Literature DB >> 20384265

A volumetric model-based 2D to 3D registration method for measuring kinematics of natural knees with single-plane fluoroscopy.

Tsung-Yuan Tsai1, Tung-Wu Lu, Chung-Ming Chen, Mei-Ying Kuo, Horng-Chaung Hsu.   

Abstract

PURPOSE: Accurate measurement of the three-dimensional (3D) rigid body and surface kinematics of the natural human knee is essential for many clinical applications. Existing techniques are limited either in their accuracy or lack more realistic experimental evaluation of the measurement errors. The purposes of the study were to develop a volumetric model-based 2D to 3D registration method, called the weighted edge-matching score (WEMS) method, for measuring natural knee kinematics with single-plane fluoroscopy to determine experimentally the measurement errors and to compare its performance with that of pattern intensity (PI) and gradient difference (GD) methods.
METHODS: The WEMS method gives higher priority to matching of longer edges of the digitally reconstructed radiograph and fluoroscopic images. The measurement errors of the methods were evaluated based on a human cadaveric knee at 11 flexion positions.
RESULTS: The accuracy of the WEMS method was determined experimentally to be less than 0.77 mm for the in-plane translations, 3.06 mm for out-of-plane translation, and 1.13 degrees for all rotations, which is better than that of the PI and GD methods.
CONCLUSIONS: A new volumetric model-based 2D to 3D registration method has been developed for measuring 3D in vivo kinematics of natural knee joints with single-plane fluoroscopy. With the equipment used in the current study, the accuracy of the WEMS method is considered acceptable for the measurement of the 3D kinematics of the natural knee in clinical applications.

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Year:  2010        PMID: 20384265     DOI: 10.1118/1.3301596

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  14 in total

1.  Evaluation of automated statistical shape model based knee kinematics from biplane fluoroscopy.

Authors:  Nora Baka; Bart L Kaptein; J Erik Giphart; Marius Staring; Marleen de Bruijne; Boudewijn P F Lelieveldt; Edward Valstar
Journal:  J Biomech       Date:  2013-10-09       Impact factor: 2.712

2.  Prediction of in vivo knee joint kinematics using a combined dual fluoroscopy imaging and statistical shape modeling technique.

Authors:  Jing-Sheng Li; Tsung-Yuan Tsai; Shaobai Wang; Pingyue Li; Young-Min Kwon; Andrew Freiberg; Harry E Rubash; Guoan Li
Journal:  J Biomech Eng       Date:  2014-12       Impact factor: 2.097

3.  In vitro quantification of the performance of model-based mono-planar and bi-planar fluoroscopy for 3D joint kinematics estimation.

Authors:  Luca Tersi; Arnaud Barré; Silvia Fantozzi; Rita Stagni
Journal:  Med Biol Eng Comput       Date:  2012-11-11       Impact factor: 2.602

4.  A method for measuring three-dimensional mandibular kinematics in vivo using single-plane fluoroscopy.

Authors:  C-C Chen; C-C Lin; Y-J Chen; S-W Hong; T-W Lu
Journal:  Dentomaxillofac Radiol       Date:  2012-07-27       Impact factor: 2.419

5.  Predicting 3D pose in partially overlapped X-ray images of knee prostheses using model-based Roentgen stereophotogrammetric analysis (RSA).

Authors:  Chi-Pin Hsu; Shang-Chih Lin; Kao-Shang Shih; Chang-Hung Huang; Chian-Her Lee
Journal:  Med Biol Eng Comput       Date:  2014-10-08       Impact factor: 2.602

Review 6.  Functional knee assessment with advanced imaging.

Authors:  Keiko Amano; Qi Li; C Benjamin Ma
Journal:  Curr Rev Musculoskelet Med       Date:  2016-06

7.  Gaussian mixture models based 2D-3D registration of bone shapes for orthopedic surgery planning.

Authors:  Marta Valenti; Giancarlo Ferrigno; Dario Martina; Weimin Yu; Guoyan Zheng; Mohsen Akbari Shandiz; Carolyn Anglin; Elena De Momi
Journal:  Med Biol Eng Comput       Date:  2016-03-23       Impact factor: 2.602

8.  Marker-free motion correction in weight-bearing cone-beam CT of the knee joint.

Authors:  M Berger; K Müller; A Aichert; M Unberath; J Thies; J-H Choi; R Fahrig; A Maier
Journal:  Med Phys       Date:  2016-03       Impact factor: 4.071

9.  An automatic 2D-3D image matching method for reproducing spatial knee joint positions using single or dual fluoroscopic images.

Authors:  Zhonglin Zhu; Guoan Li
Journal:  Comput Methods Biomech Biomed Engin       Date:  2011-08-01       Impact factor: 1.763

10.  In vivo three-dimensional mandibular kinematics and functional point trajectories during temporomandibular activities using 3d fluoroscopy.

Authors:  Chien-Chih Chen; Cheng-Chung Lin; Hong-Po Hsieh; Yang-Chieh Fu; Yunn-Jy Chen; Tung-Wu Lu
Journal:  Dentomaxillofac Radiol       Date:  2020-08-12       Impact factor: 2.419

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