标题： 无需对比的电影MRI中使用运动和纹理融合的心肌瘢痕分割 显示英文标题

标题： Contrast-Free Myocardial Scar Segmentation in Cine MRI using Motion and Texture Fusion

摘要： 晚期钆增强磁共振成像（LGE MRI）是检测心肌梗死后心肌瘢痕的金标准。 LGE MRI需要注射造影剂，这可能带来副作用，并增加扫描时间和患者的不适感。 为了解决这些问题，我们提出了一种新的框架，该框架结合了电影MRI中观察到的心脏运动和图像纹理信息，以分割左心室的心肌和瘢痕组织。 心脏运动跟踪可以被表述为一个完整的心脏图像周期配准问题，可以通过深度神经网络解决。 实验结果证明，所提出的方法可以在非对比电影图像上实现与LGE MRI相当准确的瘢痕分割。 这表明它在瘢痕检测方面作为对比增强技术的替代方法具有潜力。 显示英文摘要

摘要： Late gadolinium enhancement MRI (LGE MRI) is the gold standard for the detection of myocardial scars for post myocardial infarction (MI). LGE MRI requires the injection of a contrast agent, which carries potential side effects and increases scanning time and patient discomfort. To address these issues, we propose a novel framework that combines cardiac motion observed in cine MRI with image texture information to segment the myocardium and scar tissue in the left ventricle. Cardiac motion tracking can be formulated as a full cardiac image cycle registration problem, which can be solved via deep neural networks. Experimental results prove that the proposed method can achieve scar segmentation based on non-contrasted cine images with comparable accuracy to LGE MRI. This demonstrates its potential as an alternative to contrast-enhanced techniques for scar detection.