IEEE Trans Biomed Eng. 2018 Aug;65(8):1892-1895. doi: 10.1109/TBME.2017.2770148. Epub 2017 Nov 7.
The purpose of this work is to introduce and study a novel imaging geometry for X-ray luminescence computed tomography (XLCT), termed coded aperture compressive X-ray luminescence tomography (CAC-XLCT).
CAC-XLCT is studied through simulations of X-ray and diffuse light propagation and the implementation of a compressed sensing image reconstruction algorithm.
CAC-XLCT is compared against cone beam XLCT considering simulated targets with varying complexity, and it is found to offer a remarkable enhancement in spatial resolution and image quality with only a small overhead in image acquisition time.
XLCT has been mainly investigated so far in pencil beam and cone beam excitation geometries which suffer from either very long image acquisition time or low spatial resolution and accuracy. CAC-XLCT presents a very promising alternative, which can offer simultaneously high spatial resolution, high image quality, and fast image acquisition, appropriate for in vivo imaging.
本工作旨在介绍和研究一种用于 X 射线发光计算机断层成像（XLCT）的新型成像几何结构，称为编码孔径压缩 X 射线发光断层成像（CAC-XLCT）。
通过模拟 X 射线和漫射光的传播以及实现压缩感知图像重建算法来研究 CAC-XLCT。
将 CAC-XLCT 与锥形束 XLCT 进行比较，考虑了具有不同复杂度的模拟目标，结果发现，与锥形束 XLCT 相比，CAC-XLCT 在空间分辨率和图像质量方面有显著提高，而图像采集时间仅略有增加。
迄今为止，XLCT 主要在铅笔束和锥形束激发几何结构中进行研究，这些结构要么采集时间非常长，要么空间分辨率和精度低。CAC-XLCT 提供了一种很有前途的替代方案，它可以同时提供高空间分辨率、高图像质量和快速图像采集，适用于体内成像。
