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Proceedings Paper

Kinematic analysis of musculoskeletal structures via volumetric MRI and unsupervised segmentation
Author(s): Jose Gerardo Tamez-Pena; Saara Totterman; Kevin J. Parker
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Paper Abstract

In this work we present a comprehensive approach for the kinematic analysis of musculoskeletal structures based on 4D MRI data sets and unsupervised segmentation. We applied this approach to the kinematics analysis of the knee flexion. The unsupervised segmentation algorithm automatically detects the number of spatially independent structures present in the medical image. The motion tracking algorithm is able to pass simultaneously the segmentation of all the structures which allows an automatic segmentation and tracking of the soft tissue and bone structures of knee in a series of volumetric images. Our approach requires a minimum of interactivity with the user, eliminating the need for exhaustive tracings and editing of image data. This segmentation approach allowed us to visualize and analyze the 3D knee flexion, and the local kinematics of the meniscus.

Paper Details

Date Published: 20 May 1999
PDF: 12 pages
Proc. SPIE 3660, Medical Imaging 1999: Physiology and Function from Multidimensional Images, (20 May 1999); doi: 10.1117/12.349621
Show Author Affiliations
Jose Gerardo Tamez-Pena, Univ. of Rochester (United States)
Saara Totterman, Univ. of Rochester Medical Ctr. (United States)
Kevin J. Parker, Univ. of Rochester (United States)

Published in SPIE Proceedings Vol. 3660:
Medical Imaging 1999: Physiology and Function from Multidimensional Images
Chin-Tu Chen; Anne V. Clough, Editor(s)

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