3D reconstruction of both shape and Bone Mineral Density distribution of the femur from DXA images

L. Humbert, T. Whitmarsh, M. D. Craene, L. D. R. Barquero, K. Fritscher, R. Schubert, F. Eckstein, T. Link, Alejandro F Frangi
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引用次数: 21

Abstract

The diagnosis of osteoporosis and the prevention of femur fractures is a major challenge for our society. However, the diagnosis performed in clinical routine from Dual Energy X-ray Absorptiometry (DXA) images is limited. This paper proposes a 3D reconstruction method of both the shape and the Bone Mineral Density (BMD) distribution of the proximal femur from routinely used DXA images. The reconstruction accuracy that can be obtained from single-view and multi-view DXA devices was assessed. This evaluation, from 20 bone specimens and simulated DXA images, highlighted a mean shape accuracy of 1.3mm and a BMD accuracy of 4.4% from a single-view DXA image. A multi-view configuration with 2 views (frontal-sagittal) appeared as a good compromise (mean shape accuracy of 0.9mm and BMD accuracy of 3.2%). We are currently using this method for in vivo clinical studies in order to improve the diagnosis of osteoporosis and the prevention of femur fractures.
DXA图像对股骨形状和骨密度分布的三维重建
骨质疏松症的诊断和股骨骨折的预防是我们社会面临的主要挑战。然而,临床常规双能x线吸收仪(DXA)图像的诊断是有限的。本文提出了一种基于常规DXA图像的股骨近端形状和骨密度(BMD)分布的三维重建方法。评估了单视图和多视图DXA设备可以获得的重建精度。该评估来自20个骨标本和模拟DXA图像,突出显示单视图DXA图像的平均形状精度为1.3mm, BMD精度为4.4%。2个视图(额矢状面)的多视图配置似乎是一个很好的折衷(平均形状精度为0.9mm, BMD精度为3.2%)。我们目前正在使用这种方法进行体内临床研究,以提高骨质疏松症的诊断和股骨骨折的预防。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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