Title :
Femoral strength prediction using a 3D reconstruction method from Dual-energy X-ray Absorptiometry
Author :
Humbert, L. ; Whitmarsh, T. ; Fritscher, Karl ; Del Rio Barquero, L.M. ; Eckstein, F. ; Link, T. ; Schubert, Ryan ; Frangi, Alejandro F.
Author_Institution :
Bioeng., Biomater. & Nanomedicine, Networking Biomed. Res. Center, Barcelona, Spain
Abstract :
Femoral strength is estimated in clinical routine from 2D Dual-energy X-rays Absorptiometry (DXA). In this study, a new pipeline for femoral strength prediction from DXA images is presented, using a 3D reconstruction method of the shape and the Bone Mineral Density (BMD) distribution and a regression analysis based on partial least squares. A database of 90 proximal femoral cadaveric specimens, that were previously imaged and tested to measure their fracture load, was used to develop and to validate the method. The proposed pipeline resulted in a correlation coefficient of 0.85 between predicted and measured fracture load, while a regression using 2D BMD measurements from DXA resulted in a correlation coefficient of 0.77. With an improved femoral strength prediction from DXA images, this method opens interesting translational perspectives in clinics for a better diagnosis of osteoporosis and fracture risk prediction.
Keywords :
X-ray absorption; biomechanics; bone; correlation methods; fracture; image reconstruction; least squares approximations; medical image processing; regression analysis; 3D reconstruction method; BMD distribution; DXA technique; bone mineral density; correlation coefficient; dual energy X-ray absorptiometry; femoral strength prediction; fracture load; fracture risk prediction; osteoporosis; partial least squares; regression analysis; Bones; Minerals; Pipelines; Shape; Solid modeling; Three dimensional displays; Vectors; 3D Reconstruction; Femoral strength; Osteoporosis; Partial Least Square Regression; Statistical Model;
Conference_Titel :
Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4577-1857-1
DOI :
10.1109/ISBI.2012.6235844