3rd Scientific Symposium on Photon Counting Detector CT October 4-5, 2018
Pre-Meeting Materials These articles are protected by copyright law and are being provided solely for educational purposes. Any other use of the material is prohibited.
Evaluates iodine contrast-to-noise ratio as a function of phantom size and tube potential and compares conventional and PCD CT images of human anatomy.
Describes the purpose of the data completion scan and demonstrates that extremely low doses can be used for this without impacting the quality of PCD CT images.
Measures the electronic noise of the CounT PCD system and compares it to conventional CT and demonstrates the reduction in electronic noise artifacts with PCD.
This paper introduces and characterizes the performance of a 250-micron slice thickness acquisition mode. Noise and spatial resolution equivalent to the ultra high resolution mode on a conventional Siemens CT system can be achieved using half the radiation dose. This work was performed using a service mode implementation.
Two new PCD acquisition modes – Sharp and UHR – are described and quantitatively characterized. Patient images are provided to demonstrate the potential clinical impact.
A .25 mm detector mode on a photon-counting CT system was utilized to image a phantom, animal model, and patients, and found to improve resolution while reducing noise compared to standard resolution.
Anthropomorphic lung nodules are used to demonstrate the improved volume quantification and shape differentiation of the new UHR acquisition mode on the CounT PCD CT system.
Evaluated the performance and clinical feasibility of 0.25mm resolution mode of a DE PCD CT for coronary stent imaging and compared the results to state-of-the-art DE EID CT.
Multi Energy Imaging Performance and Decomposition
Using vials of iodine of known concentrations and various sizes of water phantoms, the accuracy of CT numbers in virtual monoenergetic images and iodine concentration in iodine maps were assessed for the Flash, Force and CounT systems.
Iodine, gadolinium, and bismuth were imaged within an animal model using a photon-counting CT system and material decomposition was performed to calculate the concentration of contrast-agents and demonstrate tissue enhancement in multiple phases for a single acquisition.
Image domain material decomposition was performed using a novel iterative denoising algorithm that uses prior information from the low-energy threshold images to reduce errors in material decomposition.
A novel multi-energy nonlocal means (MENLM) algorithm is described that uses redundancies in spatio-spectral features to reduce noise by up to 80% while maintaining spatial resolution, shape of the noise-power-spectrum, and CT number accuracy.
A novel iterative reconstruction technique is described and its ability to reduce noise while maintaining ultra-high spatial resolution is demonstrated.