Explore the mathematics behind X-ray Computed Tomography (CT) imaging and learn advanced techniques for artifact suppression in this 53-minute SIAM-IS Virtual Seminar Series talk. Delve into the basic principles of CT image reconstruction and understand various artifacts that can degrade image quality. Discover recent developments in metal artifact reduction (MAR) and scattering artifact suppression, including algorithms for cone beam CT and industrial applications. Examine numerical experiments on patient data, crack detection, and simulated phantoms to gain practical insights into artifact reduction methods. Gain valuable knowledge on improving CT image quality for both medical and industrial applications.
Artifact Suppression in X-ray CT Images - SIAM-IS Virtual Seminar
Society for Industrial and Applied Mathematics via YouTube
Overview
Syllabus
Intro
Basic principle of CT: data representi
Mathematics in X-ray CT: Image reconstruction
Basic principle of CT image reconstruction
Artifact in X-ray CT
Metal artifact reduction
MAR algorithm: diagram
Numerical experiment: setting
Numerical experiment: patient data
Cone beam CT
The proposed algorithm for CBCT: diagram
Industrial CBCT: (1) Data preparation
Industrial CBCT: (2) Registration
Numerical experiment: registration
Numerical experiment: crack detection
Scattering Artifacts: X-ray interactions with matter
Scattering in X-ray CT
Frameworks for scattering suppression
(1) Monte Carlo Scatter Correction
(2) Kernel-based Scatter correction
New Approach: minimization functional
(1) simulated phantom
Conclusions
Numerical experiment: simulated phantom
Taught by
Society for Industrial and Applied Mathematics
