Accurate quantification of subtle wrist motion changes resulting from ligament injuries is crucial for diagnosis and prescription of the most effective interventions for preventing progression to osteoarthritis. Current imaging techniques are unable to detect injuries reliably and are static in nature, thereby capturing bone position information rather than motion which is indicative of ligament injury. A recently developed technique, 4D (three dimensions + time) computed tomography (CT) enables three-dimensional volume sequences to be obtained during wrist motion. The next step in successful clinical implementation of the tool is quantification and validation of imaging biomarkers obtained from the four-dimensional computed tomography (4DCT) image sequences. Measures of bone motion and joint proximities are obtained by: segmenting bone volumes in each frame of the dynamic sequence, registering their positions relative to a known static posture, and generating surface polygonal meshes from which minimum distance (proximity) measures can be quantified. Method accuracy was assessed during in vitro simulated wrist movement by comparing a fiducial bead-based determination of bone orientation to a bone-based approach. The reported errors for the 4DCT technique were: 0.00–0.68 deg in rotation; 0.02–0.30 mm in translation. Results are on the order of the reported accuracy of other image-based kinematic techniques.
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July 2015
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A Technique for Quantifying Wrist Motion Using Four-Dimensional Computed Tomography: Approach and Validation
Kristin Zhao,
Kristin Zhao
1
Rehabilitation Medicine Research Center,
Department of Physical Medicine and Rehabilitation,
e-mail: zhao.kristin@mayo.edu
Department of Physical Medicine and Rehabilitation,
Mayo Clinic
,200 First Street SW
,Rochester, MN 55905
e-mail: zhao.kristin@mayo.edu
1Corresponding author.
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Ryan Breighner,
Ryan Breighner
Biomechanics Laboratory,
Division of Orthopedic Research,
e-mail: Breighner.Ryan@mayo.edu
Division of Orthopedic Research,
Mayo Clinic
,200 First Street SW
,Rochester, MN 55905
e-mail: Breighner.Ryan@mayo.edu
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David Holmes, III,
David Holmes, III
Department of Physiology and Biomedical Engineering,
e-mail: Holmes.David3@mayo.edu
Mayo Clinic
,200 First Street SW
,Rochester, MN 55905
e-mail: Holmes.David3@mayo.edu
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Shuai Leng,
Shuai Leng
Department of Radiology,
e-mail: Leng.Shuai@mayo.edu
Mayo Clinic
,200 First Street SW
,Rochester, MN 55905
e-mail: Leng.Shuai@mayo.edu
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Cynthia McCollough,
Cynthia McCollough
Department of Radiology,
e-mail: mccollough.cynthia@mayo.edu
Mayo Clinic
,200 First Street SW
,Rochester, MN 55905
e-mail: mccollough.cynthia@mayo.edu
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Kai-Nan An
Kai-Nan An
Fellow ASME Biomechanics Laboratory,
Division of Orthopedic Research,
e-mail: an.kainan@mayo.edu
Division of Orthopedic Research,
Mayo Clinic
,200 First Street SW
,Rochester, MN 55905
e-mail: an.kainan@mayo.edu
Search for other works by this author on:
Kristin Zhao
Rehabilitation Medicine Research Center,
Department of Physical Medicine and Rehabilitation,
e-mail: zhao.kristin@mayo.edu
Department of Physical Medicine and Rehabilitation,
Mayo Clinic
,200 First Street SW
,Rochester, MN 55905
e-mail: zhao.kristin@mayo.edu
Ryan Breighner
Biomechanics Laboratory,
Division of Orthopedic Research,
e-mail: Breighner.Ryan@mayo.edu
Division of Orthopedic Research,
Mayo Clinic
,200 First Street SW
,Rochester, MN 55905
e-mail: Breighner.Ryan@mayo.edu
David Holmes, III
Department of Physiology and Biomedical Engineering,
e-mail: Holmes.David3@mayo.edu
Mayo Clinic
,200 First Street SW
,Rochester, MN 55905
e-mail: Holmes.David3@mayo.edu
Shuai Leng
Department of Radiology,
e-mail: Leng.Shuai@mayo.edu
Mayo Clinic
,200 First Street SW
,Rochester, MN 55905
e-mail: Leng.Shuai@mayo.edu
Cynthia McCollough
Department of Radiology,
e-mail: mccollough.cynthia@mayo.edu
Mayo Clinic
,200 First Street SW
,Rochester, MN 55905
e-mail: mccollough.cynthia@mayo.edu
Kai-Nan An
Fellow ASME Biomechanics Laboratory,
Division of Orthopedic Research,
e-mail: an.kainan@mayo.edu
Division of Orthopedic Research,
Mayo Clinic
,200 First Street SW
,Rochester, MN 55905
e-mail: an.kainan@mayo.edu
1Corresponding author.
Manuscript received September 9, 2014; final manuscript received April 12, 2015; published online June 3, 2015. Assoc. Editor: Zong-Ming Li.
J Biomech Eng. Jul 2015, 137(7): 074501 (5 pages)
Published Online: July 1, 2015
Article history
Received:
September 9, 2014
Revision Received:
April 12, 2015
Online:
June 3, 2015
Citation
Zhao, K., Breighner, R., Holmes, D., III, Leng, S., McCollough, C., and An, K. (July 1, 2015). "A Technique for Quantifying Wrist Motion Using Four-Dimensional Computed Tomography: Approach and Validation." ASME. J Biomech Eng. July 2015; 137(7): 074501. https://doi.org/10.1115/1.4030405
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