Dössel Olaf, Krueger Martin W, Weber Frank M, Schilling Christopher, Schulze Walther H W, Seemann Gunnar
Institute of Biomedical Engineering, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:4324-8. doi: 10.1109/IEMBS.2011.6091073.
A framework for step-by-step personalization of a computational model of human atria is presented. Beginning with anatomical modeling based on CT or MRI data, next fiber structure is superimposed using a rule-based method. If available, late-enhancement-MRI images can be considered in order to mark fibrotic tissue. A first estimate of individual electrophysiology is gained from BSPM data solving the inverse problem of ECG. A final adjustment of electrophysiology is realized using intracardiac measurements. The framework is applied using several patient data. First clinical application will be computer assisted planning of RF-ablation for treatment of atrial flutter and atrial fibrillation.
本文提出了一种逐步实现人体心房计算模型个性化的框架。首先基于CT或MRI数据进行解剖建模，接着使用基于规则的方法叠加纤维结构。如果有延迟强化MRI图像，可将其用于标记纤维化组织。通过求解心电图逆问题，从体表电位标测（BSPM）数据中获得个体电生理的初步估计。利用心内测量实现电生理的最终调整。该框架应用于多个患者数据。首次临床应用将是用于心房扑动和心房颤动治疗的射频消融计算机辅助规划。
