-
- 大谷 智仁
- 大阪大学大学院基礎工学研究科
-
- Al-Issa Abdullah
- University of Maryland
-
- Pourmorteza Amir
- National Institute of Health
-
- McVeigh Elliot R.
- University of California, San Diego
-
- 和田 成生
- 大阪大学大学院基礎工学研究科
-
- 足利 洋志
- Johns Hopkins University, School of Medicine
書誌事項
- タイトル別名
-
- 1E32 Personalized Left Atrial Blood Flow Analysis Using Computational Fluid Dynamics
抄録
This study presents a computational framework to perform CT-based, personalized blood flow analysis in human left atrium (LA). Patient-specific LA geometry and function were obtained from the cardiac CT images of a patient acquired during sinus rhythm. A four-dimensional displacement vector field was estimated using a non-rigid registration method. The LA blood outflow across the mitral valve was calculated from LV volume change, and the flow field within the LA was derived from computational fluid dynamics (CFD) using the incompressible Navier-Stokes equation. The global characteristics of the LA motion and blood flow excellently agreed with clinical observations. The personalized blood flow analysis in the LA may be useful to evaluate the flow stasis associated with the risk of the intracardiac thrombosis and stroke.
収録刊行物
-
- バイオエンジニアリング講演会講演論文集
-
バイオエンジニアリング講演会講演論文集 2016.28 (0), _1E32-1_-_1E32-4_, 2016
一般社団法人 日本機械学会
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390282680853545472
-
- NII論文ID
- 110010052073
-
- ISSN
- 24242829
-
- 本文言語コード
- en
-
- データソース種別
-
- JaLC
- Crossref
- CiNii Articles
-
- 抄録ライセンスフラグ
- 使用不可