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采用COMB标记跟踪和超分辨率增强的运动补偿磁共振瓣膜成像。

Motion-compensated MR valve imaging with COMB tag tracking and super-resolution enhancement.

作者信息

Dowsey Andrew W, Keegan Jennifer, Lerotic Mirna, Thom Simon, Firmin David, Yang Guang-Zhong

机构信息

Institute of Biomedical Engineering, Imperial College London SW7 2AZ, UK.

出版信息

Med Image Anal. 2007 Oct;11(5):478-91. doi: 10.1016/j.media.2007.07.002. Epub 2007 Jul 24.

DOI:10.1016/j.media.2007.07.002
PMID:17804277
Abstract

Understanding the morphology and function of heart valves is important to the study of underlying causes of heart failure. Existing techniques such as those based on echocardiography are limited by the relatively low signal-to-noise ratio (SNR), attenuation artefacts, and restricted access. The alternative of cardiovascular MR imaging offers versatility and accuracy in 3D localisation, but is hampered by large movements of the valves throughout the cardiac cycle. This paper presents a motion-compensated adaptive imaging approach for MR valve imaging. To illustrate its clinical potential, 3D motion of the aortic valve plane is first captured through a single breath-hold COMB tag pre-scan and then tracked in real-time with an automatic method based on multi-resolution image registration. Motion-compensated coverage of the aortic valve is then acquired prospectively, thus allowing its clear 3D reconstruction and visualisation. To provide isotropic voxel coverage of the imaging volume, retrospective projection onto convex sets (POCS) super-resolution enhancement is applied to the slice-select direction. In vivo results demonstrate the effectiveness of the proposed motion-compensation and super-resolution schemes for depicting the structure of the valve leaflets throughout the cardiac cycle. The proposed method fundamentally changes the way MR imaging is performed by transforming it from a spatially to materially localised imaging method. This also has important implications for quantifying blood flow and myocardial perfusion, as well as tracking anatomy and function of the heart.

摘要

了解心脏瓣膜的形态和功能对于研究心力衰竭的潜在病因至关重要。现有技术,如基于超声心动图的技术,受到相对较低的信噪比(SNR)、衰减伪影和有限的观察范围的限制。心血管磁共振成像作为替代方法,在三维定位方面具有通用性和准确性,但受到瓣膜在整个心动周期中大幅运动的阻碍。本文提出了一种用于磁共振瓣膜成像的运动补偿自适应成像方法。为了说明其临床潜力,首先通过单次屏气COMB标记预扫描捕获主动脉瓣平面的三维运动,然后使用基于多分辨率图像配准的自动方法进行实时跟踪。然后前瞻性地获取主动脉瓣的运动补偿覆盖范围,从而实现其清晰的三维重建和可视化。为了在成像体积中提供各向同性体素覆盖,将凸集上的回顾性投影(POCS)超分辨率增强应用于切片选择方向。体内结果证明了所提出的运动补偿和超分辨率方案在描绘整个心动周期中叶瓣结构方面的有效性。所提出的方法从根本上改变了磁共振成像的执行方式,将其从空间定位成像方法转变为物质定位成像方法。这对于量化血流和心肌灌注,以及跟踪心脏的解剖结构和功能也具有重要意义。

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