- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Automatic Translation feature is available on CiNii Labs
- Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
CT temporal subtraction method for diagnosis in chest imaging
-
- Aoki Takatoshi
- Principal Investigator
- 産業医科大学
-
- 興梠 征典
- Co-Investigator
- 産業医科大学
-
- 金 亨燮
- Co-Investigator
- 九州工業大学
About This Project
- Japan Grant Number
- JP26461842 (JGN)
- Funding Program
- Grants-in-Aid for Scientific Research
- Funding Organization
- Japan Society for the Promotion of Science
Kakenhi Information
- Project/Area Number
- 26461842
- Research Category
- Grant-in-Aid for Scientific Research (C)
- Allocation Type
-
- Multi-year Fund
- Review Section / Research Field
-
- Biological Sciences > Medicine, Dentistry, and Pharmacy > Clinical internal medicine > Radiation science
- Research Institution
-
- University of Occupational and Environmental Health, Japan
- Project Period (FY)
- 2014-04-01 〜 2017-03-31
- Project Status
- Completed
- Budget Amount*help
- 2,470,000 Yen (Direct Cost: 1,900,000 Yen Indirect Cost: 570,000 Yen)
Research Abstract
Temporal subtraction (TS) technique is one of the coputer-aided-diagnosis techniques in which a previous image is subtracted from a current image so that interval changes are enhanced. We have developed a TS method in successive CTs using a new local matching technique to determine local shift vectors based on a vector convergent index from generalized gradient vector flow algorithms in order to significantly reduce misregistration artifacts. The novel CT temporal subtraction method can assist the radiologists’ interpretation for early lung cancer showing ground-glass opacity and small lung nodule detection without considerably extending the reading time.
Keywords
Details 詳細情報について
-
- CRID
- 1040282257281206528
-
- Text Lang
- ja
-
- Data Source
-
- KAKEN