T1-mapping with variable TR and FA

5-dimensions dataset simulating MRI data collected fro T1-mapping using the technical of variable flip angles and repetition times.

Gnerate synthetic data and extract coordinates and array.

import numpy as np
from dbdicom import dro

data = dro.T1_mapping_vFATR()
dims = ('SliceLocation', 'FlipAngle', 'RepetitionTime')
#coords = data.coords(dims)

Display the data at the smallest flip angle and repetition time

from dbdicom.extensions.matplotlib import plot_mosaic

im0 = data.extract(FlipAngle=20, RepetitionTime=5.0)
plot_mosaic(im0, zdim='SliceLocation', gridspacing=500)


# Choose the last image as a thumbnail for the gallery
# sphinx_gallery_thumbnail_number = -1