Title: | Fast R and C++ Access to NIfTI Images |
---|---|
Description: | Provides very fast read and write access to images stored in the NIfTI-1, NIfTI-2 and ANALYZE-7.5 formats, with seamless synchronisation of in-memory image objects between compiled C and interpreted R code. Also provides a simple image viewer, and a C/C++ API that can be used by other packages. Not to be confused with 'RNiftyReg', which performs image registration and applies spatial transformations. |
Authors: | Jon Clayden [cre, aut] , Bob Cox [aut], Mark Jenkinson [aut], Matt Hall [ctb], Rick Reynolds [ctb], Kate Fissell [ctb], Jean-loup Gailly [cph], Mark Adler [cph] |
Maintainer: | Jon Clayden <[email protected]> |
License: | GPL-2 |
Version: | 1.7.0 |
Built: | 2024-11-17 06:28:32 UTC |
Source: | CRAN |
These methods provide shorthand access to metadata elements from the NIfTI
header corresponding to an image. The extraction version returns the
corresponding element from the result of niftiHeader
, while the
replacement version calls asNifti
to replace it.
## S3 method for class 'niftiImage' x$name ## S3 replacement method for class 'niftiImage' x$name <- value
## S3 method for class 'niftiImage' x$name ## S3 replacement method for class 'niftiImage' x$name <- value
x |
A |
name |
A string naming the field required. |
value |
A new value for the field. |
Jon Clayden <[email protected]>
im <- readNifti(system.file("extdata", "example.nii.gz", package="RNifti")) print(im$descrip)
im <- readNifti(system.file("extdata", "example.nii.gz", package="RNifti")) print(im$descrip)
This function converts a filename, array or other image class into an object
of class "niftiImage"
, and optionally updates its metadata from a
reference image and/or changes its internal datatype. The dimensions and
pixel dimensions from the image
will replace those from the reference
object, if they are available.
asNifti(x, reference = NULL, ...) ## Default S3 method: asNifti(x, reference = NULL, datatype = "auto", internal = NA, ...)
asNifti(x, reference = NULL, ...) ## Default S3 method: asNifti(x, reference = NULL, datatype = "auto", internal = NA, ...)
x |
Any suitable object (see Details). |
reference |
An image, or a named list of NIfTI-1 properties like that
produced by |
... |
Additional parameters to methods. |
datatype |
The NIfTI datatype to use within the internal image. The
default, |
internal |
Logical value. If |
If the image
has an internal NIfTI pointer, that will be retrieved
directly. Otherwise, if it is a string, it will be taken to be a filename.
If it looks like a "nifti"
object (from package oro.nifti
),
or an "MriImage"
object (from package tractor.base
), a
conversion will be performed. A list will be assumed to be of the form
produced by niftiHeader
. Finally, a numeric array or matrix,
or RGB array, will be converted using default image parameters.
If reference
is a complete list of NIfTI-1 header fields, like that
produced by niftiHeader
, or an image, then it will be used to
create the internal object, and then the data and metadata associated with
the image
will overwrite the appropriate parts. If reference
is an incomplete list, the image
will be used to create the internal
object, and then the specified fields will be overwritten from the list.
This allows users to selectively update certain fields while leaving others
alone (but see the note below).
If multiple values are passed for a field that expects a scalar (which is most of them), the first element of the vector will be used, with a warning. An empty vector will be ignored, also with a warning. If a value of the wrong length is passed to a vector-valued field, an error will be generated.
Datatype information in a list reference
is ignored. The datatype can
only be changed using the datatype
argument, but in this case the
internal object gets out of sync with the R array, so an internal image is
returned to avoid the mismatch. Changing the internal datatype in this way
is for advanced usage only.
retrieveNifti
and updateNifti
are soft-deprecated alternative
interfaces to this function, which behave like the pre-existing functions of
the same names. They may be removed in future.
An array or internal image, with class "niftiImage"
(and
possibly also "internalImage"
).
The scl_slope
and scl_inter
fields affect the numerical
interpretation of the pixel data, so it is impossible in general to change
them without also changing the array values on both the C and the R side.
Therefore, to avoid unexpected side-effects, these fields are not affected
by this function. The dim
and pixdim
fields can be changed,
but for most users the accessor functions of the same name are much safer,
and should be used in preference.
Jon Clayden <[email protected]>
readNifti
, $.niftiImage
,
dim.internalImage
, pixdim
, xform
Extract one or more channels from an RGB data array that was obtained from
an RGB NIfTI image or created by the rgbArray
function. The
result is more amenable to numeric manipulation.
channels(array, channels = c("red", "green", "blue", "alpha"), raw = FALSE)
channels(array, channels = c("red", "green", "blue", "alpha"), raw = FALSE)
array |
An image, an |
channels |
A character vector of channels to extract. |
raw |
Boolean value: if |
A raw-mode or integer-mode array with one more dimension than the first argument, corresponding to channels.
Jon Clayden <[email protected]>
A default info panel for view
, which shows the labels and
values of each image at the current point, and a panel suitable for
plotting four-dimensional time series images.
defaultInfoPanel(point, data, labels) timeSeriesPanel(point, data, labels)
defaultInfoPanel(point, data, labels) timeSeriesPanel(point, data, labels)
point |
A numeric vector giving the current point location. |
data |
A list of data values for each image at the current point. Note that, for images of more than three dimensions, there will be more than one value per image. |
labels |
A character vector of image labels. |
Jon Clayden <[email protected]>
An internal image is a simple R object with a few attributes including a
pointer to an internal C structure, which contains the full image data. They
are used in the package for efficiency, but can be converted to a normal
R array using the as.array
method. Attributes of these objects should
not be changed.
## S3 method for class 'internalImage' dim(x) ## S3 replacement method for class 'internalImage' dim(x) <- value ## S3 method for class 'internalImage' as.array(x, ...) ## S3 method for class 'internalImage' x[i, j, ..., drop = TRUE] ## S3 replacement method for class 'internalImage' x[i, j, ...] <- value
## S3 method for class 'internalImage' dim(x) ## S3 replacement method for class 'internalImage' dim(x) <- value ## S3 method for class 'internalImage' as.array(x, ...) ## S3 method for class 'internalImage' x[i, j, ..., drop = TRUE] ## S3 replacement method for class 'internalImage' x[i, j, ...] <- value
x |
An |
value |
Not used. Changing the dimensions of (or data in) an internal image is invalid, and will produce an error. Convert to an array first. |
... |
Additional parameters to methods. Only used for additional indices. |
i , j
|
Index vectors. May be missing, which indicates that the whole of the relevant dimension should be obtained. |
drop |
If |
Jon Clayden <[email protected]>
NIfTI extension codes
ExtensionCodes
ExtensionCodes
An object of class integer
of length 22.
The NIfTI-1 and NIfTI-2 formats have a simple extension mechanism that allows additional metadata to be stored with their headers. The format of this extension data is unspecified by the NIfTI standard, but extension codes indicate what type of information is present. These functions provide access to this extension metadata.
extensions(image) extension(image, code, mode = c("raw", "character", "numeric", "double", "integer", "logical", "complex"), ..., simplify = TRUE) extensions(image) <- value extension(image, code) <- value
extensions(image) extension(image, code, mode = c("raw", "character", "numeric", "double", "integer", "logical", "complex"), ..., simplify = TRUE) extensions(image) <- value extension(image, code) <- value
image |
An image, in any acceptable form (see |
code |
Integer value, expression or string specifying which extension code is required. |
mode |
The required mode of the extracted data. |
... |
Additional arguments to |
simplify |
Logical value. If |
value |
New value for the extension(s). |
The plural version, extensions
, extracts or replaces all extensions
at once. The retrieval form returns a list of raw vectors, each with the
corresponding code in an attribute, and the replacement form accepts a list
of atomic vectors with code attributes, or NULL
, which removes all
extensions. The singular version, extension
, gets all extensions with
the specified code, or appends an extension with that code. Valid extension
codes are stored in the ExtensionCodes
vector.
NIfTI extensions are stored as a simple, unstructured byte stream, which is
naturally represented in R as a vector of mode "raw"
. However, these
functions will perform some conversion to and from other atomic types for
convenience. The NIfTI standard makes no guarantees about byte order within
the data stream, but the endian
argument to readBin
can
be passed through when converting to a non-raw type.
For extensions
, a list of raw vectors containing the bytes
stored in each available header. For extension
, a list of vector
of values, converted to the required mode, for the extension code
specified. If the extension code is not used in the image, the return
value is NULL
. The replacement forms return the modified image.
Jon Clayden <[email protected]>
ExtensionCodes
for the valid extension codes.
This function is shorthand for length(dim(object))
.
ndim(object)
ndim(object)
object |
An R object. |
The dimensionality of the object. Objects without a dim
attribute will produce zero.
Jon Clayden <[email protected]>
ndim(array(0L, dim=c(10,10)))
ndim(array(0L, dim=c(10,10)))
These functions extract the contents of a NIfTI-1 or ANALYZE-7.5 header, closely approximating how it is (or would be) stored on disk. Defaults will be used where information is missing, but no processing is performed on the metadata.
niftiHeader(image = list(), unused = FALSE) analyzeHeader(image = list()) ## S3 method for class 'niftiHeader' print(x, ...) ## S3 method for class 'analyzeHeader' print(x, ...)
niftiHeader(image = list(), unused = FALSE) analyzeHeader(image = list()) ## S3 method for class 'niftiHeader' print(x, ...) ## S3 method for class 'analyzeHeader' print(x, ...)
image |
An image, in any acceptable form (see |
unused |
Logical value. If |
x |
A |
... |
Ignored. |
The NIfTI-1 standard was originally formulated as a roughly backwards- compatible improvement on the ANALYZE format. Both formats use a binary header structure of 348 bytes, but the field names and their interpretation is often non-equivalent. These functions dump these fields, without regard to whether or not the result makes proper sense.
dumpNifti
is an alias of niftiHeader
, but the former is now
soft-deprecated.
For niftiHeader
, a list of class "niftiHeader"
, with
named components corresponding to the elements in a raw NIfTI-1 header.
For analyzeHeader
, the equivalent for ANALYZE-7.5.
Several medical image analysis packages, such as SPM and FSL, use the
ANALYZE originator
field to store a coordinate origin. This
interpretation is also returned, in the origin
field.
Both of these functions call asNifti
on their arguments to
coerce it to NIfTI, except in one specific circumstance: when
analyzeHeader
is called with a single-element character-mode
argument that is not an "internalImage"
object. In this case the
string is taken to be a path and the header is reported as stored on disk.
This is because otherwise the header may be changed by the process of
converting it to NIfTI and back.
Jon Clayden <[email protected]>
The NIfTI-1 standard (https://www.nitrc.org/docman/view.php/26/64/nifti1.h).
niftiHeader(system.file("extdata", "example.nii.gz", package="RNifti")) # Default header for a standard R array niftiHeader(array(0L, dim=c(10,10)))
niftiHeader(system.file("extdata", "example.nii.gz", package="RNifti")) # Default header for a standard R array niftiHeader(array(0L, dim=c(10,10)))
This function identifies the likely NIfTI format variant used by one or more files on disk.
niftiVersion(file)
niftiVersion(file)
file |
A character vector of file names. |
A vector of integers, of the same length as file
. Each
element will be 0 for ANALYZE format (the precursor to NIfTI-1), 1 for
NIfTI-1 (which is now most common), 2 for NIfTI-2, or -1 if the file
doesn't exist or doesn't look plausible in any of these formats.
NIfTI-2 format, mostly a variant of NIfTI-1 with wider datatypes used for many fields, is not currently supported for reading, but it is detected by this function.
Jon Clayden <[email protected]>
path <- system.file("extdata", "example.nii.gz", package="RNifti") niftiVersion(path) # 1
path <- system.file("extdata", "example.nii.gz", package="RNifti") niftiVersion(path) # 1
By default, these generic functions return or replace the "pixdim"
and "pixunits"
attributes of their arguments. These represent the
physical step size between pixel or voxel centre points, and the spatial and
temporal units that they are given in. The former defaults to 1 in each
dimension, if there is no attribute.
pixdim(object) ## Default S3 method: pixdim(object) pixdim(object) <- value ## Default S3 replacement method: pixdim(object) <- value pixunits(object) ## Default S3 method: pixunits(object) pixunits(object) <- value ## Default S3 replacement method: pixunits(object) <- value
pixdim(object) ## Default S3 method: pixdim(object) pixdim(object) <- value ## Default S3 replacement method: pixdim(object) <- value pixunits(object) ## Default S3 method: pixunits(object) pixunits(object) <- value ## Default S3 replacement method: pixunits(object) <- value
object |
An R object, generally an image. |
value |
Numeric vector of pixel dimensions along each axis, or
character vector of abbreviated units. For dimensions, a scalar
|
pixdim
returns a numeric vector of pixel dimensions.
pixunits
returns a character vector of length up to two, giving the
spatial and temporal unit names.
Jon Clayden <[email protected]>
im <- readNifti(system.file("extdata", "example.nii.gz", package="RNifti")) pixdim(im) pixunits(im)
im <- readNifti(system.file("extdata", "example.nii.gz", package="RNifti")) pixdim(im) pixunits(im)
This function reads one or more NIfTI-1, NIfTI-2 or ANALYZE-7.5 files into R, using the standard NIfTI C library.
readNifti(file, internal = FALSE, volumes = NULL)
readNifti(file, internal = FALSE, volumes = NULL)
file |
A character vector of file names. |
internal |
Logical value. If |
volumes |
An integer vector giving the volumes to read (counting along
all dimensions beyond the third jointly), or |
An array or internal image, with class "niftiImage"
(and
possibly also "internalImage"
), or a list of such objects if
file
has length greater than one.
If the internal
argument is FALSE
(the default), the
data type of the image pointer will be set to match one of R's native
numeric data types, i.e., 32-bit signed integer or 64-bit double-precision
floating-point. In these circumstances the data type reported by the
niftiHeader
function will therefore not, in general, match
the storage type used in the file. See also the datatype
argument
to writeNifti
.
Jon Clayden <[email protected]>
The NIfTI-1 standard (https://www.nitrc.org/docman/view.php/26/64/nifti1.h).
path <- system.file("extdata", "example.nii.gz", package="RNifti") readNifti(path) readNifti(path, internal=TRUE)
path <- system.file("extdata", "example.nii.gz", package="RNifti") readNifti(path) readNifti(path, internal=TRUE)
The rgbArray
function constructs an integer array whose values are
byte-packed representations of 8-bit RGBA colour values. The channels
attribute (with value 3 or 4) indicates how many channels are being used.
The resulting array can be used to construct an RGB(A) NIfTI image, or
converted to standard R colour strings using the as.character
method.
The indexing method returns another object of the same type.
rgbArray(red, green, blue, alpha, max = NULL, dim = NULL, ...) ## S3 method for class 'rgbArray' x[i, j, ..., drop = TRUE] ## S3 method for class 'rgbArray' as.raster(x, ...) ## S3 method for class 'rgbArray' as.character(x, flatten = TRUE, ...)
rgbArray(red, green, blue, alpha, max = NULL, dim = NULL, ...) ## S3 method for class 'rgbArray' x[i, j, ..., drop = TRUE] ## S3 method for class 'rgbArray' as.raster(x, ...) ## S3 method for class 'rgbArray' as.character(x, flatten = TRUE, ...)
red |
A numeric vector (or array) of red channel values. If this is the only channel argument, it can also be a character vector of colour values (including alpha, if required), or a numeric array whose last dimension is 2 (for grey + alpha), 3 (for RGB) or 4 (for RGBA). |
green , blue , alpha
|
Numeric vectors (or arrays) containing values for
the appropriate channel. These will be combined with the |
max |
The maximum possible value for any channel. The default is 255 when the data is of integer mode, and 1 otherwise. Values above this, or below zero, will be clipped to the appropriate extreme. |
dim |
An integer vector of dimensions for the final array. The
dimensions of |
... |
For |
x |
An |
i , j
|
Index vectors, which are passed to the |
drop |
Whether or not to drop unitary dimensions. |
flatten |
Logical value. If |
rgbArray
and the indexing ([
) method return an
integer-mode array of class "rgbArray"
. The as.raster
method returns a raster
object, valid for 2D arrays only. The
as.character
method returns a character-mode vector of colour
strings with or without dimensions.
The values of an "rgbArray"
are not easily interpreted, and
may depend on the endianness of the platform. For manipulation or use as
colours they should generally be converted to character mode, or the
channels extracted using the channels
function.
Jon Clayden <[email protected]>
This function displays one or more 2D or 3D images, with optional click-to-navigate interactivity.
view(..., point = NULL, radiological = getOption("radiologicalView", FALSE), interactive = base::interactive(), crosshairs = TRUE, labels = TRUE, infoPanel = defaultInfoPanel) lyr(image, scale = "grey", min = NULL, max = NULL, mask = NULL)
view(..., point = NULL, radiological = getOption("radiologicalView", FALSE), interactive = base::interactive(), crosshairs = TRUE, labels = TRUE, infoPanel = defaultInfoPanel) lyr(image, scale = "grey", min = NULL, max = NULL, mask = NULL)
... |
One or more images, or |
point |
A numeric vector giving the location to initially centre the view on. If crosshairs are in use, they will be placed at this point. For 3D images, this parameter also determines the planes shown in each subview. |
radiological |
Logical value. If |
interactive |
Logical value. If |
crosshairs |
Logical value, indicating whether crosshairs should be shown or not. |
labels |
Logical value, indicating whether orientation labels should be
shown or not. Ignored (defaulting to |
infoPanel |
A function of three arguments, which must produce a plot
for the information panel of the view. |
image |
The image being shown in this layer. |
scale |
A character vector of colour values for the scale, or a single
string naming a predefined scale: |
min , max
|
The window minimum and maximum for the layer, i.e., the black
and white points. These are ignored for RGB images. Otherwise, if
|
mask |
A optional mask array, which may be of lower dimensionality than
the main image. If specified, this is converted to logical mode and pixels
that evaluate |
lyr
returns a list of class "viewLayer"
, to be used
in a view. view
is called for its side-effect of showing a view.
Because of the way R's main run-loop interacts with graphics, it will
not be possible to issue further commands to the terminal while
interactive mode is enabled. Instructions for leaving this mode are shown
by the default info panel; see also locator
, which is the
underlying core function.
Jon Clayden <[email protected]>
defaultInfoPanel
, orientation
,
locator
im <- readNifti(system.file("extdata", "example.nii.gz", package="RNifti")) view(im, interactive=FALSE) view(lyr(im, max=800), interactive=FALSE) view(lyr(im, mask=im<800), interactive=FALSE)
im <- readNifti(system.file("extdata", "example.nii.gz", package="RNifti")) view(im, interactive=FALSE) view(lyr(im, max=800), interactive=FALSE) view(lyr(im, mask=im<800), interactive=FALSE)
These functions are used to transform points from dimensionless pixel or
voxel coordinates to “real-world” coordinates, typically in millimetres,
and back. Actual pixel units can be obtained using the
pixunits
function. The origin
function gives the voxel
coordinates of the real-world origin.
voxelToWorld(points, image, simple = FALSE, ...) worldToVoxel(points, image, simple = FALSE, ...) origin(image, ...)
voxelToWorld(points, image, simple = FALSE, ...) worldToVoxel(points, image, simple = FALSE, ...) origin(image, ...)
points |
A vector giving the coordinates of a point, or a matrix with one point per row. |
image |
The image in whose space the points are given, or a 4x4 numeric xform matrix. |
simple |
A logical value: if |
... |
Additional arguments to |
A vector or matrix of transformed points.
Voxel coordinates are assumed by these functions to use R's indexing convention, beginning from 1.
Jon Clayden <[email protected]>
im <- readNifti(system.file("extdata", "example.nii.gz", package="RNifti")) # Find the origin origin(im)
im <- readNifti(system.file("extdata", "example.nii.gz", package="RNifti")) # Find the origin origin(im)
These functions write an image to NIfTI-1, NIfTI-2 or ANALYZE-7.5 format, using the standard NIfTI C library.
writeNifti(image, file, template = NULL, datatype = "auto", version = 1, compression = 6) writeAnalyze(image, file, template = NULL, datatype = "auto", compression = 6)
writeNifti(image, file, template = NULL, datatype = "auto", version = 1, compression = 6) writeAnalyze(image, file, template = NULL, datatype = "auto", compression = 6)
image |
An image, in any acceptable form (see |
file |
A character string containing a file name. If this has no file
extension suffix, or ends with |
template |
An optional template object to derive NIfTI properties
from. Passed to |
datatype |
The NIfTI datatype to use when writing the data out. The
default, |
version |
An integer (1 or 2) giving the NIfTI file format version to use. Version 2 is usually only needed for very large images or where metadata needs to be stored with high precision. The types available for storing the pixel data are the same in both cases. |
compression |
The gzip compression level to use, an integer between 0 (none) and 9 (maximum). Ignored if an uncompressed format is implied by the requested file name. |
An invisible, named character vector giving the image and header file names written to.
The ANALYZE-7.5 file format is a legacy format and use of it is not recommended, except for compatibility. In particular, the format does not reliably specify the spatial orientation of the image.
Jon Clayden <[email protected]>
The NIfTI-1 standard (https://www.nitrc.org/docman/view.php/26/64/nifti1.h).
## Not run: writeNifti(im, "image.nii.gz", datatype="float")
## Not run: writeNifti(im, "image.nii.gz", datatype="float")
These functions convert the “qform” or “sform” information in a NIfTI header to or from a corresponding affine matrix. These two “xform” mechanisms are defined by the NIfTI standard, and may both be in use in a particular image header. They define the relationship between the storage order of the image and real space.
xform(image, useQuaternionFirst = TRUE) qform(x) <- value sform(x) <- value orientation(x, useQuaternionFirst = TRUE) orientation(x) <- value rotation(x, useQuaternionFirst = TRUE)
xform(image, useQuaternionFirst = TRUE) qform(x) <- value sform(x) <- value orientation(x, useQuaternionFirst = TRUE) orientation(x) <- value rotation(x, useQuaternionFirst = TRUE)
image , x
|
An image, in any acceptable form (see |
useQuaternionFirst |
A single logical value. If |
value |
A new 4x4 qform or sform matrix, or orientation string. If a
matrix has a |
Image orientation is indicated using a three-character string, with each character indicating the approximate world-space direction of the positive axes in the first, second and third dimensions, in order. Each character may be ‘R’ for left-to-right, ‘L’ for right-to-left, ‘A’ for posterior-to- anterior, ‘P’ for anterior-to-posterior, ‘S’ for inferior-to-superior, or ‘I’ for superior-to-inferior. The default for NIfTI is RAS, meaning that the first dimension points towards the right, the second towards the front and the third towards the top. An xform matrix is an affine transform relative to that default.
The upper-left 3x3 matrix in a 3D affine transform governs scale, rotation
and skew, while the last column is a translation. (The rotation
function extracts the rotation part alone.) The final row is always
(0,0,0,1). Reorienting an image involves permuting and possibly reversing
some of the axes, both in the data and the metadata. The sense of the
translation may also need to be reversed, but this is only possible if the
image dimensions are known.
For xform
, an affine matrix corresponding to the “qform”
or “sform” information in the image header, with an "imagedim"
attribute giving the original image dimensions and a "code"
attribute giving the corresponding xform code. For orientation
, a
string with three characters indicating the (approximate) orientation of
the image. The replacement forms return the modified object.
The qform and sform replacement functions are for advanced users only. Modifying the transforms without knowing what you're doing is usually unwise, as you can make the image object inconsistent.
Jon Clayden <[email protected]>
The NIfTI-1 standard (https://www.nitrc.org/docman/view.php/26/64/nifti1.h) is the definitive reference on “xform” conventions.
im <- readNifti(system.file("extdata", "example.nii.gz", package="RNifti")) xform(im) # Remove the qform information qform(im) <- structure(diag(4), code=0L) # The same as above, since the sform is unmodified xform(im) # The identity matrix corresponds to RAS orientation orientation(diag(4))
im <- readNifti(system.file("extdata", "example.nii.gz", package="RNifti")) xform(im) # Remove the qform information qform(im) <- structure(diag(4), code=0L) # The same as above, since the sform is unmodified xform(im) # The identity matrix corresponds to RAS orientation orientation(diag(4))