Thalamus Segmentation from Diffusion Tensor Magnetic Resonance Imaging
2007 ◽
Vol 2007
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pp. 1-5
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Keyword(s):
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.
2014 ◽
Vol 4
(6)
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pp. 901-906
2019 ◽
Vol 47
(12)
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pp. 2895-2903
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2020 ◽
Vol 51
(1)
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Keyword(s):
2019 ◽
Vol 50
(1)
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