oro.dicom 0.3.3
[This article was first published on Rigorous Analytics, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
The R package oro.dicom contains data input/output functions for medical imaging data that conform to the Digital Imaging and Communications in Medicine (DICOM) standard, part of the Rigorous Analytics bundle.Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
The latest version of oro.dicom (0.3.3) contains a substantial number of updates:
- dicomInfo = readDICOMFile and dicomSeparate = readDICOM, but the old function calls still exist for now to smooth the transition.
- readDICOM now accepts a single file as input, creating the list-of-lists structure with one element in $hdr and $img.
- Modest speed improvements in readDICOMFile from a thorough use of Rprof().
- Added txtProgressBar() to readDICOM and dicomTable.
- Sub-routines used in readDICOM have been made private.
- Added default sform information to dicom2nifti.
- Miscellaneous bug fixes.
- Added “instance” input parameter to create4D so the user can decide whether or not to access the “InstanceNumber” DICOM header field for slice ordering.
To leave a comment for the author, please follow the link and comment on their blog: Rigorous Analytics.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.