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

机译:使用迭代运动校正从自由呼吸2D实时图像采集中进行3D心脏电影重建

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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.
机译:MR成像非常适合诊断,治疗和研究影响心脏功能和形态的各种心脏疾病。 MR成像可提供良好的组织对比度,并可实现高空间和时间分辨率。当前大多数MR采集方法都需要在采集过程中屏住呼吸,或采用呼吸门控以避免呼吸运动引起的图像损坏。还应用心脏门控以实现时间分辨采样以进行功能分析。对于患者而言,屏住呼吸可能很困难,并且不规则的运动方式可能会破坏门控方法。实时成像为这两个问题提供了潜在的解决方案,但也带来了自己的挑战。我们提出了一个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量。

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