| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2020: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2019: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2018: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Outline of Final Research Achievements |
This study aims to correlate the wall enhancement in MR vessel wall imaging and hemodynamic stress in small-middle cerebral aneurysms. In the case of 10-years follow-up, the extension of aneurysm wall occurs near the breb where the wall enhancement observed.
For further study to establish the threshold of hemodynamic parameters, analysis for big data will be required. Therefore, deep learning technique was applied for predicting the flow field inside blood vessels. This network can predict the flow from the geometry directly and achieved the speedup of analysis 600 times than conventional CFD.
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