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1
Intro
2
Basic principle of CT: data representi
3
Mathematics in X-ray CT: Image reconstruction
4
Basic principle of CT image reconstruction
5
Artifact in X-ray CT
6
Metal artifact reduction
7
MAR algorithm: diagram
8
Numerical experiment: setting
9
Numerical experiment: patient data
10
Cone beam CT
11
The proposed algorithm for CBCT: diagram
12
Industrial CBCT: (1) Data preparation
13
Industrial CBCT: (2) Registration
14
Numerical experiment: registration
15
Numerical experiment: crack detection
16
Scattering Artifacts: X-ray interactions with matter
17
Scattering in X-ray CT
18
Frameworks for scattering suppression
19
(1) Monte Carlo Scatter Correction
20
(2) Kernel-based Scatter correction
21
New Approach: minimization functional
22
(1) simulated phantom
23
Conclusions
24
Numerical experiment: simulated phantom
Description:
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
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