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利用重叠部分样本校正自由呼吸腹部磁共振成像中的运动伪影以恢复图像变形

Motion artifact correction in free-breathing abdominal MRI using overlapping partial samples to recover image deformations.

作者信息

White M J, Hawkes D J, Melbourne A, Collins D J, Coolens C, Hawkins M, Leach M O, Atkinson D

机构信息

Centre for Medical Image Computing, University College London, London, United Kingdom.

出版信息

Magn Reson Med. 2009 Aug;62(2):440-9. doi: 10.1002/mrm.22017.

Abstract

This article presents a method to reconstruct liver MRI data acquired continuously during free breathing, without any external sensor or navigator measurements. When the deformations associated with k-space data are known, generalized matrix inversion reconstruction has been shown to be effective in reducing the ghosting and blurring artifacts of motion. This article describes a novel method to obtain these nonrigid deformations. A breathing model is built from a fast dynamic series: low spatial resolution images are registered and their deformations parameterized by overall superior-inferior displacement. The correct deformation for each subset of the subsequent imaging data is then found by comparing a few lines of k-space with the equivalent lines from a deformed reference image while varying the deformation over the model parameter. This procedure is known as image deformation recovery using overlapping partial samples (iDROPS). Simulations using 10 rapid dynamic studies from volunteers showed the average error in iDROPS-derived deformations within the liver to be 1.43 mm. A further four volunteers were imaged at higher spatial resolution. The complete reconstruction process using data from throughout several breathing cycles was shown to reduce blurring and ghosting in the liver. Retrospective respiratory gating was also demonstrated using the iDROPS parameterization.

摘要

本文介绍了一种在自由呼吸过程中连续采集的肝脏磁共振成像(MRI)数据的重建方法,无需任何外部传感器或导航测量。当与k空间数据相关的变形已知时,广义矩阵反演重建已被证明在减少运动的重影和模糊伪影方面是有效的。本文描述了一种获取这些非刚性变形的新方法。通过快速动态序列建立呼吸模型:对低空间分辨率图像进行配准,并通过整体上下位移对其变形进行参数化。然后,通过将k空间的几行与变形参考图像的等效行进行比较,同时在模型参数上改变变形,来找到后续成像数据每个子集的正确变形。这个过程被称为使用重叠部分样本的图像变形恢复(iDROPS)。使用来自志愿者的10项快速动态研究进行的模拟显示,iDROPS得出的肝脏内变形的平均误差为1.43毫米。另外四名志愿者以更高的空间分辨率进行成像。使用来自几个呼吸周期的数据进行的完整重建过程显示,可减少肝脏中的模糊和重影。还使用iDROPS参数化演示了回顾性呼吸门控。

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