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Proceedings Paper

Thermography based diagnosis of ruptured anterior cruciate ligament (ACL) in canines
Author(s): Norsang Lama; Scott E. Umbaugh; Deependra Mishra; Rohini Dahal; Dominic J. Marino; Joseph Sackman
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Paper Abstract

Anterior cruciate ligament (ACL) rupture in canines is a common orthopedic injury in veterinary medicine. Veterinarians use both imaging and non-imaging methods to diagnose the disease. Common imaging methods such as radiography, computed tomography (CT scan) and magnetic resonance imaging (MRI) have some disadvantages: expensive setup, high dose of radiation, and time-consuming. In this paper, we present an alternative diagnostic method based on feature extraction and pattern classification (FEPC) to diagnose abnormal patterns in ACL thermograms. The proposed method was experimented with a total of 30 thermograms for each camera view (anterior, lateral and posterior) including 14 disease and 16 non-disease cases provided from Long Island Veterinary Specialists. The normal and abnormal patterns in thermograms are analyzed in two steps: feature extraction and pattern classification. Texture features based on gray level co-occurrence matrices (GLCM), histogram features and spectral features are extracted from the color normalized thermograms and the computed feature vectors are applied to Nearest Neighbor (NN) classifier, K-Nearest Neighbor (KNN) classifier and Support Vector Machine (SVM) classifier with leave-one-out validation method. The algorithm gives the best classification success rate of 86.67% with a sensitivity of 85.71% and a specificity of 87.5% in ACL rupture detection using NN classifier for the lateral view and Norm-RGB-Lum color normalization method. Our results show that the proposed method has the potential to detect ACL rupture in canines.

Paper Details

Date Published: 27 September 2016
PDF: 8 pages
Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99712N (27 September 2016); doi: 10.1117/12.2237462
Show Author Affiliations
Norsang Lama, Southern Illinois Univ. Edwardsville (United States)
Scott E. Umbaugh, Southern Illinois Univ. Edwardsville (United States)
Deependra Mishra, Southern Illinois Univ. Edwardsville (United States)
Rohini Dahal, Southern Illinois Univ. Edwardsville (United States)
Dominic J. Marino, Long Island Veterinary Specialists (United States)
Joseph Sackman, Long Island Veterinary Specialists (United States)

Published in SPIE Proceedings Vol. 9971:
Applications of Digital Image Processing XXXIX
Andrew G. Tescher, Editor(s)

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