Deep learning‐based harmonization of trabecular bone microstructures between high‐ and low‐resolution CT imaging

Background Osteoporosis is a bone disease related to increased bone loss and fracture‐risk. The variability in bone strength is partially explained by bone mineral density (BMD), and the remainder is contributed by bone microstructure. Recently, clinical CT has emerged as a viable option for in vivo...

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Veröffentlicht in:	Medical physics (Lancaster) 2024-06, Vol.51 (6), p.4258-4270
Hauptverfasser:	Guha, Indranil, Nadeem, Syed Ahmed, Zhang, Xiaoliu, DiCamillo, Paul A., Levy, Steven M., Wang, Ge, Saha, Punam K.
Format:	Artikel
Sprache:	eng
Schlagworte:	3DGAN‐CIRCLE Cancellous Bone - diagnostic imaging CT imaging Deep Learning harmonization high‐resolution reconstruction Humans Image Processing, Computer-Assisted - methods microstructure osteoporosis Tomography, X-Ray Computed trabecular bone
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