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Proceedings Paper

Image segmentation and registration for the analysis of joint motion from 3D MRI
Author(s): Yangqiu Hu; David R. Haynor; Michael Fassbind; Eric Rohr; William Ledoux
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Paper Abstract

We report an image segmentation and registration method for studying joint morphology and kinematics from in vivo MRI scans and its application to the analysis of ankle joint motion. Using an MR-compatible loading device, a foot was scanned in a single neutral and seven dynamic positions including maximal flexion, rotation and inversion/eversion. A segmentation method combining graph cuts and level sets was developed which allows a user to interactively delineate 14 bones in the neutral position volume in less than 30 minutes total, including less than 10 minutes of user interaction. In the subsequent registration step, a separate rigid body transformation for each bone is obtained by registering the neutral position dataset to each of the dynamic ones, which produces an accurate description of the motion between them. We have processed six datasets, including 3 normal and 3 pathological feet. For validation our results were compared with those obtained from 3DViewnix, a semi-automatic segmentation program, and achieved good agreement in volume overlap ratios (mean: 91.57%, standard deviation: 3.58%) for all bones. Our tool requires only 1/50 and 1/150 of the user interaction time required by 3DViewnix and NIH Image Plus, respectively, an improvement that has the potential to make joint motion analysis from MRI practical in research and clinical applications.

Paper Details

Date Published: 10 March 2006
PDF: 10 pages
Proc. SPIE 6141, Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display, 61410H (10 March 2006); doi: 10.1117/12.654338
Show Author Affiliations
Yangqiu Hu, Univ. of Washington (United States)
David R. Haynor, Univ. of Washington (United States)
Michael Fassbind, VA Ctr. of Excellence for Limb Loss (United States)
Eric Rohr, VA Ctr. of Excellence for Limb Loss (United States)
William Ledoux, VA Ctr. of Excellence for Limb Loss (United States)


Published in SPIE Proceedings Vol. 6141:
Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display
Kevin R. Cleary; Robert L. Galloway, Jr., Editor(s)

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