PS-GANS: A Patient-Specific, Gravity Assisted Navigation System for Acetabular Cup Placement

Zheng, Guoyan; Echeverri, Santiago; Xie, Weiguo; Nolte, Lutz-Peter (2011). PS-GANS: A Patient-Specific, Gravity Assisted Navigation System for Acetabular Cup Placement. In: Information Processing in Computer-Assisted Interventions. Second International Conference, IPCAI 2011. Lecture notes in computer science: Vol. 6689 (pp. 101-112). Berlin: Springer 10.1007/978-3-642-21504-9_10

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In this paper we propose a new system that allows reliable acetabular cup placement when the THA is operated in lateral approach. Conceptually it combines the accuracy of computer-generated patient-specific morphology information with an easy-to-use mechanical guide, which effectively uses natural gravity as the angular reference. The former is achieved by using a statistical shape model-based 2D-3D reconstruction technique that can generate a scaled, patient-specific 3D shape model of the pelvis from a single conventional anteroposterior (AP) pelvic X-ray radiograph. The reconstructed 3D shape model facilitates a reliable and accurate co-registration of the mechanical guide with the patient’s anatomy in the operating theater. We validated the accuracy of our system by conducting experiments on placing seven cups to four pelvises with different morphologies. Taking the measurements from an image-free navigation system as the ground truth, our system showed an average accuracy of 2.1 ±0.7 o for inclination and an average accuracy of 1.2 ±1.4 o for anteversion.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

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

UniBE Contributor:

Zheng, Guoyan, Xie, Weiguo, Nolte, Lutz-Peter

Subjects:

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

ISSN:

0302-9743

ISBN:

978-3-642-21504-9

Series:

Lecture notes in computer science

Publisher:

Springer

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:16

Last Modified:

05 Dec 2022 14:04

Publisher DOI:

10.1007/978-3-642-21504-9_10

BORIS DOI:

10.7892/boris.4674

URI:

https://boris.unibe.ch/id/eprint/4674 (FactScience: 209241)

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