Chung Kan, Rüdiger Stirnberg, Marcela Montequin, Omer Faruk Gulban, A Tyler Morgan, Peter A Bandettini, Laurentius Huber
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引用次数: 0
Abstract
Purpose: Registration of functional and structural data poses a challenge for high-resolution fMRI studies at 7 T. 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 includes data that match distortions of functional data and data that are free of distortions. This approach involves a T1-weighted 2-inversion 3D-EPI sequence with four combinations of read and phase encoding directions optimized for high-resolution fMRI. A forward Bloch model was used for T1 quantification and protocol optimization. Fifteen participants were scanned at 7 T using both structural and functional protocols to evaluate the use of T1234.
Results: Results from two protocols are presented. A fast distortion-free protocol reliably produced whole-brain segmentations at 0.8 mm isotropic resolution within 3:00-3:40 min. It demonstrates robustness across sessions, participants, and three different 7 T 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.
目的:功能和结构数据的注册对7t高分辨率fMRI研究提出了挑战。本研究旨在开发一种快速获取方法,提供扭曲匹配、伪影减轻的结构参考数据。方法:我们引入了一种高效的序列协议,称为T1234,它提供了可调的失真。这包括与功能数据的扭曲相匹配的数据和没有扭曲的数据。该方法涉及t1加权2反转3D-EPI序列,该序列具有针对高分辨率fMRI优化的四种读取和相位编码方向组合。前向Bloch模型用于T1量化和方案优化。15名参与者在7 T时使用结构和功能协议进行扫描,以评估T1234的使用。结果:给出了两种方案的结果。快速无失真方案可靠地在3:00-3:40分钟内以0.8 mm各向同性分辨率产生全脑分割。它展示了跨会话、参与者和三种不同的7 T SIEMENS扫描仪的健壮性。对于具有匹配功能数据的几何扭曲的协议,T1234有助于层特异性fMRI信号分析,具有增强的层流精度。结论:这种结构映射方法可以精确地与fMRI数据匹配。T1234已成功实施,验证和测试,现在可供我们中心和全球50多个中心的用户使用。
期刊介绍:
Magnetic Resonance in Medicine (Magn Reson Med) is an international journal devoted to the publication of original investigations concerned with all aspects of the development and use of nuclear magnetic resonance and electron paramagnetic resonance techniques for medical applications. Reports of original investigations in the areas of mathematics, computing, engineering, physics, biophysics, chemistry, biochemistry, and physiology directly relevant to magnetic resonance will be accepted, as well as methodology-oriented clinical studies.