Correcting motion in multiplanar cardiac magnetic resonance images.
Correcting motion in multiplanar cardiac magnetic resonance images.
复制标题
校正多平面心脏磁共振图像中的运动
DOI：
10.1186/s12938-016-0216-8
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发表时间：
2016-08-08
影响因子：
3.9
通讯作者：
Zhong L
中科院分区：
文献类型：
--
作者：
Wan M;Huang W;Zhang JM;Zhao X;Allen JC;Tan RS;Wan X;Zhong L
背景心脏磁共振（CMR）图像中的错位会对左心室三维建模和下游定量分析产生不利影响。目前，有两种类型的方法来处理重新对齐和运动失真的问题，一个基于图像和其他几何基础。基于图像的方法受到CMR图像固有的非均匀性和各向异性的限制。基于几何的方法依赖于理想化的模型和过于简化的假设。这项研究的动机是需要一个强大的和有效的方法来纠正由于CMR images.MethodsA电影心脏磁共振图像序列中的不对齐的运动相关的失真，获得使用我们的常规临床成像协议。在所有长轴和短轴图像上使用软件辅助手动描绘左心室内膜。将长轴和短轴轮廓投影到基于患者的坐标系上，然后使用迭代配准重新对齐。重新排列的轮廓点被用来重建左心室的形状进行定量validation.ResultsThe方法进行了测试，对5个心肌梗死患者的图像显示大量的错位。使用2.5GHz的CPU台式机，每个案例的重新对准时间约为16秒，明显消除了重建模型中的失真。使用的长轴轮廓作为参考，在评估重建的models，很明显，模型与重新排列的轮廓有更好的准确性比non-realigned的thes.ConclusionThis研究提出了一种新的，几何为基础的方法校正CMR图像中的运动失真。该方法包括（1）手动描绘，（2）基于广义迭代最近点算法的配准，以及（3）重建左心室形状以进行定量验证。我们的方法的有效性证实了视觉和定量评估。我们设想在当前的临床实践中使用我们的方法作为提高心功能评价准确性的一种手段。
BackgroundMisalignment in cardiac magnetic resonance (CMR) images can adversely affect three-dimensional left ventricle modelling and downstream quantitative analysis. Currently, there are two types of approaches for dealing with realignment and motion distortion problems, one image based and the other geometry based. Image-based approaches are limited by the inherent non-homogeneity and anisotropy of CMR images. Geometry-based approaches rely on idealized models and over-simplified assumptions. This study was motivated by the need for a robust and effective approach for correcting motion related distortions due to misalignment in CMR images.MethodsA cine cardiac magnetic resonance image sequence was acquired using our routine clinical imaging protocol. The left ventricular endocardium was delineated manually with software assistance on all long and short-axis images. Long and short-axis contours were projected onto a patient-based coordinate system and then realigned using iterative registration. The realigned contour points were used to reconstruct the shape of the left ventricle for quantitative validation.ResultsThe method was tested on five myocardial infarction patients whose images showed substantial misalignment. Realignment time was about 16 seconds per case, using a 2.5 GHz CPU desktop with obvious elimination of the distortion in the reconstructed model. Using the long-axis contour as a reference in evaluating the reconstructed models, it was apparent that the models with realigned contours had better accuracy than the non-realigned ones.ConclusionThis study presents a novel, geometry-based method for correcting motion distortions in CMR images. The method incorporates (1) manual delineation, (2) registration based on a generalized, iterative closest point algorithm, and (3) reconstruction of the shape of the left ventricle for quantitative validation. The effectiveness of our approach is corroborated both visually and by quantitative assessment. We envision the use of our method in current clinical practice as a means of improving accuracy in the evaluation of cardiac function.
一种几何方法，用于自动形状恢复左心室。
影响因子：
3.7
作者：
Tan ML;Su Y;Lim CW;Selvaraj SK;Zhong L;Tan RS
通讯作者：
Tan RS