load_nrrd.RdLoads nrrd images to a RIA_image object. RIA_image is a list with three mandatory attributes.
RIA_data is a RIA_data object, which has two potential slots. $orig contains the original image after loading $modif contains the image that has been modified using functions.
RIA_header is a RIA_header object, which is list of header information.
RIA_log is a RIA_log object, which is a list updated by RIA functions and acts as a log and possible input for some functions.
Further attributes may also be added by RIA functions.
load_nrrd(filename, mask_filename = NULL, keep_mask_values = 1,
switch_z = TRUE, crop_in = TRUE, replace_in = TRUE,
center_in = FALSE, zero_value = NULL, min_to = -1024,
verbose_in = TRUE, origin_in = NULL, ReadByteAsRaw_in = "unsigned",
...)| filename | string, file path to directory containing nrrd file. |
|---|---|
| mask_filename | string, file path to optional directory containing nrrd file of mask image. |
| keep_mask_values | integer vector, indicates which value or values of the mask image to use as indicator to identify voxels wished to be processed. Usually 1-s indicate voxels wished to be processed. However, one mask image might contain several segmentations, in which case supplying several integers is allowed. Furthermore, if the same string is supplyied to filename and mask_filename, then the integers in keep_mask_values are used to specify which voxel values to analyze. This way the provided image can be segmented to specific compontents. For example, if you wish to analyze only the low-density non-calcified component of coronary plaques, then keep_mask_values can specify this by setting it to: -100:30 |
| switch_z | logical, indicating whether to change the orientation of the images in the Z axis. Some software reverse the order of the manipulated image in the Z axis, and therefore the images of the mask image need to be reveresed. |
| crop_in | logical, indicating whether to crop RIA_image to smallest bounding box. |
| replace_in | logical, whether to replace smallest values indicated by zero_value, which are considered to indicate no signal, to NA. |
| center_in | logical, whether to shift data so smallest value is equal to min_to input parameter. |
| zero_value | integer, indicating voxels values which are considered not to have any information. If left empty, then the smallest HU value in the image will be used, if replace_in is TRUE. |
| min_to | integer, value to which data is shifted to if center_in is TRUE. |
| verbose_in | logical, indicating whether to print detailed information.
Most prints can also be suppresed using the |
| origin_in | origin parameter input of |
| ReadByteAsRaw_in | origin parameter input of |
| ... | additional arguments to |
Returns a RIA_image object. RIA_image is a list with three mandatory attributes.
RIA_data is a RIA_data object containing the image in $orig slot.
RIA_header is a RIA_header object, which is s list of nrrd information.
RIA_log is a RIA_log object, which is a list updated by RIA functions and acts as a log and possible input for some functions.
load_nrrd is used to transform nrrd datasets into the RIA environment.
RIA_image object was developed to facilitate and simplify radiomics calculations by keeping
all necessary information in one place.
RIA_data stores the nrrd image that is converted to numerical 3D arrays using
read.nrrd.
The function stores the original loaded image in RIA_data$orig,
while all modified images are stored in RIA_data$modif.
By default, the original image RIA_data$orig is untouched by functions
other than those operating in load_nrrd. While other functions
operate on the RIA_data$modif image by default.
Due to memory concerns, there can only be one RIA_data$orig and RIA_data$modif
image present at one time in a RIA_image. Therefore, if image manipulations are performed,
then the RIA_data$modif will be overwritten. However, functions can save images
into new slots of RIA_image, for example the discretize function can save
discretized images to the discretized slot of RIA_image.
load_nrrd not only loads the image based on parameters that can be set for
read.nrrd, but also can perform
minimal manipulations on the image itself.
crop_in logical variable is used to indicate, whether to crop the image to the
smallest bounding box still containing all the information. If TRUE, then all X, Y and potentially
Z slices containing no information will be removed. This allows significant reduction of necessary
memory to store image data.
zero_value parameter is used to indicate HU values which contain no information. If left empty,
then the smallest value will be considered as indicating voxels without a signal.
replace_in logical can be used to change values that are considered to have no signal to NA.
This is necessary to receive proper statistical values later on.
center_in logical is used to indicate whether the values should be shifted.
Some vendors save HU values as positive integers to spare memory and minimalize file sizes.
Therefore, in some instances shift of the scale is needed. By default,
the values are shifted by -1024, but in other cases a different constant might be required,
which can be set using the min_to input.
RIA_header is a list containing the most basic patient and examination information
present in the nrrd file.
RIA_log is a list of variables, which give an overview of what has been done with the image.
If the whole RIA_image is supplied to a function, the information regarding the manipulations
are written into the $events array in chronological order. Furthermore, some additional
information is also saved in the log, which might be needed for further analysis.
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