Matlab: inverse Radon transform

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SUMMARY

The discussion centers on reconstructing an image from a sinogram using the MATLAB function iradon(S, theta) from the Image Processing Toolbox. The user initially faced challenges due to the absence of specified projection angles. The solution involves determining the length of the sinogram matrix and defining theta as a range from 0 to (length(S)-1). The latest version of the Image Processing Toolbox allows users to customize the number of projections used in the reconstruction process.

PREREQUISITES
  • Familiarity with MATLAB programming
  • Understanding of image reconstruction techniques
  • Knowledge of sinograms in computed tomography
  • Experience with the Image Processing Toolbox in MATLAB
NEXT STEPS
  • Explore the MATLAB function iradon in detail
  • Learn about sinogram generation and its applications in image processing
  • Investigate advanced features of the Image Processing Toolbox for custom projections
  • Study the mathematical principles behind the Radon transform and its inverse
USEFUL FOR

This discussion is beneficial for image processing engineers, MATLAB users, and researchers involved in medical imaging and computed tomography who are looking to enhance their understanding of image reconstruction techniques.

tandoorichicken
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Hopefully someone know image processing toolbox well enough to answer my question!

I need to reconstruct an image from a sinogram, and I'm using the iradon(S,theta) function, where S is the sinogram image and theta is either a scalar or vector quantity of projection angles. However, we weren't given a set of projection angles to work with. Is there a way to look at the sinogram using image processing toolbox and extract the projection angle data?
 
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Nevermind, I got it.

In case anyone is wondering,
find the length of the matrix that defines the sinogram,
then specify theta as going from 0:(length(S)-1), where S is your sinogram matrix.

Apparently in the newest version of image processing toolbox you can define your own theta and simply use more or less projections than the image gives you.
 

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