Thalamus segmentation based on the local diffusion direction: a group study
Fast and accurate segmentation of deep gray matter regions in the brain is important for clinical applications such as surgical planning for the placement of deep brain stimulation implants. Mapping anatomy from stereotactic atlases to patient data is problematic because of individual differences in...
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| Main Authors: | , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
2012
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| In: |
Magnetic resonance in medicine
Year: 2011, Volume: 67, Issue: 1, Pages: 118-126 |
| ISSN: | 1522-2594 |
| DOI: | 10.1002/mrm.22996 |
| Online Access: | Verlag, Volltext: http://dx.doi.org/10.1002/mrm.22996 Verlag, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.22996 
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| Author Notes: | Sarah C. Mang, Ania Busza, Susanne Reiterer, Wolfgang Grodd, and Uwe Klose |
| Summary: | Fast and accurate segmentation of deep gray matter regions in the brain is important for clinical applications such as surgical planning for the placement of deep brain stimulation implants. Mapping anatomy from stereotactic atlases to patient data is problematic because of individual differences in subject anatomy that are not accounted for by commonly used atlases. We present a segmentation method for individual subject diffusion tensor MR data that is based on local diffusion information to identify subregions of the thalamus. We show the correspondence of our segmentation results to anatomy by comparison with stereotactic atlas data. Importantly, we verify the consistency of our segmentation by evaluating the method on 63 healthy volunteers. Our method is fast, reliable, and independent of any segmentation before the classification of regions within the thalamus. It should, therefore, be useful in clinical applications. Magn Reson Med, 2011. © 2011 Wiley-Liss, Inc. |
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| Item Description: | First published: 07 June 2011 Gesehen am 17.10.2018 |
| Physical Description: | Online Resource |
| ISSN: | 1522-2594 |
| DOI: | 10.1002/mrm.22996 |