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Muscle Tissue Labeling of Human Lower Extremities in Multi-Channel mDixon MR Imaging: Concepts and Applications

Becker, Matthias and Magnenat-Thalmann, Nadia


With increasing resolutions and number of acquisitions, medical imaging more and more requires computer support for interpretation as currently not all imaging data is fully used. In our work we show how multi-channel images can be used for robust air masking and reliable muscle tissue detection in human subjects. We exploit additional channels that are usually discarded in clinical routine. We use the common mDixon acquisition protocol for MR imaging. A series of thresholding, morphological and connectivity operations is used for processing. We demonstrate our approach on two subjects and present a comparison with manual labeling. We discuss how this work is used for advanced and intuitive visualization, the quantification of tissue types, pose estimation, initialization of further segmentation methods and how it could be used in clinical environments.

DOI: 10.1109/BIBM.2014.6999168
Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6999168&isnumber=6999111
 	
@inproceedings{BMT14b,
  author = {Becker, Matthias and Magnenat-Thalmann, Nadia},
  booktitle = {Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on},
  doi = {10.1109/BIBM.2014.6999168},
  keywords = {Biomedical imaging,Image segmentation,Labeling,Manuals,Medical imaging,Morphological operations,Muscles,morphological operations,muscle segmentation,tissue labeling},
  pages = {279--284},
  title = {Muscle Tissue Labeling of Human Lower Extremities in Multi-Channel mDixon MR Imaging: Concepts and Applications},
  url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=6999168\&isnumber=6999111},
  year = {2014}
}