DocumentCode
2483189
Title
Automatic mask creation and feature analysis for detectionof IVDD in canines
Author
Afruz, Jakia ; Phelps, Jesse ; Umbaugh, Scott E. ; Marino, Dominic J. ; Loughin, Catherine A.
Author_Institution
Comput. Vision & Image Process. Lab., Southern Illinois Univ. Edwardsville (SIUE), Edwardsville, IL, USA
fYear
2010
fDate
Nov. 30 2010-Dec. 2 2010
Firstpage
682
Lastpage
687
Abstract
Intervertebral disc disease (IVDD) is a condition that affects both humans and canines. This disease is painful and degrades the quality of life for those that suffer from it. The current diagnostic methods for this disease are Magnetic Resonance Imaging (MRI) and/or Computed Axial Tomography (CAT scan). Both of these diagnostic methods are expensive and time consuming and involve patients being exposed to radiation and strong magnetic fields. In canines in particular, the amount of time it takes to perform one of these scans makes it necessary to sedate the animal as the patient needs to be still during the diagnostic procedure. Use of thermographic imaging for diagnosis, or at least prescreening, patients for IVDD will save money, time and possibly prevent needless radiation exposure. This paper attempts to show that thermal imaging of patients that are candidates for IVDD may be used diagnostically or as a prescreening method.
Keywords
biomedical MRI; computerised tomography; diseases; infrared imaging; medical image processing; IVDD detection; animal; automatic mask creation; canines; computed axial tomography; disease diagnostic; feature analysis; intervertebral disc disease; magnetic fields; magnetic resonance imaging; patient needs; prescreening method; radiation exposure; thermographic imaging; CVIPtools; automatic algorithm development; feature extraction; intervertebral disc disease; magnetic resonance imaging; pattern classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Sciences and Convergence Information Technology (ICCIT), 2010 5th International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4244-8567-3
Electronic_ISBN
978-89-88678-30-5
Type
conf
DOI
10.1109/ICCIT.2010.5711141
Filename
5711141
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