Zhang, Shuai;
Wang, Jinliang;
Wang, Xu;
Konandetails, Sujith;
Stoyanov, Danail;
Mazomenos, Evangelos B;
(2025)
3D Acetabular Surface Reconstruction from 2D Pre-operative X-Ray Images Using SRVF Elastic Registration and Deformation Graph.
In: Gee, James C and Alexander, Daniel C and Hong, Jaesung and Iglesias, Juan Eugenio and Sudre, Carole H and Venkataraman, Archana and Golland, Polina and Kim, Jong Hyo and Park, Jinah, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025.
(pp. pp. 3-12).
Springer: Cham, Switzerland.
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Abstract
Accurate and reliable selection of the appropriate acetabular cup size is crucial for restoring joint biomechanics in total hip arthroplasty (THA). This paper proposes a novel framework integrating square-root velocity function (SRVF)-based elastic shape registration technique with an embedded deformation (ED) graph approach to reconstruct the 3D articular surface of the acetabulum by fusing multiple views of 2D pre-operative pelvic X-ray images and a hemispherical surface model. The SRVF-based elastic registration establishes 2D-3D correspondences between the parametric hemispherical model and X-ray images, and the ED framework incorporates the SRVF-derived correspondences as constraints to optimize the 3D acetabular surface reconstruction using nonlinear least-squares optimization. Validations using both simulation and real patient datasets are performed to demonstrate the robustness and the potential clinical value of the proposed algorithm. The reconstruction result can assist surgeons in selecting the correct acetabular cup on the first attempt in THA, minimising the need for revision surgery. Code and data are available at: https://github.com/zsustc/3D-ASR.
| Type: | Proceedings paper |
|---|---|
| Title: | 3D Acetabular Surface Reconstruction from 2D Pre-operative X-Ray Images Using SRVF Elastic Registration and Deformation Graph |
| Event: | MICCAI 2025 |
| ISBN-13: | 978-3-032-05324-4 |
| DOI: | 10.1007/978-3-032-05325-1 |
| Publisher version: | https://doi.org/10.1007/978-3-032-05325-1 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10215948 |
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