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Proceedings Paper

Advanced statistical analysis to classify high dimensionality textural probability-distribution matrices
Author(s): Jack Prothero; Jean-Baptiste Vimort; Antonio Ruellas; J. S. Marron; Matthew McCormick; Pablo Hernandez-Cerdan; Lucia Cevidanes; Erika Benavides; Beatriz Paniagua
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Paper Abstract

Temporomandibular Joint (TMJ) Osteoarthritis (OA) is associated with significant pain and disability. It is really hard to diagnose TMJ OA during early stages of the disease. Subchondral bone texture has been observed to change in the TMJ early during TMJ OA progression. We believe that raw probability-distribution matrices describing image texture encode important information that might aid diagnosing TMJ OA. In this paper we present novel statistical methods for High Dimensionality Low Sample Size Data (HDLSSD) to test the discriminatory power of probability-distribution matrices in computed from TMJ OA medical scans. Our results, and comparison with previous results obtained from the summary features obtained from them indicate that probability-distribution matrices are an important piece of information provided by texture analysis methods and should not be down sampled for analysis.

Paper Details

Date Published: 15 March 2019
PDF: 7 pages
Proc. SPIE 10953, Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1095318 (15 March 2019); doi: 10.1117/12.2507978
Show Author Affiliations
Jack Prothero, The Univ. of North Carolina at Chapel Hill (United States)
Jean-Baptiste Vimort, Kitware, Inc. (United States)
Antonio Ruellas, Univ. of Michigan (United States)
J. S. Marron, The Univ. of North Carolina at Chapel Hill (United States)
Matthew McCormick, Kitware, Inc. (United States)
Pablo Hernandez-Cerdan, Kitware, Inc. (United States)
Lucia Cevidanes, Univ. of Michigan (United States)
Erika Benavides, Univ. of Michigan (United States)
Beatriz Paniagua, Kitware, Inc. (United States)


Published in SPIE Proceedings Vol. 10953:
Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Andrzej Krol, Editor(s)

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