Application of Adaptive Image Receive Coil Technology for Whole-Brain Imaging.

Application of Adaptive Image Receive Coil Technology for Whole-Brain Imaging.
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自适应图像接收线圈技术在全脑成像中的应用

DOI:
10.2214/ajr.20.22812
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发表时间:
2021-03
期刊:
AJR. American journal of roentgenology
影响因子:
--
通讯作者:
Huston J 3rd
Huston J 3rd
中科院分区:
其他
文献类型:
--
作者:
Cogswell PM;Trzasko JD;Gray EM;Campeau NG;Rossman PJ;Kang D;Robb F;Stormont RS;Lindsay SA;Bernstein MA;McGee KP;Huston J 3rd

文献摘要

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自适应图像接收(AIR)射频线圈是一项新兴技术,重量轻,灵活,具有克服传统刚性线圈设计的许多限制的电气特性。本研究的目的是将AIR线圈应用于全脑成像,并将原型AIR线圈阵列的性能与传统头部线圈的性能进行比较。一个幻影和15个健康的成年参与者进行了成像。使用临床可用的MRI序列,将原型16通道头部AIR线圈与传统的8通道和32通道头部线圈进行比较。在共识审查期间,两名委员会认证的神经放射科医生在多个类别中采用5分制顺序量表对AIR线圈与8通道线圈和32通道线圈进行了分级。进行单侧和双侧Wilcoxon符号秩检验。计算噪声协方差矩阵和几何因子(g因子)图。原型16通道AIR线圈的信噪比、结构清晰度和总体图像质量评分优于8通道线圈,但不如32通道线圈。噪声协方差矩阵显示了参与者中AIR线圈的稳定性能。总体而言,16通道AIR线圈的中位g因子小于8通道线圈,但大于32通道线圈。平均而言,原型16通道头部AIR线圈的性能优于传统的8通道头部线圈,但性能不如传统的32通道头部线圈。本研究显示了新型AIR线圈技术用于脑部成像的可行性,并为未来线圈设计的改进提供了见解。
The Adaptive Image Receive (AIR) radiofrequency coil is an emergent technology that is lightweight and flexible and exhibits electrical characteristics that overcome many of the limitations of traditional rigid coil designs. The purpose of this study was to apply the AIR coil for whole-brain imaging and compare the performance of a prototype AIR coil array with the performance of conventional head coils. A phantom and 15 healthy adult participants were imaged. A prototype 16-channel head AIR coil was compared with conventional 8- and 32-channel head coils using clinically available MRI sequences. During consensus review, two board-certified neuroradiologists graded the AIR coil compared with an 8-channel coil and a 32-channel coil on a 5-point ordinal scale in multiple categories. One- and two-sided Wilcoxon signed rank tests were performed. Noise covariance matrices and geometry factor (g-factor) maps were calculated. The signal-to-noise ratio, structural sharpness, and overall image quality scores of the prototype 16-channel AIR coil were better than those of the 8-channel coil but were not as good as those of the 32-channel coil. Noise covariance matrices showed stable performance of the AIR coil across participants. The median g-factors for the 16-channel AIR coil were, overall, less than those of the 8-channel coil but were greater than those of the 32-channel coil. On average, the prototype 16-channel head AIR coil outperformed a conventional 8-channel head coil but did not perform as well as a conventional 32-channel head coil. This study shows the feasibility of the novel AIR coil technology for imaging the brain and provides insight for future coil design improvements.