Department of Radiology, Columbia University, 630 W 168th, Street, New York, NY, 10032, USA.
Institute of Computational Medicine, Johns Hopkins University, Baltimore, MD, 21218, USA.
Comput Biol Med. 2019 Oct;113:103382. doi: 10.1016/j.compbiomed.2019.103382. Epub 2019 Aug 6.
Cardiac abnormalities, a major cause of morbidity and mortality, affect millions of people worldwide. Despite the urgent clinical need for early diagnosis, there is currently no noninvasive technique that can infer to the electrical function of the whole heart in 3D and thereby localize abnormalities at the point of care. Here we present a new method for noninvasive 4D mapping of the cardiac electromechanical activity in a single heartbeat for heart disease characterization such as arrhythmia and infarction. Our novel technique captures the 3D activation wave of the heart in vivo using high volume-rate (500 volumes per second) ultrasound with a 32 × 32 matrix array. Electromechanical activation maps are first presented in a normal and infarcted cardiac model in silico and in canine heart during pacing and re-entrant ventricular tachycardia in vivo. Noninvasive 4D electromechanical activation mapping in a healthy volunteer and a heart failure patient are also determined. The technique described herein allows for direct, simultaneous and noninvasive visualization of electromechanical activation in 3D, which provides complementary information on myocardial viability and/or abnormality to clinical imaging.
心脏异常是全球数百万人患病和死亡的主要原因。尽管临床急需早期诊断,但目前尚无非侵入性技术可以在 3D 中推断整个心脏的电功能,从而在现场定位异常。在这里,我们提出了一种新的方法,可在单次心跳中对心脏的机电活动进行非侵入性的 4D 映射,从而对心律失常和梗塞等心脏病进行特征描述。我们的新技术使用具有 32×32 矩阵阵列的高容量率(每秒 500 个体积)超声来在体内捕获心脏的 3D 激活波。机电激活图首先在正常和梗塞的心脏模型中进行了数值模拟,并在体内起搏和折返性室性心动过速期间对犬心进行了演示。还确定了健康志愿者和心力衰竭患者的非侵入性 4D 机电激活映射。本文所述的技术允许直接、同时和非侵入性地在 3D 中可视化机电激活,这为临床成像提供了关于心肌活力和/或异常的补充信息。