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import gradio as gr | |
import numpy as np | |
import nrrd | |
import matplotlib.pyplot as plt | |
import io | |
from PIL import Image | |
# Set Matplotlib to use the 'Agg' backend | |
plt.switch_backend('Agg') | |
def load_nrrd(file_obj): | |
data, _ = nrrd.read(file_obj) | |
return data | |
def get_slice(data, slice_index, view): | |
if view == "Axial": | |
return data[:, :, slice_index] | |
elif view == "Coronal": | |
return data[:, slice_index, :] | |
elif view == "Sagittal": | |
return data[slice_index, :, :] | |
def visualize_slice(file_obj, slice_index, view): | |
data = load_nrrd(file_obj) | |
# Get the appropriate slice based on the selected view | |
slice_image = get_slice(data, slice_index, view) | |
# Rotate the image 90 degrees clockwise | |
slice_image = np.rot90(slice_image, k=-1) | |
# Flip the image from left to right along the vertical axis | |
slice_image = np.fliplr(slice_image) | |
# Flip the image from top to bottom along the horizontal axis for coronal and sagittal views | |
if view in ["Coronal", "Sagittal"]: | |
slice_image = np.flipud(slice_image) | |
# Plot the slice | |
fig, ax = plt.subplots() | |
ax.imshow(slice_image, cmap='gray') | |
plt.axis('off') | |
# Convert matplotlib figure to PIL Image | |
buf = io.BytesIO() | |
fig.savefig(buf, format='png') | |
plt.close(fig) | |
buf.seek(0) | |
pil_img = Image.open(buf) | |
return pil_img | |
def update_slider(file_obj, view): | |
data = load_nrrd(file_obj) | |
if view == "Axial": | |
num_slices = data.shape[2] | |
elif view == "Coronal": | |
num_slices = data.shape[1] | |
elif view == "Sagittal": | |
num_slices = data.shape[0] | |
middle_slice = num_slices // 2 # Calculate the middle slice | |
return gr.update(maximum=num_slices-1, value=middle_slice) # Set the slider to start in the middle | |
with gr.Blocks() as app: | |
gr.Markdown("## NRRD Slice Visualizer") | |
gr.Markdown("Upload an NRRD file and use the slider to select and visualize slices.") | |
file_input = gr.File(label="Upload NRRD File") | |
view_selector = gr.Dropdown(choices=["Axial", "Coronal", "Sagittal"], value="Axial", label="View Selector") | |
slider = gr.Slider(minimum=0, maximum=1, step=1, value=0, label="Slice Selector") | |
image_output = gr.Image(type="pil", label="Selected Slice") | |
file_input.change(fn=update_slider, inputs=[file_input, view_selector], outputs=slider) | |
view_selector.change(fn=update_slider, inputs=[file_input, view_selector], outputs=slider) | |
file_input.change(fn=visualize_slice, inputs=[file_input, slider, view_selector], outputs=image_output) | |
slider.change(fn=visualize_slice, inputs=[file_input, slider, view_selector], outputs=image_output) | |
view_selector.change(fn=visualize_slice, inputs=[file_input, slider, view_selector], outputs=image_output) | |
app.launch() |