Patient-Specific Phantomless Estimation of Bone Mineral Density and Its Effects on Finite Element Analysis Results: A Feasibility Study.

Published in: Computational and mathematical methods in medicine (2019)

The proposed phantomless HU-to-BMD conversion demonstrates the potential of precisely estimating BMD values from CT images without the reference phantom and being utilized as a viable tool for FEA-based quantitative assessment using routine CT images.

Keyphrases

bone mineral density
image quality
dual energy
postmenopausal women
finite element analysis
deep learning
computed tomography
convolutional neural network
body composition
contrast enhanced
optical coherence tomography
magnetic resonance imaging
human health
machine learning
climate change