This script helps to visualise 3D medical images of type DICOM and NII
Project description
MediVisio
MediVisio is a Python package designed to facilitate the visualization of 3D DICOM and NII (NIfTI) images. With its intuitive interface and extensive functionality, MediVisio allows users to explore, analyze, and interpret medical imaging data in a convenient and interactive manner.
Features
- 3D Visualization: Display DICOM and NII images in a three-dimensional space, enabling a comprehensive view of medical data from various angles and perspectives.
Installation
You can easily install MediVisio using pip, as shown below:
pip install medivisio
## Getting Started
Please note that MediVisio requires a Python environment with the necessary dependencies, such as NumPy, Matplotlib, and
PyDICOM, Nibabel.
To get started with MediVisio, you can refer to the provided examples and documentation.
### Usecase
Data directory path
Patients
|--PatientID
|--DICOM
|--N 2D Slices
|--NII
|--N 2D Slices or 3D Tensor
'''python
"""src_dir: Patients
img_type: "DICOM" or "NII"
img_label: "DICOM_Labels" or "NII_Labels"
"""
import MediVisio
#Deafault arguments
#alpha = 0.99, applymask = True
medivisio = MediVisio(src_dir, img_type, img_label)
'''
Reads and Plots 3D Data. You can scroll slices using your mouse. The first slice shown is the middle slice
'''python
medivisio.read_data()
'''
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