- Citations
- 10
- Primary Topic
- Body Composition Measurement Techniques
- Type
- article
- Field-Weighted Citation Impact
- 3.27