Paper Info
Title
Trabecular bone class mapping across resolutions: translating methods from HR-pQCT to clinical CT
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 1 2 cadaver radii imaged using both HRpQCT and MDCT yields a mean Dice score of up to 0 : 7 1 7 +/- 0 : 0 4 0 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.
Year
DOI
Venue
2015
10.1117/12.2081187
Proceedings of SPIE
Keywords
Field
DocType
osteoporosis,high-resolution peripheral quantitative CT (HR-pQCT),multi-detector CT (MDCT),3D-texture analysis,unsupervised clustering,trabecular microarchitecture classe (TMAC),bone microarchitecture
Quantitative computed tomography,Nuclear medicine,Computer vision,Cadaver,Tibia,Quantitative imaging,Artificial intelligence,Bone health,Quantitative assessment,Biomechanics,Osteoporosis,Physics
Conference
Volume
ISSN
Citations 
9413
0277-786X
0
PageRank 
References 
Authors
0.34
7
7
Name
Order
Citations
PageRank
Alexander Valentinitsch193.28
lukas fischer201.01
janina m patsch300.34
Jan S. Bauer4156.53
Franz Kainberger5335.97
Georg Langs664857.73
Matthew D. DiFranco7222.36