Alignment Solution for CT Image Reconstruction by Fixed Point and Virtual Rotation Axis

TL;DR

This paper introduces a novel automated method for X-ray CT image reconstruction that uses a fixed point and a new physical concept called Center of Attenuation to improve image quality despite common errors.

Contribution

The paper proposes a new algorithm utilizing the fixed point and Center of Attenuation concept to enhance CT image reconstruction robustness against translation and tilt errors.

Findings

Effective in correcting translation errors

Improves image quality with vertical tilt errors

Demonstrates promising performance in error correction

Abstract

Since X-ray tomography is now widely adopted in many different areas, it becomes more crucial to find a robust routine of handling tomographic data to get quality reconstructed images. Though there are several existing techniques, it seems helpful to have a more automated method to remove the possible errors that hinder clearer image reconstruction. Here, we proposed an alternative method and new algorithm using the sinogram and the fixed point. A new physical concept of Center of Attenuation (CA) was also introduced to figure out how this fixed point is applied to the image reconstruction with errors we further categorized. Our technique showed a promising performance in restoring images with translation and vertical tilt errors.