mvpa2.atlases.warehouse.FSLProbabilisticAtlas¶
-
class
mvpa2.atlases.warehouse.
FSLProbabilisticAtlas
(thr=0.0, strategy='all', sort=True, *args, **kwargs)¶ Probabilistic FSL atlases
Methods
Parameters: thr : float
Value to threshold at
strategy : str
- Possible values
all - all entries above thr max - entry with maximal value
sort : bool
Either to sort entries for ‘all’ strategy according to probability
filename : str
Filename for the xml definition of the atlas
resolution : None or float
Some atlases link to multiple images at different resolutions. if None – best resolution is selected using 0th dimension resolution
image_file : None or str
If None, overrides filename for the used imagefile, so it could load a custom (re-registered) atlas maps
coordT :
Optional transformation to apply first
default_levels : None or slice or list of int
What levels by default to operate on
load_maps : bool
Load spatial maps for the atlas.
Methods
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find
(*args, **kwargs)¶ Just a shortcut to the only level.
See
find
for more info
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get_map
(target, strategy='unique', axes_order='xyz')¶ Return a probability map as an array
Parameters: target : int or str or re._pattern_type
If int, map for given index is returned. Otherwise, .find is called with
unique=True
to find matching areastrategy : str in (‘unique’, ‘max’)
If ‘unique’, then if multiple areas match, exception would be raised. In case of ‘max’, each voxel would get maximal value of probabilities from all matching areas
axes_order : str in (‘xyz’, ‘zyx’)
In what order axes of the returned array should follow.
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get_maps
(target, axes_order='xyz', key_attr=None, overlaps=None)¶ Return a dictionary of probability maps for the target
Each key is a
Label
instance, and value is the probability mapParameters: target : str or re._pattern_type
.find is called with a target and unique=False to find all matches
axes_order : str in (‘xyz’, ‘zyx’)
In what order axes of the returned array should follow.
key_attr : None or str
overlaps : None or {‘max’}
How to treat overlaps in maps. If None, nothing is done and maps might have overlaps. If ‘max’, then maps would not overlap and competing maps will be resolved based on maximal value (e.g. if maps contain probabilities).
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label_voxel
(c, levels=None)¶ Return labels for the voxel
Parameters: c : tuple of coordinates (xyz)
- levels : just for API consistency (heh heh). Must be 0 for FSL atlases