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磁共振声辐射力成像（MR-ARFI）。

Magnetic Resonance Acoustic Radiation Force Imaging (MR-ARFI).

作者信息

Odéen Henrik, Payne Allison H, Parker Dennis L

机构信息

Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah, USA.

出版信息

J Magn Reson Imaging. 2025 Jul;62(1):20-39. doi: 10.1002/jmri.29712. Epub 2025 Jan 22.

DOI:10.1002/jmri.29712
PMID:39842847
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12179369/
Abstract

This review covers the theoretical background, pulse sequence considerations, practical implementations, and multitudes of applications of magnetic resonance acoustic radiation force imaging (MR-ARFI) described to date. MR-ARFI is an approach to encode tissue displacement caused by the acoustic radiation force of a focused ultrasound field into the phase of a MR image. The displacement encoding is done with motion encoding gradients (MEG) which have traditionally been added to spin echo-type and gradient recalled echo-type pulse sequences. Many different types of MEG (monopolar, bipolar, tripolar etc.) have been described and pros and cons are discussed. We further review studies investigating the safety of MR-ARFI, as well as approaches to simulate the MR-ARFI displacement. Lastly, MR-ARFI applications such as for focal spot localization, tissue stiffness interrogation following thermal ablation, trans-skull aberration correction, and simultaneous MR-ARFI and MR thermometry are discussed. EVIDENCE LEVEL: N/A TECHNICAL EFFICACY: Stage 1.

摘要

本综述涵盖了迄今为止所描述的磁共振声辐射力成像（MR-ARFI）的理论背景、脉冲序列考量、实际应用以及众多应用实例。MR-ARFI是一种将聚焦超声场的声辐射力所引起的组织位移编码到磁共振图像相位中的方法。位移编码是通过运动编码梯度（MEG）来完成的，传统上这些梯度被添加到自旋回波型和梯度回波型脉冲序列中。已经描述了许多不同类型的MEG（单极、双极、三极等），并讨论了其优缺点。我们进一步综述了研究MR-ARFI安全性的研究，以及模拟MR-ARFI位移的方法。最后，讨论了MR-ARFI的应用，如焦点定位、热消融后组织硬度检测、经颅像差校正以及同时进行MR-ARFI和MR温度测量。证据水平：无。技术效能：1级。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/12179369/d785744481a7/JMRI-62-20-g004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/12179369/ede8f0fbb7ca/JMRI-62-20-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/12179369/42e865dd8e8b/JMRI-62-20-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/12179369/14e3fdb2c6fe/JMRI-62-20-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/12179369/2105e4f6b6db/JMRI-62-20-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/12179369/6e74bf711423/JMRI-62-20-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/12179369/7022f075cead/JMRI-62-20-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/12179369/32249bbe4d8e/JMRI-62-20-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/12179369/d1055a9ff783/JMRI-62-20-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/12179369/264eee812978/JMRI-62-20-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/12179369/807023ef0635/JMRI-62-20-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/12179369/d17f0f78e40c/JMRI-62-20-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/12179369/d785744481a7/JMRI-62-20-g004.jpg

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Focal Volume, Acoustic Radiation Force, and Strain in Two-Transducer Regimes.双换能器模式下的焦域、声辐射力和应变。
IEEE Trans Ultrason Ferroelectr Freq Control. 2024 Oct;71(10):1199-1216. doi: 10.1109/TUFFC.2024.3456048. Epub 2024 Oct 10.
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Histological characterization of HIFU lesions.HIFU 损伤的组织学特征。
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Design and Validation of a Patient-Specific Stereotactic Frame for Transcranial Ultrasound Therapy.设计并验证一种用于经颅超声治疗的个体化立体定向框架。
IEEE Trans Ultrason Ferroelectr Freq Control. 2024 Aug;71(8):1030-1041. doi: 10.1109/TUFFC.2024.3420242. Epub 2024 Aug 19.
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Displacement Tracking Techniques in Ultrasound Elastography: From Cross Correlation to Deep Learning.超声弹性成像中的位移跟踪技术：从互相关到深度学习。
IEEE Trans Ultrason Ferroelectr Freq Control. 2024 Jul;71(7):842-871. doi: 10.1109/TUFFC.2024.3410671. Epub 2024 Jul 9.
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Ultrasonographic Assessment of Tissue Stiffness: Recent Progress in Transient Elastography and Shear Wave Elastography in the Liver and Various Organs.超声弹性成像技术评估组织硬度：肝脏及多种器官的瞬时弹性成像和剪切波弹性成像的最新进展。
Kurume Med J. 2024 Jul 2;70(1.2):1-10. doi: 10.2739/kurumemedj.MS7012010. Epub 2024 May 17.
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