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Abstract #0350

Gray Level Co-occurrence Matrix Based 3D Texture Analysis of Knee Articular Cartilage using 3D DESS Images

Ari Väärälä1,2, Arttu Peuna3, Egor Panfilov1,2, Victor Casula1,2, Marianne Haapea2,4, Eveliina Lammentausta1,2,4, and Miika T Nieminen1,2,4
1Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland, 2Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, Finland, 3Medical Imaging, Central Finland Health Care District, Jyväskylä, Finland, 4Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland

In the present study, a gray level co-occurrence matrix-based 3D texture analysis of knee 3D DESS images was used to investigate longitudinal changes in articular cartilage using data from the Osteoarthritis Initiative (baseline, 36-month and 72-month visits). At baseline, all subjects included in the study had Kellgren-Lawrence grade < 2. Three groups were defined, based on time of progression into radiographic osteoarthritis (Kellgren-Lawrence grades ≥ 2): control, slow progressor and fast progressor groups. 3D texture analysis of 3D DESS images was able to distinguish progressors from controls before radiographic signs of osteoarthritis and showed significant longitudinal changes across all groups.

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