extrapolation and iteration for the problem of lfov

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Extrapolation and iteration for the problem of LFOV Dr. Shuangren Zhao Research Associate Radiation Physics Department Princess Margaret Hospital

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Extrapolation and iteration for the problem of LFOV. Dr. Shuangren Zhao Research Associate Radiation Physics Department Princess Margaret Hospital. What is LFOV and ROI. LFOV is “Limited field of view” ROI is region of interest Crop is the image inside the ROI - PowerPoint PPT Presentation

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Page 1: Extrapolation and iteration  for the problem of LFOV

Extrapolation and iteration for the problem of LFOV

Dr. Shuangren Zhao

Research Associate

Radiation Physics Department

Princess Margaret Hospital

Page 2: Extrapolation and iteration  for the problem of LFOV

What is LFOV and ROILFOV is “Limited field of view”

ROI is region of interest

Crop is the image inside the ROI

Crop outside ROI is the image outside the ROI

Projections we study are truncated

Page 3: Extrapolation and iteration  for the problem of LFOV

The Influence of truncated projections

Page 4: Extrapolation and iteration  for the problem of LFOV

Phantoms1. Shepp-Logan head phantom2. Body phantom

3. Modified Shepp-Logan head phantom4. Strong Modified Shepp-Logan head phantom5. further Modified Shepp-Logan head phantom 6. crops for the ROI

Page 5: Extrapolation and iteration  for the problem of LFOV

Truncated projectionsand their direct reconstruction

Page 6: Extrapolation and iteration  for the problem of LFOV

Extrapolations

Zero extrapolation *0 (a)Constant extrapolation *c (b)Linear extrapolation *(bx+c)Exponential extrapolation *exp(-x/αL)Exponential extrapolation *exp(-(x/αL)^2) (c)Cos extrapolation *cos(x)Quadratic extrapolation *(ax^2+bx+c) (d)Mixed extrapolation *(ax^2+bx+c)exp(-x/α) (e)Mixed extrapolation *(ax^2+bx+c)exp(-(x/α)^2) (f)Original projection without extrapolation (g)

Page 7: Extrapolation and iteration  for the problem of LFOV

Extrapolations for phantom 3

Page 8: Extrapolation and iteration  for the problem of LFOV

Extrapolations for phantom 3 and 4

Page 9: Extrapolation and iteration  for the problem of LFOV

Quadratic extrapolation(ax^2+bx+c) (d)

Projection should positive:

0 5 10 15 20 25 30 35-100

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0 5 10 15 20 25 30 350

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Page 10: Extrapolation and iteration  for the problem of LFOV

Update from quadratic extrapolation to mixed extrapolation {exp(-x/aL)(ax^2+bx+c)}

500 550 600 650 700 750

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500 550 600 650 700

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Page 11: Extrapolation and iteration  for the problem of LFOV

Different fits for the boundary values:1. The values of projections 2. The differential values of the projections

Page 12: Extrapolation and iteration  for the problem of LFOV

Update for fitting boundary values

Page 13: Extrapolation and iteration  for the problem of LFOV

Update for the mixed extrapolation of (ax2+bx+c)exp(-x/αL)

Page 14: Extrapolation and iteration  for the problem of LFOV

Update for the mixed extrapolation of (ax2+bx+c)exp(-x/αL)

Page 15: Extrapolation and iteration  for the problem of LFOV

The distances of reconstructed images to the image of phantom

ideal distance: reconstruction with non-truncated projections.

Page 16: Extrapolation and iteration  for the problem of LFOV

Reconstructions with different extrapolationsusing phantom 1

 

Page 17: Extrapolation and iteration  for the problem of LFOV

Reconstructions with different extrapolationsusing phantom 2

Page 18: Extrapolation and iteration  for the problem of LFOV

Reconstructions with different extrapolations using phantom 3

 

 

 

 

Page 19: Extrapolation and iteration  for the problem of LFOV

Reconstructions with different extrapolations using phantom 4

 

Page 20: Extrapolation and iteration  for the problem of LFOV

Reconstructions with different extrapolations using phantom 5

 

Page 21: Extrapolation and iteration  for the problem of LFOV

Iterative reconstruction algorithm:

Page 22: Extrapolation and iteration  for the problem of LFOV

Projections filter (for phantom 2)

Page 23: Extrapolation and iteration  for the problem of LFOV

Iterative reconstruction results for the phantom 1with exp(-(x/αL)^2) extrapolation α=0.5

Page 24: Extrapolation and iteration  for the problem of LFOV

Iterative reconstruction results for the phantom 2 with exp(-(x/αL)^2) extrapolation α =0.5

Page 25: Extrapolation and iteration  for the problem of LFOV

Iterative reconstruction results for the phantom 3 with exp(-(x/αL)^2) extrapolation α =0.5

Page 26: Extrapolation and iteration  for the problem of LFOV

Iteration results for phantom 5 with exp(-(x/αL)^2)(ax^2+bx+c) and exp(-(x/αL)^2)

extrapolation α=0.5

Page 27: Extrapolation and iteration  for the problem of LFOV

Further find the optimal parameters for for phantom 5

Page 28: Extrapolation and iteration  for the problem of LFOV

The stability of the parameters

Page 29: Extrapolation and iteration  for the problem of LFOV

Further find the optimal parameters for for phantom 4

Page 30: Extrapolation and iteration  for the problem of LFOV

Further find the optimal parameters for for phantom 5

Page 31: Extrapolation and iteration  for the problem of LFOV

The stability of the parameters

Page 32: Extrapolation and iteration  for the problem of LFOV

Find the optimal parameters for for phantom 4

Page 33: Extrapolation and iteration  for the problem of LFOV

Reconstruction with …menthod

Errors of iterative reconstruction without truncation

Phantom 5Iterative reconstructionwithout truncation

Crop of Phantom

iterative Reconstructionwith truncation

Reconstruction without truncation

Errors reconstruction without truncation

Errors of iterative reconstruction with truncation

Number of Projections=180

Distance=0.0253Distance=0.0221Distance=0.0348Distance=0

Page 34: Extrapolation and iteration  for the problem of LFOV

Reconstruction with …menthod

Phantom 5

Crop of Phantom

Reconstruction without truncation

Iterative reconstructionwithout truncation

Errors reconstruction without truncation

Errors of iterative reconstruction without truncation

iterative Reconstructionwith truncation

Errors of iterative reconstruction with truncation

Projections:360, 1st=mix 2, 2ed=exp 2, α1=0.65, α2=0.068,k=-1.04

Distance=0 Distance=0.0167 Distance=0.0145 Distance=0.0191

Page 35: Extrapolation and iteration  for the problem of LFOV

Contradiction

Our shield (extrapolation) is the best shield, it can resist all spears in the world.

Our spear (iteration) is the best spear, it can destroy all shields in the world.

Which one would you like to buy? The extrapolation or the iteration?