The influence of smoothing techniques on the accuracy of the reference finite helical axis when applied to 2D-3D registrations-Reference-Cited by-同舟云学术

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The influence of smoothing techniques on the accuracy of the reference finite helical axis when applied to 2D-3D registrations

Published:2023-03-14 Issue:7 Volume:61 Page:1783-1793
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Bugajski Tomasz^ORCID,Küpper Jessica,Bufe Nikolas,Radpour Mohammad,Kecskemethy Andres,Ronsky Janet

Funder

Natural Sciences and Engineering Research Council of Canada

Canadian Institutes of Health Research

Alberta Innovates - Technology Futures

T. Chen Fong Doctoral

I.W. Killam Doctoral

Dean's Doctoral Scholarship

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11517-023-02813-2.pdf

Reference29 articles.

1. Sharma GB, Kuntze G, Kukulski D, Ronsky JL (2015) Validating dual fluoroscopy system capabilities for determining in-vivo knee joint soft tissue deformation: A strategy for registration error management. J Biomech 48:2181–2185. https://doi.org/10.1016/j.jbiomech.2015.04.045

2. Postolka B, Schütz P, Fucentese SF et al (2020) Tibio-femoral kinematics of the healthy knee joint throughout complete cycles of gait activities. J Biomech 110:109915. https://doi.org/10.1016/j.jbiomech.2020.109915

3. Zöllei L, Grimson E, Norbash A, Wells W (2001) 2D–3D rigid registration of X-ray fluoroscopy and CT images using mutual information and sparsely sampled histogram estimators. Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit 2:696–703. https://doi.org/10.1109/cvpr.2001.991032

4. Yao J, Taylor R (2003) Assessing accuracy factors in deformable 2D/3D medical image registration using a statistical pelvis model. Proc IEEE Int Conf Comput Vis 2:1329–1334. https://doi.org/10.1109/iccv.2003.1238644

5. Postolka B, List R, Thelen B et al (2020) Evaluation of an intensity-based algorithm for 2D/3D registration of natural knee videofluoroscopy data. Med Eng Phys 77:107–113. https://doi.org/10.1016/j.medengphy.2020.01.002

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