I am facing a problem with image resconstruction and hope you could help me to find a way to do what I am looking for. I will try to make it as clear as possible :
I have a 2D dimensional non uniform (7cm diameter) beam and a 1D detector to image that beam. The detector is a square of 7x7 cm and is composed of 10 vertical strips. The beam is incoming onto the detector perpendicularly and produce a 1D image (10 strips) . Then I rotate the detector by 1° and acquire another image and do this for angles between 0 and 180°. With that set of images I would like to reconstruct the 2D-image of the beam.
I would like to know if there is some premade function to do this. I have looked around the iradon function but I fear this solution does not correspond to my problem since it is made for 1D projection gathered rotating around the object.
From my problem what I need (I think) is a function that superimpose the 1D images all together and normalize the values. I am not really sure whether or not I have to consider my images as 1D images or 2D-like images (10 x 10 times the same value for exemple)...
If anyone as some ideas on how to do this, please fell free to help.
Thanks a lot in advance