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Title Page
Contents
ABSTRACT 10
Chapter 1. Introduction to Computed Tomography 11
1.1. Brief Working Principle of CT 13
1.2. Two Important CT Reconstruction Methods 15
Chapter 2. Mathematical Model for CT 19
2.1. Mathematical Representation of the X-ray Projection 19
2.2. Mathematical Model for Computed Tomography : Radon Transform 21
2.3. Projection-Slice Theorem 26
Chapter 3. CT Image Reconstruction Algorithms 29
3.1. Filtered Inversion Algorithms for CT 29
3.1.1. Filtered back Projection 29
3.1.2. Ram-Lak Filter 32
3.1.3. Shepp-Rogan Filter 32
3.2. Algebraic Reconstruction Technique (ART) 33
Chapter 4. Numerical Experiment 37
4.1. Rectangular image 37
4.2. Logan phantom without noise 40
4.3. Logan phantom with noise 42
Chapter 5. Conclusion 45
Appendix A. Bibliography 46
국문요약 49
FIGURE 1.1. Flowchart of the working principle of CT 13
FIGURE 2.1. Schematic of the attenuation of X-rays through a single homogeneous object 19
FIGURE 2.2. Schematic of the attenuation of X-rays passing through an object 20
FIGURE 3.1. In algebraic methods a square grid is superimposed over the unknown image 34
FIGURE 4.1. Rectangular Toy Model with two different materials : (a) Original Image ; (b) Its Sinogram ; (c) FBP reconstructed image... 39
FIGURE 4.2. Logan-Phantom Model without noise : (a) Original Image ; (b) Its Sinogram ; (c) FBP reconstructed image ; (d) Differ-... 41
FIGURE 4.3. Logan-Phantom Model with noise : (a) Original Image ; (b) Its Sinogram ; (c) FBP reconstructed image ; (d) Difference... 43
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