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Abstract #2692

Automatic segmentation of tendons in human skeletal muscles using DTI tractography derived tract-density maps

Jos Oudeman 1 , Gustav J Strijkers 2 , Mario Maas 1 , Aart J Nederveen 1 , P Luijten 3 , and Martijn Froeling 1,3

1 Radiology, Academic Medical Center, Amsterdam, Noord Holland, Netherlands, 2 Biomedical NMR, Department of biomedical engineering, Eindhoven University of Technology, Eindhoven, Brabant, Netherlands, 3 Radiology, University Medical Center, Utrecht, Utrecht, Netherlands

In Diffusion Tensor Imaging (DTI) studies of skeletal muscles, segmentation is performed manually, which is tedious and difficult in complex structures. Furthermore, muscle fiber tractography often results in fibers that continue along tendon or aponeurosis due to partial volume effects. This effect leads to overestimation of muscle fiber lengths and making it difficult to identify tendon insertion points and calculate pennation angles.Due to the partial volume effects reconstructed fibers tend to curve along the tendons. Therefore we hypothesized tract density differences can be used for automatic muscle segmentation to distinguish muscle from tendon.

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