Improvements in Micro-CT Method for Characterizing X-ray Monocapillary Optics

TL;DR

This paper enhances micro-CT characterization of X-ray monocapillary optics by introducing sparse sampling, GPU acceleration, and a geometric calibration algorithm, reducing scanning time and simplifying the process.

Contribution

It proposes a novel combination of sparse sampling, GPU acceleration, and geometric calibration to improve micro-CT characterization efficiency for XMCO.

Findings

Reduced scanning time through sparse sampling

Accelerated image reconstruction with GPU technology

Simplified calibration process without phantom

Abstract

Accurate characterization of the inner surface of X-ray monocapillary optics (XMCO) is of great significance in X-ray optics research. Compared with other characterization methods, the micro computed tomography (micro-CT) method has its unique advantages but also has some disadvantages, such as a long scanning time, long image reconstruction time, and inconvenient scanning process. In this paper, sparse sampling was proposed to shorten the scanning time, GPU acceleration technology was used to improve the speed of image reconstruction, and a simple geometric calibration algorithm was proposed to avoid the calibration phantom and simplify the scanning process. These methodologies will popularize the use of the micro-CT method in XMCO characterization.