2010
DOI: 10.1002/jbmr.140
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Volumetric DXA (VXA): A new method to extract 3D information from multiple in vivo DXA images

Abstract: Three-dimensional geometric and structural measurements of the proximal femur are of considerable interest in understanding the strength of the femur and its susceptibility to fracture. Quantitative computed tomography (QCT) with a small voxel size ( 1 mm per side) is the current ''gold standard'' to examine the macrostructure of the femur, but it has a high effective radiation dose (approximately 2 to 5 mSv) and cost. Volumetric dual-energy X-ray absorptiometry (VXA) uses a commercially available DXA system (… Show more

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Cited by 54 publications
(20 citation statements)
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“…This was achieved by using the results of a three-dimensional reconstruction of the hip using four DXA images. By using an iterative technique, the 3D DXA image was co-registered to the 3D QCT image [12]. This allowed selection of a QCT plane that closely replicated the routine DXA plane.…”
Section: Discussionmentioning
confidence: 99%
“…This was achieved by using the results of a three-dimensional reconstruction of the hip using four DXA images. By using an iterative technique, the 3D DXA image was co-registered to the 3D QCT image [12]. This allowed selection of a QCT plane that closely replicated the routine DXA plane.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, BMD at different femoral sites show similar associations with fracture risk, further justifying the restriction to one site in the present work [40]. Only areal measurements of bone mineral density were available for the present study, and future studies should preferably employ volumetric assessments less prone to distortions by bone volume and body size [1]. Other limitations are the crosssectional design and the assessment of calcium intake by 24-h recall, though the reliability of the data source used has been demonstrated time and again [2].…”
Section: Limitationsmentioning
confidence: 99%
“…The reported techniques for 2D-3D registration can be split into two main categories [1]: feature-based methods [3] and intensity-based methods [2,4,5]. The methods belonging to the former category typically require an implicit or explicit image segmentation which is error-prone and hard to achieve automatically.…”
Section: Introductionmentioning
confidence: 99%
“…While intensity-based rigid 2D-3D registration is regarded as a solved problem [1], intensity-based non-rigid registration is still an active research field [2,4,5].Most of these solutions require construction of shape-intensity statistical models.…”
Section: Introductionmentioning
confidence: 99%
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