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Zooming tomography in X-Ray CT Benjamin Yvernault 1

Zooming tomography in X-Ray CT

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Zooming tomography in X-Ray CT. Benjamin Yvernault. Summary. The problem Context of the study Solution 1 : supplement of the s inogram Solution 2 : subtraction of sinograms Results In 3D. The Problem :. Acquisition of the data :. Blue : object - PowerPoint PPT Presentation

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Page 1: Zooming tomography in X-Ray CT

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Zooming tomography in X-Ray CT

Benjamin Yvernault

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1. The problem2. Context of the study3. Solution 1 : supplement of the sinogram4. Solution 2 : subtraction of sinograms5. Results6. In 3D

Summary

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The Problem :

Acquisition of the data :

Blue : objectRed : low resolution (lines integrals/source position/trajectory)Green : high resolution (lines integrals/source position/trajectory)Black : detector

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Data LR -> not truncated but low resolution

Data HR -> better resolution but truncated

Question : How to reconstruct the object with a better resolution using the BR and HR truncated

data?

The Problem (2) :

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In 2D

Using MATLAB

Fan-beam geometry ( equi-spaced intervals )

Acquisition of the data «low resolution » (LR) and  « high resolution » (HR) 

Context of the Study

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The Goal :Complete the sinogram HR by estimation of the line

integrals with the reconstruction of the object in LR

Solution 1 : supplement of the sinogram

Blue : objectRed line : low resolution (lines integrals/source position/trajectory)Green : high resolution (lines integrals/source position/trajectory/supplement on the detector)Black : detector

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The Goal :Estimate the sinogram HR from the object (where you take off

the part of the object which can be reconstruct in HR) and subtract it to the HR sinogram

Solution 2 : subtraction of sinograms (1)

Blue : objectRed line : low resolution (lines integrals/source position/trajectory)Green : high resolution (lines integrals/source position/trajectory)Black : detector

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Solution 2 : subtraction of sinograms (2)

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Parameters :

D = focalR_LR = distance source - object LR / R_HR = distance source - object HRr = radius of the objectnS = number of pixels on the detectornβ = number of projectionsx*y, nx*ny = parameters for the reconstruction of the object

Results : Parameters

D R_LR R_HR r ns nβ x*y Nx*Ny

9 6 3 0.8 64 128 1.05r*1.05r

256*256

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Method 1 : Data

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Method 1 : Sinograms HR

Error = | Sinogram theoretical – Sinogram supplement|

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Method 1 : Reconstructions

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Method 1 : Plans

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Method 2 : Data

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Method 2 : Sinograms HR

Error = | Sinogram theoretical – Sinogram supplement|

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Method 2 : Reconstructions

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In 3D : Data

Low resolution High resolution

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In 3D : Sinograms

Method supplement Method subtract

Error = | Sinogram theoretical – Sinogram supplement/subtract|

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In 3D : Reconstruction using the subtract’s method

Theoretical Subtract

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If you have any questions?

Thank you for your attention!