Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Stanford, CA, USA, June 21-25, 2021, Proceedings
Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Stanford, CA, USA, June 21-25, 2021, Proceedings
复制标题
心脏功能成像和建模 - 第 11 届国际会议，FIMH 2021，美国加利福尼亚州斯坦福，2021 年 6 月 21-25 日，会议记录
DOI：
10.1007/978-3-030-78710-3_60
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Beach M
中科院分区：
文献类型：
--
作者：
Beach M
目前用于研究心房颤动（AF）机制和治疗方法的生物物理心房模型使用成像数据来定义患者特异性解剖结构。模型的电生理学可以使用电解剖测绘（EAM）系统收集的侵入性电数据进行校准。然而，这些EAM数据通常仅在导管消融手术开始后可用，这使得使用个性化生物物理模拟来告知手术过程具有挑战性。在这项研究中，我们首先旨在推导出LGE-MRI强度和EAM传导速度（CV）之间的映射，用于校准患者特异性左心房电生理模型。其次，我们研究了这种校准对模拟心律失常特性的功能影响。为了实现这一目标，我们使用通用心房坐标（UAC）系统对10名患者进行了LGE-MRI和EAM网格注册。然后，我们对这些数据进行后处理，以研究大磁共振成像强度与EAM CV之间的关系。平均心房CV由0.81±0.31 m/s降至0.58±0.18 m/s， LGE-MRI图像强度比（IIR）由< 0.9上升至1.6≤IIR。IIR和CV之间的关系被用于校准50个基于LGE-MRI数据构建的患者特异性模型的电导率。该校准将模拟心律失常期间的平均相位奇点数从2.67±0.94增加到5.15±2.60。
Current biophysical atrial models for investigating atrial fibrillation (AF) mechanisms and treatment approaches use imaging data to define patient-specific anatomy. Electrophysiology of the models can be calibrated using invasive electrical data collected using electroanatomic mapping (EAM) systems. However, these EAM data are typically only available after the catheter ablation procedure has begun, which makes it challenging to use personalised biophysical simulations for informing procedures. In this study, we first aimed to derive a mapping between LGE-MRI intensity and EAM conduction velocity (CV) for calibrating patient-specific left atrial electrophysiology models. Second, we investigated the functional effects of this calibration on simulated arrhythmia properties. To achieve this, we used the Universal Atrial Coordinate (UAC) system to register LGE-MRI and EAM meshes for ten patients. We then post-processed these data to investigate the relationship between LGE-MRI intensities and EAM CV. Mean atrial CV decreased from 0.81 ± 0.31 m/s to 0.58 ± 0.18 m/s as LGE-MRI image intensity ratio (IIR) increased from IIR < 0.9 to 1.6 ≤ IIR. The relationship between IIR and CV was used to calibrate conductivity for a cohort of 50 patient-specific models constructed from LGE-MRI data. This calibration increased the mean number of phase singularities during simulated arrhythmia from 2.67 ± 0.94 to 5.15 ± 2.60.