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Abstract #1332

Optimization of GLCM Texture Analysis settings in Liver Radial T2 Maps: Fibrotic vs Healthy Liver

Diana Bencikova1,2, Veronika Janacova1, Marcus Raudner1, Ahmed Ba-Ssalamah1, Siegfried Trattnig1,2, and Martin Krssak3
1Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular Imaging, MOLIMA, Vienna, Austria, 3Division of Endocrinology and Metabolism, Department of Medicine III, Medical University Vienna, Vienna, Austria


GLCM texture analysis is a promising technique for characterizing and classifying tissue pathologies. In liver applications it has been mostly performed on T2-weighted images. Fast radial T2 mapping techniques enable acquiring T2 maps in clinically feasible measurement time (during breath-hold). Here, we explored the performance of the different settings of GLCM texture analysis in liver T2 maps, which might be more advantageous compared to T2-weighted images. We identified the grey-level quantization of 8bits and direction of 90° as the best setting for discrimination between fibrotic and healthy livers.

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