Literature DB >> 26560914

Fast reconstruction of fluorophore concentration variation based on the derivation of the diffusion equation.

Xuanxuan Zhang, Fei Liu, Simin Zuo, Jiulou Zhang, Jing Bai, Jianwen Luo.   

Abstract

The information of fluorophore concentration variation (FCV) has the potential for drug development and tumor studies, but the reconstruction of FCV is time-consuming in dynamic fluorescence molecular tomography (DFMT). In this paper, a time-efficient reconstruction method for FCV is presented. The system equation of this method is derived from the derivation of the diffusion equation, and its size does not change with the number of frames. The computational time can be significantly reduced by using this method because the images of different frames are reconstructed separately. Simulations and phantom experiments are performed to validate the performance of the proposed method. The results show that compared with the previous method, the proposed method can obtain better results and consumes less computational time with the same number of iterations. In addition, the time consumption in a single iteration of the proposed method increases much slower with the number of frames.

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Year:  2015        PMID: 26560914     DOI: 10.1364/JOSAA.32.001993

Source DB:  PubMed          Journal:  J Opt Soc Am A Opt Image Sci Vis        ISSN: 1084-7529            Impact factor:   2.129


  3 in total

1.  Non-stationary reconstruction for dynamic fluorescence molecular tomography with extended kalman filter.

Authors:  Xin Liu; Hongkai Wang; Zhuangzhi Yan
Journal:  Biomed Opt Express       Date:  2016-10-12       Impact factor: 3.732

2.  Parameterized level-set based pharmacokinetic fluorescence optical tomography using the regularized Gauss-Newton filter.

Authors:  Omprakash Gottam; Naren Naik; Sanjay Gambhir
Journal:  J Biomed Opt       Date:  2018-10       Impact factor: 3.170

3.  Shape-based reconstruction of dynamic fluorescent yield with a level set method.

Authors:  Xuanxuan Zhang; Jiulou Zhang; Jing Bai; Jianwen Luo
Journal:  Biomed Eng Online       Date:  2016-01-14       Impact factor: 2.819

  3 in total

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