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Introduction to Tomography
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Tomography lecture 7.4. Session 1
Tomography lecture 7.4. Session 2
Tomography lecture 7.5. Session 1
Tomography lecture 7.5. Session 2
Tomography lecture 7.6.
Tomography lecture 7.7
Tomography lecture 7.8. Session 1
Tomography lecture 7.8. Session 2
Tomography lecture 7.8. Session 3
Tomography lecture 7.8. Session 4
Tomography lecture 7.8. Session 5
Individual project work
Project work
Mathematical preliminaries and examples
Steps of Gaussian elimination - Example 1 Section 3.2
Fourier's method for linear programming
Chapter 1 - Introduction
Chapter 2 - An overview of the process of CT
Chapter 3 - Physical problems associated with CT
Chapter 4 - Computer simulation of data collection in CT
Chapter 6 - Basic concepts of reconstruction algorithms
Chapter 11 - Algebraic reconstruction techniques
Discrete tomography overview - reconstruction of binary matrices
Algebraic aspects of discrete tomography
Graphs
Network flow algorithm for discrete tomography
Exercises
Tomography lecture 7.4. Session 1 ►
Debreceni Egyetem
https://tovabbkepzes.unideb.hu
Kapcsolat:
elearning@metk.unideb.hu
