| Project/Area Number |
17K10373
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Radiation science
|
|---|
| Research Institution | Kitasato University |
|---|
Principal Investigator |
GOMI Tsutomu 北里大学, 医療衛生学部, 教授 (10458747)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
鯉淵 幸生 独立行政法人国立病院機構高崎総合医療センター(臨床研究部), 臨床研究部, 臨床研究部長 (10323346)
|
|---|
| Project Period (FY) |
2017-04-01 – 2020-03-31
|
| Project Status |
Completed (Fiscal Year 2019)
|
| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2019: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2017: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
|
|---|
| Keywords | 乳がん / トモシンセシス / 被ばく線量低減 / 放射線 / 被ばく線量 |
|---|
| Outline of Final Research Achievements |
The mortality rate of breast cancer is on the rise, and it is necessary to develop a screening system that improves the detectability of lesions. In our research, we have developed a new digital breast tomosynthesis system, focusing on the image reconstruction algorithm using compressed sensing and unsharp masking in order to improve the detectability of lesions. As a result, it was possible to suggest that the detectability of lesions is improved and the radiation dose is reduced. Our research results will improve the detectability of lesions and reduce the radiation dose, and we would like to develop them for future clinical applications.
|
| Academic Significance and Societal Importance of the Research Achievements |
新たな乳腺デジタルトモシンセシスシステムの開発によって高い病変検出能を有したスライス画像の提供と被ばく線量の低減を示唆したことから、臨床用途としての可能性を示したといえる。さらに、微細病変の検出能向上を実現する検診等のスクリーニング目的で活用できることが期待される。
|
