| Presentation | 2009-05-29 Intracranial aneurysms detection using directional vector of luminance distribution in MRA images Masahito AOYAMA, Takuya KUSU, Masauyki MUKUNOKI, Naoki ASADA, Yosuke KOMEDA, Takashi OKIGAWA, Joji URATA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we describe a computerized scheme for detection the intracranial unruptured aneurysms in MRA images. Our computerized scheme consists of 1) blood vessel segmentation, 2) computation of directional vector field of luminance distribution, 3) aneurysm candidates detection using end-point and distribution characteristics of the vector, and 4) false positives (FPs) reduction based on linear discriminant analysis (LDA). This method applied to 24 cases with 32 aneurysms and 26 cases without aneurysms. The sensitivity obtained by our computerized scheme for the detection of aneurysms was 100% with 4.5 FPs per patients using end-point and distribution characteristics of the directional vector, and 97% with 1.5 FPs by LDA with three features. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | computer-aided detection / intracranial aneurysm / MRA / directional vector / luminance distribution |
| Paper # | IE2009-35,PRMU2009-26,MI2009-26 |
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| Conference Information | |
| Committee | IE |
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| Conference Date | 2009/5/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Image Engineering (IE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Intracranial aneurysms detection using directional vector of luminance distribution in MRA images |
| Sub Title (in English) | |
| Keyword(1) | computer-aided detection |
| Keyword(2) | intracranial aneurysm |
| Keyword(3) | MRA |
| Keyword(4) | directional vector |
| Keyword(5) | luminance distribution |
| 1st Author's Name | Masahito AOYAMA |
| 1st Author's Affiliation | Graduate School of Information Sciences, Hiroshima City University() |
| 2nd Author's Name | Takuya KUSU |
| 2nd Author's Affiliation | Graduate School of Information Sciences, Hiroshima City University |
| 3rd Author's Name | Masauyki MUKUNOKI |
| 3rd Author's Affiliation | Graduate School of Information Sciences, Hiroshima City University |
| 4th Author's Name | Naoki ASADA |
| 4th Author's Affiliation | Graduate School of Information Sciences, Hiroshima City University |
| 5th Author's Name | Yosuke KOMEDA |
| 5th Author's Affiliation | Saiseikai Kumamoto Hospital |
| 6th Author's Name | Takashi OKIGAWA |
| 6th Author's Affiliation | Saiseikai Kumamoto Hospital |
| 7th Author's Name | Joji URATA |
| 7th Author's Affiliation | Saiseikai Kumamoto Hospital |
| Date | 2009-05-29 |
| Paper # | IE2009-35,PRMU2009-26,MI2009-26 |
| Volume (vol) | vol.109 |
| Number (no) | 63 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |