3D cardiac cine reconstruction from free-breathing 2D real-time image acquisitions using iterative motion correction

Martin Jantsch, D. Rueckert, A. Price, J. Hajnal
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引用次数: 1

Abstract

MR imaging is well suited for diagnosis, treatment and study of various cardiac diseases affecting the functionality and morphology of the heart. MR imaging provides good tissue contrast and can achieve high spatial and temporal resolution. Most current MR acquisition methods require breath-holds during the acquisition or employ respiratory gating to avoid image corruption caused by respiratory motion. Also cardiac gating is applied to achieve time resolved sampling for functional analysis. Breath-holds can be difficult for patients and gating methods can be undermined by irregular motion patterns. Real-time imaging offers a potential solution to both these issues, but poses its own challenges. We present initial results for a reconstruction pipeline that takes multiple stacks of 2D real-time, short-axis images acquired during free-breathing and computes the respiratory deformations to reconstruct a coherent 3D+t volume of the beating heart.
利用迭代运动校正从自由呼吸的二维实时图像采集中重建三维心脏电影
磁共振成像非常适合于各种影响心脏功能和形态的心脏病的诊断、治疗和研究。磁共振成像提供了良好的组织对比度,可以实现高的空间和时间分辨率。目前大多数磁共振成像采集方法在采集过程中需要屏气或采用呼吸门控来避免呼吸运动引起的图像损坏。此外,心脏门控应用于实现时间分辨采样功能分析。对病人来说,屏气可能很困难,而且不规律的运动模式会破坏门控方法。实时成像技术为这两个问题提供了一个潜在的解决方案,但也带来了一些挑战。我们展示了重建管道的初步结果,该管道需要在自由呼吸期间获取多个2D实时短轴图像堆栈,并计算呼吸变形以重建跳动心脏的连贯3D+t体积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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