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Use loop to plot slices #1358

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Merged
fepegar merged 1 commit into from
Aug 3, 2025
Merged

Use loop to plot slices #1358

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71 changes: 34 additions & 37 deletions src/torchio/visualization.py
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Original file line number Diff line number Diff line change
Expand Up @@ -78,7 +78,6 @@ def plot_volume(
fig = None
if axes is None:
fig, axes = plt.subplots(1, 3, figsize=figsize)
sag_axis, cor_axis, axi_axis = axes

if reorient:
image = ToCanonical()(image) # type: ignore[assignment]
Expand Down Expand Up @@ -116,7 +115,6 @@ def plot_volume(
if 'interpolation' not in imshow_kwargs:
imshow_kwargs['interpolation'] = 'bicubic'

sr, sa, ss = image.spacing
imshow_kwargs['origin'] = 'lower'

if not is_label:
Expand All @@ -131,41 +129,40 @@ def plot_volume(
imshow_kwargs['vmin'] = p1
imshow_kwargs['vmax'] = p2

sag_aspect = ss / sa
sag_axis.imshow(
slice_x,
aspect=sag_aspect,
**imshow_kwargs,
)
if xlabels:
sag_axis.set_xlabel('A')
sag_axis.set_ylabel('S')
sag_axis.invert_xaxis()
sag_axis.set_title('Sagittal')

cor_aspect = ss / sr
cor_axis.imshow(
slice_y,
aspect=cor_aspect,
**imshow_kwargs,
)
if xlabels:
cor_axis.set_xlabel('R')
cor_axis.set_ylabel('S')
cor_axis.invert_xaxis()
cor_axis.set_title('Coronal')

axi_aspect = sa / sr
axi_axis.imshow(
slice_z,
aspect=axi_aspect,
**imshow_kwargs,
)
if xlabels:
axi_axis.set_xlabel('R')
axi_axis.set_ylabel('A')
axi_axis.invert_xaxis()
axi_axis.set_title('Axial')
spacing_r, spacing_a, spacing_s = image.spacing
sag_axis, cor_axis, axi_axis = axes
slices_dict = {
'Sagittal': {
'aspect': spacing_s / spacing_a,
'slice': slice_x,
'xlabel': 'A',
'ylabel': 'S',
'axis': sag_axis,
},
'Coronal': {
'aspect': spacing_s / spacing_r,
'slice': slice_y,
'xlabel': 'R',
'ylabel': 'S',
'axis': cor_axis,
},
'Axial': {
'aspect': spacing_a / spacing_r,
'slice': slice_z,
'xlabel': 'R',
'ylabel': 'A',
'axis': axi_axis,
},
}

for title, info in slices_dict.items():
axis = info['axis']
axis.imshow(info['slice'], aspect=info['aspect'], **imshow_kwargs)
if xlabels:
axis.set_xlabel(info['xlabel'])
axis.set_ylabel(info['ylabel'])
axis.invert_xaxis()
axis.set_title(title)

plt.tight_layout()
if title is not None:
Expand Down
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