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Two-dimensional magnetic imaging system for evaluating iterative reconstruction method based on time-correlation information

机译:基于时间相关信息的二维磁成像系统,用于评估迭代重建方法

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Magnetic particle imaging (MPI) has been proposed as a new imaging modality and a preclinical MPI scanner was released in 2014. Using this modality, image reconstruction methods that enable the reconstruction of an accurate image under limited hardware resources, e.g., when a relatively lower gradient field strength is applied is attempted. Although the method is an image reconstruction technique based on the iterative Kaczmarz method, it is expected that the noise tolerance in this approach will be higher than that of a regression analysis, since a correlation analysis is used. To confirm the effectiveness of these methods, numerical simulations and experiments using a prototype system were performed. Results show that the use of the iterative methods provides an accurately reconstructed image. However, a clearer image has been obtained through numerical analysis under almost the same conditions. This is believed to be because the system function used for the reconstruction of the experimental data differed from the actual system function. In order to further improve image quality, the authors will attempt to reconstruct an image by evaluating the practical system function.
机译:磁性粒子成像(MPI)已被提议作为一种新的成像方式,并且在2014年发布了临床前MPI扫描仪。使用这种方式,图像重建方法可以在有限的硬件资源下(例如,相对较低的硬件资源)重建准确的图像尝试施加梯度场强度。尽管该方法是基于迭代Kaczmarz方法的图像重建技术,但是由于使用了相关分析,因此可以预期该方法的噪声容忍度将高于回归分析的容忍度。为了确认这些方法的有效性,进行了使用原型系统的数值模拟和实验。结果表明,使用迭代方法可以提供准确的重建图像。但是,在几乎相同的条件下,通过数值分析已经获得了更清晰的图像。认为这是因为用于重建实验数据的系统功能与实际系统功能不同。为了进一步提高图像质量,作者将尝试通过评估实用的系统功能来重建图像。

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