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KMID : 1151820190130030489
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Journal of the Korean Society of Radiology
2019 Volume.13 No. 3 p.489 ~ p.493
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Body Fat Segmentation of Abdominal CT Image
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Choi Seok-Yoon
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Abstract
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Obesity is increasing in our country due to lack of lifestyle and physical activity. Semi-automatic program is used in existing fat calculation program using computed tomography. Although methods for solving related problems have been proposed, this study proposes an algorithm using morphology operation and We want to solve the problem with a new method that has a simple procedure and a relatively small amount of computation. As a result of repetition of erosion and expansion Automatic fat mass calculation can be done in the future by using the developed partitioning result. By providing an accurate segmentation tool, it will be helpful to doctors and reduce the expense and inspection cost of retesting. through morphology operation, it was found that the problem was solved from the image.Automatic fat mass calculation can be done in the future by using the developed partitioning result. By providing an accurate segmentation tool, it will be helpful to doctors and reduce the expense and inspection cost of retesting.
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KEYWORD
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body fat, CT, morphology, subcutaneous fat
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FullTexts / Linksout information
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Listed journal information
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