Low-dose and sparse sampling MDCT-based femoral bone strength prediction using finite element analysis

Nithin Manohar Rayudu

2020

This study aims to evaluate the impact of dose reduction through tube current and sparse sampling on multi-detector computed tomography -based femoral bone strength prediction using finite element analysis

Highlights

• This study aims to evaluate the impact of dose reduction through tube current and sparse sampling on multi-detector computed tomography-based femoral bone strength prediction using finite element analysis
• Routine MDCT data covering the proximal femur of 21 subjects without any bone diseases aside from osteoporosis were included in this study
• Fifty percent and 75% dose reductions were achieved by virtually reducing tube current and by applying a sparse sampling strategy from the raw image data
• FE analysis was performed on all reconstructed images and the failure load was calculated
• The root mean square coefficient of variation and coefficient of correlation were calculated to determine the variation in the FE-predicted failure load data for dose reductions, using original-dose MDCT scan as the standard of reference
• Our simulations indicate that up to 50% reduction in radiation dose through sparse sampling can be used for FE-based prediction of femoral failure load
• Sparse-sampled multi-detector computed tomography may allow fracture risk prediction and treatment monitoring in osteoporosis with less radiation exposure in the future