Methodology for patient-specific modeling of atrial fibrosis as a substrate for atrial fibrillation

详细信息    查看全文

• 作者：Kathleen S. McDowell ; BS^a ; ^{kmcdowe4@jhmi.edu} ; Fijoy Vadakkumpadan ; PhD^a ; Robert Blake ; MSC^a ; Joshua Blauer ; BS^b ; Gernot Plank ; PhD^c ; Rob S. MacLeod ; PhD^b ; Natalia A. Trayanova ; PhD^a
• 关键词：Patient-specific modeling ; Computational model ; Atrial fibrillation ; Atrial fibrosis
• 刊名：Journal of Electrocardiology
• 出版年：2012
• 出版时间：November-December, 2012
• 年：2012
• 卷：45
• 期：6
• 页码：640-645
• 全文大小：735 K

文摘

Personalized computational cardiac models are emerging as an important tool for studying cardiac arrhythmia mechanisms, and have the potential to become powerful instruments for guiding clinical anti-arrhythmia therapy. In this article, we present the methodology for constructing a patient-specific model of atrial fibrosis as a substrate for atrial fibrillation. The model is constructed from high-resolution late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) images acquired in vivo from a patient suffering from persistent atrial fibrillation, accurately capturing both the patient's atrial geometry and the distribution of the fibrotic regions in the atria. Atrial fiber orientation is estimated using a novel image-based method, and fibrosis is represented in the patient-specific fibrotic regions as incorporating collagenous septa, gap junction remodeling, and myofibroblast proliferation. A proof-of-concept simulation result of reentrant circuits underlying atrial fibrillation in the model of the patient's fibrotic atrium is presented to demonstrate the completion of methodology development.