Articulated Statistical Shape Model-Based 2D-3D Reconstruction of a Hip Joint

Balestra, Steven; Schumann, S.; Heverhagen, Johannes; Nolte, Lutz-Peter; Zheng, Guoyan (2014). Articulated Statistical Shape Model-Based 2D-3D Reconstruction of a Hip Joint. In: Stoyanov, Danail; Collins, D. Louis; Sakuma, Ichiro; Abolmaesumi, Purang; Jannin, Pierre (eds.) IPCAI 2014, LNCS 8498. Lecture Notes in Computer Science: Vol. 8498 (pp. 128-137). Cham: Springer 10.1007/978-3-319-07521-1_14

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In this paper, reconstruction of three-dimensional (3D) patient-specific models of a hip joint from two-dimensional (2D) calibrated X-ray images is addressed. Existing 2D-3D reconstruction techniques usually reconstruct a patient-specific model of a single anatomical structure without considering the relationship to its neighboring structures. Thus, when those techniques would be applied to reconstruction of patient-specific models of a hip joint, the reconstructed models may penetrate each other due to narrowness of the hip joint space and hence do not represent a true hip joint of the patient. To address this problem we propose a novel 2D-3D reconstruction framework using an articulated statistical shape model (aSSM). Different from previous work on constructing an aSSM, where the joint posture is modeled as articulation in a training set via statistical analysis, here it is modeled as a parametrized rotation of the femur around the joint center. The exact rotation of the hip joint as well as the patient-specific models of the joint structures, i.e., the proximal femur and the pelvis, are then estimated by optimally fitting the aSSM to a limited number of calibrated X-ray images. Taking models segmented from CT data as the ground truth, we conducted validation experiments on both plastic and cadaveric bones. Qualitatively, the experimental results demonstrated that the proposed 2D-3D reconstruction framework preserved the hip joint structure and no model penetration was found. Quantitatively, average reconstruction errors of 1.9 mm and 1.1 mm were found for the pelvis and the proximal femur, respectively.

Item Type:

Book Section (Book Chapter)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > DBMR Forschung Mu35 > Forschungsgruppe Radiologie
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > DBMR Forschung Mu35 > Forschungsgruppe Radiologie

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology

UniBE Contributor:

Balestra, Steven; Heverhagen, Johannes; Nolte, Lutz-Peter and Zheng, Guoyan

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health
600 Technology > 620 Engineering

ISSN:

0302-9743

ISBN:

978-3-319-07520-4

Series:

Lecture Notes in Computer Science

Publisher:

Springer

Language:

English

Submitter:

Guoyan Zheng

Date Deposited:

01 May 2015 15:43

Last Modified:

02 May 2015 06:02

Publisher DOI:

10.1007/978-3-319-07521-1_14

BORIS DOI:

10.7892/boris.67982

URI:

https://boris.unibe.ch/id/eprint/67982

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