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Model reduction using wavelet multiresolution technique applied to fluorescence diffuse optical tomography

机译:使用小波多分辨率技术的模型简化应用于荧光扩散光学层析成像

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摘要

Fluorescence diffuse optical tomography is a powerful tool for the investigation of molecular events in studies for new therapeutic developments. Here, the stress is put on the mathematical problem of tomography, which can be formulated in terms of an estimation of physical parameters appearing as a set of partial differential equations and solved by the finite element method. This method is well known to be time consuming, and our principal objective is to reduce the model in order to speed up computation. A method based on a wavelet multiresolution technique is presented in detail. A validation study was conducted on synthetic data and experiments.
机译:荧光漫射光学层析成像技术是研究新治疗方法研究中的分子事件的有力工具。在这里,应力被施加在层析成像的数学问题上,这可以根据对物理参数的估计来表示,该物理参数以一组偏微分方程组的形式出现,并可以通过有限元方法求解。众所周知,此方法很耗时,我们的主要目标是简化模型以加快计算速度。详细介绍了一种基于小波多分辨率技术的方法。对合成数据和实验进行了验证研究。

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