Real-time detection of acute cerebral infarction and cerebrovascular abnormalities

2020 Fiscal Year Final Research Report

• Project/Area Number: 19K17266
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 52040:Radiological sciences-related
• Research Institution: Kyoto University
• Principal Investigator: Nakajima Satoshi 京都大学, 医学研究科, 特定病院助教 (80830091)
• Project Period (FY): 2019-04-01 – 2021-03-31
• Keywords: 拡散強調画像 / 急性期脳梗塞

Outline of Final Research Achievements

Diffusion-weighted imaging of brain MRI is a very useful imaging method that depicts acute cerebral infarction as high signal. In order to improve the real-time detectability, we found a new study item that we need to investigate how to reduce artifacts. Diffusion-weighted imaging with silent technology was suggested to be useful in terms of lesion detection and artifact frequency. The usefulness of diffusion-weighted images with low image distortion was also confirmed. To construct a real-time detection system for acute stroke, we created a diffusion-weighted image map of healthy subjects in standard brain space using the healthy database of our institution, and prepared an environment to statistically compare the diffusion-weighted image with that of acute stroke patients.

Free Research Field

放射線医学

Academic Significance and Societal Importance of the Research Achievements

急性期脳梗塞を高信号として描出できる脳MRIの拡散強調画像を複数の種類において評価した。静音化技術の備わった拡散強調画像については、病変の検出能やアーチファクトの頻度の観点から、その有用性を明らかにした。画像の歪みの少ない拡散強調画像についても、その有用性を確認した。急性期脳梗塞所見のリアルタイム検出に向けて、将来に繋がる研究成果が得られた。