ART algorithm - Image Reconstruction

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SUMMARY

The Algebraic Reconstruction Technique (ART) is a row-action algorithm utilized for image reconstruction. It operates by iteratively refining image estimates based on projection data. The convergence rate of ART is influenced by the product of line slopes, which is independent of the order of operations. This method is particularly relevant in fields requiring precise image reconstruction from limited data.

PREREQUISITES
  • Understanding of the Algebraic Reconstruction Technique (ART)
  • Familiarity with row-action algorithms
  • Knowledge of image reconstruction principles
  • Basic concepts of convergence rates in iterative methods
NEXT STEPS
  • Research the Kaczmarz method for further insights into row-action algorithms
  • Explore convergence analysis techniques for iterative algorithms
  • Study practical applications of ART in medical imaging
  • Learn about advanced image reconstruction methods beyond ART
USEFUL FOR

Researchers, engineers, and professionals in imaging science, particularly those focused on image reconstruction techniques and algorithm development.

nao113
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Homework Statement
Some iterative algorithms, for example, the ART algorithm, update the image very frequently. For those algorithms, the processing order of the data subsets is important. In this problem, we use the ART algorithm to graphically solve a system of linear equations {𝐿1, 𝐿2, 𝐿3, 𝐿4} with two variables as shown in the figure below. The initial estimated solution is 𝑋0. Solve the system with two different orders: (a) 𝐿1 → 𝐿2 → 𝐿3 → 𝐿4 and (b) 𝐿1 → 𝐿3 → 𝐿2 → 𝐿4 , respectively. Compare their performance in terms of convergence rate.
Relevant Equations
In the picture below
Screen Shot 2022-06-09 at 15.50.49.png

My answer:
The ART algorithm is a row-action algorithm.
I tried to draw it, but I am not sure whether it will answer the question
 

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