Reconstruction of patient-specific 3D bone surface from 2D calibrated fluoroscopic images and point distribution model

Zheng, Guoyan; G. Ballester, Miguel Á.; Styner, Martin; Nolte, Lutz-Peter (2006). Reconstruction of patient-specific 3D bone surface from 2D calibrated fluoroscopic images and point distribution model. In: Larsen, Rasmus; Nielsen, Mads; Sporring, Jon (eds.) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. Lecture Notes in Computer Science: Vol. 9 (pp. 25-32). Berlin: Springer 10.1007/11866565_4

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Reconstruction of patient-specific 3D bone surface from 2D calibrated fluoroscopic images and a point distribution model is discussed. We present a 2D/3D reconstruction scheme combining statistical extrapolation and regularized shape deformation with an iterative image-to-model correspondence establishing algorithm, and show its application to reconstruct the surface of proximal femur. The image-to-model correspondence is established using a non-rigid 2D point matching process, which iteratively uses a symmetric injective nearest-neighbor mapping operator and 2D thin-plate splines based deformation to find a fraction of best matched 2D point pairs between features detected from the fluoroscopic images and those extracted from the 3D model. The obtained 2D point pairs are then used to set up a set of 3D point pairs such that we turn a 2D/3D reconstruction problem to a 3D/3D one. We designed and conducted experiments on 11 cadaveric femurs to validate the present reconstruction scheme. An average mean reconstruction error of 1.2 mm was found when two fluoroscopic images were used for each bone. It decreased to 1.0 mm when three fluoroscopic images were used.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

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

UniBE Contributor:

Zheng, Guoyan; Gonzalez Ballester, Miguel Angel; Styner, Martin Andreas and Nolte, Lutz-Peter

Subjects:

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

ISSN:

0302-9743

ISBN:

978-3-540-44708-5

Series:

Lecture Notes in Computer Science

Publisher:

Springer

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:49

Last Modified:

08 Jun 2016 10:40

Publisher DOI:

10.1007/11866565_4

PubMed ID:

17354870

Web of Science ID:

000241556300004

BORIS DOI:

10.7892/boris.20492

URI:

https://boris.unibe.ch/id/eprint/20492 (FactScience: 3964)

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