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Abstract #3773

Age Related Changes of Organs and Muscles Using a Deep Learning Based Whole Body Segmentation Technique Applied to a Healthy Adult Population

Ahmed Gouda1, Saqib Basar1, Yosef Chodakiewitz2, Rajpaul Attariwala1, Sean London2, and Sam Hashemi1
1Voxelwise Imaging Technology Inc., Vancouver, BC, Canada, 2Prenuvo, Vancouver, BC, Canada

Synopsis

Keywords: Data Analysis, Aging, Volumetric Analysis, Organs, Visceral Fat, Skeletal MusclesOne of the vital indicators of normal functioning physiology and anatomy, is the volume and size of body organs and muscles. Overtime due to aging and chronic illnesses, the volume of organs and muscles decreases, and quantifying this reduction would help us in predicting the rate of decline, and making efforts to improve this rate. Artificial intelligence 3D segmentation techniques allow us to measure the average age-related volume loss over a large population. They provide statistical norms which help radiologists to identify abnormal volume changes, and establish a normal age related rate of volumetric decline.

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