3D-DXA: Assessing the Femoral Shape, the Trabecular Macrostructure and the Cortex in 3D from DXA images

• Published in: IEEE transactions on medical imaging Vol. 36; no. 1; pp. 27 - 39
• Main Authors: Humbert, Ludovic, Martelli, Yves, Fonolla, Roger, Steghofer, Martin, Di Gregorio, Silvana, Malouf, Jorge, Romera, Jordi, Barquero, Luis Miguel Del Rio
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Absorptiometry, Photon; Algorithms; Biomedical materials; Bone Density; Bone mass; Bone mineral density; Bones; Brain modeling; Cancellous bone; Compartments; Computational modeling; Computed tomography; Correlation coefficients; Cortical bone; cortical thickness; Critical components; Density distribution; Dual energy X-ray absorptiometry; DXA; Femur; Fracture toughness; Geographical variations; Hip joint; Humans; image registration; Imaging, Three-Dimensional; Macrostructure; Mathematical models; Osteoporosis; proximal femur; Shape; Solid modeling; Thickness measurement; Three-dimensional displays; Tomography, X-Ray Computed; Two dimensional models
• ISSN: 0278-0062; 1558-254X; 1558-254X
• DOI: 10.1109/TMI.2016.2593346

The 3D distribution of the cortical and trabecular bone mass in the proximal femur is a critical component in determining fracture resistance that is not taken into account in clinical routine Dual-energy X-ray Absorptiometry (DXA) examination. In this paper, a statistical shape and appearance model together with a 3D-2D registration approach are used to model the femoral shape and bone density distribution in 3D from an anteroposterior DXA projection. A model-based algorithm is subsequently used to segment the cortex and build a 3D map of the cortical thickness and density. Measurements characterising the geometry and density distribution were computed for various regions of interest in both cortical and trabecular compartments. Models and measurements provided by the "3D-DXA" software algorithm were evaluated using a database of 157 study subjects, by comparing 3D-DXA analyses (using DXA scanners from three manufacturers) with measurements performed by Quantitative Computed Tomography (QCT). The mean point-to-surface distance between 3D-DXA and QCT femoral shapes was 0.93 mm. The mean absolute error between cortical thickness and density estimates measured by 3D-DXA and QCT was 0.33 mm and 72 mg/cm 3 . Correlation coefficients (R) between the 3D-DXA and QCT measurements were 0.86, 0.93, and 0.95 for the volumetric bone mineral density at the trabecular, cortical, and integral compartments respectively, and 0.91 for the mean cortical thickness. 3D-DXA provides a detailed analysis of the proximal femur, including a separate assessment of the cortical layer and trabecular macrostructure, which could potentially improve osteoporosis management while maintaining DXA as the standard routine modality.