| Presentation | 2006-01-28 Automated detection method for architectural distortion based on structure analysis of mammary gland on mammograms Tomoko MATSUBARA, Takanari MAKITA, Yoriko INENAGA, Takeshi HARA, Hiroshi FUJITA, Tokiko ENDO, Takuji IWASE, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The clustered microcalcifications and mass are the important findings in interpreting breast cancer, architectural distortion on mammograms as well. We have developed the detection algorithm for distorted area based on concentration of mammary gland. However, it was found that the extraction accuracy of mammary gland was not good enough in the visual evaluation. The purpose of this study is to suggest the improvement of extraction method of mammary gland in order to achieve higher sensitivity. The mean curvature, and the combination of shape index and curvedness were performed for extracting of mammary gland in our previous methods. In our new method, the dynamic-range compression was added as the pre-processing before extracting mammary gland by mean curvature. The detection rate at initial pick-up stage was improved by this improvement. It was concluded that our detection method would be effective. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | mammogram / architectural distortion / computer-aided diagnosis / automated detection / image analysis |
| Paper # | MI2005-120 |
| Date of Issue |
| Conference Information | |
| Committee | MI |
|---|---|
| Conference Date | 2006/1/21(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) | Automated detection method for architectural distortion based on structure analysis of mammary gland on mammograms |
| Sub Title (in English) | |
| Keyword(1) | mammogram |
| Keyword(2) | architectural distortion |
| Keyword(3) | computer-aided diagnosis |
| Keyword(4) | automated detection |
| Keyword(5) | image analysis |
| 1st Author's Name | Tomoko MATSUBARA |
| 1st Author's Affiliation | Nagoya Bunri University() |
| 2nd Author's Name | Takanari MAKITA |
| 2nd Author's Affiliation | Faculty of Engineering, Gifu University |
| 3rd Author's Name | Yoriko INENAGA |
| 3rd Author's Affiliation | Konica Minolta Medical & Graphic, Inc |
| 4th Author's Name | Takeshi HARA |
| 4th Author's Affiliation | Graduate School of Medicine, Gifu University |
| 5th Author's Name | Hiroshi FUJITA |
| 5th Author's Affiliation | Graduate School of Medicine, Gifu University |
| 6th Author's Name | Tokiko ENDO |
| 6th Author's Affiliation | National Hospital Organization Nagoya Medical Center |
| 7th Author's Name | Takuji IWASE |
| 7th Author's Affiliation | The Cancer Institute Hospital of JFCR |
| Date | 2006-01-28 |
| Paper # | MI2005-120 |
| Volume (vol) | vol.105 |
| Number (no) | 580 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |