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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Becker, M. Magnenat-Thalmann, N. |
| Copyright Year | 2014 |
| Description | Author affiliation: MIRALab, Univ. of Geneva, Geneva, Switzerland (Becker, M.; Magnenat-Thalmann, N.) |
| Abstract | 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. |
| Starting Page | 279 |
| Ending Page | 284 |
| File Size | 3249688 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479956692 |
| DOI | 10.1109/BIBM.2014.6999168 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-11-02 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Medical imaging Manuals Muscles tissue labeling Labeling muscle segmentation morphological operations Morphological operations Biomedical imaging |
| Content Type | Text |
| Resource Type | Article |
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