# In the ``actor`` module we can find all the different primitives e.g.,
# streamtubes, lines, image slices, etc.
#
# In the ``ui`` module we have some other objects which allow to add buttons
# and sliders and these interact both with windows and actors. Because of this
# they need input from the operating system so they can process events.
#
# Let's get started. In this tutorial, we will visualize some bundles
# together with FA or T1. We will be able to change the slices using
# a ``LineSlider2D`` widget.
#
# First we need to fetch and load some datasets.
from dipy.data.fetcher import fetch_bundles_2_subjects, read_bundles_2_subjects
fetch_bundles_2_subjects()
###############################################################################
# The following function outputs a dictionary with the required bundles e.g.
# ``af left`` (left arcuate fasciculus) and maps, e.g. FA for a specific
# subject.
res = read_bundles_2_subjects('subj_1', ['t1', 'fa'],
['af.left', 'cst.right', 'cc_1'])
###############################################################################
# We will use 3 bundles, FA and the affine transformation that brings the voxel
# coordinates to world coordinates (RAS 1mm).
streamlines = res['af.left'] + res['cst.right'] + res['cc_1']
data = res['fa']
streamtubes, lines, image slices, etc.
In the ``widget`` we have some other objects which allow to add buttons
and sliders and these interact both with windows and actors. Because of this
they need input from the operating system so they can process events.
Let's get started. In this tutorial, we will visualize some bundles
together with FA or T1. We will be able to change the slices using
a ``slider`` widget.
First we need to fetch and load some datasets.
"""
from dipy.data.fetcher import fetch_bundles_2_subjects, read_bundles_2_subjects
fetch_bundles_2_subjects()
"""
The following function outputs a dictionary with the required bundles e.g., af
left (left arcuate fasciculus) and maps, e.g., FA for a specific subject.
"""
res = read_bundles_2_subjects('subj_1', ['t1', 'fa'],
['af.left', 'cst.right', 'cc_1'])
"""
We will use 3 bundles, FA and the affine transformation that brings the voxel
coordinates to world coordinates (RAS 1mm).
"""
streamlines = res['af.left'] + res['cst.right'] + res['cc_1']