merge_RIA_images {RIA}

Merges multiple loaded images into one volume

Description

Merges multiple RIA_image class objects loaded using any of the load functions. All images need to have the same dimensions. Further, during loading the images should not be cropped to assure that the orientation and position of the data is maintained. Data of the new combined image is updated sequentially, using data from the data$orig slot, that is only parts of the image that do not have data (which are converted to NA during the load process) are updated in the order of provided RIA_images. If multiple images contain data in for the same element, the first value is used in the new image. Data in the data$log slot is updated based on the new combined image, while data in the data$header slot is copied from the first provided image.

Usage

merge_RIA_images(RIA_data_in, crop_in = TRUE, verbose_in = TRUE)

Arguments

RIA_data_in

List of Multiple RIA_images.

crop_in

logical, indicating whether to crop the merged image to smallest bounding box.

verbose_in

logical indicating whether to print detailed information. Most prints can also be suppressed using the suppressMessages function.

Value

RIA_image containing the merged volume with updated log and header data

References

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/

Examples

## Not run: 
#Load multiple images and combine them
d1 <- load_nifti(ABC_p1.nii.gz, crop_in = FALSE)
d2 <- load_nifti(ABC_p2.nii.gz, crop_in = FALSE)
d  <- merge_RIA(list(d1, d2))

## End(Not run)