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基于伪 ground truth 的心肌灌注 MRI 非刚体配准。

Pseudo ground truth based nonrigid registration of myocardial perfusion MRI.

机构信息

Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, Republic of Singapore.

出版信息

Med Image Anal. 2011 Aug;15(4):449-59. doi: 10.1016/j.media.2011.02.001. Epub 2011 Feb 16.

Abstract

This paper presents a novel nonrigid registration method for myocardial perfusion magnetic resonance (MR) images. To overcome the rapid intensity change due to contrast enhancement, we propose to register the observed sequence to a pseudo ground truth, which is a motion/noise free sequence that is estimated from the observed one, and having almost identical intensity variations as the original sequence. The pseudo ground truth and the elastic deformation fields for the observed sequence are obtained by minimizing an energy functional integrating both the registration error and the spatiotemporal constraints on the pseudo ground truth in an expectation-maximization framework. We have tested the proposed nonrigid registration method on 20 cardiac perfusion MR scans. The proposed method successfully compensated the elastic deformation of the heart in most scans according to visual validation. For quantitative validation, we propagated manually drawn myocardial contours in one frame to other frames according to the deformation fields obtained by applying different registration methods. The root mean square distance between the propagated contour and the gold standard is 2.11mm if only global translation is compensated, and 1.87mm after nonrigid registration, as compared with 2.80mm for serial demons registration and 2.77mm for a free-form deformation approach using normalized mutual information as the similarity measure, both of which adversely increased the error due to misregistration.

摘要

本文提出了一种新颖的心肌灌注磁共振(MR)图像的非刚性配准方法。为了克服由于对比增强引起的强度快速变化,我们提出将观察到的序列配准到伪真实,这是从观察到的序列估计的无运动/噪声的序列,并且具有与原始序列几乎相同的强度变化。通过在期望最大化框架中最小化集成配准误差和伪真实时空约束的能量函数,获得了伪真实和观察序列的弹性变形场。我们已经在 20 个心脏灌注 MR 扫描上测试了所提出的非刚性配准方法。根据视觉验证,该方法成功地补偿了大多数扫描中心脏的弹性变形。为了定量验证,我们根据应用不同配准方法获得的变形场,将手动绘制的心肌轮廓从一帧传播到另一帧。如果仅补偿全局平移,则传播轮廓与金标准之间的均方根距离为 2.11mm,而在非刚性配准后为 1.87mm,与串行 demons 配准相比,误差增加了 2.80mm,与基于归一化互信息作为相似性度量的自由形态变形方法相比,误差增加了 2.77mm,这两者都由于配准错误而增加了误差。

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