Simulating Dual-Energy X-Ray Absorptiometry in CT Using Deep-Learning Segmentation Cascade.

Arun Krishnaraj¹, Spencer Barrett², Orna Bregman-Amitai³, Michael Cohen-Sfady³, Amir Bar³, David Chettrit³, Mila Orlovsky³, Eldad Elnekave³

¹Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia. Electronic address: arunk@virginia.edu.

²Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia.

³Zebra Medical Vision, Shfayim, Israel.

PubMed DOI

Abstract

PURPOSE: Osteoporosis is an underdiagnosed condition despite effective screening modalities. Dual-energy x-ray absorptiometry (DEXA) screening, although recommended in clinical guidelines, remains markedly underutilized. In contrast to DEXA, CT utilization is high and presents a valuable data source for opportunistic osteoporosis screening. The purpose of this study was to describe a method to sim…

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