Papp Daniel, Gilbert Kyle M, Cereza Gaspard, D'Astous Alexandre, Lopez-Rios Nibardo, Boudreau Mathieu, Couch Marcus J, Yazdanbakhsh Pedram, Barry Robert L, Alonso-Ortiz Eva, Cohen-Adad Julien
NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Quebec, Canada.
Centre for Functional and Metabolic Mapping, The University of Western Ontario, London, Ontario, Canada.
Magn Reson Med. 2024 Dec;92(6):2392-2403. doi: 10.1002/mrm.30225. Epub 2024 Aug 13.
Advancing the development of 7 T MRI for spinal cord imaging is crucial for the enhanced diagnosis and monitoring of various neurodegenerative diseases and traumas. However, a significant challenge at this field strength is the transmit field inhomogeneity. Such inhomogeneity is particularly problematic for imaging the small, deep anatomical structures of the cervical spinal cord, as it can cause uneven signal intensity and elevate the local specific absorption ratio, compromising image quality. This multisite study explores several RF shimming techniques in the cervical spinal cord.
Data were collected from 5 participants between two 7 T sites with a custom 8Tx/20Rx parallel transmission coil. We explored two radiofrequency (RF) shimming approaches from an MRI vendor and four from an open-source toolbox, showcasing their ability to enhance transmit field and signal homogeneity along the cervical spinal cord.
The circularly polarized (CP), coefficient of variation (CoV), and specific absorption rate (SAR) efficiency shim modes showed the highest B efficiency, and the vendor-based "patient" and "volume" modes showed the lowest B efficiency. The coefficient of variation method produced the highest CSF/spinal cord contrast on T*-weighted scans (ratio of 1.27 ± 0.03), and the lowest variation of that contrast along the superior-inferior axis.
The study's findings highlight the potential of RF shimming to advance 7 T MRI's clinical utility for central nervous system imaging by enabling more homogenous and efficient spinal cord imaging. Additionally, the research incorporates a reproducible Jupyter Notebook, enhancing the study's transparency and facilitating peer verification.
推进7T磁共振成像(MRI)用于脊髓成像的发展对于增强各种神经退行性疾病和创伤的诊断及监测至关重要。然而,在这个场强下的一个重大挑战是发射场不均匀性。这种不均匀性对于成像颈髓的小而深的解剖结构尤其成问题,因为它会导致信号强度不均匀并提高局部比吸收率,从而损害图像质量。这项多中心研究探索了颈髓中的几种射频匀场技术。
使用定制的8发射/20接收并行传输线圈,从两个7T站点的5名参与者收集数据。我们探索了来自MRI供应商的两种射频(RF)匀场方法以及来自一个开源工具箱的四种方法,展示了它们增强颈髓发射场和信号均匀性的能力。
圆极化(CP)、变异系数(CoV)和比吸收率(SAR)效率匀场模式显示出最高的B效率,而基于供应商的“患者”和“体积”模式显示出最低的B效率。变异系数法在T*加权扫描上产生了最高的脑脊液/脊髓对比度(比率为1.27±0.03),并且该对比度沿上下轴的变化最小。
该研究结果突出了射频匀场通过实现更均匀和高效的脊髓成像来提高7T MRI在中枢神经系统成像临床应用潜力。此外,该研究纳入了一个可重现的Jupyter Notebook,提高了研究的透明度并便于同行验证。