09-03-2010 04:41 PM
Has anyone here had experience with the inverse radon transformation for tomographic image reconstruction using LabVIEW acquired data?
09-03-2010 07:38 PM
We do x-ray and terahertz ct at NASA. The vendor who developed the terahertz ct system uses LabVIEW to acquire the data, and then uses the radon transform from matlab I believe to reconstruct the data from the sinograms which are stored as txt files. I have to look at the ct manual again - I think a matlab script is called directly versus the use of a mathscript node in LabVIEW. I can give you a contact at the vendor if you need more details.
Don
09-07-2010 09:19 AM
I use the Vision toolkit to perform the inverse radon transform. The attached is saved as LV 8.6
09-07-2010 08:24 PM
Great example!
Do you have any real data for us to play with? Could you save an example dataset to your VI as default value?
Thanks!
ZJ Gu
09-08-2010 11:06 AM
I am interested in an example as well and also what backprojection filter(s) you applied.
09-08-2010 11:44 AM
We are in the early stages of research and development. Currently we are collecting data to which we intend to apply the inverse radon transform using Matlab. I posted because I am interested in the experience of others. As to sharing data, this would require NDA's but if you are interested in contributing you can express this by emailing me at sraylab@gmail.com.
09-08-2010 11:51 AM
I think that both ZJ and I thought that rpursley8 might have example / example data....
09-08-2010 11:57 AM
Thanks for the clarification.
09-08-2010 02:31 PM
Here is an example (LV 8.6) that I have a slice of a 3-tube phantom. The backprojection filters are written in Mathscript so you need that toolkit to execute that part of the code. I placed that part of the code in a Diagram Disable Structure. The other frame has a constant that contains a Cosine filter. I also added a Wait function to the reconstruction loop so you can see the final image as it builds up.
09-08-2010 08:42 PM
Thanks!
This is a great example for showing the tomography reconstruction.
ZJ Gu