2012 Fiscal Year Final Research Report
Development of a novel estimation method for spatially varying noise levels in MR images
| Project/Area Number |
23791422
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Radiation science
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| Research Institution | Osaka University |
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Principal Investigator |
UEGUCHI Takashi 大阪大学, 医学部附属病院, 医療技術職員 (80403070)
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| Project Period (FY) |
2011 – 2012
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| Keywords | 医用画像 / 画質評価 / 磁気共鳴 / ノイズ |
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| Research Abstract |
Signal-to-noise ratio (SNR) is an important metric commonly used to evaluate image quality in magnetic resonance (MR) imaging, because it is quite sensitive to any change of imaging techniques and hardware performances. The SNR is defined as the ratio of the mean signal intensity within a homogeneous region of interest to noise estimated as its standards deviation. However, poor signal uniformity is fairly common in MR images, and thus standard deviation of pixel values is more strongly influenced by the image uniformity than true random noise. In this study, we have developed an accurate and robust noise estimation method for calculating reliable SNR values.
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