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Filtering Removing components from an image is know as “image filtering”. If we remove the high frequency components, we tend to remove the noise. This.

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Presentation on theme: "Filtering Removing components from an image is know as “image filtering”. If we remove the high frequency components, we tend to remove the noise. This."— Presentation transcript:

1 Filtering Removing components from an image is know as “image filtering”. If we remove the high frequency components, we tend to remove the noise. This smooths the image.

2 Image Filtering

3 Original Image

4 Filtered, or Smoothed Image

5

6 Time of Flight Systems

7 Lines of Response Revisited. Coordinate localization (Forming the LOR)
Image formation In PET Lines of Response Revisited. Timing Window Coordinate localization (Forming the LOR) Sinogram Image Reconstruction

8 Image Reconstruction Direct Image Reconstruction BackProjection
Algebraic Reconstruction

9 Time of Flight Systems Direct Image Reconstruction

10 Backprojection

11

12 Iterative “Algabraic” Reconstruction

13 Pixel Weighting Factors


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