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Segmentation fault (core dumped) #65
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Hello, I am trying to generate curved projections following the demo d09_curved_polygon_detector_array.py. The raw ct images with shape (nz, 512, 512). Using the default geometry configuration, I got the reconstructed images in 100 angles like figure 1. But when I changed the geometry, e.g. numSticks=64 or numCols_per_module=32, I got Error: Segmentation fault (core dumped). Also, could you please give me some suggestions to enlarge the FOV? Thank you. |
Replies: 2 comments
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That demo script is for when your raw projection data is composed as an arc of several modules. Is this really what you want or is your data just cone-beam with a curved array? If it is just a simple curved array, just follow the first demo script but run this command: To enlarge the FOV, just define a bigger reconstruction volume and to enlarge the circular mask use this function; https://leapct.readthedocs.io/en/latest/ctvolume.html#leapctype.tomographicModels.set_diameterFOV |
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I assume this fixed your problem, so I am going to close this discussion. Feel free to reopen if further issues arise. |
That demo script is for when your raw projection data is composed as an arc of several modules. Is this really what you want or is your data just cone-beam with a curved array?
If it is just a simple curved array, just follow the first demo script but run this command:
leapct.set_curvedDetector()
To enlarge the FOV, just define a bigger reconstruction volume and to enlarge the circular mask use this function;
leapct.set_diameterFOV(d)
https://leapct.readthedocs.io/en/latest/ctvolume.html#leapctype.tomographicModels.set_diameterFOV