Share Email Print
cover

Proceedings Paper

Volumetric characterization of human patellar cartilage matrix on phase contrast x-ray computed tomography
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Phase contrast X-ray computed tomography (PCI-CT) has recently emerged as a novel imaging technique that allows visualization of cartilage soft tissue, subsequent examination of chondrocyte patterns, and their correlation to osteoarthritis. Previous studies have shown that 2D texture features are effective at distinguishing between healthy and osteoarthritic regions of interest annotated in the radial zone of cartilage matrix on PCI-CT images. In this study, we further extend the texture analysis to 3D and investigate the ability of volumetric texture features at characterizing chondrocyte patterns in the cartilage matrix for purposes of classification. Here, we extracted volumetric texture features derived from Minkowski Functionals and gray-level co-occurrence matrices (GLCM) from 496 volumes of interest (VOI) annotated on PCI-CT images of human patellar cartilage specimens. The extracted features were then used in a machine-learning task involving support vector regression to classify ROIs as healthy or osteoarthritic. Classification performance was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC). The best classification performance was observed with GLCM features correlation (AUC = 0.83 ± 0.06) and homogeneity (AUC = 0.82 ± 0.07), which significantly outperformed all Minkowski Functionals (p < 0.05). These results suggest that such quantitative analysis of chondrocyte patterns in human patellar cartilage matrix involving GLCM-derived statistical features can distinguish between healthy and osteoarthritic tissue with high accuracy.

Paper Details

Date Published: 19 March 2015
PDF: 9 pages
Proc. SPIE 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, 94171F (19 March 2015); doi: 10.1117/12.2082084
Show Author Affiliations
Anas Z. Abidin, Univ. of Rochester (United States)
Mahesh B. Nagarajan, Univ. of Rochester (United States)
Walter A. Checefsky, Univ. of Rochester (United States)
Paola Coan, Ludwig-Maximilians-Univ. München (Germany)
European Synchrotron Radiation Facility (France)
Paul C. Diemoz, Ludwig-Maximilians-Univ. München (Germany)
European Synchrotron Radiation Facility (France)
Susan K. Hobbs, Univ. of Rochester (United States)
Markus B. Huber, Univ. of Rochester (United States)
Axel Wismüller, Univ. of Rochester (United States)
Ludwig-Maximilians-Univ. München (Germany)


Published in SPIE Proceedings Vol. 9417:
Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Robert C. Molthen, Editor(s)

© SPIE. Terms of Use
Back to Top