A Combined Region- and Pixel-Based Deep Learning Approach for Quantifying Abdominal Adipose Tissue in Adolescents Using Dixon Magnetic Resonance Imaging.

Olanrewaju A Ogunleye,Harish Raviprakash, Ashlee M Simmons,Rhasaan T M Bovell,Pedro E Martinez,Jack A Yanovski,Karen F Berman,Peter J Schmidt,Elizabeth C Jones,Hadi Bagheri,Nadia M Biassou,Li-Yueh Hsu

Tomography (Ann Arbor, Mich.)（2023）

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摘要

These results show that our method not only provides excellent agreement with the reference SAT and VAT measurements, but also accurate abdominal wall region segmentation. The proposed combined region- and pixel-based CNN approach provides automated abdominal wall segmentation as well as SAT and VAT quantification with Dixon MRI and enables objective longitudinal assessment of adipose tissues in children during adolescence.

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关键词

abdominal adipose tissue,convolutional neural network,fat quantification,magnetic resonance imaging,segmentation

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