Paper
20 May 1999 Kinematic analysis of musculoskeletal structures via volumetric MRI and unsupervised segmentation
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jose Gerardo Tamez-Pena, Saara Totterman, and Kevin J. Parker "Kinematic analysis of musculoskeletal structures via volumetric MRI and unsupervised segmentation", Proc. SPIE 3660, Medical Imaging 1999: Physiology and Function from Multidimensional Images, (20 May 1999); https://doi.org/10.1117/12.349621
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image segmentation

Motion estimation

Detection and tracking algorithms

Kinematics

Image processing algorithms and systems

Magnetic resonance imaging

Motion models

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