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

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.

5 pages, 8 figures, published in Proceedings of the 16th Virtual International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine 2021 arXiv:2110.04143

References in corpus (1)

• Software Implementation of the Krylov Methods Based Reconstruction for the 3D Cone Beam CT Operator

Cited by in corpus (3)

• A novel use of time separation technique to improve flat detector CT perfusion imaging in stroke patients
• Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation Technique
• Liver Segmentation using Turbolift Learning for CT and Cone-beam C-arm Perfusion Imaging