Package: RIA 1.7.2

RIA: Radiomics Image Analysis Toolbox for Medial Images

Radiomics image analysis toolbox for 2D and 3D radiological images. RIA supports DICOM, NIfTI, nrrd and npy (numpy array) file formats. RIA calculates first-order, gray level co-occurrence matrix, gray level run length matrix and geometry-based statistics. Almost all calculations are done using vectorized formulas to optimize run speeds. Calculation of several thousands of parameters only takes minutes on a single core of a conventional PC. Detailed methodology has been published: Kolossvary et al. Circ: Cardiovascular Imaging. 2017;10(12):e006843 <doi:10.1161/CIRCIMAGING.117.006843>.

Authors:Marton Kolossvary [aut, cre]

RIA_1.7.2.tar.gz
RIA_1.7.2.zip(r-4.7)RIA_1.7.2.zip(r-4.6)RIA_1.7.2.zip(r-4.5)
RIA_1.7.2.tgz(r-4.6-any)RIA_1.7.2.tgz(r-4.5-any)
RIA_1.7.2.tar.gz(r-4.7-any)RIA_1.7.2.tar.gz(r-4.6-any)
RIA_1.7.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
RIA/json (API)

# Install 'RIA' in R:
install.packages('RIA', repos = c('https://martonkolossvary.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/martonkolossvary/ria/issues

Datasets:
  • DICOM_codes - Rda containing DICOM header codes to include in _RIA_image_ object
  • Non_NRS - _RIA_image_ object of a plaque without the napkin-ring sign
  • NRS - _RIA_image_ object of a plaque with the napkin-ring sign

On CRAN:

Conda:

3.11 score 26 scripts 253 downloads 7 exports 6 dependencies

Last updated from:ff86944ef8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK143
source / vignettesOK184
linux-release-x86_64OK144
macos-release-arm64OK144
macos-oldrel-arm64OK162
windows-develOK110
windows-releaseOK90
windows-oldrelOK85
wasm-releaseOK125

Exports:load_dicomload_niftiload_npyload_nrrdmerge_RIA_imagesradiomics_allsave_RIA

Dependencies:abindbitopsoro.dicomoro.niftiRcppRNifti