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基于蒙特卡罗方法的荧光断层成像,采用时间门控实现寿命复用。

Monte Carlo based method for fluorescence tomographic imaging with lifetime multiplexing using time gates.

作者信息

Chen Jin, Venugopal Vivek, Intes Xavier

出版信息

Biomed Opt Express. 2011 Mar 14;2(4):871-86. doi: 10.1364/BOE.2.000871.

DOI:10.1364/BOE.2.000871
PMID:21483610
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3072127/
Abstract

Time-resolved fluorescence optical tomography allows 3-dimensional localization of multiple fluorophores based on lifetime contrast while providing a unique data set for improved resolution. However, to employ the full fluorescence time measurements, a light propagation model that accurately simulates weakly diffused and multiple scattered photons is required. In this article, we derive a computationally efficient Monte Carlo based method to compute time-gated fluorescence Jacobians for the simultaneous imaging of two fluorophores with lifetime contrast. The Monte Carlo based formulation is validated on a synthetic murine model simulating the uptake in the kidneys of two distinct fluorophores with lifetime contrast. Experimentally, the method is validated using capillaries filled with 2.5nmol of ICG and IRDye™800CW respectively embedded in a diffuse media mimicking the average optical properties of mice. Combining multiple time gates in one inverse problem allows the simultaneous reconstruction of multiple fluorophores with increased resolution and minimal crosstalk using the proposed formulation.

摘要

时间分辨荧光光学断层扫描能够基于寿命对比度对多种荧光团进行三维定位,同时提供用于提高分辨率的独特数据集。然而,要充分利用荧光时间测量结果,就需要一个能够准确模拟弱散射和多次散射光子的光传播模型。在本文中,我们推导了一种基于蒙特卡罗方法的高效计算方法,用于计算时间门控荧光雅可比矩阵,以实现具有寿命对比度的两种荧光团的同时成像。基于蒙特卡罗的公式在一个模拟摄取具有寿命对比度的两种不同荧光团的合成小鼠模型上得到了验证。在实验中,该方法通过分别填充有2.5 nmol吲哚菁绿(ICG)和IRDye™800CW的毛细血管嵌入模拟小鼠平均光学特性的漫射介质中进行了验证。在一个反问题中组合多个时间门,使用所提出的公式能够以更高的分辨率和最小的串扰同时重建多种荧光团。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83e7/3072127/4c33d0cfd35a/boe-2-4-871-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83e7/3072127/9b6a869b7c73/boe-2-4-871-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83e7/3072127/c940be8a2ca6/boe-2-4-871-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83e7/3072127/4ec1c0508bb6/boe-2-4-871-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83e7/3072127/97f29b40ce84/boe-2-4-871-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83e7/3072127/04e987e10924/boe-2-4-871-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83e7/3072127/7b595cbb09f7/boe-2-4-871-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83e7/3072127/4c33d0cfd35a/boe-2-4-871-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83e7/3072127/9b6a869b7c73/boe-2-4-871-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83e7/3072127/c940be8a2ca6/boe-2-4-871-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83e7/3072127/4ec1c0508bb6/boe-2-4-871-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83e7/3072127/97f29b40ce84/boe-2-4-871-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83e7/3072127/04e987e10924/boe-2-4-871-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83e7/3072127/7b595cbb09f7/boe-2-4-871-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83e7/3072127/4c33d0cfd35a/boe-2-4-871-g007.jpg

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