磁粒子成像的假节点近似

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI:10.1109/MELECON48756.2020.9140583

S. D. de Marchi, W. Erb, E. Francomano, F. Marchetti, E. Perracchione, Davide Poggiali

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引用次数: 9

摘要

精确地重建具有不连续的函数是许多生物成像应用的关键工具，例如在磁颗粒成像(MPI)中。在本文中，我们应用了一种分散数据插值方法，称为映射基或假节点方法，该方法通过合适的映射函数包含不连续点。正如重建MPI图像的数值证据所证实的那样，这种技术自然地减轻了吉布斯现象。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fake Nodes approximation for Magnetic Particle Imaging

Accurately reconstructing functions with discontinuities is the key tool in many bio-imaging applications as, for instance, in Magnetic Particle Imaging (MPI). In this paper, we apply a method for scattered data interpolation, named mapped bases or Fake Nodes approach, which incorporates discontinuities via a suitable mapping function. This technique naturally mitigates the Gibbs phenomenon, as numerical evidence for reconstructing MPI images confirms.

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2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)

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