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      2D-3D reconstruction of the proximal femur from DXA scans: Evaluation of the 3D-Shaper software

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          Abstract

          Introduction: Osteoporosis is currently diagnosed based on areal bone mineral density (aBMD) computed from 2D DXA scans. However, aBMD is a limited surrogate for femoral strength since it does not account for 3D bone geometry and density distribution. QCT scans combined with finite element (FE) analysis can deliver improved femoral strength predictions. However, non-negligible radiation dose and high costs prevent a systematic usage of this technique for screening purposes. As an alternative, the 3D-Shaper software (3D-Shaper Medical, Spain) reconstructs the 3D shape and density distribution of the femur from 2D DXA scans. This approach could deliver a more accurate estimation of femoral strength than aBMD by using FE analysis on the reconstructed 3D DXA.

          Methods: Here we present the first independent evaluation of the software, using a dataset of 77 ex vivo femora. We extend a prior evaluation by including the density distribution differences, the spatial correlation of density values and an FE analysis. Yet, cortical thickness is left out of this evaluation, since the cortex is not resolved in our FE models.

          Results: We found an average surface distance of 1.16 mm between 3D DXA and QCT images, which shows a good reconstruction of the bone geometry. Although BMD values obtained from 3D DXA and QCT correlated well ( r 2 = 0.92), the 3D DXA BMD were systematically lower. The average BMD difference amounted to 64 mg/cm 3, more than one-third of the 3D DXA BMD. Furthermore, the low correlation ( r 2 = 0.48) between density values of both images indicates a limited reconstruction of the 3D density distribution. FE results were in good agreement between QCT and 3D DXA images, with a high coefficient of determination ( r 2 = 0.88). However, this correlation was not statistically different from a direct prediction by aBMD. Moreover, we found differences in the fracture patterns between the two image types. QCT-based FE analysis resulted mostly in femoral neck fractures and 3D DXA-based FE in subcapital or pertrochanteric fractures.

          Discussion: In conclusion, 3D-Shaper generates an altered BMD distribution compared to QCT but, after careful density calibration, shows an interesting potential for deriving a standardized femoral strength from a DXA scan.

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          Most cited references52

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          U-Net: Convolutional Networks for Biomedical Image Segmentation

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            A Concordance Correlation Coefficient to Evaluate Reproducibility

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              elastix: a toolbox for intensity-based medical image registration.

              Medical image registration is an important task in medical image processing. It refers to the process of aligning data sets, possibly from different modalities (e.g., magnetic resonance and computed tomography), different time points (e.g., follow-up scans), and/or different subjects (in case of population studies). A large number of methods for image registration are described in the literature. Unfortunately, there is not one method that works for all applications. We have therefore developed elastix, a publicly available computer program for intensity-based medical image registration. The software consists of a collection of algorithms that are commonly used to solve medical image registration problems. The modular design of elastix allows the user to quickly configure, test, and compare different registration methods for a specific application. The command-line interface enables automated processing of large numbers of data sets, by means of scripting. The usage of elastix for comparing different registration methods is illustrated with three example experiments, in which individual components of the registration method are varied.
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                Author and article information

                Contributors
                Journal
                Front Bioeng Biotechnol
                Front Bioeng Biotechnol
                Front. Bioeng. Biotechnol.
                Frontiers in Bioengineering and Biotechnology
                Frontiers Media S.A.
                2296-4185
                01 March 2023
                2023
                : 11
                : 1111020
                Affiliations
                [1] 1 ARTORG Center for Biomedical Engineering Research , University of Bern , Bern, Switzerland
                [2] 2 Division of Anatomy , Gottfried Schatz Research Center , Medical University of Graz , Graz, Austria
                [3] 3 Division of Anatomy , Center for Anatomy and Cell Biology , Medical University of Vienna , Vienna, Austria
                [4] 4 Division of Bone Diseases , Geneva University Hospitals (HUG) , Geneva, Switzerland
                [5] 5 Department of Osteoporosis , Inselspital , Bern University Hospital , University of Bern , Bern, Switzerland
                Author notes

                Edited by: Peter Pivonka, Queensland University of Technology, Australia

                Reviewed by: Javier Martinez-Reina, Sevilla University, Spain

                Saulo Martelli, Queensland University of Technology, Australia

                *Correspondence: Alice Dudle, alice.dudle@ 123456unibe.ch ; Yvan Gugler, yvan.gugler@ 123456unibe.ch
                [ † ]

                These authors have contributed equally to this work and share first authorship

                This article was submitted to Biomechanics, a section of the journal Frontiers in Bioengineering and Biotechnology

                Article
                1111020
                10.3389/fbioe.2023.1111020
                10014626
                36937766
                389394da-2d7e-4e42-b8d2-f3a44dd77c22
                Copyright © 2023 Dudle, Gugler, Pretterklieber, Ferrari, Lippuner and Zysset.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 29 November 2022
                : 15 February 2023
                Funding
                Funded by: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung , doi 10.13039/501100001711;
                Award ID: 183584
                This project was made possible through a Sinergia Grant from the Swiss National Science Foundation (grant number 183584).
                Categories
                Bioengineering and Biotechnology
                Original Research

                3d-shaper,dxa,qct,fe,bone strength,femur,bmd,2d-3d reconstruction
                3d-shaper, dxa, qct, fe, bone strength, femur, bmd, 2d-3d reconstruction

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