Improved handling of multi-type DICOM series
DICOM series can contain images with different ImageType tags, which can have different properties. This may mean that a single series might contain images with different dimensions or different data scaling parameters; in such cases, MRtrix3 applications would have failed to read the data, producing an error message indicating the reason. This is a common occurrence on Philips DWI data (which frequently includes a computed mean DWI image at the end), or Siemens reformatted (MPR) data (which typically includes a separate image indicating the orientation of the reformatted slices).
This update now splits these different ImageTypes out into distinct selections, making it possible to read these data correctly. This does mean that the datasets containing series with multiple ImageType data will show up with different numbering in the command-line selection menu than might have been the case to date (see discussion on GitHub for an example). This will hopefully only affect those users relying on these numbers to script their data imports - the numbers used will most likely need to be amended to match.