Accounting for filter bandwidth improves the quantitative accuracy of bioluminescence tomography.

Accounting for filter bandwidth improves the quantitative accuracy of bioluminescence tomography.
复制标题

DOI:
10.1117/1.jbo.20.9.096001
复制
发表时间:
2015-09
影响因子:
3.5
通讯作者:
Dehghani H
Dehghani H
中科院分区:
医学3区
文献类型:
--
作者:
Taylor SL;Mason SK;Glinton SL;Cobbold M;Dehghani H

文献摘要

相似文献

生物发光成像是一种非侵入性技术,利用动物体内发光探针的表面加权图像来表征细胞计数和功能。传统上,在光源的整个发射光谱上收集数据,不使用滤波器,用于评估整个光谱上的细胞计数/功能。或者,可以合并多个波长的多光谱数据来执行源位置和强度的层析重建。然而,用于多光谱数据采集的带通滤波器具有特定的带宽,在重构中被忽略。在这项工作中,忽略带宽会导致恢复的源强度对滤波器带宽的依赖。提出了一种计算多光谱数据采集中滤波器带宽的方法,并通过仿真和实验证明了该方法在提高生物发光层析成像定量精度方面的有效性。研究表明,虽然使用大带宽的滤波器可以显著减少数据采集时间,但如果不加以考虑,在二维平面成像中,即使经过归一化处理,定量精度也会出现高达200%的误差。对于层析成像,使用这种方法来考虑滤波器带宽显着提高了定量精度。
Bioluminescence imaging is a noninvasive technique whereby surface weighted images of luminescent probes within animals are used to characterize cell count and function. Traditionally, data are collected over the entire emission spectrum of the source using no filters and are used to evaluate cell count/function over the entire spectrum. Alternatively, multispectral data over several wavelengths can be incorporated to perform tomographic reconstruction of source location and intensity. However, bandpass filters used for multispectral data acquisition have a specific bandwidth, which is ignored in the reconstruction. In this work, ignoring the bandwidth is shown to introduce a dependence of the recovered source intensity on the bandwidth of the filters. A method of accounting for the bandwidth of filters used during multispectral data acquisition is presented and its efficacy in increasing the quantitative accuracy of bioluminescence tomography is demonstrated through simulation and experiment. It is demonstrated that while using filters with a large bandwidth can dramatically decrease the data acquisition time, if not accounted for, errors of up to 200% in quantitative accuracy are introduced in two-dimensional planar imaging, even after normalization. For tomographic imaging, the use of this method to account for filter bandwidth dramatically improves the quantitative accuracy.