Development of a new digital breast tomosynthesis system for improvement of breast cancer detection

2016 Fiscal Year Final Research Report

• Project/Area Number: 26461805
• 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)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: X線 / 癌 / トモシンセシス

Outline of Final Research Achievements

To develop and evaluate a new hybrid statistical iterative reconstruction algorithm to improve image quality and possibly reduce radiation exposure during digital breast tomosynthesis. All radiation doses for new hybrid statistical iterative reconstruction algorithm showed improvement relative to the signal difference-to-noise ratio, and improved contrast when compared with those obtained using conventional algorithms. Therefore, we presume that this new hybrid statistical iterative reconstruction algorithm will enhance the clinical application of digital breast tomosynthesis in medical imaging in which such structures are a focus of interest.

Free Research Field

医歯薬学