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Is Your System Calibrated? MRI Gradient System Calibration for Pre-Clinical High-Resolution Imaging

机译:您的系统是否已校准?临床前高分辨率成像的MRI梯度系统校准

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摘要

High-field, pre-clinical MRI systems are widely used to characterise tissue structure and volume in small animals, using high resolution imaging. Both applications rely heavily on the consistent, accurate calibration of imaging gradients, yet such calibrations are typically only performed during maintenance sessions by equipment manufacturers, and potentially with acceptance limits that are inadequate for phenotyping. To overcome this difficulty, we present a protocol for gradient calibration quality assurance testing, based on a 3D-printed, open source, structural phantom that can be customised to the dimensions of individual scanners and RF coils. In trials on a 9.4 T system, the gradient scaling errors were reduced by an order of magnitude, and displacements of greater than 100 µm, caused by gradient non-linearity, were corrected using a post-processing technique. The step-by-step protocol can be integrated into routine pre-clinical MRI quality assurance to measure and correct for these errors. We suggest that this type of quality assurance is essential for robust pre-clinical MRI experiments that rely on accurate imaging gradients, including small animal phenotyping and diffusion MR.
机译:高场临床前MRI系统被广泛用于使用高分辨率成像来表征小动物的组织结构和体积。两种应用都严重依赖于成像梯度的一致,准确的校准,但是这种校准通常仅在设备制造商的维护会议期间执行,并且可能接受的表型不足。为了克服这一困难,我们提出了一种基于3D打印的开源结构体模的梯度校准质量保证测试协议,可以根据各个扫描仪和RF线圈的尺寸进行定制。在9.4 T系统的试验中,梯度缩放比例误差减少了一个数量级,并且使用后处理技术纠正了由梯度非线性引起的大于100 µm的位移。分步协议可以集成到常规临床前MRI质量保证中,以测量和纠正这些错误。我们建议,这种类型的质量保证对于依赖准确的成像梯度(包括小动物表型和扩散MR)的稳健的临床前MRI实验至关重要。

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