- 139 Views
- Uploaded on
- Presentation posted in: General

X-Ray Computed Tomography

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

X-Ray Computed Tomography

- Radon Transform
- Fourier Slice Theorem
- Backprojection Operator
- Filtered Backprojection (FBP) Algorithm
- Implementation Issues
- Total Variation Reconstruction

X-Ray Tomography

- “Tomography” comes from Greek and means cross-sectional representations
of a 3D object

- X-ray tomography, introduced by Hounsfield in 1971, is usually called
- computed tomography (CT)

- CT produces images of human anatonomy with a resolution of about 1mm
and an attenuation coefficient attenuation of about 1%

L

S

body

dl

R

CT images (from wikipedia)

X-Ray Tomography

Radon transform

Example of Radon Transform: sinogram

Example of Radon Transform: sin0gram

Fourier Slice Theorem

Fourier Slice Theorem: Illustration

Fourier Slice Theorem: Consequences

1- The solution of the inverse problem , when exists,

is unique

2- The knowledge of the the Radom transform of implies the

knowledge of the Fourier transform of

is spacelimited

can be computed from samples

taken apart

Fourier Slice Theorem: Consequences

Assumnig that is bandlimited to then it is possible to restore

with a resolution

is the sum of all line integrals that crosses the point

o

Backprojection Operator

Backprojection Operator

is the adjoint operator of when the usual inner product is

considered for both the data functions and the objects

Backprojection Operator

Filtered Backprojection Algorithm

periodic function of

Filtered Backprojection Algorithm

From the Fourier slice theorem

Defining the filtered backprojections as

Then

Filtered Backprojection

Hann filter

Ram-Lak filter