Medical Physics Graduate Program, Duke University, Durham, North Carolina, USA.
Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Magn Reson Med. 2022 Aug;88(2):802-816. doi: 10.1002/mrm.29254. Epub 2022 May 4.
To correct for RF inhomogeneity for in vivo Xe ventilation MRI using flip-angle mapping enabled by randomized 3D radial acquisitions. To extend this RF-depolarization mapping approach to create a flip-angle map template applicable to arbitrary acquisition strategies, and to compare these approaches to conventional bias field correction.
RF-depolarization mapping was evaluated first in digital simulations and then in 51 subjects who had undergone radial Xe ventilation MRI in the supine position at 3T (views = 3600; samples/view = 128; TR/TE = 4.5/0.45 ms; flip angle = 1.5; FOV = 40 cm). The images were corrected using newly developed RF-depolarization and templated-based methods and the resulting quantitative ventilation metrics (mean, coefficient of variation, and gradient) were compared to those resulting from N4ITK correction.
RF-depolarization and template-based mapping methods yielded a pattern of RF-inhomogeneity consistent with the expected variation based on coil architecture. The resulting corrected images were visually similar, but meaningfully distinct from those generated using standard N4ITK correction. The N4ITK algorithm eliminated the physiologically expected anterior-posterior gradient (-0.04 ± 1.56%/cm, P < 0.001). These 2 newly introduced methods of RF-depolarization and template correction retained the physiologically expected anterior-posterior ventilation gradient in healthy subjects (2.77 ± 2.09%/cm and 2.01 ± 2.73%/cm, respectively).
Randomized 3D Xe MRI ventilation acquisitions can inherently be corrected for bias field, and this technique can be extended to create flip angle templates capable of correcting images from a given coil regardless of acquisition strategy. These methods may be more favorable than the de facto standard N4ITK because they can remove undesirable heterogeneity caused by RF effects while retaining results from known physiology.
利用随机 3D 径向采集实现的翻转角映射来校正体内 Xe 通气 MRI 的射频不均匀性。将这种射频去极化映射方法扩展到创建适用于任意采集策略的翻转角图模板,并将这些方法与传统的偏置场校正进行比较。
首先在数字模拟中评估射频去极化映射,然后在 51 名接受过 3T 仰卧位径向 Xe 通气 MRI 检查的受试者中进行评估(视图=3600;每视图样本=128;TR/TE=4.5/0.45ms;翻转角=1.5;FOV=40cm)。使用新开发的射频去极化和基于模板的方法对图像进行校正,并将得到的定量通气指标(均值、变异系数和梯度)与 N4ITK 校正得到的指标进行比较。
射频去极化和基于模板的映射方法得到的射频不均匀性模式与基于线圈结构的预期变化一致。校正后的图像在视觉上相似,但与使用标准 N4ITK 校正生成的图像有明显区别。N4ITK 算法消除了生理上预期的前后梯度(-0.04±1.56%/cm,P<0.001)。这两种新引入的射频去极化和模板校正方法在健康受试者中保留了生理上预期的前后通气梯度(分别为 2.77±2.09%/cm 和 2.01±2.73%/cm)。
随机 3D Xe MRI 通气采集可以固有地校正偏置场,并且可以扩展该技术来创建翻转角模板,该模板能够校正来自给定线圈的图像,而与采集策略无关。这些方法可能比事实上的标准 N4ITK 更有利,因为它们可以去除由射频效应引起的不良异质性,同时保留已知生理学的结果。