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T1234：一种针对高分辨率功能磁共振成像数据配准错误的失真匹配结构扫描解决方案。

T1234: A distortion-matched structural scan solution to misregistration of high resolution fMRI data.

作者信息

Kan Chung Kenny, Stirnberg Rüdiger, Montequin Marcela, Gulban Omer Faruk, Morgan A Tyler, Bandettini Peter, Huber Laurentius Renzo

机构信息

NIH, Bethesda, United States.

German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.

出版信息

bioRxiv. 2024 Sep 20:2024.09.19.613939. doi: 10.1101/2024.09.19.613939.

DOI:10.1101/2024.09.19.613939
PMID:39372770
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11451623/
Abstract

PURPOSE

High-resolution fMRI at 7T is challenged by suboptimal alignment quality between functional data and structural scans. This study aims to develop a rapid acquisition method that provides distortion-matched, artifact-mitigated structural reference data.

METHODS

We introduce an efficient sequence protocol termed T1234, which offers adjustable distortions. This approach involves a T1-weighted 2-inversion 3D-EPI sequence with four spatial encoding directions optimized for high-resolution fMRI. A forward Bloch model was used for T1 quantification and protocol optimization. Twenty participants were scanned at 7T using both structural and functional protocols to evaluate the utility of T1234.

RESULTS

Results from two protocols are presented. A fast distortion-free protocol reliably produced whole-brain segmentations at 0.8mm isotropic resolution within 3:00-3:40 minutes. It demonstrates robustness across sessions, participants, and three different 7T SIEMENS scanners. For a protocol with geometric distortions that matched functional data, T1234 facilitates layer-specific fMRI signal analysis with enhanced laminar precision.

CONCLUSION

This structural mapping approach enables precise registration with fMRI data. T1234 has been successfully implemented, validated, and tested, and is now available to users at our center and at over 50 centers worldwide.

摘要

目的

7T高分辨率功能磁共振成像（fMRI）面临功能数据与结构扫描之间对齐质量欠佳的挑战。本研究旨在开发一种快速采集方法，以提供失真匹配、伪影减轻的结构参考数据。

方法

我们引入了一种称为T1234的高效序列方案，该方案可提供可调节的失真。此方法涉及一个T1加权的2反转3D-EPI序列，其具有针对高分辨率fMRI优化的四个空间编码方向。使用正向布洛赫模型进行T1量化和方案优化。20名参与者在7T下使用结构和功能方案进行扫描，以评估T1234的效用。

结果

展示了两种方案的结果。一种快速无失真方案在3:00 - 3:40分钟内以0.8毫米各向同性分辨率可靠地生成全脑分割。它在不同扫描时段、参与者以及三台不同的7T西门子扫描仪上均表现出稳健性。对于具有与功能数据匹配的几何失真的方案，T1234有助于进行具有更高层精度的层特异性fMRI信号分析。

结论

这种结构映射方法能够与fMRI数据进行精确配准。T1234已成功实施、验证和测试，目前可供我们中心及全球50多个中心的用户使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ff/11451623/638ff32801a0/nihpp-2024.09.19.613939v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ff/11451623/0229a18b8d1a/nihpp-2024.09.19.613939v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ff/11451623/2dbfd11d8820/nihpp-2024.09.19.613939v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ff/11451623/ed9ac38a194d/nihpp-2024.09.19.613939v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ff/11451623/873f4b584fa5/nihpp-2024.09.19.613939v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ff/11451623/638ff32801a0/nihpp-2024.09.19.613939v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ff/11451623/0229a18b8d1a/nihpp-2024.09.19.613939v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ff/11451623/2dbfd11d8820/nihpp-2024.09.19.613939v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ff/11451623/ed9ac38a194d/nihpp-2024.09.19.613939v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ff/11451623/873f4b584fa5/nihpp-2024.09.19.613939v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ff/11451623/638ff32801a0/nihpp-2024.09.19.613939v1-f0005.jpg

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本文引用的文献

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Apert Neuro. 2023 Sep;3. doi: 10.52294/001c.87961. Epub 2023 Sep 15.
2
Rapid submillimeter QSM and R* mapping using interleaved multishot 3D-EPI at 7 and 3 Tesla.在7特斯拉和3特斯拉场强下使用交错多激发3D-EPI进行快速亚毫米级QSM和R*成像。
Magn Reson Med. 2024 Dec;92(6):2294-2311. doi: 10.1002/mrm.30216. Epub 2024 Jul 10.
3
Mitigating susceptibility-induced distortions in high-resolution 3DEPI fMRI at 7T.
减轻 7T 高分辨率 3DEPI fMRI 中敏感性诱导的扭曲。
Neuroimage. 2023 Oct 1;279:120294. doi: 10.1016/j.neuroimage.2023.120294. Epub 2023 Jul 29.
4
Magnetization transfer weighted EPI facilitates cortical depth determination in native fMRI space.磁化传递加权 EPI 有助于在原始 fMRI 空间中确定皮质深度。
Neuroimage. 2021 Nov 15;242:118455. doi: 10.1016/j.neuroimage.2021.118455. Epub 2021 Aug 5.
5
LayNii: A software suite for layer-fMRI.莱尼：一款用于层 fMRI 的软件套件。
Neuroimage. 2021 Aug 15;237:118091. doi: 10.1016/j.neuroimage.2021.118091. Epub 2021 May 12.
6
Quantitative T1 mapping using multi-slice multi-shot inversion recovery EPI.使用多层面多回波反转恢复 EPI 的定量 T1 映射。
Neuroimage. 2021 Jul 1;234:117976. doi: 10.1016/j.neuroimage.2021.117976. Epub 2021 Mar 26.
7
Segmented K-space blipped-controlled aliasing in parallel imaging for high spatiotemporal resolution EPI.用于高时空分辨率回波平面成像的并行成像中分段K空间的 blipped控制的并行采集技术。
Magn Reson Med. 2021 Mar;85(3):1540-1551. doi: 10.1002/mrm.28486. Epub 2020 Sep 16.
8
The extent and drivers of gender imbalance in neuroscience reference lists.神经科学参考文献中性别失衡的程度和驱动因素。
Nat Neurosci. 2020 Aug;23(8):918-926. doi: 10.1038/s41593-020-0658-y. Epub 2020 Jun 19.
9
Layer-dependent functional connectivity methods.基于层的功能连接方法。
Prog Neurobiol. 2021 Dec;207:101835. doi: 10.1016/j.pneurobio.2020.101835. Epub 2020 Jun 5.
10
Multi-site harmonization of 7 tesla MRI neuroimaging protocols.7 特斯拉 MRI 神经影像学协议的多站点协调。
Neuroimage. 2020 Feb 1;206:116335. doi: 10.1016/j.neuroimage.2019.116335. Epub 2019 Nov 8.