Paper
20 May 1999 3D analysis of the peritalar complex using MR imaging in live patients
Eric Stindel, Jayaram K. Udupa, Bruce Elliot Hirsch, Dewey Odhner
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Abstract
The purpose of this work is to characterize and classify the 3D architecture and kinematics of the joints of the foot, in live patients from 3D MR images. In the first part of this work we define a set of architectural parameters to describe the 3D relationships among the peritalar components and propose a new tool to automatically classify normal and pathological feet based on their architectural features. In the second part we extend the architectural method to the kinematics of the foot. Each image data set utilized in this study consists of 60 longitudinal slices of the foot acquired on a 1.5 T commercial MR system in each of 8 positions from extreme pronation to extreme supination. In the first part of this work, we developed a graphical representation of these parameters that provides useful and specific information for the clinician, and also developed a simple pattern classification method to select the most characteristic parameters for each pathological group. In the second part of this work, we show how these specific parameters vary during motion. The results presented characterize the normal architectural features of the foot. They show how each foot can be automatically classified into one of three pathological groups based on its architecture and its variations. They also present the normal features of motion, and show how normal and abnormal motions can be distinguished. We conclude that 3D MR image and analysis is a unique and powerful technique to study and follow normal and pathological feet in living patients.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eric Stindel, Jayaram K. Udupa, Bruce Elliot Hirsch, and Dewey Odhner "3D analysis of the peritalar complex using MR imaging in live patients", Proc. SPIE 3660, Medical Imaging 1999: Physiology and Function from Multidimensional Images, (20 May 1999); https://doi.org/10.1117/12.349622
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Bone

Kinematics

Magnetic resonance imaging

3D image processing

Data acquisition

Surgery

X-rays

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