Calculates first-order statistical metrics of RIA_image. First-order metrics discard all spatial information. By default the $orig image will be used to calculate statistics. If use_slot is given, then the data present in RIA_image$use_slot will be used for calculations. Results will be saved into the $stat_fo slot. The name of the subslot is determined by the supplied string in $save_name, or is automatically generated by RIA.
first_order(
RIA_data_in,
use_type = "single",
use_orig = TRUE,
use_slot = NULL,
save_name = NULL,
verbose_in = TRUE
)RIA_image containing the statistical information.
RIA_image.
string, can be "single" which runs the function on a single image, which is determined using "use_orig" or "use_slot". "discretized" takes all datasets in the RIA_image$discretized slot and runs the analysis on them.
logical, indicating whether to use image present in RIA_data$orig. If FALSE, the modified image will be used stored in RIA_data$modif.
string, name of slot where data wished to be used is. Use if the desired image is not in the data$orig or data$modif slot of the RIA_image. For example, if the desired dataset is in RIA_image$discretized$ep_4, then use_slot should be discretized$ep_4. The results are automatically saved. If the results are not saved to the desired slot, then please use save_name parameter.
string, indicating the name of subslot of $stat_fo to save results to. If left empty, then it will be automatically determined.
logical indicating whether to print detailed information.
Most prints can also be suppresed using the suppressMessages function.
Márton KOLOSSVÁRY et al. Radiomic Features Are Superior to Conventional Quantitative Computed Tomographic Metrics to Identify Coronary Plaques With Napkin-Ring Sign Circulation: Cardiovascular Imaging (2017). DOI: 10.1161/circimaging.117.006843 https://pubmed.ncbi.nlm.nih.gov/29233836/
Márton KOLOSSVÁRY et al. Cardiac Computed Tomography Radiomics: A Comprehensive Review on Radiomic Techniques. Journal of Thoracic Imaging (2018). DOI: 10.1097/RTI.0000000000000268 https://pubmed.ncbi.nlm.nih.gov/28346329/