| Name | medviz JSON |
| Version |
1.2.0
JSON |
| download |
| home_page | None |
| Summary | Medical Image Visualization Tool 🐍🚀🎉🦕 |
| upload_time | 2024-03-26 02:56:56 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.6 |
| license | GPL-3.0 License |
| keywords |
mri
ct
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
==============
MedViz
==============
MedViz is a Python package for medical image visualization. It provides a set of functions for visualizing medical images and masks. The package is built on top of the `matplotlib` and `nibabel` packages.
Installation
------------
To install the package, use pip:
.. code-block:: bash
pip install medviz
Usage
-----
To use the package, import it in your Python code:
.. code-block:: python
import medviz
medviz.layered_plot(image_path="dataset/1-1.nii", mask_paths=["dataset/small_bowel.nii", "dataset/1-1-label.nii"], mask_colors=["red", "yellow"], title="Layered Plot")
The `layered_plot` function creates a layered plot of an image and one or more masks. The masks are overlaid on top of the image using the specified colors. The resulting plot can be used to visualize the location of structures or regions of interest in the image.
.. code-block:: python
import medviz
medviz.gif(
image_path="dataset/1-1.nii",
mask_paths=[
"dataset/small_bowel.nii",
"dataset/1-1-label.nii",
"dataset/vertebrae_L3.nii.gz",
"dataset/vertebrae_L4.nii.gz",
"dataset/vertebrae_L5.nii.gz",
],
mask_colors=["red", "yellow", "green", "blue", "purple"],
title="Expert Annotations",
interval=70,
start_slice=30,
end_slice=130,
save_path="animation.gif",
)
The `gif` function creates an animated GIF of an image and one or more masks. The masks are overlaid on top of the image using the specified colors. The resulting GIF can be used to visualize the location of structures or regions of interest in the image.
GitHub repository: [https://github.com/mohsenhariri/medviz](https://github.com/mohsenhariri/medviz)
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"description": "==============\nMedViz\n==============\n\nMedViz is a Python package for medical image visualization. It provides a set of functions for visualizing medical images and masks. The package is built on top of the `matplotlib` and `nibabel` packages.\n\nInstallation\n------------\n\nTo install the package, use pip:\n\n.. code-block:: bash\n\n pip install medviz\n\n\nUsage\n-----\n\nTo use the package, import it in your Python code:\n\n.. code-block:: python\n\n import medviz\n\n medviz.layered_plot(image_path=\"dataset/1-1.nii\", mask_paths=[\"dataset/small_bowel.nii\", \"dataset/1-1-label.nii\"], mask_colors=[\"red\", \"yellow\"], title=\"Layered Plot\")\n\nThe `layered_plot` function creates a layered plot of an image and one or more masks. The masks are overlaid on top of the image using the specified colors. The resulting plot can be used to visualize the location of structures or regions of interest in the image.\n\n\n.. code-block:: python\n\n import medviz\n\n medviz.gif(\n image_path=\"dataset/1-1.nii\",\n mask_paths=[\n \"dataset/small_bowel.nii\",\n \"dataset/1-1-label.nii\",\n \"dataset/vertebrae_L3.nii.gz\",\n \"dataset/vertebrae_L4.nii.gz\",\n \"dataset/vertebrae_L5.nii.gz\",\n ],\n mask_colors=[\"red\", \"yellow\", \"green\", \"blue\", \"purple\"],\n title=\"Expert Annotations\",\n interval=70,\n start_slice=30,\n end_slice=130,\n save_path=\"animation.gif\",\n )\n\nThe `gif` function creates an animated GIF of an image and one or more masks. The masks are overlaid on top of the image using the specified colors. The resulting GIF can be used to visualize the location of structures or regions of interest in the image.\n\nGitHub repository: [https://github.com/mohsenhariri/medviz](https://github.com/mohsenhariri/medviz)\n",
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