Application of Time Separation Technique to Enhance C-arm CT Dynamic Liver Perfusion Imaging

TL;DR

This paper introduces a Time Separation Technique (TST) to improve dynamic liver perfusion imaging with C-Arm CT by denoising data, accelerating reconstruction, and enhancing image quality, demonstrated through animal experiments.

Contribution

The paper presents a novel application of TST to C-Arm CT perfusion imaging, improving speed and image quality compared to existing methods.

Findings

TST effectively denoises C-Arm CT data.

Reconstruction speed is significantly increased.

Perfusion images are comparable to standard CT results.

Abstract

Perfusion imaging is an interesting new modality for evaluation and assessment of the liver cancer treatment. C-Arm CT provides a possibility to perform perfusion imaging scans intra-operatively for even faster evaluation. The slow speed of the C-Arm CT rotation and the presence of the noise, however, have an impact on the reconstruction and therefore model based approaches have to be applied. In this work we apply the Time separation technique (TST), to denoise data, speed up reconstruction and improve resulting perfusion images. We show on animal experiment data that Dynamic C-Arm CT Liver Perfusion Imaging together with the processing of the data based on the TST provides comparable results to standard CT liver perfusion imaging.