Establishment of growth prediction model of aortic aneurysm by integrating morphological images and computational fluid dynamics

2021 Fiscal Year Final Research Report

• Project/Area Number: 19K17163
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 52040:Radiological sciences-related
• Research Institution: Chiba University
• Principal Investigator: KUBOTA Yoshihiro 千葉大学, 医学部附属病院, 特任助教 (30836177)
• Project Period (FY): 2019-04-01 – 2022-03-31
• Keywords: 4D flow MRI / CFD / 大動脈瘤

Outline of Final Research Achievements

In this study, we retrospectively refered to the initial CT or MRI images of aneurysms that tended to grow and the images that did not tend to grow and examine the internal blood flow using the methods of computational fluid dynamics (CFD). We attempted to evaluate the association with aneurysm enlargement due to differences in blood flow.
Since it took an enormous amount of time to evaluate internal blood flow by CFD, we investigated a method of imaging 4D flow MRI from past CT / MRI images with a blood vessel model and a pulsatile pump. The internal blood flow was reproduced and imaged by 4D flow MRI. The obtained results were compared with the angiographic findings, and the results were comparable. In addition, it was possible to analyze the blood flow in the aneurysm in a shorter time than CFD. We are aiming to verify the validity of 4D flow analysis of the blood vessel model and publish it as a paper.

Free Research Field

血流解析

Academic Significance and Societal Importance of the Research Achievements

動脈瘤の増大予測において増大初期の動脈瘤内の血行動態を評価しするために血管モデルを用いた4D flow MRIの撮像を行なった。解析結果の妥当性の検証は引き続き必要だが、過去の形態画像から4D flow MRIを撮像し、内部血流の評価ができることは、今後の動脈瘤の血流解析において重要な手法となると考える。