• 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

基于回波平面成像的扩散加权磁共振成像在0.35T磁共振直线加速器上的验证

Validation of echo planar imaging based diffusion-weighted magnetic resonance imaging on a 0.35 T MR-Linac.

作者信息

Wallimann Philipp, Piccirelli Marco, Nowakowska Sylwia, Armstrong Tess, Mayinger Michael, Boss Andreas, Bink Andrea, Guckenberger Matthias, Tanadini-Lang Stephanie, Andratschke Nicolaus, Pouymayou Bertrand

机构信息

Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland.

Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland.

出版信息

Phys Imaging Radiat Oncol. 2024 Apr 20;30:100579. doi: 10.1016/j.phro.2024.100579. eCollection 2024 Apr.

DOI:10.1016/j.phro.2024.100579
PMID:38707628
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11068927/
Abstract

BACKGROUND AND PURPOSE

The feasibility of acquiring diffusion-weighted imaging (DWI) images on an MR-Linac for quantitative response assessment during radiotherapy was explored. DWI data obtained with a Spin Echo Echo Planar Imaging sequence adapted for a 0.35 T MR-Linac were examined and compared with DWI data from a conventional 3 T scanner.

MATERIALS AND METHODS

Apparent diffusion coefficient (ADC) measurements and a distortion correction technique were investigated using DWI-calibrated phantoms and in the brains of seven volunteers. All DWI utilized two phase-encoding directions for distortion correction and off-resonance field estimation. ADC maps in the brain were analyzed for automatically segmented normal tissues.

RESULTS

Phantom ADC measurements on the MR-Linac were within a 3 % margin of those recorded by the 3 T scanner. The maximum distortion observed in the phantom was 2.0 mm prior to correction and 1.1 mm post-correction on the MR-Linac, compared to 6.0 mm before correction and 3.6 mm after correction at 3 T. In vivo, the average ADC values for gray and white matter exhibited variations of 14 % and 4 %, respectively, for different selections of b-values on the MR-Linac. Distortions in brain images before correction, estimated through the off-resonance field, reached 2.7 mm on the MR-Linac and 12 mm at 3 T.

CONCLUSION

Accurate ADC measurements are achievable on a 0.35 T MR-Linac, both in phantom and in vivo. The selection of b-values significantly influences ADC values in vivo. DWI on the MR-Linac demonstrated lower distortion levels, with a maximum distortion reduced to 1.1 mm after correction.

摘要

背景与目的

探讨在磁共振直线加速器(MR-Linac)上获取扩散加权成像(DWI)图像用于放疗期间定量反应评估的可行性。对采用适用于0.35 T MR-Linac的自旋回波平面回波成像序列获得的DWI数据进行了检查,并与来自传统3 T扫描仪的DWI数据进行了比较。

材料与方法

使用DWI校准体模和7名志愿者的脑部研究表观扩散系数(ADC)测量和失真校正技术。所有DWI均利用两个相位编码方向进行失真校正和失谐场估计。对脑内自动分割的正常组织的ADC图进行分析。

结果

MR-Linac上体模的ADC测量值与3 T扫描仪记录的值相差在3%以内。在MR-Linac上,体模中校正前观察到的最大失真为2.0 mm,校正后为1.1 mm,而在3 T时,校正前为6.0 mm,校正后为3.6 mm。在体实验中,对于MR-Linac上不同b值的选择,灰质和白质的平均ADC值分别有14%和4%的变化。通过失谐场估计,MR-Linac上脑图像校正前的失真达到2.7 mm,3 T时为12 mm。

结论

在0.35 T MR-Linac上,无论是在体模还是在体内,都能实现准确的ADC测量。b值的选择对体内ADC值有显著影响。MR-Linac上的DWI显示出较低的失真水平,校正后最大失真降至1.1 mm。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e02f/11068927/6261f4334b08/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e02f/11068927/38f6fb9492c4/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e02f/11068927/6aef136132d6/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e02f/11068927/4b658a259eba/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e02f/11068927/e4af2305dbc7/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e02f/11068927/6261f4334b08/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e02f/11068927/38f6fb9492c4/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e02f/11068927/6aef136132d6/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e02f/11068927/4b658a259eba/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e02f/11068927/e4af2305dbc7/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e02f/11068927/6261f4334b08/gr5.jpg

相似文献

1
Validation of echo planar imaging based diffusion-weighted magnetic resonance imaging on a 0.35 T MR-Linac.基于回波平面成像的扩散加权磁共振成像在0.35T磁共振直线加速器上的验证
Phys Imaging Radiat Oncol. 2024 Apr 20;30:100579. doi: 10.1016/j.phro.2024.100579. eCollection 2024 Apr.
2
Prostate diffusion-weighted imaging (DWI) in MR-guided radiotherapy: Reproducibility assessment on 1.5 T MR-Linac and 1.5 T MR-simulator.MR 引导放疗中的前列腺弥散加权成像(DWI):1.5T MR-Linac 和 1.5T MR 模拟器上的可重复性评估。
Magn Reson Imaging. 2024 Sep;111:47-56. doi: 10.1016/j.mri.2024.03.020. Epub 2024 Mar 19.
3
Validation of daily 0.35 T diffusion-weighted MRI for MRI-guided glioblastoma radiotherapy.每日 0.35T 弥散加权 MRI 用于 MRI 引导下脑胶质瘤放疗的验证。
Med Phys. 2024 Aug;51(8):5386-5398. doi: 10.1002/mp.17067. Epub 2024 Apr 8.
4
Prospective evaluation of in vivo and phantom repeatability and reproducibility of diffusion-weighted MRI sequences on 1.5 T MRI-linear accelerator (MR-Linac) and MR simulator devices for head and neck cancers.1.5T MRI 线性加速器(MR-Linac)和 MR 模拟器设备上扩散加权 MRI 序列在头颈部癌症中的体内和体模重复性及可重复性的前瞻性评估。
Radiother Oncol. 2023 Aug;185:109717. doi: 10.1016/j.radonc.2023.109717. Epub 2023 May 19.
5
Repeatability quantification of brain diffusion-weighted imaging for future clinical implementation at a low-field MR-linac.在低场强磁共振直线加速器中对未来临床应用的脑扩散加权成像进行可重复性量化。
Radiat Oncol. 2024 Mar 6;19(1):31. doi: 10.1186/s13014-024-02424-7.
6
Impact of geometric correction on echo-planar imaging-based apparent diffusion coefficient maps for abdominal radiotherapy.基于几何校正的腹部放疗回波平面成像表观弥散系数图的影响。
Biomed Phys Eng Express. 2024 Sep 11;10(6). doi: 10.1088/2057-1976/ad7597.
7
Evaluation of diffusion-weighted MRI and geometric distortion on a 0.35T MR-LINAC at multiple gantry angles.在0.35T MR-LINAC上多个机架角度下对扩散加权磁共振成像和几何畸变的评估。
J Appl Clin Med Phys. 2021 Feb;22(2):118-125. doi: 10.1002/acm2.13135. Epub 2021 Jan 15.
8
Diffusion-weighted MRI of the lung at 3T evaluated using echo-planar-based and single-shot turbo spin-echo-based acquisition techniques for radiotherapy applications.使用基于回波平面和基于单次激发快速自旋回波的采集技术,对3T磁共振成像下的肺部进行扩散加权成像,以用于放射治疗应用。
J Appl Clin Med Phys. 2019 Jan;20(1):284-292. doi: 10.1002/acm2.12493. Epub 2018 Nov 12.
9
Comparison and evaluation of distortion correction techniques on an MR-guided radiotherapy system.磁共振引导放射治疗系统中畸变校正技术的比较与评估
Med Phys. 2021 Feb;48(2):691-702. doi: 10.1002/mp.14634. Epub 2020 Dec 23.
10
Accuracy and precision of apparent diffusion coefficient measurements on a 1.5 T MR-Linac in central nervous system tumour patients.在中枢神经系统肿瘤患者的 1.5T MR-Linac 上进行表观扩散系数测量的准确性和精密度。
Radiother Oncol. 2021 Nov;164:155-162. doi: 10.1016/j.radonc.2021.09.020. Epub 2021 Sep 28.

本文引用的文献

1
Accurate, repeatable, and geometrically precise diffusion-weighted imaging on a 0.35 T magnetic resonance imaging-guided linear accelerator.在0.35 T磁共振成像引导直线加速器上进行准确、可重复且几何精确的扩散加权成像。
Phys Imaging Radiat Oncol. 2023 Nov 8;28:100505. doi: 10.1016/j.phro.2023.100505. eCollection 2023 Oct.
2
Geometric distortions in clinical MRI sequences for radiotherapy: insights gained from a multicenter investigation.临床 MRI 序列在放射治疗中的几何变形:多中心研究的新发现。
Acta Oncol. 2023 Nov;62(11):1551-1560. doi: 10.1080/0284186X.2023.2266560. Epub 2023 Nov 7.
3
Diffusion-weighted imaging on an MRI-linear accelerator to identify adversely prognostic tumour regions in glioblastoma during chemoradiation.
在MRI直线加速器上进行弥散加权成像,以识别胶质母细胞瘤在放化疗期间预后不良的肿瘤区域。
Radiother Oncol. 2023 Nov;188:109873. doi: 10.1016/j.radonc.2023.109873. Epub 2023 Aug 26.
4
Longitudinal diffusion and volumetric kinetics of head and neck cancer magnetic resonance on a 1.5 T MR-linear accelerator hybrid system: A prospective R-IDEAL stage 2a imaging biomarker characterization/pre-qualification study.1.5T磁共振线性加速器混合系统上头颈癌磁共振的纵向扩散与容积动力学:一项前瞻性R-IDEAL 2a期成像生物标志物特征描述/预鉴定研究。
Clin Transl Radiat Oncol. 2023 Jul 24;42:100666. doi: 10.1016/j.ctro.2023.100666. eCollection 2023 Sep.
5
Recommendations for improved reproducibility of ADC derivation on behalf of the Elekta MRI-linac consortium image analysis working group.基于 Elekta MRI-直线加速器联盟图像分析工作组的建议,以提高 ADC 推导的可重复性。
Radiother Oncol. 2023 Sep;186:109803. doi: 10.1016/j.radonc.2023.109803. Epub 2023 Jul 10.
6
Tuning the optimal diffusion-weighted MRI parameters on a 0.35-T MR-Linac for clinical implementation: A phantom study.在0.35-T磁共振直线加速器上调整最佳扩散加权磁共振成像参数以用于临床实践:一项体模研究。
Front Oncol. 2022 Nov 29;12:867792. doi: 10.3389/fonc.2022.867792. eCollection 2022.
7
Off-resonance artifact correction for MRI: A review.磁共振成像的离频伪影校正:综述。
NMR Biomed. 2023 May;36(5):e4867. doi: 10.1002/nbm.4867. Epub 2022 Dec 14.
8
Repeatability of diffusion-weighted magnetic resonance imaging in head and neck cancer at a 1.5 T MR-Linac.头部和颈部癌症在 1.5T MR-Linac 上的扩散加权磁共振成像的可重复性。
Radiother Oncol. 2022 Sep;174:141-148. doi: 10.1016/j.radonc.2022.07.020. Epub 2022 Jul 25.
9
Accuracy and precision of apparent diffusion coefficient measurements on a 1.5 T MR-Linac in central nervous system tumour patients.在中枢神经系统肿瘤患者的 1.5T MR-Linac 上进行表观扩散系数测量的准确性和精密度。
Radiother Oncol. 2021 Nov;164:155-162. doi: 10.1016/j.radonc.2021.09.020. Epub 2021 Sep 28.
10
MR-Guided Radiotherapy for Brain and Spine Tumors.磁共振引导下的脑和脊柱肿瘤放射治疗
Front Oncol. 2021 Mar 8;11:626100. doi: 10.3389/fonc.2021.626100. eCollection 2021.