College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China.
Comput Math Methods Med. 2013;2013:767296. doi: 10.1155/2013/767296. Epub 2013 Jan 22.
Bioluminescence tomography (BLT) has a great potential to provide a powerful tool for tumor detection, monitoring tumor therapy progress, and drug development; developing new reconstruction algorithms will advance the technique to practical applications. In the paper, we propose a BLT reconstruction algorithm by combining SP(3) equations and Bregman iteration method to improve the quality of reconstructed sources. The numerical results for homogeneous and heterogeneous phantoms are very encouraging and give significant improvement over the algorithms without the use of SP(3) equations and Bregman iteration method.
生物发光断层成像(BLT)在肿瘤检测、监测肿瘤治疗进展和药物开发方面具有很大的潜力;开发新的重建算法将推动该技术走向实际应用。本文提出了一种结合 SP(3)方程和 Bregman 迭代方法的 BLT 重建算法,以提高重建源的质量。对均匀和非均匀模型的数值结果非常令人鼓舞,与不使用 SP(3)方程和 Bregman 迭代方法的算法相比,有显著的改进。