first_order.RdCalculates first-order statistical metrics of RIA_image. First-order metrics discard all spatial information. By default the $modif image will be used to calculate statistics. If use_slot is given, then the data present in RIA_image$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 $save_name, or is automatically generated by RIA.
first_order(RIA_data_in, use_type = "single", use_orig = TRUE,
use_slot = NULL, save_name = NULL, verbose_in = TRUE)| RIA_data_in | RIA_image. |
|---|---|
| use_type | string, can be "single" which runs the function on a single image, which is determined using "use_orig" or "use_slot". "discretized" takes all datasets in the RIA_image$discretized slot and runs the analysis on them. |
| use_orig | logical, indicating whether to use image present in RIA_data$orig. If FALSE, the modified image will be used stored in RIA_data$modif. |
| use_slot | 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. |
| save_name | string, indicating the name of subslot of $stat_fo to save results to. If left empty, then it will be automatically determined. |
| verbose_in | logical indicating whether to print detailed information.
Most prints can also be suppresed using the |
RIA_image containing the statistical information.
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://www.ncbi.nlm.nih.gov/pubmed/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://www.ncbi.nlm.nih.gov/pubmed/28346329