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jrkerns / pylinac

An image analysis library for medical physics
https://pylinac.readthedocs.io/en/latest/
MIT License
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Add Support for PTW EPID QC Phantom #148

Open tbezo opened 5 years ago

tbezo commented 5 years ago

Hi.

In our clinic we are using equipment from PTW. Would it be a lot of work to add support for the PTW EPID QC Phantom (http://www.ptw.de/2857.html)?

I uploaded a DICOM Image from that phantom to your Dropbox if you would like to have a closer look.

jrkerns commented 5 years ago

Thanks for that. Although I have a big backlog I'm always willing to add new features.

However, I would need a range of images to evaluate so that the algorithm is robust and can handle varying circumstances. If you can take images at a few different SSDs (assuming phantom at iso), a few with rotations relative to the panel, and a few with different acquisition techniques (kVp, mAs, etc) that would give me a range of images to test against.

tbezo commented 5 years ago

Hi. Thanks for your quick response. I am very thankful that you are considering to add the PTW Phantom. Just put it at the End of your list or wherever you deem fit.

Hopefully I will be able to upload more images soon. The EPID QC Phantom is only specified for 4-25 MV beams, so I would skip the different mAs/kVp values. And because it is quite large (25 cm x 25 cm) I will have to use our Truebeam with it's larger EPID to create images with different Source Imager Distances.

randlet commented 3 years ago

@tbezo I didn't realize there was a feature request open for this. A while ago I added some experimental support for the PTW EPID QC here: https://github.com/qatrackplus/pylinac/blob/qat_2.5.0/pylinac/planar_imaging.py#L952 but it is not well tested at this point. Perhaps you could try it out at some point.

MohammadSalehi72 commented 3 years ago

@tbezo I didn't realize there was a feature request open for this. A while ago I added some experimental support for the PTW EPID QC here: https://github.com/qatrackplus/pylinac/blob/qat_2.5.0/pylinac/planar_imaging.py#L952 but it is not well tested at this point. Perhaps you could try it out at some point.

Dear Randlet;

Thank you for the link. Did you test the "PTWEPIDQC" class for the real application? and may I asked you to share with me some examples of PTW EPID QC Phantom images?

randlet commented 3 years ago

Hi @MohammadSalehi72, the analysis is still being evaluated, but I do not have images I can share.