faebstn96 / helix2fan Goto Github PK

Hi, do you have any experience with rebinning scans that contain multiple rotations? As far as I understood, rebinning works only for 2pi, which is also something I experienced in action. Could you give a hint on the parameters that could potentially control the behavior of the algorithm in this case?

There are two bright spots in the sinogram and reconstruction result of C002.
The first index and last index of helical projections are 0 and 1200.
Is it also because of the data?

Thank you for your assistance.

I got this error when I tried to run the codes
Traceback (most recent call last):
File "/home/wangzhe/wangzhe2/SV_Algorithms/helix2fan-master/main.py", line 67, in
run(parser)
File "/home/wangzhe/wangzhe2/SV_Algorithms/helix2fan-master/main.py", line 18, in run
raw_projections, parser = read_dicom(parser)
File "/home/wangzhe/wangzhe2/SV_Algorithms/helix2fan-master/read_data.py", line 82, in read_dicom
nu = data_headers[0].Rows

Hi！I wonder if this work support flying focal spot now?

I had all necessary packages installed, and tried running this on AAPM-Myo LDCT dataset (concretely on a single subject L109, containing multiple .dcm files), only to get the following error:

Processing scan scan_001.
Loading projection data: 100%|█████████████████████████████████████████████████| 4000/4000 [00:05<00:00, 750.04it/s]
Traceback (most recent call last):
  File "main.py", line 67, in <module>
    run(parser)
  File "main.py", line 18, in run
    raw_projections, parser = read_dicom(parser)
  File "/home/clma/projects/helix2fan-master/read_data.py", line 96, in read_dicom
    hu_factor = float(data_headers[0][0x70411001].value)  # WaterAttenuationCoefficient (see manual for HU conversion)
  File "/home/clma/miniconda3/envs/recon38/lib/python3.8/site-packages/pydicom/dataset.py", line 987, in __getitem__
    elem = self._dict[tag]
KeyError: (7041, 1001)

Any advice on that?

Hello, thx for your greate job!
I adopt the 2016Mayo challenge data, it has 40 thousands+ view of every patient.
I have tried to rebin it for four hours, is there any methods to accelerate the operation?
Many thx again

Hi, I get below error when trying to generate fan_beam projections from LDCT data.
I will try to investigate the problem further. I wonder if it you already know how to resolve it quickly?
python main.py --path_dicom /mnt/new/datasets/lowDoseCT/manifest-1648648375084/LDCT-and-Projection-data/N001/01-31-2022-NA-NA-63397/1.000000-Full\ Dose\ Projections-25858 --idx_proj_start 0 --idx_proj_stop 100

proj_rebinned = np.zeros((args.rotview, args.nu, args.nz_rebinned), dtype=np.float32) ValueError: negative dimensions are not allowed

Thanks,

I want to download the data from the TCIA library, but I don't have permission to download. What do I need to do to get the data？

Should there be a circle in the reconstruction result?

Thank you for sharing this repository!

I have two questions about the above-mentioned variables:

1. In Noo et al. "Single-slice rebinning method for helical cone-beam CT" (1999), the v direction is parallel to z. Should this be the rows instead of columns?
2. According to Dataset DICOM_User_manual, dv is the DetectorElementAxialSpacing of row elements, but in the parser, it says "Scanner detector pixel spacing in column direction".

Thanks,