OBJECTIVES
On completion of this webinar, participants will be able to:
1 Identify and describe the major system components of a CT scanner
2 Define the terms “image reconstruction” and “algorithm”
3 Identify major image reconstruction algorithms
4 Describe the main features of the FBP Algorithm
5 State the limitations of the FBP Algorithm in Low Dose CT Imaging
6 Define the terms “Iteration” and “Algorithm”
7 State the meaning of the term “system modeling”
8 Identify IR algorithms with and without modeling
9 Outline the technical features of a typical IR Algorithm
10 State the limitations of IR algorithms
11 Define the terms Artificial Intelligence, Machine Learning; and Deep Learning
12 Identify terms related to DL
13 Identify two commercially available DL-based Image Reconstruction Algorithms
14 Describe the essential features of GEs TrueFildelity DL-Based Algorithm