Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
563-02-005 ISMRM Abstract

Texture Cluster Analysis Of Knee Cartilage T2 Maps

Primary: Musculoskeletal - Cartilage
Secondary: Analysis Methods - Radiomics
563-02-005 · Cartilage 2026 · Wednesday, 13 May, 9:15 AM–10:10 AM · Digital Posters Row D
Keywords: Degenerative Cartilage Cluster-based radiomics T2 mapping
Accepted
Veronika Janacova 1,2, Diana Sitarcikova3, Pavol Szomolanyi1,4, Barbara Hristoska5, Malina Gologan5, Siegfried Trattnig5,6,7,8,9,10, Vladimir Juras1
1Department of Biomedical Imaging and Image-guided Therapy, High Field MR Centre, Medical University of Vienna, Vienna, Austria
2CD Laboratory for MR Imaging Biomarkers (BIOMAK), Vienna, Austria
3Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Vienna, Austria
4Department of Imaging Methods, Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia
5Medical University of Vienna, Vienna, Austria
6Christian Doppler Laboratory for MR Imaging Biomarkers, Vienna, Austria
7Institute for Clinical Molecular MRI, Karl Landsteiner Society, St. Pölten, Austria
8Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
9Highfield MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
10Biomedical Imaging and Image-guided Therapy, High-Field MR Center, Medical University of Vienna, Vienna, Austria
Presenting Author: Veronika Janacova

Synopsis

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References

1. 1. Mosher TJ, Dardzinski BJ. Cartilage MRI T2 Relaxation Time Mapping: Overview and Applications. Seminars in Musculoskeletal Radiology. 2005;08:355-368. doi:10.1055/s-2004-861764 [doi]
2. 2. Joseph GB, Baum T, Carballido-Gamio J, et al. Texture analysis of cartilage T2 maps: individuals with risk factors for OA have higher and more heterogeneous knee cartilage MR T2 compared to normal controls - data from the osteoarthritis initiative. Arthritis Research & Therapy. 2011;13(5):R153. doi:10.1186/ar3469 [doi]
3. 3. Pai S A, Gatti AA, Black MS, et al. T2 Clusters Are More Sensitive Than Mean T2 Change to Detect Early and Longitudinal Changes in Anterior Cruciate Ligament Reconstructed and Healthy Knees. Journal of Magnetic Resonance Imaging. 2025;61(6):2615-2629. doi:10.1002/jmri.29689 [doi]
4. 4. Dai W, Woo B, Liu S, et al. CAN3D: Fast 3D medical image segmentation via compact context aggregation. Medical Image Analysis. 2022;82:102562. doi:10.1016/j.media.2022.102562 [doi]
5. 5. Haralick RM, Shanmugam K, Dinstein I. Textural Features for Image Classification. IEEE Transactions on Systems, Man, and Cybernetics. 1973;SMC-3(6):610-621. doi:10.1109/TSMC.1973.4309314 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/563-02-005