Limited angle CBCT reconstruction issue
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- Dominant language
- Cuda
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Description
I tried to follow the closed issue #40 for limited angle CBCT reconstruction. In #40, fan-beam geometry was used and I use conebeam geometry:
numRows = 768
numCols = 1024
numAngles = 360
angles=360.0
pixelSize = 0.388
device_1=th.device("cuda:0")
leapct.set_conebeam(numAngles, numRows, numCols, pixelSize, pixelSize, 0.5*(numRows-1), 0.5*(numCols-1)-412, leapct.setAngleArray(numAngles, angles), 1000, 1500)
leapct.set_offsetScan(True)
leapct.set_volume(256, 256, 87, voxelWidth=2*0.908, voxelHeight=2.0)
leapct.print_parameters()
g = leapct.allocateProjections()
f = leapct.allocateVolume()
f = leapct.load_volume('..\pro_001_cbct_crop_fit.npy').astype(np.float32)
f = f/30
f = np.ascontiguousarray(f)
leapct.project(g,f)
If numAngles and angles are 360, the projections are correct:
but if numAngles and angles are other than 360, the projections are very strange and incorrect:
Could you let me know if there are some setting incorrect and how can I fix this issue?
Thank you very much.
Ryan
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the supplied cone-beam setup and reading the entry points set_conebeam, setAngleArray, set_offsetScan, and project. Compare the generated projections when numAngles and angles are 360 versus other values; done means non-360-angle projections are geometrically correct or the issue is narrowed to an incorrect setting.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- computer-vision
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 28/100