Abstract #1274
FAST INTERACTIVE SEGMENTATION OF SKELETAL MUSCLES IN MRI
Alexey Shukelovich 1,2 , Pierre-Yves Baudin 1 , Noura Azzabou 1 , Pierre G Carlier 1 , Jean-Marc Boisserie 1 , and Julien LeLouer 1
1
AIM-CEA Institut de Myologie, Laboratoire
RMN, Paris, France,
2
The
United Institute of Informatics Problems of the National
Academy of Sciences of Belarus, Minsk, Belarus
In this work we present a user-friendly interactive
segmentation tool that is handy and suitable for
clinicians and is developed to improve, accelerate and
facilitate MRI muscle segmentation process. Segmentation
software is built on the top of ITK-SNAP and
incorporates a new segmentation tool based on a robust
semi-automatic random walker algorithm. Experimental
segmentation was done on a human thigh muscle MRI
dataset and compared to a manual segmentation using
relative volume differences and Dice coefficients. We
have achieved a sufficient acceleration in segmentation
process with minor loss of segmentation quality.
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