medvis 0.0.1

Some utilities to visualise medical images and masks

Tools to visualise medical images.

Installation

To install, run

pip install medvis

Example

The following example will plot a PET/CT image with alpha blended PET signal ontop of a grayscale CT image. The outline of two masks are shown with a legend that specifies what the different colours represent.

import matplotlib.pyplot as plt
import medvis


ct_image = ...
pet_image = ...
binary_true_mask = ...
binary_pred_mask = ...

true_colour = "tomato"
pred_colour = "skyblue"

blended_pet_image = medvis.apply_cmap_with_blend(pet_image, 'magma')
true_mask_outline = medvis.create_outline(binary_true_mask, width=2, colour=true_colour)
pred_mask_outline = medvis.create_outline(binary_pred_mask, width=2, colour=pred_colour)

fig, ax = plt.subplots()
ax.imshow(ct_image, cmap='gray')
ax.imshow(blended_pet_image)
ax.imshow(true_mask_outline)
ax.imshow(pred_mask_outline)
medvis.create_legend([true_colour, pred_colour], ["True mask", "Predicted mask"], ax=ax)

plt.show()