Aditya Panchal

Very sorry for the late reply (after coming with a quick one!) Did you get this issue resolved?

Are you referring to the `dvhcalc` module or the `DVH` class? Both are designed for 1 cGy bins. There hasn't been a request for alternate bin sizes as of yet....

I'll leave this issue open for a future contribution, but if you need bins resampled you can manually re-bin your histograms using `numpy`.

Thanks for submitting this issue and the related fix in #301. I don't think I ever ran across a DICOM DVH with a scaling factor other than 1.0, hence why...

Seems to be a pydicom issue? `DicomParser` will raise any underlying pydicom issues as part of the file reading process. Maybe you can submit an anonymized file to their issue...

@CHRIS-LIN-Jude we can definitely remove `defer_size=100`. However I had put it in to speed up parsing hundreds/thousands of files. Another way to bypass this is to read in the dataset...

Do you want to try asking this to the `pydicom` forum or project page? I am more than happy to modify the code here, but it seems like it is...

Great that you found a workaround. I poked around in your notebook and resizing the image is one way to achieve the desired result. Another way that can work is...

Wow that is great! I am glad you were able to repurpose the code! It would be interesting to roll this code back into dicompyler-core somehow. Maybe a new module...

Wow that is great! We'll have to see how to integrate this.