Package index
-
AbstractSparseNeuroVec-class
- AbstractSparseNeuroVec Class
-
AFNIMetaInfo()
- Create AFNI Format Metadata Object
-
ArrayLike3D-class
- ArrayLike3D Class
-
ArrayLike4D-class
- ArrayLike4D Class
-
ArrayLike5D-class
- ArrayLike5D Class
-
AxisSet-class
- AxisSet
-
AxisSet1D-class
- AxisSet1D
-
AxisSet2D-class
- AxisSet2D
-
AxisSet3D-class
- AxisSet3D Class
-
AxisSet4D-class
- AxisSet4D Class
-
AxisSet5D-class
- AxisSet5D Class
-
BigNeuroVec-class
- BigNeuroVec Class
-
BigNeuroVec()
- Create a Memory-Mapped Neuroimaging Vector
-
BinaryReader()
- Create Binary Reader Object
-
BinaryWriter()
- Create Binary Writer Object
-
BinaryWriter-class
- BinaryWriter Class
-
ClusteredNeuroVol()
- ClusteredNeuroVol Class
-
DenseNeuroVec()
- DenseNeuroVec Class
-
DenseNeuroVol()
- DenseNeuroVol Class
-
FileBackedNeuroVec()
- Create a File-Backed Neuroimaging Vector
-
IndexLookupVol()
- IndexLookupVol Class
-
LogicalNeuroVol()
- LogicalNeuroVol Class
-
MappedNeuroVec()
- MappedNeuroVec Class
-
MetaInfo-class
- MetaInfo Class
-
MetaInfo()
- Create Neuroimaging Metadata Object
-
NeuroBucket-class
- NeuroBucket
-
`[`(<NeuroHyperVec>,<ANY>,<ANY>,<ANY>)
- NeuroHyperVec Class
-
NeuroHyperVec()
- Constructor for NeuroHyperVec class
-
NeuroObj-class
- NeuroObj Class
-
NeuroSlice()
- NeuroSlice: 2D Neuroimaging Data Container
-
NeuroSpace()
- NeuroSpace: Spatial Reference System for Neuroimaging Data
-
NeuroVec()
- NeuroVec Class
-
NeuroVecSeq()
- NeuroVecSeq: A Container for Sequential NeuroVec Objects
-
NeuroVecSource()
- NeuroVecSource
-
NeuroVecSource-class
- NeuroVecSource Class
-
NeuroVolSource()
- Constructor for NeuroVolSource
-
NeuroVol()
- NeuroVol: 3D Neuroimaging Volume Class
-
NIFTIMetaInfo()
- Create NIFTI Format Metadata Object
-
ROICoords-class
- ROICoords
-
ROICoords()
- Create ROI Coordinates Object
-
ROIVec()
- Create an instance of class
ROIVec
-
ROIVol()
- Create ROI Volume Object
-
SparseNeuroVec()
- SparseNeuroVec Class
-
SparseNeuroVol()
- SparseNeuroVol Class
-
TimeAxis
- Time axis set
-
NullAxis
- Pre-defined null axis set
-
numericOrMatrix-class
- numericOrMatrix Union
-
BinaryReader-class
- BinaryReader Class
-
ColumnReader-class
- ColumnReader
-
FileBackedNeuroVec-class
- FileBackedNeuroVec Class
-
FileFormat-class
- FileFormat Class
-
FileFormat-operations
- File Format Operations for Neuroimaging Data
-
FileMetaInfo-class
NIFTIMetaInfo-class
AFNIMetaInfo-class
- FileMetaInfo Class
-
FileSource-class
- FileSource Class
-
MappedNeuroVecSource()
- MappedNeuroVecSource Class
-
NamedAxis-class
- NamedAxis
-
NeuroSlice-class
- NeuroSlice Class
-
NeuroSpace-class
- NeuroSpace Class
-
NeuroVecSeq-class
- NeuroVecSeq Class
-
NeuroVol-class
- NeuroVol Class
-
ROI-class
- ROI
-
ROIVec-class
- ROIVec
-
ROIVecWindow-class
- ROIVecWindow
-
ROIVol-class
- ROIVol
-
ROIVolWindow-class
- ROIVolWindow
-
SparseNeuroVecSource-class
- SparseNeuroVecSource Class
-
OrientationList2D
- Pre-defined 2D orientation configurations
-
OrientationList3D
- Pre-defined 3D orientation configurations
-
concat()
- Concatenate two objects in the time dimension
-
mapf()
- Apply a function to an object.
-
vols()
- Extract an ordered series of 3D volumes.
-
neuroim2-package
neuroim2
- neuroim2: neuroimaging data structures for analysis
-
data_file()
- Generic function to get the name of the data file, given a file name and a
FileFormat
instance.
-
data_file_matches()
- Generic function to test whether a file name conforms to the given a
FileFormat
instance. Will test for match to data file only
-
data_reader()
- Create a Data Reader
-
file_matches()
- Generic function to test whether a file name conforms to the given
FileFormat
instance. Will test for match to either header file or data file
-
read_elements()
- Read a sequence of elements from an input source
-
createNIfTIHeader()
- Create an Empty NIfTI-1 Header List
-
linear_access()
- Extract values from an array-like object using linear indexing.
-
image
- Generic Image Method for Creating Visual Representations
-
scale()
- Generic Scale Method
-
space()
- Extract Geometric Properties of an Image
-
axes()
- Extract Image Axes
-
spacing()
- Extract Voxel Dimensions of an Image
-
bounds()
- Extract Spatial Bounds of an Image
-
centroid()
- return the centroid of an object
-
coord_to_grid()
- convert n-dimensional real world coordinates to grid coordinates
-
coord_to_index()
- convert n-dimensional real world coordinates to 1D indices
-
grid_to_coord()
- Generic function to convert N-dimensional grid coordinate coordinates to real world coordinates
-
grid_to_index()
- Generic function to convert N-dimensional grid coordinate to 1D indices
-
grid_to_grid()
- Generic function to convert voxel coordinates in the reference space (LPI) to native array space.
-
index_to_coord()
- convert 1d indices to n-dimensional real world coordinates
-
index_to_grid()
- Convert 1d indices to n-dimensional grid coordinates
-
dim_of()
- Get the length of a given dimension of an object
-
drop_dim()
- Drop a Dimension from an Object
-
add_dim()
- Add a Dimension to an Object
-
ndim()
- Extract the number of dimensions of an object
-
voxels()
- extract voxel coordinates
-
which_dim()
- Find Dimensions of a Given Axis
-
trans()
- Extract image coordinate transformation
-
inverse_trans()
- Extract inverse image coordinate transformation
-
origin()
- Extract Image Origin
-
perm_mat()
- Extract permutation matrix associated with an image
-
strip_extension()
- Generic function to strip extension from file name, given a
FileFormat
instance.
-
LEFT_RIGHT
RIGHT_LEFT
ANT_POST
POST_ANT
INF_SUP
SUP_INF
- Pre-defined anatomical axes
-
TIME
- Time axis
-
findAnatomy3D()
- Find 3D anatomical orientation from axis abbreviations
-
matrixToQuatern()
- Convert a Transformation Matrix to a Quaternion Representation
-
quaternToMatrix()
- Convert Quaternion Parameters to a Transformation Matrix
-
partition()
- Partition an image into a set of disjoint clusters
-
patch_set()
- Generate a set of coordinate "patches" of fixed size from an image object.
-
split_clusters()
- Cut an object into a list of spatial or spatiotemporal clusters
-
centroids()
- Return a matrix of centroids of an object
-
conn_comp()
- Connected components
-
conn_comp_3D()
- Extract Connected Components from a 3D Binary Mask
-
coords()
- Extract coordinates from an object
-
cuboid_roi()
- Create A Cuboid Region of Interest
-
num_clusters()
- Number of Clusters
-
slices()
- Extract an ordered series of 2D slices from a 3D or 4D object
-
slice()
- Extract image slice
-
vectors()
- Extract an ordered list of 1D vectors.
-
values()
- Extract Data Values of an Object
-
spherical_roi_set()
- Create Multiple Spherical Regions of Interest
-
Kernel()
- Create a Kernel object from a function of distance from kernel center
-
Kernel-class
- Kernel
-
embed_kernel()
- Generic function to position kernel in a postion in image space
-
`[`(<ArrayLike3D>,<numeric>,<missing>,<ANY>)
`[`(<ArrayLike3D>,<matrix>,<missing>,<ANY>)
`[`(<ArrayLike3D>,<missing>,<missing>,<ANY>)
`[`(<ArrayLike3D>,<missing>,<numeric>,<ANY>)
- Array-like access for 3-dimensional data structures
-
`[`(<ArrayLike4D>,<matrix>,<missing>,<ANY>)
`[`(<ArrayLike4D>,<numeric>,<numeric>,<ANY>)
`[`(<ArrayLike4D>,<numeric>,<missing>,<ANY>)
`[`(<ArrayLike4D>,<integer>,<missing>,<ANY>)
`[`(<ArrayLike4D>,<missing>,<missing>,<ANY>)
`[`(<ArrayLike4D>,<missing>,<numeric>,<ANY>)
- Array-like access for 4-dimensional data structures
-
spherical_roi()
- Create a Spherical Region of Interest
-
square_roi()
- Create a square region of interest
-
searchlight()
- Create an exhaustive searchlight iterator
-
searchlight_coords()
- Create an exhaustive searchlight iterator for voxel coordinates using spherical_roi
-
random_searchlight()
- Create a spherical random searchlight iterator
-
bootstrap_searchlight()
- Create a bootstrap spherical searchlight iterator
-
series_roi()
- Extract time series from specific voxel coordinates and return as ROI object
-
gaussian_blur()
- Gaussian Blur for Volumetric Images
-
guided_filter()
- Edge-Preserving Guided Filter for Volumetric Images
-
bilateral_filter()
- Apply a bilateral filter to a volumetric image
-
reorient()
- Remap the grid-to-world coordinates mapping of an image.
-
clustered_searchlight()
- Create a clustered searchlight iterator
-
spatial-filter
- Spatial Filtering Methods for Neuroimaging Data
-
searchlight-methods
- Searchlight Analysis Methods
-
laplace_enhance()
- Laplacian Enhancement Filter for Volumetric Images
-
lookup()
- Index Lookup operation
-
map_values()
- Map Values from One Set to Another Using a User-supplied Lookup Table
-
resample()
- Resample an Image to Match the Space of Another Image
-
neuro-resample
- Resampling Methods for Neuroimaging Objects
-
sub_vector()
- Generic function to extract a sub-vector from a
NeuroVec
object.
-
indices()
- Extract indices
-
length(<NeuroVec>)
length(<NeuroVecSeq>)
length(<ROIVol>)
length(<ROICoords>)
- Get length of NeuroVec object
-
neuro-ops
- Arithmetic and Comparison Operations for Neuroimaging Objects
-
scale_series()
- Generic functions to scale (center and/or normalize by standard deviation) each series of a 4D image That is, if the 4th dimension is 'time' each series is a 1D time series.
-
resample()
- Resample an Image to Match the Space of Another Image
-
split_blocks()
- Cut a vector-valued object into a list of sub-blocks
-
split_clusters()
- Cut an object into a list of spatial or spatiotemporal clusters
-
split_fill()
- Fill Disjoint Sets of Values with the Output of a Function
-
split_reduce()
- Summarize Subsets of an Object by Splitting by Row and Applying a Summary Function
-
split_scale()
- Center and/or Scale Row-subsets of a Matrix or Matrix-like Object
-
render()
- Render an image to create a drawable image.
-
render_slice()
- Render a slice at z coordinate
-
read_vec()
- read_vec
-
read_vol()
- Load an image volume from a file
-
write_elements()
- Write a sequence of elements from an input source
-
write_vec()
- Write a 4d image vector to disk
-
write_vol()
- Write a 3d image volume to disk
-
close(<BinaryReader>)
close(<BinaryWriter>)
- Close a BinaryReader or BinaryWriter
-
ColumnReader()
- Create Column Reader Object
-
header_file()
- Generic function to get the name of the header file, given a file name and a
FileFormat
instance.
-
header_file_matches()
- Generic function to test whether a file name conforms to the given
FileFormat
instance. Will test for match to header file only
-
read_columns()
- Read a set of column vector from an input source (e.g.
ColumnReader
)
-
read_header()
- read header information of an image file
-
read_meta_info()
- Generic function to read image meta info given a file
-
read_vol_list()
- read_vol_list
-
`[`(<NeuroHyperVec>,<ANY>,<ANY>,<ANY>)
- NeuroHyperVec Class
-
`[[`(<NeuroVecSeq>,<numeric>)
- Extract Element from NeuroVecSeq
-
`[`(<ROIVol>,<numeric>,<missing>,<ANY>)
`[`(<ROIVol>,<logical>,<missing>,<ANY>)
- Extract or replace parts of an object
-
`[`(<ArrayLike3D>,<numeric>,<missing>,<ANY>)
`[`(<ArrayLike3D>,<matrix>,<missing>,<ANY>)
`[`(<ArrayLike3D>,<missing>,<missing>,<ANY>)
`[`(<ArrayLike3D>,<missing>,<numeric>,<ANY>)
- Array-like access for 3-dimensional data structures
-
`[`(<ArrayLike4D>,<matrix>,<missing>,<ANY>)
`[`(<ArrayLike4D>,<numeric>,<numeric>,<ANY>)
`[`(<ArrayLike4D>,<numeric>,<missing>,<ANY>)
`[`(<ArrayLike4D>,<integer>,<missing>,<ANY>)
`[`(<ArrayLike4D>,<missing>,<missing>,<ANY>)
`[`(<ArrayLike4D>,<missing>,<numeric>,<ANY>)
- Array-like access for 4-dimensional data structures
-
`[`(<AbstractSparseNeuroVec>,<numeric>,<numeric>,<ANY>)
- Extractor Method for AbstractSparseNeuroVec
-
dim(<FileMetaInfo>)
dim(<NeuroObj>)
dim(<ROIVol>)
dim(<ROICoords>)
- Get Dimensions of FileMetaInfo Object
-
dim_of()
- Get the length of a given dimension of an object
-
drop(<NeuroVec>)
- drop
-
drop()
- Generic Drop Method
-
drop_dim(<AxisSet2D>,<missing>)
- Drop dimension from axis set
-
drop_dim(<AxisSet2D>,<numeric>)
- Drop dimension from axis set
-
drop_dim(<AxisSet3D>,<missing>)
- Drop dimension from axis set
-
drop_dim(<AxisSet3D>,<numeric>)
- Drop dimension from axis set
-
drop_dim()
- Drop a Dimension from an Object
-
length(<NeuroVec>)
length(<NeuroVecSeq>)
length(<ROIVol>)
length(<ROICoords>)
- Get length of NeuroVec object
-
show(<AxisSet1D>)
- Show method for AxisSet1D objects
-
show(<AxisSet2D>)
- Show method for AxisSet2D objects
-
show(<AxisSet3D>)
- Show method for AxisSet3D objects
-
show(<AxisSet4D>)
- Show method for AxisSet4D objects
-
show(<ClusteredNeuroVol>)
- Display ClusteredNeuroVol Information
-
show(<FileMetaInfo>)
- show a
FileMetaInfo
-
show(<MappedNeuroVec>)
- Show Method for MappedNeuroVec Objects
-
show(<NamedAxis>)
- Show method for NamedAxis objects
-
show(<NeuroHyperVec>)
- Show NeuroHyperVec Object
-
show(<NeuroVec>)
- show a NeuroVec object
-
show(<NeuroVecSource>)
- show a NeuroVecSource object
-
show(<NeuroVol>)
- Display NeuroVol Object
-
show(<ROIVec>)
- show an
ROIVec
-
show(<ROIVol>)
- show an
ROIVol
-
show(<SparseNeuroVec>)
- show a
SparseNeuroVec
-
show(<SparseNeuroVol>)
- show a
SparseNeuroVol
-
show(<IndexLookupVol>)
show(<NeuroSlice>)
show(<NeuroSpace>)
show(<DenseNeuroVec>)
show(<NeuroVecSeq>)
show(<ROICoords>)
- Show method for IndexLookupVol Objects
-
as-ClusteredNeuroVol-DenseNeuroVol
coerce,ClusteredNeuroVol,DenseNeuroVol-method
- Convert ClusteredNeuroVol to DenseNeuroVol
-
as
- conversion from
NeuroVol
toLogicalNeuroVol
-
as.dense(<ClusteredNeuroVol>)
as.dense(<ROIVol>)
- Coerce ROIVol to DenseNeuroVol using as.dense method
-
as.dense()
- Convert to dense representation
-
as.list(<FileBackedNeuroVec>)
as.list(<NeuroVec>)
as.list(<SparseNeuroVec>)
- Convert FileBackedNeuroVec to List
-
as.logical(<NeuroVol>)
as.logical(<ROIVol>)
- as.logical
-
as.mask(<NeuroVol>,<missing>)
as.mask(<NeuroVol>,<numeric>)
- Convert NeuroVol to a mask
-
as.mask()
- Convert to a LogicalNeuroVol
-
as.matrix(<MappedNeuroVec>)
as.matrix(<NeuroVec>)
as.matrix(<DenseNeuroVec>)
as.matrix(<ROIVec>)
as.matrix(<SparseNeuroVec>)
- convert a
NeuroVec
to a matrix
-
as.matrix()
- Generic as.matrix Method
-
as.numeric(<SparseNeuroVol>)
as.numeric(<ROIVol>)
- Convert SparseNeuroVol to numeric
-
as.raster
- Generic Method for Converting Objects to Raster Format
-
as.sparse(<DenseNeuroVec>,<LogicalNeuroVol>)
as.sparse(<DenseNeuroVec>,<numeric>)
as.sparse(<DenseNeuroVol>,<LogicalNeuroVol>)
as.sparse(<DenseNeuroVol>,<numeric>)
as.sparse(<ROIVol>,<ANY>)
- Convert DenseNeuroVec to sparse representation using mask
-
as.sparse()
- Convert to from dense to sparse representation
-
as_nifti_header()
- Construct a Minimal NIfTI-1 Header from a NeuroVol
-
close(<BinaryReader>)
close(<BinaryWriter>)
- Close a BinaryReader or BinaryWriter
-
plot(<NeuroSlice>)
plot(<NeuroVol>)
- Plot a NeuroSlice
-
Arith(<NeuroVec>,<NeuroVol>)
- Arithmetic Operations for NeuroVec and NeuroVol
-
Arith(<NeuroVol>,<NeuroVec>)
- Arithmetic Operations for NeuroVol and NeuroVec
-
Arith(<ROIVol>,<ROIVol>)
- This function performs arithmetic operations on two ROIVol objects.
-
Arith(<SparseNeuroVol>,<SparseNeuroVol>)
Arith(<DenseNeuroVol>,<DenseNeuroVol>)
Arith(<DenseNeuroVec>,<DenseNeuroVec>)
Arith(<SparseNeuroVol>,<NeuroVol>)
Arith(<NeuroVol>,<SparseNeuroVol>)
Arith(<NeuroVec>,<NeuroVec>)
Arith(<SparseNeuroVec>,<SparseNeuroVec>)
- Arithmetic Operations
-
Compare(<SparseNeuroVol>,<numeric>)
Compare(<numeric>,<SparseNeuroVol>)
Compare(<NeuroVec>,<NeuroVec>)
- Comparison Operations
-
Summary(<SparseNeuroVec>)
Summary(<SparseNeuroVol>)
Summary(<DenseNeuroVol>)
- Summary method for Neuroimaging objects
-
add_dim()
- Add a Dimension to an Object
-
axes()
- Extract Image Axes
-
bounds()
- Extract Spatial Bounds of an Image
-
centroid()
- return the centroid of an object
-
centroids()
- Return a matrix of centroids of an object
-
concat()
- Concatenate two objects in the time dimension
-
conn_comp()
- Connected components
-
coord_to_grid()
- convert n-dimensional real world coordinates to grid coordinates
-
coord_to_index()
- convert n-dimensional real world coordinates to 1D indices
-
coords(<IndexLookupVol>)
coords(<ROIVol>)
coords(<ROICoords>)
coords(<AbstractSparseNeuroVec>)
- Extract Coordinates from an IndexLookupVol Object
-
data_file()
- Generic function to get the name of the data file, given a file name and a
FileFormat
instance.
-
data_file_matches()
- Generic function to test whether a file name conforms to the given a
FileFormat
instance. Will test for match to data file only
-
data_reader(<NIFTIMetaInfo>)
data_reader(<AFNIMetaInfo>)
- Create Data Reader for AFNI Format
-
embed_kernel()
- Generic function to position kernel in a postion in image space
-
file_matches()
- Generic function to test whether a file name conforms to the given
FileFormat
instance. Will test for match to either header file or data file
-
grid_to_coord()
- Generic function to convert N-dimensional grid coordinate coordinates to real world coordinates
-
grid_to_grid()
- Generic function to convert voxel coordinates in the reference space (LPI) to native array space.
-
grid_to_index()
- Generic function to convert N-dimensional grid coordinate to 1D indices
-
header_file()
- Generic function to get the name of the header file, given a file name and a
FileFormat
instance.
-
header_file_matches()
- Generic function to test whether a file name conforms to the given
FileFormat
instance. Will test for match to header file only
-
index_to_coord()
- convert 1d indices to n-dimensional real world coordinates
-
index_to_grid()
- Convert 1d indices to n-dimensional grid coordinates
-
inverse_trans()
- Extract inverse image coordinate transformation
-
linear_access(<FileBackedNeuroVec>,<numeric>)
linear_access(<MappedNeuroVec>,<numeric>)
linear_access(<NeuroHyperVec>,<ANY>)
linear_access(<NeuroVecSeq>,<numeric>)
linear_access(<SparseNeuroVol>,<numeric>)
linear_access(<AbstractSparseNeuroVec>,<numeric>)
- Linear Access Method for FileBackedNeuroVec
-
load_data(<MappedNeuroVecSource>)
load_data(<NeuroVecSource>)
load_data(<NeuroVolSource>)
load_data(<SparseNeuroVecSource>)
- Load image data from a NeuroVecSource object
-
mapf()
- Apply a function to an object.
-
map_values()
- Map Values from One Set to Another Using a User-supplied Lookup Table
-
matricized_access()
- Extract values from a matricized (x,y,z) of a 4D tensor using a space-time coordinate matrix.
-
ndim(<AxisSet>)
- Get number of dimensions in axis set
-
ndim()
- Extract the number of dimensions of an object
-
num_clusters(<ClusteredNeuroVol>)
- Number of Clusters
-
origin()
- Extract Image Origin
-
partition()
- Partition an image into a set of disjoint clusters
-
patch_set(<NeuroVol>,<numeric>,<missing>)
patch_set(<NeuroVol>,<numeric>,<LogicalNeuroVol>)
- Create a patch set from a NeuroVol object
-
perm_mat(<AxisSet2D>)
- Get permutation matrix from axis set
-
perm_mat(<AxisSet3D>)
- Get permutation matrix from axis set
-
perm_mat(<NeuroSpace>)
- Get permutation matrix from axis set
-
read_columns()
- Read a set of column vector from an input source (e.g.
ColumnReader
)
-
read_elements(<BinaryReader>,<numeric>)
- Read Elements from Binary Reader
-
read_meta_info()
- Generic function to read image meta info given a file
-
reorient()
- Remap the grid-to-world coordinates mapping of an image.
-
resample()
- Resample an Image to Match the Space of Another Image
-
scale_series()
- Generic functions to scale (center and/or normalize by standard deviation) each series of a 4D image That is, if the 4th dimension is 'time' each series is a 1D time series.
-
series(<NeuroHyperVec>,<ANY>)
- Series method for NeuroHyperVec
-
series()
series_roi(<NeuroVec>,<matrix>)
series_roi(<NeuroVec>,<ROICoords>)
series_roi(<NeuroVec>,<LogicalNeuroVol>)
series_roi(<NeuroVec>,<numeric>)
series_roi(<NeuroVecSeq>,<matrix>)
- Extract one or more series from object
-
slice()
- Extract image slice
-
slices()
- Extract an ordered series of 2D slices from a 3D or 4D object
-
space()
- Extract Geometric Properties of an Image
-
spacing()
- Extract Voxel Dimensions of an Image
-
split_blocks()
- Cut a vector-valued object into a list of sub-blocks
-
split_clusters()
- Cut an object into a list of spatial or spatiotemporal clusters
-
split_fill()
- Fill Disjoint Sets of Values with the Output of a Function
-
split_reduce()
- Summarize Subsets of an Object by Splitting by Row and Applying a Summary Function
-
split_scale()
- Center and/or Scale Row-subsets of a Matrix or Matrix-like Object
-
strip_extension()
- Generic function to strip extension from file name, given a
FileFormat
instance.
-
sub_vector()
- Generic function to extract a sub-vector from a
NeuroVec
object.
-
trans()
- Extract image coordinate transformation
-
values()
- Extract Data Values of an Object
-
vectors()
- Extract an ordered list of 1D vectors.
-
vols()
- Extract an ordered series of 3D volumes.
-
voxels()
- extract voxel coordinates
-
which_dim()
- Find Dimensions of a Given Axis
-
write_elements(<BinaryWriter>,<numeric>)
- Write Elements to Binary Writer
-
write_vec()
- Write a 4d image vector to disk
-
write_vol()
- Write a 3d image volume to disk
-
None
- Pre-defined null axis