Algorithm for the reconstruction of dynamic objects in CT-scanning using optical flow
It addresses motion artifacts in CT imaging for practitioners needing dynamic object reconstruction, but validation is only on simulated data.
The paper presents a method using optical flow to estimate and correct motion artifacts in CT scans from multiple successive scans, validated on simulated data.
Computed Tomography is a powerful imaging technique that allows non-destructive visualization of the interior of physical objects in different scientific areas. In traditional reconstruction techniques the object of interest is mostly considered to be static, which gives artefacts if the object is moving during the data acquisition. In this paper we present a method that, given only scan results of multiple successive scans, can estimate the motion and correct the CT-images for this motion assuming that the motion field is smooth over the complete domain using optical flow. The proposed method is validated on simulated scan data. The main contribution is that we show we can use the optical flow technique from imaging to correct CT-scan images for motion.