Automated quantification of body fat distribution on volumetric computed tomography.

@article{Zhao2006AutomatedQO,
  title={Automated quantification of body fat distribution on volumetric computed tomography.},
  author={Binsheng Zhao and J. A. C. Colville and John Kalaigian and Sean Curran and Li Jiang and Peter Klaus Kijewski and Lawrence H. Schwartz},
  journal={Journal of computer assisted tomography},
  year={2006},
  volume={30 5},
  pages={
          777-83
        }
}
OBJECTIVE To develop a computerized method to automatically quantify visceral and subcutaneous fat distribution within the abdomen and pelvis on volumetric computed tomographic (CT) images. METHODS Given the slices of interest, the algorithm automatically delineates a contour that separates the visceral fat from the subcutaneous fat on each slice. Explicitly, starting with extraction of the body perimeter, radii at a fixed angle increment are drawn from the perimeter to the center of the body… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 45 CITATIONS

Learning Algorithms for Fat Quantification and Tumor Characterization

VIEW 4 EXCERPTS
CITES METHODS & RESULTS
HIGHLY INFLUENCED

Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans

  • IEEE Transactions on Medical Imaging
  • 2017
VIEW 4 EXCERPTS
CITES METHODS & RESULTS
HIGHLY INFLUENCED

Automated segmentation of computed tomography images

  • 2009 22nd IEEE International Symposium on Computer-Based Medical Systems
  • 2009
VIEW 4 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

CoreSlicer: a web toolkit for analytic morphomics

  • BMC Medical Imaging
  • 2019
VIEW 1 EXCERPT
CITES BACKGROUND