Suppr超能文献

基于模型的重建,用于单次反转恢复径向 FLASH 的同时多层映射。

Model-based reconstruction for simultaneous multi-slice mapping using single-shot inversion-recovery radial FLASH.

机构信息

Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany.

German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, Göttingen, Germany.

出版信息

Magn Reson Med. 2021 Mar;85(3):1258-1271. doi: 10.1002/mrm.28497. Epub 2020 Sep 16.

Abstract

PURPOSE

To develop a single-shot multi-slice mapping method by combing simultaneous multi-slice (SMS) excitations, single-shot inversion-recovery (IR) radial fast low-angle shot (FLASH), and a nonlinear model-based reconstruction method.

METHODS

SMS excitations are combined with a single-shot IR radial FLASH sequence for data acquisition. A previously developed single-slice calibrationless model-based reconstruction is extended to SMS, formulating the estimation of parameter maps and coil sensitivities from all slices as a single nonlinear inverse problem. Joint-sparsity constraints are further applied to the parameter maps to improve precision. Validations of the proposed method are performed for a phantom and for the human brain and liver in 6 healthy adult subjects.

RESULTS

Phantom results confirm good accuracy and precision of the simultaneously acquired multi-slice maps in comparison to single-slice references. In vivo human brain studies demonstrate the better performance of SMS acquisitions compared to the conventional spoke-interleaved multi-slice acquisition using model-based reconstruction. Aside from good accuracy and precision, the results of 6 healthy subjects in both brain and abdominal studies confirm good repeatability between scan and re-scans. The proposed method can simultaneously acquire maps for 5 slices of a human brain ( ) or 3 slices of the abdomen ( ) within 4 seconds.

CONCLUSIONS

The IR SMS radial FLASH acquisition together with a nonlinear model-based reconstruction enable rapid high-resolution multi-slice mapping with good accuracy, precision, and repeatability.

摘要

目的

通过结合同时多层激发(SMS)、单次反转恢复(IR)径向快速小角度激发(FLASH)和基于非线性模型的重建方法,开发单次多层映射方法。

方法

SMS 激发与单次 IR 径向 FLASH 序列相结合进行数据采集。将之前开发的无单切片校准的基于模型的重建方法扩展到 SMS,将所有切片的参数图和线圈灵敏度的估计表示为单个非线性反问题。进一步对参数图施加联合稀疏性约束,以提高精度。在一个体模和 6 名健康成年志愿者的人脑和肝脏中对所提出的方法进行了验证。

结果

与单切片参考相比,体模结果证实了同时采集的多层映射的良好准确性和精度。在人体大脑的体内研究中,与基于模型重建的传统的 spokes 交错多层采集相比,SMS 采集表现出更好的性能。除了良好的准确性和精度外,大脑和腹部研究的 6 名健康志愿者的结果还证实了扫描和重新扫描之间的良好重复性。该方法可以在 4 秒内同时获取人脑的 5 层( )或腹部的 3 层( )的 映射。

结论

IR SMS 径向 FLASH 采集与基于非线性模型的重建相结合,可实现具有良好准确性、精度和可重复性的快速高分辨率多层映射。

相似文献

1
Model-based reconstruction for simultaneous multi-slice mapping using single-shot inversion-recovery radial FLASH.
Magn Reson Med. 2021 Mar;85(3):1258-1271. doi: 10.1002/mrm.28497. Epub 2020 Sep 16.
2
Fast Interleaved Multislice T1 Mapping: Model-Based Reconstruction of Single-Shot Inversion-Recovery Radial FLASH.
Comput Math Methods Med. 2018 Aug 13;2018:2560964. doi: 10.1155/2018/2560964. eCollection 2018.
3
Model-based T mapping with sparsity constraints using single-shot inversion-recovery radial FLASH.
Magn Reson Med. 2018 Feb;79(2):730-740. doi: 10.1002/mrm.26726. Epub 2017 Jun 11.
4
Rapid high-resolution T mapping using a highly accelerated radial steady-state free-precession technique.
J Magn Reson Imaging. 2019 Jan;49(1):239-252. doi: 10.1002/jmri.26170. Epub 2018 Aug 24.
6
Simultaneous multi-slice MRI using cartesian and radial FLASH and regularized nonlinear inversion: SMS-NLINV.
Magn Reson Med. 2018 Apr;79(4):2057-2066. doi: 10.1002/mrm.26878. Epub 2017 Aug 24.
7
Free-breathing myocardial T mapping using inversion-recovery radial FLASH and motion-resolved model-based reconstruction.
Magn Reson Med. 2023 Apr;89(4):1368-1384. doi: 10.1002/mrm.29521. Epub 2022 Nov 20.
8
Radial simultaneous multi-slice CAIPI for ungated myocardial perfusion.
Magn Reson Imaging. 2016 Nov;34(9):1329-1336. doi: 10.1016/j.mri.2016.07.015. Epub 2016 Aug 5.

引用本文的文献

1
Fast mapping MRI in preclinical and clinical settings using subspace-constrained joint-domain reconstructions.
Magn Reson Lett. 2024 Apr 27;4(4):200134. doi: 10.1016/j.mrl.2024.200134. eCollection 2024 Nov.
4
Simultaneous multislice cardiac multimapping based on locally low-rank and sparsity constraints.
J Cardiovasc Magn Reson. 2024;26(2):101125. doi: 10.1016/j.jocmr.2024.101125. Epub 2024 Nov 14.
6
A Physics-Based Algorithm to Universally Standardize Routinely Obtained Clinical T-Weighted Images.
Acad Radiol. 2024 Feb;31(2):582-595. doi: 10.1016/j.acra.2023.05.036. Epub 2023 Jul 6.
7
Free-breathing myocardial T mapping using inversion-recovery radial FLASH and motion-resolved model-based reconstruction.
Magn Reson Med. 2023 Apr;89(4):1368-1384. doi: 10.1002/mrm.29521. Epub 2022 Nov 20.
8
Cardiac MR: From Theory to Practice.
Front Cardiovasc Med. 2022 Mar 3;9:826283. doi: 10.3389/fcvm.2022.826283. eCollection 2022.
9
Physics-based reconstruction methods for magnetic resonance imaging.
Philos Trans A Math Phys Eng Sci. 2021 Jun 28;379(2200):20200196. doi: 10.1098/rsta.2020.0196. Epub 2021 May 10.

本文引用的文献

2
Fast model-based T mapping using SAR-reduced simultaneous multislice excitation.
Magn Reson Med. 2019 Dec;82(6):2090-2103. doi: 10.1002/mrm.27890. Epub 2019 Jul 4.
3
Fast 3D brain MR fingerprinting based on multi-axis spiral projection trajectory.
Magn Reson Med. 2019 Jul;82(1):289-301. doi: 10.1002/mrm.27726. Epub 2019 Mar 18.
4
Rapid T quantification from high resolution 3D data with model-based reconstruction.
Magn Reson Med. 2019 Mar;81(3):2072-2089. doi: 10.1002/mrm.27502. Epub 2018 Oct 22.
5
Fast Interleaved Multislice T1 Mapping: Model-Based Reconstruction of Single-Shot Inversion-Recovery Radial FLASH.
Comput Math Methods Med. 2018 Aug 13;2018:2560964. doi: 10.1155/2018/2560964. eCollection 2018.
6
Rapid high-resolution T mapping using a highly accelerated radial steady-state free-precession technique.
J Magn Reson Imaging. 2019 Jan;49(1):239-252. doi: 10.1002/jmri.26170. Epub 2018 Aug 24.
7
Optimized inversion-time schedules for quantitative T measurements based on high-resolution multi-inversion EPI.
Magn Reson Med. 2018 Apr;79(4):2101-2112. doi: 10.1002/mrm.26889. Epub 2017 Aug 27.
8
Simultaneous multi-slice MRI using cartesian and radial FLASH and regularized nonlinear inversion: SMS-NLINV.
Magn Reson Med. 2018 Apr;79(4):2057-2066. doi: 10.1002/mrm.26878. Epub 2017 Aug 24.
9
Fast, precise, and accurate myocardial T mapping using a radial MOLLI sequence with FLASH readout.
Magn Reson Med. 2018 Mar;79(3):1387-1398. doi: 10.1002/mrm.26795. Epub 2017 Jul 3.
10
Model-based T mapping with sparsity constraints using single-shot inversion-recovery radial FLASH.
Magn Reson Med. 2018 Feb;79(2):730-740. doi: 10.1002/mrm.26726. Epub 2017 Jun 11.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验