The latest research in advanced CT image reconstruction methods, modeling, and image quality are presented in four presentations from The I-STAR Lab at the 2014 International CT Meeting in Salt Lake City (June 23 – 26). Highlights include:
- W. Zbijewski et al., “A Sparse Monte Carlo Method for High-Speed, High-Accuracy Scatter Correction for Soft-Tissue Imaging in Cone-Beam CT.” As illustrated in the animation at left, cone-beam CT can suffer from image artifacts that pose a major challenge to soft tissue visibility and diagnostic accuracy in imaging of the head. Research presented by Dr. Zbijewski shows that high-speed Monte Carlo methods can be used for high-quality scatter correction, and combined with a comprehensive framework for correction of artifacts arising from lag, beam hardening, veiling glare, and other sources of image degradation, can yield image quality suitable to imaging of subtle pathology such as intracranial hemorrhage and traumatic brain in jury.
- J. Web Stayman et al., “Integration of Component Knowledge in Penalized Likelihood Reconstruction with Morphological and Spectral Uncertainties.” By extending the framework for Known-Component Reconstruction (KCR) to deformable objects and a polyenergetic x-ray beam, research presented by Dr. Stayman offers to improve image quality and reduce radiation dose in CT-guided procedures such as needle biopsy.
- S. Tilley et al., “Iterative CT Reconstruction Using Models of Source and Detector Blur and Correlated Noise.” Research presented by Steve Tilley shows how model-based reconstruction can be improved by incorporating models for blur and noise correlation, showing particular advantage over conventional models for scanner configurations in which focal spot blur is a significant source of image degradatation.
- A. S. Wang et al., “Nesterov’s Method for Accelerated Penalized Likelihood Statistical Reconstruction for C-arm Cone-Beam CT.” For image-guided surgery, the ability to form high-quality cone-beam CT using a mobile C-arm offers important advances in surgical precision and safety. Research presented by Adam Wang shows that not only can advanced reconstruction methods be used to improve CBCT image quality for soft tissue imaging and reduce radiation dose, but also that such images can be formed on practical time scales in the operating room (less than 2 minutes) using Nesterov’s method for accelerated convergence.