Abstract
Knee osteoarthritis (OA) is a debilitating health condition affecting elderly population. Early diagnosis of the disease noninvasively will be very useful, and requires novel image analysis techniques to be developed for processing radiological and MRI scans of knee joints. In this paper, we propose novel micro texture based feature descriptors for modeling subtle variations in MRI T2 maps, so as to facilitate early detection of osteoarthritis. The experimental evaluation of the proposed micro texture descriptors on a publicly available OAI database show, that the proposed features allow a significant improvement in discriminating the textures for MRI T2 maps, corresponding to normal subjects as compared to the subjects with risk factors for developing osteoarthritis.
Original language | English |
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Title of host publication | IEEE International Conference on Fuzzy Systems (FUZZ) |
Editors | Nikihil Pal, Bernadette Mounier |
Place of Publication | Hyderabad, India |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 1-6 |
Number of pages | 6 |
Volume | 9 |
DOIs | |
Publication status | Published - 7 Jul 2013 |
Event | IEEE International Conference on Fuzzy Systems - Hyderabad, Hyderabad, India Duration: 7 Jul 2013 → 10 Jul 2013 |
Conference
Conference | IEEE International Conference on Fuzzy Systems |
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Country/Territory | India |
City | Hyderabad |
Period | 7/07/13 → 10/07/13 |