Wang Linwei, Wong Ken C L, Zhang Heye, Shi Pengcheng
Golisano College of Computing and Information Science Rochester Institute of Technology, Rochester, NY, USA.
Med Image Comput Comput Assist Interv. 2008;11(Pt 1):1042-50. doi: 10.1007/978-3-540-85988-8_124.
Identification of infarct substrates provides necessary guidance to the prevention and treatment of cardiac arrhythmias. Compared to diagnostic criteria of body surface potentials (BSP) or electrophysiological information on heart surfaces, the underlying volumetric cardiac electrical activity is of more direct clinical relevance in exhibiting patient-specific arrhythmic dynamics and arrhythmogenic substrates. We have developed a paradigm for noninvasive imaging of volumetric myocardial transmembrane potential from BSPs. In this paper, we present a human study for a patient with acute myocardial infarction. Using patient MRI and BSP data, the framework is able to reconstruct details of the complete arrhythmic electrical activity on the 3D myocardium of the patient. Exploring a subset of the results, the extent, centroid and affected segments of the infarct is correctly evaluated, with comparable performance to existent best results. This human study demonstrates the potential of the presented paradigm as a noninvasive functional imaging technique for patient-specific volumetric cardiac electrical activity in practice.
识别梗死基质为心律失常的预防和治疗提供了必要的指导。与体表电位（BSP）的诊断标准或心脏表面的电生理信息相比，潜在的心脏容积电活动在展示患者特异性心律失常动态和致心律失常基质方面具有更直接的临床相关性。我们已经开发了一种从BSPs对心肌跨膜电位进行无创成像的范例。在本文中，我们展示了一项针对急性心肌梗死患者的人体研究。利用患者的MRI和BSP数据，该框架能够重建患者三维心肌上完整心律失常电活动的细节。通过对部分结果的探索，梗死的范围、质心和受影响节段得到了正确评估，其性能与现有最佳结果相当。这项人体研究证明了所提出的范例作为一种无创功能成像技术在实际中用于患者特异性心脏容积电活动的潜力。
