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As mentioned in your paper:
"We take the dataset from the AAPM 2016 CT low-dose grand challenge, where the data are acquired in a fan-beam geometry with varying parameters, as presented in Table 4. …
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Hi, in generateData.py line 178 ```projections = tigre.Ax(np.transpose(img, (2, 1, 0)).copy(), geo, data["train"]["angles"])[:, ::-1, :]```, why we need to transpose img from zyx to xyz and then rever…
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New Issues:
- [x] #120
- [ ] segment mandible with AI
- [ ] segment fibula with AI
- [ ] support metal inserts or slots
- [ ] set the setting once, since you'd not be changing you parameter soon,…
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Thanks for your contribution, it is wonderful.I wanted to use your code for the reconstruction of sparse-view CT with metal artifacts on deeplesion dataset, but the results are not good.At the 800th s…
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CT experiments are great, but we need to communicate well to mathematicians who just want to try their models in CT which ones are easier, harder, more interesting, more challening etc.
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I chose the RAS coordinates for each contact after aligning the post-op CT with the pre-op T1 in freeview. According to the steps in protocols.io, when load T1 volume, the “Resample to standard RAS sp…
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Hello, Dr.Kyle,
I am Graeme, a PhD student focus on CT reconstruction problem. Recently I do a simulation about AAPM dataset. But weirdly, LEAP seems have a problem about it.
I have preprocessed the…
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I'm currently playing around with FBP stuff, reconstructing only single arbitrary slices. To speed up computations, it would be nice if a backprojector could cache projection data in ASTRA memory via …
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I experimented quite a lot and noticed that by reducing the number of training views from 50 to 5, (equal angular spaced), the quality of the synthesized novel view degraded significantly, though the …
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For making open collaboration, discussion, sharing of screenshots and plans easier, we would need a single patient case (mandible and fibula CT) that we can publicly share.