Phantom-based gradient waveform measurements with compensated variable-prephasing: Description and application to EPI at 7 T.

IF 3 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Magnetic Resonance in Medicine Pub Date : 2025-01-20 DOI:10.1002/mrm.30425
Hannah Scholten, Tobias Wech, Istvan Homolya, Herbert Köstler
{"title":"Phantom-based gradient waveform measurements with compensated variable-prephasing: Description and application to EPI at 7 T.","authors":"Hannah Scholten, Tobias Wech, Istvan Homolya, Herbert Köstler","doi":"10.1002/mrm.30425","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Introducing compensated variable-prephasing (CVP), a phantom-based method for gradient waveform measurements. The technique is based on the variable-prephasing (VP) method, but takes into account the effects of all gradients involved in the measurement.</p><p><strong>Methods: </strong>We conducted measurements of a trapezoidal test gradient and of an EPI readout gradient train with three approaches: VP, CVP, and fully compensated variable-prephasing (FCVP). We compared them to one another and to predictions based on the gradient system transfer function. Furthermore, we used the measured and predicted EPI gradients for trajectory corrections in phantom images on a 7 T scanner.</p><p><strong>Results: </strong>The VP gradient measurements are confounded by lingering oscillations of the prephasing gradients, which are compensated in the CVP and FCVP measurements. FCVP is vulnerable to a sign asymmetry in the gradient chain. However, the trajectories determined by all three methods resulted in comparably high EPI image quality.</p><p><strong>Conclusion: </strong>We present a new approach allowing for phantom-based gradient waveform measurements with high precision, which can be useful for trajectory corrections in non-Cartesian or single-shot imaging techniques. In our experimental setup, the proposed \"compensated variable-prephasing\" method provided the most reliable gradient measurements of the different techniques we compared.</p>","PeriodicalId":18065,"journal":{"name":"Magnetic Resonance in Medicine","volume":" ","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Magnetic Resonance in Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/mrm.30425","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose: Introducing compensated variable-prephasing (CVP), a phantom-based method for gradient waveform measurements. The technique is based on the variable-prephasing (VP) method, but takes into account the effects of all gradients involved in the measurement.

Methods: We conducted measurements of a trapezoidal test gradient and of an EPI readout gradient train with three approaches: VP, CVP, and fully compensated variable-prephasing (FCVP). We compared them to one another and to predictions based on the gradient system transfer function. Furthermore, we used the measured and predicted EPI gradients for trajectory corrections in phantom images on a 7 T scanner.

Results: The VP gradient measurements are confounded by lingering oscillations of the prephasing gradients, which are compensated in the CVP and FCVP measurements. FCVP is vulnerable to a sign asymmetry in the gradient chain. However, the trajectories determined by all three methods resulted in comparably high EPI image quality.

Conclusion: We present a new approach allowing for phantom-based gradient waveform measurements with high precision, which can be useful for trajectory corrections in non-Cartesian or single-shot imaging techniques. In our experimental setup, the proposed "compensated variable-prephasing" method provided the most reliable gradient measurements of the different techniques we compared.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
带补偿可变预相的基于幻像的梯度波形测量:描述及其在7 T时EPI的应用。
目的:介绍一种基于幻像的梯度波形补偿变量预相(CVP)测量方法。该技术基于可变预相(VP)方法,但考虑了测量中涉及的所有梯度的影响。方法:我们用三种方法测量了梯形测试梯度和EPI读出梯度序列:VP、CVP和完全补偿可变预相(FCVP)。我们将它们相互比较,并将它们与基于梯度系统传递函数的预测进行比较。此外,我们使用测量和预测的EPI梯度在7 T扫描仪上对幻影图像进行轨迹校正。结果:前相梯度的振荡干扰了前相梯度的测量,而前相梯度的振荡在CVP和FCVP测量中得到补偿。FCVP易受梯度链符号不对称的影响。然而,所有三种方法确定的轨迹导致相对较高的EPI图像质量。结论:我们提出了一种新的方法,允许基于幻像的梯度波形测量具有高精度,这可以用于非笛卡尔或单镜头成像技术的轨迹修正。在我们的实验设置中,提出的“补偿变量预相位”方法提供了我们比较的不同技术的最可靠的梯度测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
6.70
自引率
24.20%
发文量
376
审稿时长
2-4 weeks
期刊介绍: Magnetic Resonance in Medicine (Magn Reson Med) is an international journal devoted to the publication of original investigations concerned with all aspects of the development and use of nuclear magnetic resonance and electron paramagnetic resonance techniques for medical applications. Reports of original investigations in the areas of mathematics, computing, engineering, physics, biophysics, chemistry, biochemistry, and physiology directly relevant to magnetic resonance will be accepted, as well as methodology-oriented clinical studies.
期刊最新文献
Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 1: In vivo small-animal imaging. Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 3-Ex vivo imaging: Data processing, comparisons with microscopy, and tractography. On the RF safety of titanium mesh head implants in 7 T MRI systems: an investigation. 3D joint T1/T1 ρ/T2 mapping and water-fat imaging for contrast-agent free myocardial tissue characterization at 1.5T. Whole liver phase-based R2 mapping in liver iron overload within a breath-hold.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1