| Presentation | 2001/9/7 A Segmentation Method for CT Images of Livers based on Entropy Minimization of Pixel Density Distribution Masaki ISHIGURO, Ichiro MURASE, Shingo INOUE, Noriyuki MORIYAMA, Ryuzo SEKIGUCHI, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose an image segmentation method based on gradient of pixel intensity in CT images of livers and show some experimental results. Image segmentation for tumors in CT images of libers based on edge detection is difficult, because difference of pixel intensity between tumors and other regions is small compared with cases in other organs, and because tumors in liver contains mosaic structure. In order to improves the traditional segmentation method based on minimization of entropy CT pixel intensity, we define a three-dimensional density distribution of pixels composed of x, y-axis and axis of CT intensity. By minimizing this density distribution, we can obtain segments whose thresholds are determined based oh gradient of boundary of tumors in various positions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Segmentation / Entropy / Edge Detection / Pattern Recognition / Liver Tumors / CT Images |
| Paper # | MI2001-39 |
| Date of Issue |
| Conference Information | |
| Committee | MI |
|---|---|
| Conference Date | 2001/9/7(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) | A Segmentation Method for CT Images of Livers based on Entropy Minimization of Pixel Density Distribution |
| Sub Title (in English) | |
| Keyword(1) | Segmentation |
| Keyword(2) | Entropy |
| Keyword(3) | Edge Detection |
| Keyword(4) | Pattern Recognition |
| Keyword(5) | Liver Tumors |
| Keyword(6) | CT Images |
| 1st Author's Name | Masaki ISHIGURO |
| 1st Author's Affiliation | Information Technologies Research Dept., Mitsubishi Research Institute, Inc() |
| 2nd Author's Name | Ichiro MURASE |
| 2nd Author's Affiliation | Information Technologies Research Dept., Mitsubishi Research Institute, Inc |
| 3rd Author's Name | Shingo INOUE |
| 3rd Author's Affiliation | Information Technologies Research Dept., Mitsubishi Research Institute, Inc |
| 4th Author's Name | Noriyuki MORIYAMA |
| 4th Author's Affiliation | Diagnostic Radiology Division, National Cancer Center |
| 5th Author's Name | Ryuzo SEKIGUCHI |
| 5th Author's Affiliation | Department of Radiology, National Cancer Center Hospital East |
| Date | 2001/9/7 |
| Paper # | MI2001-39 |
| Volume (vol) | vol.101 |
| Number (no) | 310 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |