2D-3D Reconstruction-Based Planning of Total Hip Arthroplasty

Zheng, Guoyan; Schumann, Steffen; Balestra, Steven; Thelen, Benedikt; Nolte, Lutz-Peter (2016). 2D-3D Reconstruction-Based Planning of Total Hip Arthroplasty. In: Zheng, Guoyan; Li, Shuo (eds.) Computational Radiology for Orthopaedic Interventions. Lecture Notes in Computational Vision and Biomechanics: Vol. 23 (pp. 197-215). Cham: Springer 10.1007/978-3-319-23482-3_10

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This chapter proposed a personalized X-ray reconstruction-based planning and post-operative treatment evaluation framework called iJoint for advancing modern Total Hip Arthroplasty (THA). Based on a mobile X-ray image calibration phantom and a unique 2D-3D reconstruction technique, iJoint can generate patient-specific models of hip joint by non-rigidly matching statistical shape models to the X-ray radiographs. Such a reconstruction enables a true 3D planning and treatment evaluation of hip arthroplasty from just 2D X-ray radiographs whose acquisition is part of the standard diagnostic and treatment loop. As part of the system, a 3D model-based planning environment provides surgeons with hip arthroplasty related parameters such as implant type, size, position, offset and leg length equalization. With this newly developed system, we are able to provide true 3D solutions for computer assisted planning of THA using only 2D X-ray radiographs, which is not only innovative but also cost-effective.

Item Type:

Book Section (Book Chapter)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB [discontinued]

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Zheng, Guoyan, Schumann, Steffen, Thelen, Benedikt, Nolte, Lutz-Peter

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health

ISSN:

2212-9391

ISBN:

978-3-319-23481-6

Series:

Lecture Notes in Computational Vision and Biomechanics

Publisher:

Springer

Language:

English

Submitter:

Li Liu

Date Deposited:

09 Feb 2016 10:36

Last Modified:

05 Dec 2022 14:51

Publisher DOI:

10.1007/978-3-319-23482-3_10

BORIS DOI:

10.7892/boris.75232

URI:

https://boris.unibe.ch/id/eprint/75232

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