mirror of
https://gitlab.tugraz.at/ibi/projects/julia-pfitzer/esmrmb-educational.git
synced 2024-11-22 09:42:24 +00:00
39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
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import scipy.io as sio
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import matplotlib.pyplot as plt
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import numpy as np
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import matplotlib.gridspec as gridspec
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import matplotlib.cm as cm
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from mpl_toolkits.axes_grid1 import make_axes_locatable
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imagesPath=['T2_CPMG','T2_APCPMG', 'T2_APCP', 'T2_CP', 'T1']
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sliceRep = 12
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vmin = 0
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vmax = 200
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nMaps = len(imagesPath)
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fig = plt.figure(figsize=(1, 5), dpi=500)
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gs1 = gridspec.GridSpec(1, nMaps)
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gs1.update(wspace=0.020, hspace=0.020)
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for i in range(nMaps):
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if 'T1' in imagesPath[i]:
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mat_data = sio.loadmat(imagesPath[i]+'.mat')
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data = mat_data['t1map']
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print(data.shape)
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else:
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mat_data = sio.loadmat(imagesPath[i]+'.mat')
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data = mat_data['t2map']
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print(data.shape)
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ax1 = plt.subplot(gs1[i])
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ax1.set_xticklabels([])
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ax1.set_yticklabels([])
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ax1.set_aspect('equal')
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dataAux = data[sliceRep, :, :]
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imgPlot = ax1.imshow(abs(dataAux),vmin=vmin, vmax=vmax)
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ax1.axis('off')
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ax1.set_title(imagesPath[i], fontsize=4)
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cbar_ax = fig.add_axes([0.92, 0.35, 0.01, 0.30])
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norm = plt.Normalize(vmin=vmin, vmax=vmax)
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cbar = plt.colorbar(cm.ScalarMappable(norm=norm, cmap=cm.viridis), cax=cbar_ax)
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cbar.set_label('Time [ms]', fontsize=2)
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cbar.ax.tick_params(labelsize=2)
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plt.show()
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