College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China.
Opt Lett. 2013 Jun 1;38(11):1841-3. doi: 10.1364/OL.38.001841.
Diffuse fluorescence tomography (DFT) methods using the full time-resolved (TR) data have been demonstrated to substantially improve the spatial resolution and quantitative accuracy of reconstructed images. However, these methods usually suffer from low practical feasibility because of the influence of the system impulse response function (IRF) and the trade-off between the used data time-resolution and the required signal-to-noise ratio (SNR). We present a full TR approach that combines an IRF-calibrated full TR Born normalization and an overlap-delaying time-gate scheme for attaining high SNR without sacrificing the TR information content. The approach is validated with full TR data from phantom experiments for its better performances in the spatial resolution and reconstruction fidelity compared to the traditional DFT methods.
基于全时间分辨（TR）数据的漫射荧光层析成像（DFT）方法已被证明可以显著提高重建图像的空间分辨率和定量准确性。然而，由于系统脉冲响应函数（IRF）的影响以及所用数据时间分辨率和所需信噪比（SNR）之间的权衡，这些方法通常在实际应用中可行性较低。我们提出了一种全 TR 方法，它结合了经 IRF 校准的全 TR 玻恩归一化和重叠延迟时间门方案，在不牺牲 TR 信息含量的情况下获得高 SNR。该方法通过全 TR 数据从体模实验中得到验证，与传统 DFT 方法相比，它在空间分辨率和重建保真度方面具有更好的性能。
