Trabecular bone class mapping across resolutions: translating methods from HR-pQCT to clinical CT

Alexander Valentinitsch; Lukas Fischer; Janina M. Patsch; Jan Bauer; Franz Kainberger; Georg Langs; Matthew DiFranco

doi:10.1117/12.2081187

20 March 2015 Trabecular bone class mapping across resolutions: translating methods from HR-pQCT to clinical CT

Alexander Valentinitsch, Lukas Fischer, Janina M. Patsch, Jan Bauer, Franz Kainberger, Georg Langs, Matthew DiFranco

Proceedings Volume 9413, Medical Imaging 2015: Image Processing; 94131D (2015) https://doi.org/10.1117/12.2081187
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

Quantitative assessment of 3D bone microarchitecture in high-resolution peripheral quantitative computed tomography (HR-pQCT) has shown promise in fracture risk assessment and biomechanics, but is limited to the distal radius and tibia. Trabecular microarchitecture classes (TMACs), based on voxel-wise clustering texture and structure tensor features in HRpQCT, is extended in this paper to quantify trabecular bone classes in clinical multi-detector CT (MDCT) images. Our comparison of TMACs in 12 cadaver radii imaged using both HRpQCT and MDCT yields a mean Dice score of up to 0.717±0.40 and visually concordant bone quality maps. Further work to develop clinically viable bone quantitative imaging using HR-pQCT validation could have a significant impact on overall bone health assessment.

Citation Download Citation

Alexander Valentinitsch, Lukas Fischer, Janina M. Patsch, Jan Bauer, Franz Kainberger, Georg Langs, and Matthew DiFranco "Trabecular bone class mapping across resolutions: translating methods from HR-pQCT to clinical CT", Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94131D (20 March 2015); https://doi.org/10.1117/12.2081187

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