Precise estimation of postoperative cup alignment from single standard X-ray radiograph with gonadal shielding

Zheng, Guoyan; Steppacher, Simon; Zhang, Xuan; Tannast, Moritz (2007). Precise estimation of postoperative cup alignment from single standard X-ray radiograph with gonadal shielding. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007. Lecture notes in computer science: Vol. 10 (pp. 951-959). Berlin: Springer 10.1007/978-3-540-75759-7_115

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This paper addresses the problem of estimating postoperative cup alignment from single standard X-ray radiograph with gonadal shielding. The widely used procedure of evaluation of cup orientation following total hip arthroplasty using single standard anteroposterior radiograph is known inaccurate, largely due to the wide variability in individual pelvic position relative to X-ray plate. 2D-3D image registration methods have been introduced to estimate the rigid transformation between a preoperative CT volume and postoperative radiograph(s) for an accurate estimation of the postoperative cup alignment relative to an anatomical reference extracted from the CT data. However, these methods require either multiple radiographs or a radiograph-specific calibration, both of which are not avaiable for most retrospective studies. Furthermore, these methods were only evaluated on X-ray radiograph(s) without gonadal shielding. In this paper, we propose to use a hybrid 2D-3D registration scheme combining an iterative landmark-to-ray registration with a 2D-3D intensity-based registration to estimate the rigid transfromation for a precise estimation of cup alignment. Quantitative and qualitative results evaluated on clinical and cadaveric datasets are given which indicate the validity of our approach.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB [discontinued]
04 Faculty of Medicine > Department of Orthopaedic, Plastic and Hand Surgery (DOPH) > Clinic of Orthopaedic Surgery

UniBE Contributor:

Zheng, Guoyan, Steppacher, Simon Damian, Zhang, Xuan, Tannast, Moritz

ISSN:

0302-9743

ISBN:

978-3-540-75759-7

Series:

Lecture notes in computer science

Publisher:

Springer

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:57

Last Modified:

05 Dec 2022 14:17

Publisher DOI:

10.1007/978-3-540-75759-7_115

PubMed ID:

18044660

Web of Science ID:

000250917700115

BORIS DOI:

10.7892/boris.24443

URI:

https://boris.unibe.ch/id/eprint/24443 (FactScience: 50700)

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