Hi Simon,

Thanks for the script. I was wondering if you could also share the csv or a 
dummy file? I'm unsure of what the second column contains. An offset distance 
to the rotation axis? Or the height?

Which distance was known in your example? From the code it looks like the 
distance to the rotation axis?

Sepp

On 22 Nov 2016, at 08.01, Simon Rit 
<[email protected]<mailto:[email protected]>> wrote:

Hi Sepp,
I did do a calibration script on a micro CT platform. The idea was that I had a 
bb taken from 4 different view points at 4 different heights with a known 
distance. Their projected position was segmented beforehand on the projections 
and I tried to match the projections by optimizing the calibration (which we 
see in before.pdf and after.pdf). I don't think it's a good script, e.g., 
because I tried to find 8 parameters when 7 are sufficient for my system (see, 
e.g., this 
paper<http://iopscience.iop.org/article/10.1088/0031-9155/45/11/327/meta;jsessionid=8DD0F1160098FBC65BB161A0257FBA75.c3.iopscience.cld.iop.org#>).
 But this gives you a starting point to develop your own script which will 
hopefully be better. Please share if you do something from it!
Thanks,
Simon

On Sat, Nov 19, 2016 at 8:51 PM, Sepp de Raedt 
<[email protected]<mailto:[email protected]>> wrote:
Hi RTK users,

I'm interested in reconstructing images acquired by a fluoroscopy system 
rotating around a knee phantom. Unfortunately, I've been unsuccessful so far. I 
recognize some of the phantom in the reconstructed image, but it contains 
double contours and the shape is deformed.

I think the issue might be incorrect geometry specification. I have images also 
including a phantom containing markers for which we know the coordinates, which 
should allow us to calibrate the system. On the wiki on image quality, I saw 
that some users had developed scripts to do the calibration? Would someone be 
willing to share it?

Kind regards,
Sepp

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<before.pdf>
<calib.py>

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