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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