Thalamus Segmentation from Diffusion Tensor Magnetic Resonance Imaging
We propose a semi-automatic thalamus and thalamus nuclei segmentation algorithm from Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) based on the mean-shift algorithm. Comparing with existing thalamus segmentation algorithms which are mainly based on K-means algorithm, our mean-shift based algo...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2007-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2007/90216 |
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| _version_ | 1832553419090427904 |
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| author | Ye Duan Xiaoling Li Yongjian Xi |
| author_facet | Ye Duan Xiaoling Li Yongjian Xi |
| author_sort | Ye Duan |
| collection | DOAJ |
| description | We propose a semi-automatic thalamus and thalamus nuclei segmentation algorithm from Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) based on the mean-shift algorithm. Comparing with existing thalamus segmentation algorithms which are mainly based on K-means algorithm, our mean-shift based algorithm is more
flexible and adaptive. It does not assume a Gaussian distribution or a fixed number of clusters. Furthermore, the single parameter in the mean-shift based algorithm supports hierarchical clustering naturally. |
| format | Article |
| id | doaj-art-b095ded15ef74d8abfe7ba8a73abcfbe |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2007-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-b095ded15ef74d8abfe7ba8a73abcfbe2025-02-03T05:54:04ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962007-01-01200710.1155/2007/9021690216Thalamus Segmentation from Diffusion Tensor Magnetic Resonance ImagingYe Duan0Xiaoling Li1Yongjian Xi2Department of Computer Science, College of Engineering, University of Missouri-Columbia, Columbia 65211-2060, MO, USADepartment of Computer Science, College of Engineering, University of Missouri-Columbia, Columbia 65211-2060, MO, USADepartment of Computer Science, College of Engineering, University of Missouri-Columbia, Columbia 65211-2060, MO, USAWe propose a semi-automatic thalamus and thalamus nuclei segmentation algorithm from Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) based on the mean-shift algorithm. Comparing with existing thalamus segmentation algorithms which are mainly based on K-means algorithm, our mean-shift based algorithm is more flexible and adaptive. It does not assume a Gaussian distribution or a fixed number of clusters. Furthermore, the single parameter in the mean-shift based algorithm supports hierarchical clustering naturally.http://dx.doi.org/10.1155/2007/90216 |
| spellingShingle | Ye Duan Xiaoling Li Yongjian Xi Thalamus Segmentation from Diffusion Tensor Magnetic Resonance Imaging International Journal of Biomedical Imaging |
| title | Thalamus Segmentation from Diffusion Tensor Magnetic Resonance Imaging |
| title_full | Thalamus Segmentation from Diffusion Tensor Magnetic Resonance Imaging |
| title_fullStr | Thalamus Segmentation from Diffusion Tensor Magnetic Resonance Imaging |
| title_full_unstemmed | Thalamus Segmentation from Diffusion Tensor Magnetic Resonance Imaging |
| title_short | Thalamus Segmentation from Diffusion Tensor Magnetic Resonance Imaging |
| title_sort | thalamus segmentation from diffusion tensor magnetic resonance imaging |
| url | http://dx.doi.org/10.1155/2007/90216 |
| work_keys_str_mv | AT yeduan thalamussegmentationfromdiffusiontensormagneticresonanceimaging AT xiaolingli thalamussegmentationfromdiffusiontensormagneticresonanceimaging AT yongjianxi thalamussegmentationfromdiffusiontensormagneticresonanceimaging |