| Presentation | 2010-02-16 Detection of Abnormality in Brain using Structural Features on Phase Images of Super-low Field MRI Yuko OUCHI, Ikuko UWANO, Masashi KAMEDA, Syunrou FUJIWARA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In our study, we have proposed a new MRI device to find out any brain diseases even if people don't come to hospital. The output of the proposed device is a set of super-low field MR images which are indistinct in comparison with the previous MR images. Therefore, it is difficult to detect brain diseases from the super-low field MR images by the conventional detection measures. This paper presents a method to detect abnormality from the super-low field brain MR images of patients. Usually, super-low field magnitude images have been used to detect any abnormality in the brain. However, the detection of abnormality in the brain has been difficult at the complicated structure area such as the sulcus. In order to solve the problem, we have focused on phase images. In the proposed method, the subband to detect the abnormality easily is determined by partitioning the super-low field phase images into some subbands, and the detection method is developed for the obtained subband phase images. It is seen in our experiments that the abnormality in the brain is distinguished using both results of super-low field magnitude images and super-low field phase images. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Brain / Super-low Field MR Images / Abnormality Detection / Magnitude Images / Phase Images |
| Paper # | ITS2009-74,IE2009-168 |
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| Conference Information | |
| Committee | ITS |
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| Conference Date | 2010/2/8(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Intelligent Transport Systems Technology (ITS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Detection of Abnormality in Brain using Structural Features on Phase Images of Super-low Field MRI |
| Sub Title (in English) | |
| Keyword(1) | Brain |
| Keyword(2) | Super-low Field MR Images |
| Keyword(3) | Abnormality Detection |
| Keyword(4) | Magnitude Images |
| Keyword(5) | Phase Images |
| 1st Author's Name | Yuko OUCHI |
| 1st Author's Affiliation | Graduate School of Software and Information Science, Iwate Prefectural University() |
| 2nd Author's Name | Ikuko UWANO |
| 2nd Author's Affiliation | Graduate School of Software and Information Science, Iwate Prefectural University |
| 3rd Author's Name | Masashi KAMEDA |
| 3rd Author's Affiliation | Graduate School of Software and Information Science, Iwate Prefectural University |
| 4th Author's Name | Syunrou FUJIWARA |
| 4th Author's Affiliation | Advanced Medical Science Center, Iwate Medical University |
| Date | 2010-02-16 |
| Paper # | ITS2009-74,IE2009-168 |
| Volume (vol) | vol.109 |
| Number (no) | 414 |
| Page | pp.pp.- |
| #Pages | 6 |
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