We report an image segmentation and registration method for studying joint morphology and kinematics from in vivo magnetic resonance imaging (MRI) scans and its application to the analysis of foot and ankle joint motion. Using an MRI-compatible positioning device, a foot was scanned in a single neutral and seven other positions ranging from maximum plantar flexion, inversion, and internal rotation to maximum dorsiflexion, eversion, and external rotation. A segmentation method combining graph cuts and level set was developed. In the subsequent registration step, a separate rigid body transformation for each bone was obtained by registering the neutral position dataset to each of the other ones, which produced an accurate description of the motion between them. The segmentation algorithm allowed a user to interactively delineate 14 foot bones in the neutral position volume in less than 30 min total (user and computer processing unit [CPU]) time. Registration to the seven other positions took approximately 10 additional minutes of user time and 5.25 h of CPU time. For validation, our results were compared with those obtained from 3DViewnix, a semiautomatic segmentation program. We achieved excellent agreement, with volume overlap ratios greater than 88% for all bones excluding the intermediate cuneiform and the lesser metatarsals. For the registration of the neutral scan to the seven other positions, the average overlap ratio is 94.25%, while the minimum overlap ratio is 89.49% for the tibia between the neutral position and position 1, which might be due to different fields of view (FOV). To process a single foot in eight positions, our tool requires only minimal user interaction time (less than 30 min total), a level of improvement that has the potential to make joint motion analysis from MRI practical in research and clinical applications.
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October 2011
Research Papers
Multi-Rigid Image Segmentation and Registration for the Analysis of Joint Motion From Three-Dimensional Magnetic Resonance Imaging
Yangqiu Hu,
Yangqiu Hu
Department of Bioengineering,
University of Washington
, Seattle, WA 98195; Department of Radiology, University of Washington
, Seattle, WA 98195
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William R. Ledoux,
William R. Ledoux
VA Center of Excellence for Limb Loss Prevention and Prosthetic Engineering, Seattle, WA 98108; Department of Orthopaedics & Sports Medicine,
University of Washington
, Seattle, WA 98195; Department of Mechanical Engineering, University of Washington
, Seattle, WA 98195 e-mail:
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Eric S. Rohr,
Eric S. Rohr
VA Center of Excellence for Limb Loss Prevention and Prosthetic Engineering
, Seattle, WA 98108
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Bruce J. Sangeorzan,
Bruce J. Sangeorzan
VA Center of Excellence for Limb Loss Prevention and Prosthetic Engineering
, Seattle, WA 98108; Department of Orthopaedics & Sports Medicine, University of Washington
, Seattle, WA 98195
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David Haynor
David Haynor
Department of Bioengineering,
University of Washington
, Seattle, WA 98195; Department of Radiology, University of Washington
, Seattle, WA 98195
Search for other works by this author on:
Yangqiu Hu
Department of Bioengineering,
University of Washington
, Seattle, WA 98195; Department of Radiology, University of Washington
, Seattle, WA 98195
William R. Ledoux
VA Center of Excellence for Limb Loss Prevention and Prosthetic Engineering, Seattle, WA 98108; Department of Orthopaedics & Sports Medicine,
University of Washington
, Seattle, WA 98195; Department of Mechanical Engineering, University of Washington
, Seattle, WA 98195 e-mail:
Eric S. Rohr
VA Center of Excellence for Limb Loss Prevention and Prosthetic Engineering
, Seattle, WA 98108
Bruce J. Sangeorzan
VA Center of Excellence for Limb Loss Prevention and Prosthetic Engineering
, Seattle, WA 98108; Department of Orthopaedics & Sports Medicine, University of Washington
, Seattle, WA 98195
David Haynor
Department of Bioengineering,
University of Washington
, Seattle, WA 98195; Department of Radiology, University of Washington
, Seattle, WA 98195J Biomech Eng. Oct 2011, 133(10): 101005 (8 pages)
Published Online: October 31, 2011
Article history
Received:
June 20, 2011
Revised:
August 29, 2011
Online:
October 31, 2011
Published:
October 31, 2011
Citation
Hu, Y., Ledoux, W. R., Fassbind, M., Rohr, E. S., Sangeorzan, B. J., and Haynor, D. (October 31, 2011). "Multi-Rigid Image Segmentation and Registration for the Analysis of Joint Motion From Three-Dimensional Magnetic Resonance Imaging." ASME. J Biomech Eng. October 2011; 133(10): 101005. https://doi.org/10.1115/1.4005175
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