Automated Pipeline for Shoulder Cartilage Segmentation and Extraction of T2 and Texture Features

Motivation: Automated evaluation of the quantitative MRI T2 maps in the shoulder joint cartilage can improve the efficiency, reproducibility and accuracy of the clinical studies. Goal(s): To design and validate automated shoulder cartilage pipeline, including fully automated cartilage segmentation as well as three T2 modalities, co-registered with the morphological 3D MRI. Approach: Automated shoulder cartilage segmentation provided sixteen cartilage regions, on which the three T2 modalities have been registered. Additionally, texture analysis has been performed on all three T2 maps. Results: While the absolute T2 values were statistically significantly different between three methods, the texture features were not. Impact: This automated pipeline for shoulder cartilage segmentation and extraction of T2 and texture features offers a reliable, efficient approach to assess cartilage health. The integration of T2 mapping techniques are paving the way for quantitative cartilage evaluation in musculoskeletal imaging.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2958
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
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article

Automated Pipeline for Shoulder Cartilage Segmentation and Extraction of T2 and Texture Features

Siegfried Trattnig, Rahel Heule, Vladimír Juráš, Veronika Janáčová et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
E-commerce and Technology Innovations
article

Automated Pipeline for Shoulder Cartilage Segmentation and Extraction of T2 and Texture Features

Siegfried Trattnig, Rahel Heule, Vladimír Juráš, Veronika Janáčová, Pavol Szomolányi, Markus M. Schreiner, Oliver Bieri, Esther Raithel
article en

Abstract

Motivation: Automated evaluation of the quantitative MRI T2 maps in the shoulder joint cartilage can improve the efficiency, reproducibility and accuracy of the clinical studies. Goal(s): To design and validate automated shoulder cartilage pipeline, including fully automated cartilage segmentation as well as three T2 modalities, co-registered with the morphological 3D MRI. Approach: Automated shoulder cartilage segmentation provided sixteen cartilage regions, on which the three T2 modalities have been registered. Additionally, texture analysis has been performed on all three T2 maps. Results: While the absolute T2 values were statistically significantly different between three methods, the texture features were not. Impact: This automated pipeline for shoulder cartilage segmentation and extraction of T2 and texture features offers a reliable, efficient approach to assess cartilage health. The integration of T2 mapping techniques are paving the way for quantitative cartilage evaluation in musculoskeletal imaging.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 53%
E-commerce and Technology Innovations
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