Novel algorithm for improved contrast enhanced cardiac MRI

项目摘要 心肌首过灌注和晚期钆增强（LGE）方案是关键 大多数临床心脏MRI检查的组成部分。当前MRI方案的局限性 常常使得同时实现高时空分辨率具有挑战性， 足够的空间覆盖，以及良好的图像质量，在第一次通过灌注MRI，使它 很难解释结果。同样，大量的屏气和长时间的屏气 持续时间通常使LGE采集对许多患者具有挑战性， 运动伪影和降低的患者吞吐量。在这种情况下，有一个直接的临床 需要一种新的动态成像框架，可以实现自由呼吸采集， 在不降低质量的情况下，显著提高了时空分辨率和覆盖范围。 该提案的主要目标是开发一种新的动态成像框架， 可以实现自由呼吸心脏MRI，并以最小的伪影显著加速它。 我们最近引入了一种新的正则化重建算法， 加速自由呼吸动态MRI数据。算法的初步验证 证明了所提出的计划，以提供高达11加速度的能力 有轻微的伪影这一建议的主要重点是进一步完善k-t单反 方案，并将其用于实现高分辨率的临床心肌灌注和自由呼吸 LGE MRI。成功完成拟议的研究将提供定量的 灌注估计的时间分辨率为一次心跳，空间分辨率为 0.15x0.15x0.8 cc从整个心脏，这是一个四倍的改善电流 阴谋同样，我们希望通过放松， 屏气要求和减少LGE MRI数据的扫描时间。这些 这些发展是相当重要的，并将大大推进本领域的发展水平， 对比增强的CMRI所提出的算法是一个从根本上背离经典的 依赖于x-f空间稀疏性的方法。此外，我们还引入了非凸谱 先验，并另外利用动态图像的稀疏性来进一步改进数据 保真度和加速率。因此，拟议计划极具创新性，其影响 它将超越具体的应用。我们的队伍完全有资格表演 由于我们的专业知识的综合范围和广度（包括 信号/图像处理、MR物理学、放射学和心脏病学），除了广泛的 初步数据。

Project Summary Myocardial first-pass perfusion and late gadolinium enhancement (LGE) schemes are key components of most clinical cardiac MRI exams. The limitations of current MRI schemes often makes it challenging to simultaneously achieve high spatio-temporal resolution, sufficient spatial coverage, and good image quality in first-pass perfusion MRI, making it difficult to interpreting the results. Similarly, the large number of breath-holds and their long duration often makes LGE acquisitions challenging for many patients, resulting in significant motion artifacts and reduced patient throughput. In this context, there is an immediate clinical need for a novel dynamic imaging framework that can enable free-breathing acquisitions and considerably improve spatio-temporal resolution and coverage, without degrading the quality. The main objective of this proposal is to develop a novel dynamic imaging framework, which can enable free-breathing cardiac MRI and significantly accelerate it with minimal artifacts. We recently introduced a novel regularized reconstruction algorithm to significantly accelerate free-breathing dynamic MRI data. Preliminary validations of the algorithm demonstrated the ability of the proposed scheme to provide accelerations of up-to eleven fold with minor artifacts. The main focus of this proposal is to further improve the k-t SLR scheme and use it to realize high-resolution clinical myocardial perfusion and free-breathing LGE MRI. The successful completion of the proposed research will provide quantitative perfusion estimates with a temporal resolution of one heartbeat and spatial resolution of 0.15x0.15x0.8 ccfrom the entire heart, which is a four-fold improvement over current schemes. Similarly, we expect to considerably improve the patient compliance by relaxing the breath-holding requirement and reducing the scan time in LGE MRI data. These developments are quite significant and will considerably advance the state of the art in contrast-enhanced CMRI. The proposed algorithm is a radical departure from the classical approaches that rely on x-f space sparsity. In addition, we introduce non-convex spectral priors and additionally exploit the sparsity of the dynamic images to further improve the data fidelity and acceleration rate. Thus, the proposed scheme is highly innovative and its impact is expected to extend beyond the specific applications. Our team is well qualified to perform the proposed research because of our combined scope and breadth in expertise (including signal/image processing, MR physics, radiology, and cardiology), in addition to the extensive preliminary data.