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A new nonrigid registration approach for motion correction of cardiac first-pass perfusion MRI

机译:一种新的非刚性配准方法,用于心脏首过灌注MRI的运动校正

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Accurate registration of cardiac first-pass magnetic resonance imaging (FP-MRI) is fundamental for precise analysis of myocardial perfusion. In this paper, we introduce and validate a new framework for accurate registration of the segmented left ventricle (LV) wall on cardiac FP-MRI. Due to the continuous physiological motion of the heart that causes the LV wall to change shape significantly and to move within and through the image plane, we developed a new methodology for 2D FP-MRI nonrigid registration that includes: (i) global target-to-reference frame-to-frame alignment based on the maximization of the normalized mutual information (NMI); (ii) local alignment based on using a B-splines transformation model that maximizes a similarity function that accounts for 1st- and 2nd-order NMI between the globally aligned frames followed by (iii) a refinement step that is based on deforming each pixel of the target wall over evolving closed equi-spaced contours (iso-contours) to closely match the reference wall. Respective iso-contours in both reference and target frames are matched based on solving the Laplace equation. We have tested our framework on both synthetic phantoms and 20 in-vivo data sets that have been collected from patients with ischemic damage from heart attacks, who are undergoing a novel myoregeneration therapy.
机译:心脏首过磁共振成像(FP-MRI)的准确配准对于精确分析心肌灌注至关重要。在本文中,我们介绍并验证了在心脏FP-MRI上准确记录分割的左心室(LV)壁的新框架。由于心脏的持续生理运动导致左室壁显着改变形状,并在图像平面内移动并通过图像平面,我们开发了一种用于2D FP-MRI非刚性配准的新方法,其中包括:(i)全局目标-基于归一化互信息(NMI)最大化的参考帧到帧对齐; (ii)基于B样条变换模型的局部对齐,该模型使相似性函数最大化,该相似性函数在全局对齐的帧之间占1 -和2 阶NMI接下来是(iii)细化步骤,该步骤基于使目标墙的每个像素在不断变化的闭合等距轮廓(等高线)上变形以紧密匹配参考墙。基于求解拉普拉斯方程,对参考框架和目标框架中的各个等值线进行匹配。我们已经从合成体模和20种体内数据集中测试了我们的框架,这些数据是从患有心脏病发作缺血性损伤的患者中收集的,这些患者正在接受新型的肌肉再生治疗。

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