Fuzzy Texture Descriptors for Early Diagnosis of Osteoarthritis

Research output: A Conference proceeding or a Chapter in BookConference contribution

3 Citations (Scopus)
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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 languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems (FUZZ)
EditorsNikihil Pal, Bernadette Mounier
Place of PublicationHyderabad, India
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
Volume9
DOIs
Publication statusPublished - 7 Jul 2013
EventIEEE International Conference on Fuzzy Systems - Hyderabad, Hyderabad, India
Duration: 7 Jul 201310 Jul 2013

Conference

ConferenceIEEE International Conference on Fuzzy Systems
CountryIndia
CityHyderabad
Period7/07/1310/07/13

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Textures
Magnetic resonance imaging
Image analysis
Health
Processing
Magnetic Resonance Imaging

Cite this

Chetty, G., Scarvell, J., & Mitra, S. (2013). Fuzzy Texture Descriptors for Early Diagnosis of Osteoarthritis. In N. Pal, & B. Mounier (Eds.), IEEE International Conference on Fuzzy Systems (FUZZ) (Vol. 9, pp. 1-6). Hyderabad, India: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/FUZZ-IEEE.2013.6622439
Chetty, Girija ; Scarvell, Jennie ; Mitra, Sushmita. / Fuzzy Texture Descriptors for Early Diagnosis of Osteoarthritis. IEEE International Conference on Fuzzy Systems (FUZZ). editor / Nikihil Pal ; Bernadette Mounier. Vol. 9 Hyderabad, India : IEEE, Institute of Electrical and Electronics Engineers, 2013. pp. 1-6
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Chetty, G, Scarvell, J & Mitra, S 2013, Fuzzy Texture Descriptors for Early Diagnosis of Osteoarthritis. in N Pal & B Mounier (eds), IEEE International Conference on Fuzzy Systems (FUZZ). vol. 9, IEEE, Institute of Electrical and Electronics Engineers, Hyderabad, India, pp. 1-6, IEEE International Conference on Fuzzy Systems, Hyderabad, India, 7/07/13. https://doi.org/10.1109/FUZZ-IEEE.2013.6622439

Fuzzy Texture Descriptors for Early Diagnosis of Osteoarthritis. / Chetty, Girija; Scarvell, Jennie; Mitra, Sushmita.

IEEE International Conference on Fuzzy Systems (FUZZ). ed. / Nikihil Pal; Bernadette Mounier. Vol. 9 Hyderabad, India : IEEE, Institute of Electrical and Electronics Engineers, 2013. p. 1-6.

Research output: A Conference proceeding or a Chapter in BookConference contribution

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N2 - 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.

AB - 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.

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KW - Image analysis

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Chetty G, Scarvell J, Mitra S. Fuzzy Texture Descriptors for Early Diagnosis of Osteoarthritis. In Pal N, Mounier B, editors, IEEE International Conference on Fuzzy Systems (FUZZ). Vol. 9. Hyderabad, India: IEEE, Institute of Electrical and Electronics Engineers. 2013. p. 1-6 https://doi.org/10.1109/FUZZ-IEEE.2013.6622439