Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China.
Comput Math Methods Med. 2013;2013:297291. doi: 10.1155/2013/297291. Epub 2013 Mar 31.
Fluorescence molecular tomography (FMT) with early-photons can improve the spatial resolution and fidelity of the reconstructed results. However, its computing scale is always large which limits its applications. In this paper, we introduced an acceleration strategy for the early-photon FMT with graphics processing units (GPUs). According to the procedure, the whole solution of FMT was divided into several modules and the time consumption for each module is studied. In this strategy, two most time consuming modules (Gd and W modules) were accelerated with GPU, respectively, while the other modules remained coded in the Matlab. Several simulation studies with a heterogeneous digital mouse atlas were performed to confirm the performance of the acceleration strategy. The results confirmed the feasibility of the strategy and showed that the processing speed was improved significantly.
荧光分子断层成像(FMT)利用早期光子可以提高重建结果的空间分辨率和保真度。然而,其计算规模通常较大,限制了其应用。在本文中,我们引入了一种基于图形处理单元(GPU)的早期光子 FMT 加速策略。根据该方案,将 FMT 的整个求解过程分为几个模块,并研究了每个模块的时间消耗。在该策略中,分别使用 GPU 加速两个最耗时的模块(Gd 和 W 模块),而其他模块仍然用 Matlab 编码。使用一个异质数字鼠图谱进行了几项模拟研究,以验证加速策略的性能。结果证实了该策略的可行性,并表明处理速度得到了显著提高。