TIGRE
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CERN
TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox
When reconstructing a limited FOV datasets, iterative algorithms will cause severe artifacts in the shape of a halo around the image. This can be solved by reconstructing the image in...
Some numbers about helical CT scan simulation is given in this line [d13_HelicalGeometry.py](https://github.com/CERN/TIGRE/blob/master/Python/demos/d13_HelicalGeometry.py#L39C1-L43C60) ## Expected Behavior offOrigin behaviour should be specified and each of the numbers should be defined. Besides,...
It seems like the ART reconstruction algorithm family can only be used in con-beam reconstruction. Our research is based on 2-D CT scan, so can you consider that transfer those...
## Expected Behavior I want to reconstruct an image consisting of 1024 projections, each with a size of 2048 x 3072 TIGRE parameters ----- Geometry parameters Distance from source to...
I have seen versions of this paper implemented in various context: https://link.springer.com/article/10.1007/s12194-024-00790-1 its simple enough that having it in TIGRE may help
I'm trying to use tigre for reconstruction cone-beam CT images with variable scan geometries. However, I encountered unexpected results for a test data set with simulated projections of a simple...
- python version: 3.7 - OS:ubuntu 18.4 - CUDA version:12.2
I can run iterative algorithms such as ossart 2D parallel beam CT reconstruction smooth on ubuntu. But when it comes for cone-beam( for 2d it is fanbeam) The running just...
I need to reconstruct some data from our bench top CT system, and I am having trouble because the data is very large. Our detector is 4096^2 and we collected...
