中国激光, 2020, 47 (2): 0207027, 网络出版: 2020-02-21
基于近似消息传递的切伦科夫激发的荧光扫描断层重建 下载: 800次
Cherenkov-Excited Luminescence Scanned Tomography Reconstruction Based on Approximate Message Passing
医用光学 图像重建技术 切伦科夫激发的荧光扫描成像 断层成像 近似消息传递 稀疏重建 medical optics image reconstruction techniques Cherenkov-excited luminescence scanned imaging tomography approximate message passing sparse reconstruction
摘要
切伦科夫激发的荧光扫描成像(CELSI)作为一种新兴分子成像技术,具有空间分辨率高和成像深度深的优点,在监测放疗过程中肿瘤的生理变化方面具有巨大潜力。前期工作基于Tikhonov方法成功实现了CELSI断层成像,但该方法无法对位置深度超过3 cm或低对比度的荧光目标进行准确重建。为克服这一问题,提出了一种基于近似信息传递算法的断层CELSI稀疏重建方法。为说明该算法的优点,将其与传统的Tikhonov正则化算法以及3种基于稀疏的重建算法进行比较。实验结果表明,就均方误差和对比噪声比而言,本文算法可以获得最优的重建结果。
Abstract
As a new molecular imaging technology, Cherenkov-excited luminescence scanned imaging (CELSI) has merits of high spatial resolution and large imaging depth, therefore showing a potential for monitoring the physiological changes of tumors during radiotherapy. In our previous work, we developed a tomographic technique for CELSI based on Tikhonov method, which is problematic to reconstruct accurate fluorescent targets with position depth larger than 3 cm or with low contrast. To overcome this problem, we develop a sparse reconstruction method for tomographic CELSI based on approximate message passing. To demonstrate the merits of the proposed algorithm, we compare it with traditional Tikhonov regularization and three sparse based reconstruction algorithms. Our results show that the proposed method can achieve best performance in terms of mean-square error and contrast noise ratio.
冯金超, 常迪, 李哲, 孙中华, 贾克斌. 基于近似消息传递的切伦科夫激发的荧光扫描断层重建[J]. 中国激光, 2020, 47(2): 0207027. Feng Jinchao, Chang Di, Li Zhe, Sun Zhonghua, Jia Kebin. Cherenkov-Excited Luminescence Scanned Tomography Reconstruction Based on Approximate Message Passing[J]. Chinese Journal of Lasers, 2020, 47(2): 0207027.