OnkoDICOM was created with Radiation Oncologists to allow Radiation Oncologists to do research on DICOM standard image sets (DICOM-RT, CT, MRI, PET) using open source technologies, such as pydicom, dicompyler-core, PySide6, PIL, and matplotlib. OnkoDICOM is cross platform, open source software, and welcomes contributions. OnkoDICOM was inspired by dicompyler.
The current DVH.CSV export has columns in 'centiGray' and rows in '%'.
Change output to columns in '%' (100%, 99.5%, 99.0%, .....) and rows in 'centiGray' (no decimals, normal rounding). This will produce a spreadsheet with a fixed number of columns irrespective of the prescribed radiation dose.
The new CSV files contain what I would refer to as Volume Dose Histograms, rather than Dose Volume Histograms (given that the axes have essentially been swapped).
The current DVH.CSV export has columns in 'centiGray' and rows in '%'.
Change output to columns in '%' (100%, 99.5%, 99.0%, .....) and rows in 'centiGray' (no decimals, normal rounding). This will produce a spreadsheet with a fixed number of columns irrespective of the prescribed radiation dose.