基于稀疏视图数据的稀疏重建的加速受激拉曼投影层析成像。

Accelerated Stimulated Raman Projection Tomography by Sparse Reconstruction From Sparse-View Data.

出版信息

IEEE Trans Biomed Eng. 2020 May;67(5):1293-1302. doi: 10.1109/TBME.2019.2935301. Epub 2019 Aug 14.

DOI:10.1109/TBME.2019.2935301

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7329365/

Abstract

OBJECTIVE

Stimulated Raman projection tomography (SRPT), a recently developed label-free volumetric chemical imaging technology, has been reported to quantitatively reconstruct the distribution of chemicals in a three-dimensional (3D) complex system. The current image reconstruction scheme used in SRPT is based on a filtered back projection (FBP) algorithm that requires at least 180 angular-dependent projections to rebuild a reasonable SRPT image, resulting in a long total acquisition time. This is a big limitation for longitudinal studies on live systems.

METHODS

We present a sparse-view data-based sparse reconstruction scheme, in which sparsely sampled projections at 180 degrees were used to reconstruct the volumetric information. In the scheme, the simultaneous algebra reconstruction technique (SART), combined with total variation regularization, was used for iterative reconstruction. To better describe the projection process, a pixel vertex driven model (PVDM) was developed to act as projectors, whose performance was compared with those of the distance driven model (DDM).

RESULTS

We evaluated our scheme with numerical simulations and validated it for SRPT by mapping lipid contents in adipose cells. Simulation results showed that the PVDM performed better than the DDM in the case of using sparse-view data. Our scheme could maintain the quality of the reconstructed images even when the projection number was reduced to 15. The cell-based experimental results demonstrated that the proposed scheme can improve the imaging speed of the current FBP-based SRPT scheme by a factor of 9-12 without sacrificing discernible imaging details.

CONCLUSION

Our proposed scheme significantly reduces the total acquisition time required for SRPT at a speed of one order of magnitude faster than the currently used scheme. This significant improvement in imaging speed would potentially promote the applicability of SRPT for imaging living organisms.

摘要

目的

受激拉曼投影层析成像（SRPT）是一种新兴的无标记体积化学成像技术，已被报道可定量重建三维（3D）复杂系统中化学物质的分布。目前 SRPT 中使用的图像重建方案基于滤波反投影（FBP）算法，该算法至少需要 180 个角度依赖的投影来重建一个合理的 SRPT 图像，导致总采集时间较长。这对于活系统的纵向研究是一个很大的限制。

方法

我们提出了一种基于稀疏视图数据的稀疏重建方案，该方案使用 180 度稀疏采样的投影来重建体积信息。在该方案中，同时代数重建技术（SART）与全变差正则化相结合，用于迭代重建。为了更好地描述投影过程，我们开发了一个像素顶点驱动模型（PVDM）作为投影仪，其性能与距离驱动模型（DDM）进行了比较。

结果

我们通过数值模拟评估了我们的方案，并通过在脂肪细胞中映射脂质含量来验证了它对 SRPT 的适用性。模拟结果表明，在使用稀疏视图数据的情况下，PVDM 的性能优于 DDM。即使投影数量减少到 15，我们的方案仍能保持重建图像的质量。基于细胞的实验结果表明，所提出的方案可以将当前基于 FBP 的 SRPT 方案的成像速度提高 9-12 倍，而不会牺牲可分辨的成像细节。