| Presentation | 2010-11-15 Bayesian modeling of medical X-ray computed tomography Shin-ichi MAEDA, Atsunori KANEMURA, Shin ISHII, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The tradeoff between the resolution of CT images and the amount of exposure to radiation leads us to desire a CT algorithm that can extract maximum information from limited amount of data. We demonstrate that Bayesian inference can be a strong candidate to design such an algorithm and propose a Bayesian CT method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Computed tomography / Bayesian inference / inverse problems |
| Paper # | MI2010-73 |
| Date of Issue |
| Conference Information | |
| Committee | MI |
|---|---|
| Conference Date | 2010/11/8(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) | Bayesian modeling of medical X-ray computed tomography |
| Sub Title (in English) | |
| Keyword(1) | Computed tomography |
| Keyword(2) | Bayesian inference |
| Keyword(3) | inverse problems |
| 1st Author's Name | Shin-ichi MAEDA |
| 1st Author's Affiliation | Graduate School of Informatics, Kyoto University() |
| 2nd Author's Name | Atsunori KANEMURA |
| 2nd Author's Affiliation | ATR Neural Information Analysis Laboratories |
| 3rd Author's Name | Shin ISHII |
| 3rd Author's Affiliation | Graduate School of Informatics, Kyoto University |
| Date | 2010-11-15 |
| Paper # | MI2010-73 |
| Volume (vol) | vol.110 |
| Number (no) | 280 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |