Inferring 3D finger bone shapes from 2D images – a detailed analysis of shape accuracy-Reference-Cited by-同舟云学术

Inferring 3D finger bone shapes from 2D images – a detailed analysis of shape accuracy

Published:2024-06-13 Issue:1 Volume:12 Page:
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Rörich Anna¹,Lange Annkristin¹,Heldmann Stefan¹,Moltz Jan H.¹,Walczak Lars¹²,Yarar-Schlickewei Sinef³,Güttler Felix⁴,Georgii Joachim¹

Affiliation:

1. Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany

2. Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany

3. Department of Trauma, Hand and Reconstructive Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

4. Institute of Diagnostic and Interventional Radiology, Friedrich Schiller University Jena, Jena, Germany

Funder

Fraunhofer Internal Programs

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2024.2359397

Reference21 articles.

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2. 2D–3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models

3. Cresson T, Branchaud D, Chav R, Godbout B, de Guise J. 2010. 3d shape reconstruction of bone from two x-ray images using 2d/3d nonrigid registration based on moving least-squares deformation. Progress in Biomedical Optics and Imaging - Proceedings of SPIE; San Diego, California, United States; Vol. 7623. p. 03.

4. D’Errico J. fminsearchbnd, fminsearchcon. MATLAB Central File Exchange. [accessed 23 Feb 2022]. https://www.mathworks.com/matlabcentral/fileexchange/8277-fminsearchbnd-fminsearchcon.

5. 3D reconstruction of the human rib cage from 2D projection images using a statistical shape model