project_data: Perform coord transform and trilinear data interpolation.
In dfsp-spirit/regfusionr: Registration Fusion in R
View source: R/vol_to_fsaverage.R
project_data R Documentation
Perform coord transform and trilinear data interpolation.
Description
Perform coord transform and trilinear data interpolation.
Usage
project_data(data, affine, ras, interp = "linear")
Arguments
data
3D or 3D source image values
affine
4x4 double matrix, the ras2vox transformation matrix
ras
nx3 double matrix, the source RAS coordinates
interp
character string, the interpolation mode. Only 'linear' is currently supported. We should support 'nearest' as well.
Value
a numerical vector for 3D input data or a numerical 4D array for 4D input data, the data values interpolated at the RAS coordinates. For the 4D input case, the 2D output is encoded in a 4D array with two dimensions of length 1 as follows: The first dimension contains the projected and interpolated per-vertex data values for a single frame, dimensions 2 and 3 are both of length 1, and the fourth dimensions is the timepoint/subject dimension (the frames).
dfsp-spirit/regfusionr documentation built on Sept. 4, 2022, 9:32 a.m.
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View source: R/vol_to_fsaverage.R
| project_data | R Documentation |
Perform coord transform and trilinear data interpolation.
Description
Perform coord transform and trilinear data interpolation.
Usage
project_data(data, affine, ras, interp = "linear")
Arguments
data |
3D or 3D source image values |
affine |
4x4 double matrix, the ras2vox transformation matrix |
ras |
nx3 double matrix, the source RAS coordinates |
interp |
character string, the interpolation mode. Only 'linear' is currently supported. We should support 'nearest' as well. |
Value
a numerical vector for 3D input data or a numerical 4D array for 4D input data, the data values interpolated at the RAS coordinates. For the 4D input case, the 2D output is encoded in a 4D array with two dimensions of length 1 as follows: The first dimension contains the projected and interpolated per-vertex data values for a single frame, dimensions 2 and 3 are both of length 1, and the fourth dimensions is the timepoint/subject dimension (the frames).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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