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比较加权算法以减轻自由呼吸新生儿肺部放射状 UTE-MRI 中的呼吸运动。

Comparison of weighting algorithms to mitigate respiratory motion in free-breathing neonatal pulmonary radial UTE-MRI.

机构信息

Center for Pulmonary Imaging Research, Division of Pulmonary Medicine and Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States of America.

Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States of America.

出版信息

Biomed Phys Eng Express. 2024 Apr 18;10(3). doi: 10.1088/2057-1976/ad3cdd.

Abstract

. Thoracoabdominal MRI is limited by respiratory motion, especially in populations who cannot perform breath-holds. One approach for reducing motion blurring in radially-acquired MRI is respiratory gating. Straightforward 'hard-gating' uses only data from a specified respiratory window and suffers from reduced SNR. Proposed 'soft-gating' reconstructions may improve scan efficiency but reduce motion correction by incorporating data with nonzero weight acquired outside the specified window. However, previous studies report conflicting benefits, and importantly the choice of soft-gated weighting algorithm and effect on image quality has not previously been explored. The purpose of this study is to map how variable soft-gated weighting functions and parameters affect signal and motion blurring in respiratory-gated reconstructions of radial lung MRI, using neonates as a model population.. Ten neonatal inpatients with respiratory abnormalities were imaged using a 1.5 T neonatal-sized scanner and 3D radial ultrashort echo-time (UTE) sequence. Images were reconstructed using ungated, hard-gated, and several soft-gating weighting algorithms (exponential, sigmoid, inverse, and linear weighting decay outside the period of interest), with %Nrepresenting the relative amount of data included. The apparent SNR (aSNR) and motion blurring (measured by the maximum derivative of image intensity at the diaphragm, MDD) were compared between reconstructions.. Soft-gating functions produced higher aSNR and lower MDD than hard-gated images using equivalent %N, as expected. aSNR was not identical between different gating schemes for given %N. While aSNR was approximately linear with %Nfor each algorithm, MDD performance diverged between functions as %Ndecreased. Algorithm performance was relatively consistent between subjects, except in images with high noise.. The algorithm selection for soft-gating has a notable effect on image quality of respiratory-gated MRI; the timing of included data across the respiratory phase, and not simply the amount of data, plays an important role in aSNR. The specific soft-gating function and parameters should be considered for a given imaging application's requirements of signal and sharpness.

摘要

. 胸腹部 MRI 受到呼吸运动的限制,尤其是对于无法进行屏气的人群。一种减少径向采集 MRI 中运动模糊的方法是呼吸门控。简单的“硬门控”仅使用指定呼吸窗内的数据,因此会降低 SNR。提出的“软门控”重建可以提高扫描效率,但通过包含指定窗内之外的具有非零权重的数据来减少运动校正。然而,以前的研究报告显示出相互矛盾的益处,重要的是,软门控加权算法的选择及其对图像质量的影响以前尚未得到探索。本研究的目的是使用新生儿作为模型人群,绘制可变软门控加权函数和参数如何影响呼吸门控径向肺 MRI 重建中的信号和运动模糊。. 十名患有呼吸异常的新生儿住院患者使用 1.5 T 新生儿大小的扫描仪和 3D 径向超短回波时间(UTE)序列进行成像。使用未门控、硬门控和几种软门控加权算法(指数、 sigmoid、逆和在线性加权衰减之外的时间段)对图像进行重建,%N 表示包含的数据相对量。比较重建图像之间的表观 SNR(aSNR)和运动模糊(通过膈肌处图像强度的最大导数测量,MDD)。. 与硬门控图像相比,使用等效%N 的软门控函数产生更高的 aSNR 和更低的 MDD,这是预期的。对于给定的%N,不同门控方案之间的 aSNR 并不相同。虽然对于每个算法,aSNR 与%N 大致呈线性关系,但在%N 降低时,函数之间的 MDD 性能会出现分歧。算法性能在受试者之间相对一致,除了高噪声图像之外。. 用于软门控的算法选择对呼吸门控 MRI 的图像质量有显著影响;跨呼吸相位包含数据的时间,而不仅仅是数据量,在 SNR 中起着重要作用。对于给定的成像应用对信号和锐度的要求,应考虑特定的软门控函数和参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f56/11182662/e6a0c6a46363/nihms-1997535-f0001.jpg

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