Enhancing sparse-view photoacoustic tomography with combined virtually parallel projecting and spatially adaptive filtering
Enhancing sparse-view photoacoustic tomography with combined virtually parallel projecting and spatially adaptive filtering
复制标题
通过结合虚拟并行投影和空间自适应滤波增强稀疏视图光声断层扫描
DOI：
10.1364/boe.9.004569
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发表时间：
2018
影响因子：
3.4
通讯作者：
Gao Feng
中科院分区：
文献类型：
--
作者：
Wang Yihan;Lu Tong;Li Jiao;Wan Wenbo;Ma Wenjuan;Zhang Limin;Zhou Zhongxing;Jiang Jingying;Zhao Huijuan;Gao Feng
为了充分发挥光声层析成像（PAT）在临床前和临床应用中的潜力，需要快速测量和鲁棒重建。稀疏视图测量方法有效地提高了数据采集速度。然而，由于从稀疏视图采样数据的重建是具有挑战性的，有效的测量和适当的重建应同时考虑。在这项研究中，我们提出了一种迭代稀疏视图PAT重建方案，其中引入了虚拟平行投影匹配测量条件的概念，以帮助在重建过程中的“压缩感知”，同时，非局部空间自适应滤波探索自然图像中的相互相似性的先验信息，以恢复变换稀疏域中的未知数。因此，在稀疏视图相同的情况下，与通用反投影方法相比，稀疏视图方法的重建图像质量有明显提高。所提出的方法已被验证的模拟和离体实验，表现出良好的性能，即使从少量的测量位置的图像保真度。
To fully realize the potential of photoacoustic tomography (PAT) in preclinical and clinical applications, rapid measurements and robust reconstructions are needed. Sparse-view measurements have been adopted effectively to accelerate the data acquisition. However, since the reconstruction from the sparse-view sampling data is challenging, both the effective measurement and the appropriate reconstruction should be taken into account. In this study, we present an iterative sparse-view PAT reconstruction scheme, where a concept of virtual parallel-projection matching the measurement condition is introduced to aid the “compressive sensing” in the reconstruction procedure, and meanwhile, the non-local spatially adaptive filtering exploring the a priori information of the mutual similarities in natural images is adopted to recover the unknowns in the transformed sparse domain. Consequently, the reconstructed images with the proposed sparse-view scheme can be evidently improved in comparison to those with the universal back-projection method, for the cases of same sparse views. The proposed approach has been validated by the simulations and ex vivo experiments, which exhibits desirable performances in image fidelity even from a small number of measuring positions.