• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

在1.5T磁共振直线加速器上使用非笛卡尔采样和压缩感知进行纵向弛豫率映射的可行性

Feasibility of Longitudinal Relaxation Rate Mapping with Non-Cartesian Sampling and Compressed Sensing on a 1.5T MR-Linac.

作者信息

McCullum Lucas, van Rijssel Michael J, Hwang Ken-Pin, Ding Yao, Tang Chad, Hassanzadeh Comron, Yang Jinzhong, Balter Peter A, Wang Jihong, Fuller Clifton D, Subashi Ergys D

机构信息

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

UT MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA.

出版信息

medRxiv. 2025 Jul 29:2025.07.28.25332213. doi: 10.1101/2025.07.28.25332213.

DOI:10.1101/2025.07.28.25332213
PMID:40766153
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12324627/
Abstract

BACKGROUND

Quantitative mapping of the longitudinal relaxation rate (R1=1/T1) is a major building block for several multiparametric MRI protocols intended for adaptive radiation therapy planning. The implementation of these protocols is challenging in anatomical sites that experience large physiological motion.

PURPOSE

To implement and validate a motion-resolved quantitative T1 mapping method on a 1.5T MR-Linac that combines non-Cartesian k-space sampling trajectories with compressed sensing (CS) reconstruction techniques.

METHODS

Four 3D non-Cartesian k-space trajectories were evaluated: radial and stack-of-stars sampling using half- and full-spoke coverage. A variable flip angle acquisition was performed using the spoiled gradient-echo sequence, and T1 mapping was validated using two standard phantoms. Gradient delay timing was optimized empirically to minimize trajectory-induced artifacts. Eight compressed sensing reconstruction strategies were tested using spatial and spatiotemporal regularization operators. Reconstructions were evaluated across multiple implementation parameters and ranked based on spatial resolution, bias, and variability. In vivo studies included one healthy volunteer and one patient undergoing radiotherapy to a target in the kidney. Motion-resolved imaging was performed using respiratory self-gating and phase-sorted reconstruction.

RESULTS

All non-Cartesian trajectories demonstrated high repeatability and low longitudinal bias in phantom studies, with coefficients of variation below 3.3%. Radial half-spoke sampling achieved the shortest scan times and highest agreement with Cartesian benchmarks. Reconstruction methods incorporating spatiotemporal regularization maintained spatial resolution and quantitative accuracy across undersampling factors up to 20-fold. In human subjects, non-Cartesian T1 mapping provided improved accuracy and reduced variability in mobile abdominal tissues compared to Cartesian acquisitions, particularly in the kidney cortex and medulla, where motion artifacts led to overestimation and higher variance in the reference method.

CONCLUSIONS

T1 mapping using non-Cartesian trajectories and compressed sensing reconstruction is feasible on a 1.5T MR-Linac. The proposed approach enables accurate, motion-resolved quantitative imaging within clinically practical acquisition times. These results support integration of quantitative T1 mapping into adaptive MR-guided radiotherapy workflows and establish a foundation for future development of multiparametric imaging and response-adaptive treatment strategies.

摘要

背景

纵向弛豫率(R1 = 1/T1)的定量映射是几种用于自适应放射治疗计划的多参数MRI协议的主要组成部分。在经历较大生理运动的解剖部位实施这些协议具有挑战性。

目的

在1.5T MR直线加速器上实现并验证一种运动分辨定量T1映射方法,该方法将非笛卡尔k空间采样轨迹与压缩感知(CS)重建技术相结合。

方法

评估了四种3D非笛卡尔k空间轨迹:使用半辐条和全辐条覆盖的径向采样和星状堆叠采样。使用扰相梯度回波序列进行可变翻转角采集,并使用两个标准体模验证T1映射。通过经验优化梯度延迟定时,以最小化轨迹诱导的伪影。使用空间和时空正则化算子测试了八种压缩感知重建策略。对多种实现参数的重建进行了评估,并根据空间分辨率、偏差和变异性进行排名。体内研究包括一名健康志愿者和一名接受肾脏靶区放射治疗的患者。使用呼吸自门控和相位排序重建进行运动分辨成像。

结果

在体模研究中所有非笛卡尔轨迹均显示出高重复性和低纵向偏差,变异系数低于3.3%。径向半辐条采样实现了最短扫描时间,并与笛卡尔基准具有最高一致性。纳入时空正则化的重建方法在欠采样因子高达20倍的情况下保持了空间分辨率和定量准确性。在人体受试者中,与笛卡尔采集相比,非笛卡尔T1映射在移动腹部组织中提供了更高的准确性并降低了变异性,特别是在肾皮质和髓质中;在这些部位,运动伪影导致参考方法出现高估和更高的方差。

结论

在1.5T MR直线加速器上使用非笛卡尔轨迹和压缩感知重建进行T1映射是可行的。所提出的方法能够在临床实际采集时间内实现准确的、运动分辨定量成像。这些结果支持将定量T1映射整合到自适应MR引导放射治疗工作流程中,并为多参数成像和反应自适应治疗策略的未来发展奠定基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697e/12324627/88648e8d627f/nihpp-2025.07.28.25332213v1-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697e/12324627/04bc015fdfb7/nihpp-2025.07.28.25332213v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697e/12324627/f0851e122a80/nihpp-2025.07.28.25332213v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697e/12324627/32565d8fd125/nihpp-2025.07.28.25332213v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697e/12324627/681c2468a585/nihpp-2025.07.28.25332213v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697e/12324627/09f59dd4462b/nihpp-2025.07.28.25332213v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697e/12324627/3f8e570b42c0/nihpp-2025.07.28.25332213v1-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697e/12324627/2a756600c387/nihpp-2025.07.28.25332213v1-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697e/12324627/88648e8d627f/nihpp-2025.07.28.25332213v1-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697e/12324627/04bc015fdfb7/nihpp-2025.07.28.25332213v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697e/12324627/f0851e122a80/nihpp-2025.07.28.25332213v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697e/12324627/32565d8fd125/nihpp-2025.07.28.25332213v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697e/12324627/681c2468a585/nihpp-2025.07.28.25332213v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697e/12324627/09f59dd4462b/nihpp-2025.07.28.25332213v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697e/12324627/3f8e570b42c0/nihpp-2025.07.28.25332213v1-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697e/12324627/2a756600c387/nihpp-2025.07.28.25332213v1-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697e/12324627/88648e8d627f/nihpp-2025.07.28.25332213v1-f0008.jpg

相似文献

1
Feasibility of Longitudinal Relaxation Rate Mapping with Non-Cartesian Sampling and Compressed Sensing on a 1.5T MR-Linac.在1.5T磁共振直线加速器上使用非笛卡尔采样和压缩感知进行纵向弛豫率映射的可行性
medRxiv. 2025 Jul 29:2025.07.28.25332213. doi: 10.1101/2025.07.28.25332213.
2
Technical Optimization of SyntheticMR for the Head and Neck on a 3T MR-Simulator and 1.5T MR-Linac: A Prospective R-IDEAL Stage 2a Technology Innovation Report.3T磁共振模拟机和1.5T磁共振直线加速器上用于头颈部位的合成磁共振技术优化:一项前瞻性R-IDEAL 2a期技术创新报告。
medRxiv. 2025 Apr 10:2025.04.08.25325491. doi: 10.1101/2025.04.08.25325491.
3
Free-breathing, fat-corrected T mapping of the liver with stack-of-stars MRI, and joint estimation of T, PDFF, , and .使用星状堆叠MRI进行自由呼吸、脂肪校正的肝脏T映射,以及T、PDFF、 和 的联合估计。
Magn Reson Med. 2024 Nov;92(5):1913-1932. doi: 10.1002/mrm.30182. Epub 2024 Jun 23.
4
SuperMRF: deep robust reconstruction for highly accelerated magnetic resonance fingerprinting.SuperMRF:用于高度加速磁共振指纹识别的深度稳健重建
Quant Imaging Med Surg. 2025 Apr 1;15(4):3480-3500. doi: 10.21037/qims-23-1819. Epub 2025 Mar 28.
5
5D image reconstruction exploiting space-motion-echo sparsity for accelerated free-breathing quantitative liver MRI.利用空间运动回波稀疏性进行加速自由呼吸定量肝脏MRI的5D图像重建
Med Image Anal. 2025 May;102:103532. doi: 10.1016/j.media.2025.103532. Epub 2025 Mar 19.
6
Assessing repeatability and confounding factors of magnetic resonance fingerprinting (MRF) for quantitative liver imaging.评估磁共振指纹成像(MRF)用于肝脏定量成像的可重复性及混杂因素。
Med Phys. 2025 Jul;52(7):e17932. doi: 10.1002/mp.17932.
7
Impact of undersampling on preclinical lung T* mapping with 3D radial UTE MRI at 7 T.7T 下 3D 径向 UTE MRI 前瞻性肺 T* mapping 中欠采样的影响。
J Magn Reson. 2024 Aug;365:107741. doi: 10.1016/j.jmr.2024.107741. Epub 2024 Jul 26.
8
Effect of respiration-induced motion on a three-dimensional magnetic resonance imaging-based adaptive radiotherapy workflow in a 1.5T magnetic resonance linear accelerator.呼吸诱导运动对1.5T磁共振直线加速器中基于三维磁共振成像的自适应放疗工作流程的影响。
Quant Imaging Med Surg. 2025 Jul 1;15(7):6486-6500. doi: 10.21037/qims-2024-2866. Epub 2025 Jun 27.
9
High-definition motion-resolved MRI using 3D radial kooshball acquisition and deep learning spatial-temporal 4D reconstruction.使用3D径向球型采集和深度学习时空4D重建的高清运动分辨MRI。
Phys Med Biol. 2025 Jun 17;70(12). doi: 10.1088/1361-6560/ade195.
10
B navigator enables respiratory motion navigation in radial stack-of-stars liver Look-Locker T mapping.B导航器可在径向星状堆叠肝脏Look-Locker T映射中实现呼吸运动导航。
Magn Reson Med. 2025 Oct;94(4):1458-1468. doi: 10.1002/mrm.30567. Epub 2025 May 20.

本文引用的文献

1
Technical development and In Silico implementation of SyntheticMR in head and neck adaptive radiation therapy: A prospective R-IDEAL stage 0/1 technology development report.合成磁共振成像在头颈部自适应放射治疗中的技术开发与计算机模拟实现:一项前瞻性R-IDEAL 0/1期技术开发报告
J Appl Clin Med Phys. 2025 Jul;26(7):e70134. doi: 10.1002/acm2.70134. Epub 2025 Jul 11.
2
Imaging cancer metabolism using magnetic resonance.利用磁共振成像技术研究癌症代谢
Npj Imaging. 2024 Jan 11;2(1):1. doi: 10.1038/s44303-023-00004-0.
3
Early detection and serial monitoring during chemotherapy-radiation therapy: Using T1 and T2 mapping cardiac magnetic resonance imaging.
放化疗期间的早期检测及连续监测:使用T1和T2映射心脏磁共振成像
Front Cardiovasc Med. 2023 Mar 29;10:1085737. doi: 10.3389/fcvm.2023.1085737. eCollection 2023.
4
View-sharing for 4D magnetic resonance imaging with randomized projection-encoding enables improvements of respiratory motion imaging for treatment planning in abdominothoracic radiotherapy.用于4D磁共振成像的视图共享与随机投影编码可改善腹胸段放疗治疗计划中的呼吸运动成像。
Phys Imaging Radiat Oncol. 2023 Jan 2;25:100409. doi: 10.1016/j.phro.2022.12.006. eCollection 2023 Jan.
5
Advances in Automated Treatment Planning.自动化治疗计划的进展。
Semin Radiat Oncol. 2022 Oct;32(4):343-350. doi: 10.1016/j.semradonc.2022.06.004.
6
A standard system phantom for magnetic resonance imaging.一种用于磁共振成像的标准系统体模。
Magn Reson Med. 2021 Sep;86(3):1194-1211. doi: 10.1002/mrm.28779. Epub 2021 Apr 13.
7
Rapid multicontrast brain imaging on a 0.35T MR-linac.在0.35T磁共振直线加速器上进行快速多对比度脑成像。
Med Phys. 2020 Sep;47(9):4064-4076. doi: 10.1002/mp.14251. Epub 2020 Jul 6.
8
Deep learning-based image reconstruction and motion estimation from undersampled radial k-space for real-time MRI-guided radiotherapy.基于深度学习的实时 MRI 引导放射治疗中欠采样径向 k 空间的图像重建和运动估计。
Phys Med Biol. 2020 Aug 7;65(15):155015. doi: 10.1088/1361-6560/ab9358.
9
Multiparametric magnetic resonance imaging: Overview of the technique, clinical applications in prostate biopsy and future directions.多参数磁共振成像:技术概述、在前列腺活检中的临床应用及未来方向
Turk J Urol. 2018 Mar;44(2):93-102. doi: 10.5152/tud.2018.56056. Epub 2018 Mar 1.
10
T1 Mapping: Basic Techniques and Clinical Applications.T1 映射:基本技术与临床应用。
JACC Cardiovasc Imaging. 2016 Jan;9(1):67-81. doi: 10.1016/j.jcmg.2015.11.005.