3D reconstruction of a patient-specific surface model of the proximal femur from calibrated x-ray radiographs: A validation study
Abstract
Twenty-three femurs (one plastic bone and twenty-two cadaver bones) with both nonpathologic and pathologic cases were considered to validate a statistical shape model based technique for three-dimensional (3D) reconstruction of a patient-specific surface model from calibrated x-ray radiographs. The 3D reconstruction technique is based on an iterative nonrigid registration of the features extracted from a statistically instantiated 3D surface model to those interactively identified from the radiographs. The surface models reconstructed from the radiographs were compared to the associated ground truths derived either from a 3D CT-scan reconstruction method or from a 3D laser-scan reconstruction method and an average error distance of 0.95 mm were found. Compared to the existing works, our approach has the advantage of seamlessly handling both nonpathologic and pathologic cases even when the statistical shape model that we used was constructed from surface models of nonpathologic bones.
- Authors:
-
- ARTORG Center for Biomedical Engineering Research, University of Bern, Stauffacherstrasse 78, H-3014 Bern (Switzerland)
- Publication Date:
- OSTI Identifier:
- 22095317
- Resource Type:
- Journal Article
- Journal Name:
- Medical Physics
- Additional Journal Information:
- Journal Volume: 36; Journal Issue: 4; Other Information: (c) 2009 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-2405
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 62 RADIOLOGY AND NUCLEAR MEDICINE; CAT SCANNING; FEMUR; GROUND TRUTH MEASUREMENTS; IMAGE PROCESSING; IMAGES; ITERATIVE METHODS; PATIENTS; STATISTICAL MODELS; SURFACES; THREE-DIMENSIONAL CALCULATIONS; VALIDATION; X RADIATION
Citation Formats
Guoyan, Zheng, and Schumann, Steffen. 3D reconstruction of a patient-specific surface model of the proximal femur from calibrated x-ray radiographs: A validation study. United States: N. p., 2009.
Web. doi:10.1118/1.3089423.
Guoyan, Zheng, & Schumann, Steffen. 3D reconstruction of a patient-specific surface model of the proximal femur from calibrated x-ray radiographs: A validation study. United States. https://doi.org/10.1118/1.3089423
Guoyan, Zheng, and Schumann, Steffen. 2009.
"3D reconstruction of a patient-specific surface model of the proximal femur from calibrated x-ray radiographs: A validation study". United States. https://doi.org/10.1118/1.3089423.
@article{osti_22095317,
title = {3D reconstruction of a patient-specific surface model of the proximal femur from calibrated x-ray radiographs: A validation study},
author = {Guoyan, Zheng and Schumann, Steffen},
abstractNote = {Twenty-three femurs (one plastic bone and twenty-two cadaver bones) with both nonpathologic and pathologic cases were considered to validate a statistical shape model based technique for three-dimensional (3D) reconstruction of a patient-specific surface model from calibrated x-ray radiographs. The 3D reconstruction technique is based on an iterative nonrigid registration of the features extracted from a statistically instantiated 3D surface model to those interactively identified from the radiographs. The surface models reconstructed from the radiographs were compared to the associated ground truths derived either from a 3D CT-scan reconstruction method or from a 3D laser-scan reconstruction method and an average error distance of 0.95 mm were found. Compared to the existing works, our approach has the advantage of seamlessly handling both nonpathologic and pathologic cases even when the statistical shape model that we used was constructed from surface models of nonpathologic bones.},
doi = {10.1118/1.3089423},
url = {https://www.osti.gov/biblio/22095317},
journal = {Medical Physics},
issn = {0094-2405},
number = 4,
volume = 36,
place = {United States},
year = {Wed Apr 15 00:00:00 EDT 2009},
month = {Wed Apr 15 00:00:00 EDT 2009}
}