| Presentation | 2001/1/18 Development of a skeletonizing algorithm and its application to cancer detection Hiroshi Hanaizumi, Kenji Ohmori, Takahiro Nakagawa, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The helical CT is very powerful tool to detect lung cancers. The helical CT, however, outputs a lot of slice images to be examined for a patient. Increase of number of images to be examined may cause miss detection of cancers. On the other hand, rapid development of multi-slice CT provides us very high resolution 3D images and huge number of images to be examined. An efficient screening system has been required for improving the efficiency and the accuracy of the examination. We consider that multi-temporal processing of 3D lung images, i.e.change detection between blood vessel images is one of the solutions to make efficient screening. Here, we propose a skeletonizing algorithm for blood vessel recognition. Higher level comparison of blood vessels using skeleton matching will enables us to register 3D blood vessel images whose shapes are distorted by breathing. The validity of the proposed algorithm was confirmed by numerical simulation. The application results of the algorithm to the actual 3D blood vessel image were also shown. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Helical CT / Screening / Inscribe ball / Skeleton / Trachea / Blood vessel |
| Paper # | MI2000-66 |
| Date of Issue |
| Conference Information | |
| Committee | MI |
|---|---|
| Conference Date | 2001/1/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Medical Imaging (MI) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Development of a skeletonizing algorithm and its application to cancer detection |
| Sub Title (in English) | |
| Keyword(1) | Helical CT |
| Keyword(2) | Screening |
| Keyword(3) | Inscribe ball |
| Keyword(4) | Skeleton |
| Keyword(5) | Trachea |
| Keyword(6) | Blood vessel |
| 1st Author's Name | Hiroshi Hanaizumi |
| 1st Author's Affiliation | Faculty of Computer and Information Science, Hosei University() |
| 2nd Author's Name | Kenji Ohmori |
| 2nd Author's Affiliation | Faculty of Computer and Information Science, Hosei University |
| 3rd Author's Name | Takahiro Nakagawa |
| 3rd Author's Affiliation | Faculty of Computer and Information Science, Hosei University |
| Date | 2001/1/18 |
| Paper # | MI2000-66 |
| Volume (vol) | vol.100 |
| Number (no) | 596 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |