ArticleBioMed research international2022
Computed Tomography Image Analysis of Body Fat Based on Multi-Image Information.
Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- HDL-C and visceral adipose tissue as combined predictors of visceral fat changes following laparoscopic sleeve gastrectomy.BMC surgery · 2025Trial
- The association between the cardiac metabolic index and rapid kidney function decline and CKD in individuals with different glucose metabolism statuses: results from the China health and retirement longitudinal study.Lipids in health and disease · 2025Article
- Association between cardiometabolic index and albuminuria: Evidence from NHANES 2017-2020.PloS one · 2025Article
- Visceral fat and attribute-based medicine in chronic kidney disease.Frontiers in endocrinology · 2023Review
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Body fat assessment is required as part of an objective health assessment, both for nonobese and obese people. Image-based body fat assessment will enable faster diagnosis. Body fat analysis that accounts for age and sex will help in both diagnosis and correlating diseases and fat distribution. After evaluating computed tomography imaging algorithms to identify and segment human abdominal and subcutaneous fat, we present an improved region growing scale-invariant feature transform algorithm. It applies Naive Bayes image thresholding for key point selection and image matching. This method enables rapid and accurate comparison and matching of images from multiple databases and improves the efficiency of image processing.
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