Integration of electro-anatomical and imaging data of the left ventricle: An evaluation framework
Integration of electro-anatomical and imaging data of the left ventricle: An evaluation framework
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DOI：
10.1016/j.media.2016.03.010
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发表时间：
2016-08-01
影响因子：
10.9
通讯作者：
Camara, Oscar
中科院分区：
文献类型：
--
作者：
Soto-Iglesias, David;Butakoff, Constantine;Camara, Oscar
整合左心室（LV）疤痕特征的电学和结构信息是更好地指导射频消融治疗的关键一步，射频消融治疗通常在复杂的室性心动过速（VT）病例中进行。这种集成需要找到一种通用的表示形式，以映射来自电解剖图 (EAM) 表面的电信息和来自延迟增强磁共振图像 (DE-MRI) 的组织活力信息。然而，由于缺乏适当的评估框架来评估其准确性，一致的集成方法的开发仍然是一个悬而未决的问题。在本文中，我们提出了：（i）一个评估框架，用于使用模拟 EAM 数据和一组全局和局部测量来评估 EAM 和成像集成策略的准确性； (ii) 一种基于平面圆盘表示的新集成方法，其中通过展平对 LV 表面网格进行准共形映射 (QCM)，从而允许同时可视化和联合分析多模态数据。应用开发的评估框架来评估基于 QCM 的集成策略在 128 个综合生成的地面实况案例的基准数据集上的准确性，这些案例呈现不同的疤痕配置和 EAM 特征。获得的结果表明，相对于最先进的集成技术，全局重叠误差显着减少（50-100%），并且更好地保留了小结构（例如疤痕中的传导通道）的局部拓扑。来自 17 名 VT 患者的数据也被用来研究 QCM 技术在临床环境中的可行性，在存在稀疏和嘈杂的临床数据的情况下，始终优于替代集成技术。所提出的评估框架可以对不同的 EAM 和成像数据集成策略进行严格比较，为更好地指导复杂心脏干预的临床实践提供有用的信息。 (C) 2016 Elsevier B.V. 保留所有权利。
Integration of electrical and structural information for scar characterization in the left ventricle (LV) is a crucial step to better guide radio-frequency ablation therapies, which are usually performed in complex ventricular tachycardia (VT) cases. This integration requires finding a common representation where to map the electrical information from the electro-anatomical map (EAM) surfaces and tissue viability information from delay-enhancement magnetic resonance images (DE-MRI). However, the development of a consistent integration method is still an open problem due to the lack of a proper evaluation framework to assess its accuracy. In this paper we present both: (i) an evaluation framework to assess the accuracy of EAM and imaging integration strategies with simulated EAM data and a set of global and local measures; and (ii) a new integration methodology based on a planar disk representation where the LV surface meshes are quasi-conformally mapped (QCM) by flattening, allowing for simultaneous visualization and joint analysis of the multi-modal data. The developed evaluation framework was applied to estimate the accuracy of the QCM-based integration strategy on a benchmark dataset of 128 synthetically generated ground-truth cases presenting different scar configurations and EAM characteristics. The obtained results demonstrate a significant reduction in global overlap errors (50-100%) with respect to state-of-the-art integration techniques, also better preserving the local topology of small structures such as conduction channels in scars. Data from seventeen VT patients were also used to study the feasibility of the QCM technique in a clinical setting, consistently outperforming the alternative integration techniques in the presence of sparse and noisy clinical data. The proposed evaluation framework has allowed a rigorous comparison of different EAM and imaging data integration strategies, providing useful information to better guide clinical practice in complex cardiac interventions. (C) 2016 Elsevier B.V. All rights reserved.