2014 Fiscal Year Final Research Report
Application of high-speed and high-precision denoising techniques with GPGPU for brain imaging
Project/Area Number |
24791296
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Radiation science
|
Research Institution | Kyoto University |
Principal Investigator |
OISHI Naoya 京都大学, 医学(系)研究科(研究院), 助教 (40526878)
|
Project Period (FY) |
2012-04-01 – 2015-03-31
|
Keywords | 脳画像 / ノイズ除去 / GPGPU |
Outline of Final Research Achievements |
A non-local means (NLM) filter has been proposed, which can effectively remove noise with preserving edge in return for computational burden. We have therefore developed an accelerating software of the 3D NLM filter by general-purpose graphics processing units (GPGPU), which enables massively parallel computing. In the study, we applied the software to human and animal brain MRI and demonstrated that it is useful not only for basic but also clinical researches.
|
Free Research Field |
医用画像工学
|