Connectivity-based segmentation of brain regions using probabilistic diffusion tractography
| Project/Area Number |
24689047
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| Research Category |
Grant-in-Aid for Young Scientists (A)
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| Allocation Type | Partial Multi-year Fund |
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| Research Field |
Radiation science
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| Research Institution | The University of Tokyo |
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Principal Investigator |
TAKAO HIDEMASA 東京大学, 医学部附属病院, 講師 (10444093)
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| Project Period (FY) |
2012-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥15,080,000 (Direct Cost: ¥11,600,000、Indirect Cost: ¥3,480,000)
Fiscal Year 2015: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2014: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2013: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2012: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
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| Keywords | 脳・神経 / MRI |
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| Outline of Final Research Achievements |
We performed connectivity-based parcellation of brain regions such as the amygdala, which is a complex structure composed of a heterogeneous group of nuclei and subnuclei, using diffusion-weighted imaging and probabilistic tractography. The subregions of the amygdala were segmented based on the connectivity pattern between the amygdala and other brain regions. As a basis for connectivity-based parcellation, we evaluated the effects of scanning conditions and image correction methods on morphometric and diffusion-weighted imaging.
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Report
(6 results)
Research Products
(7 results)
