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Abstract #3264

Automated Muscle Fat Segmentation in DTI Data of Post-Polio Patients Based on Parameter Distirbutions

Martijn Froeling1, Gustav J. Strijkers2, Frans Nollet3, Marianne de Visser4, Klaas Nicolay2, Aart J. Nederveen5

1Department of Radiology, Academical Medical Center , Amsterdam, Netherlands; 2Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands; 3Department of Rehabilitation Medicine, Academical Medical Center, Amsterdam, Netherlands; 4Department of Neurology, Academical Medical Center, Amsterdam, Netherlands; 5Department of Radiology, Academical Medical Center, Amsterdam, Netherlands

In DTI of skeletal muscle in post-polio patients one would like to make a distinction between healthy and affected muscles and also investigate if the fat-infiltrated muscles show organized structures and thus differs from the subcutaneous fat. The aim of this work was therefore to develop a fully automated algorithm for segmentation of healthy and fat-infiltrated muscle based on the distribution of the diffusion tensor imaging parameters.