Development of diagnostic imaging support system enabling early diagnosis of cerebral infarction by X-ray CT in emergency

2016 Fiscal Year Final Research Report

• Project/Area Number: 26460732
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Medical Physics and Radiological Technology
• Research Institution: Kitasato University
• Principal Investigator: Hara Hidetake 北里大学, 医療衛生学部, 助教 (80381424)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: 脳梗塞 / X線CT / Dual-energy / 逐次近似画像再構成 / 仮想単色画像

Outline of Final Research Achievements

In Japan, cerebrovascular disease is the fourth cause of death and the first cause of bedridden patients. This study aimed to develop a method for image-based diagnosis of cerebral infarction, which has been under serious consideration in recent years.
The conditions required to detect acute cerebral infarction by X-ray computed tomography (CT) were examined, and an image-processing algorithm for infarction visualization was developed. The use of Virtual monochromatic imaging in dual-energy CT was evaluated and Adaptive statistical iterative reconstruction images on this visualization. The results demonstrate the possibility of detecting acute cerebral infarction at its early stage, which is difficult to visualize by X-ray CT.

Free Research Field

診療放射線技術学