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An Enhanced Magnetomotive Ultrasound Algorithm to Quantitatively Estimate the Concentration of Iron-Oxide Nanoparticles in Perfused Tissue for Magnetic Drug Targeting

机译:一种增强的磁场超声算法,以定量地估计灌注组织中的氧化铁纳米颗粒的浓度估算磁性药物靶向

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Numerous medical applications make use of magnetic nanoparticles, which boosts the demand for imaging systems that can visualize these particles. Magnetomotive Ultrasound (MMUS) is an ultrasound-based imaging modality that can detect tissue perfused with magnetic nanoparticles. However, MMUS can only provide a qualitative mapping of the particle-loaded tissue. Therefore, we introduce in this contribution an extension of the MMUS algorithm that enables a quantitative representation of the nanoparticle density distribution in tissue. The presented algorithm is based on an iterative comparison between simulated data and measured data. Experiments with tissue-mimicking phantoms reveal that the presented procedure can be used to determine the local nanoparticle concentration in the correct order of magnitude.
机译:许多医学应用利用磁性纳米颗粒,这提高了对可视化这些颗粒的成像系统的需求。磁影超声(MMUS)是一种超声波的成像模态,可以检测灌注磁性纳米颗粒的组织。然而,MMU可以仅提供颗粒加载的组织的定性映射。因此,我们在该贡献中介绍了MMUS算法的延伸,其能够进行组织中纳米颗粒密度分布的定量表示。呈现的算法基于模拟数据和测量数据之间的迭代比较。组织模拟幻像的实验表明,所呈现的程序可用于以正确的数量级确定局部纳米颗粒浓度。

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