title: Computer-aided classification of optical images for diagnosis of osteoarthritis in the finger joints.
abstract: This study presents a computer-aided classification method to distinguish osteoarthritis finger joints from healthy ones based on the functional images captured by x-ray guided diffuse optical tomography. Three imaging features, joint space width, optical absorption, and scattering coefficients, are employed to train a Least Squares Support Vector Machine (LS-SVM) classifier for osteoarthritis classification. The 10-fold validation results show that all osteoarthritis joints are clearly identified and all healthy joints are ruled out by the LS-SVM classifier. The best sensitivity, specificity, and overall accuracy of the classification by experienced technicians based on manual calculation of optical properties and visual examination of optical images are only 85%, 93%, and 90%, respectively. Therefore, our LS-SVM based computer-aided classification is a considerably improved method for osteoarthritis diagnosis.
authors.affiliation: Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA The Information Research Institute, Southwest Jiaotong University, Chengdu, China.
authors.forename: Jiang
authors.initials: J
authors.lastname: Zhang
authors.affiliation: School of Computing, Clemson University, Clemson, SC, USA.
authors.forename: James Z
authors.initials: JZ
authors.lastname: Wang
authors.affiliation: Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
authors.forename: Zhen
authors.initials: Z
authors.lastname: Yuan
authors.affiliation: Division of Rheumatology, College of Medicine, University of Florida, Gainesville, FL, USA.
authors.forename: Eric S
authors.initials: ES
authors.lastname: Sobel
authors.affiliation: Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
authors.forename: Huabei
authors.initials: H
authors.lastname: Jiang
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D004867:Equipment Design; D005260:Female; D005384:Finger Joint / Q000473:pathology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008875:Middle Aged; D010003:Osteoarthritis / Q000175:diagnosis*; D060388:Support Vector Machine; D041622:Tomography, Optical / Q000295:instrumentation / Q000379:methods*
keywords: Osteoarthritis; diffuse optical tomography; finger joints; least squares support vector machine; statistical analysis; x-rays