imfusion-sdk

Disclaimer:

Not for commercial use.

This python package is currently a public beta release. You can use it free of charge for non-commercial applications until further notice. To use it, you still require a (free) license key, which you can get from the Python SDK product page <https://shop.imfusion.com/products/imfusion-python-sdk>_. For commercial applications, please get in touch with us at [e-mail].

Note also, the functionality offered here is only a subset of the Python bindings we have available. In particular, modality-specific plugins (e.g. for Ultrasound, CT, etc.) are not included. Please reach out to us if you are interested in such functionality or visit our webshop <https://shop.imfusion.com/>_.

.. image:: https://www.imfusion.com/images/imfusion/imfusion_logo_hires.png :width: 500 :align: center

Overview

Description

The imfusion package enables easy and fast loading, handling and processing of medical image data. It is a wrapper around the ImFusion SDK and exposes a subset of its functionality to Python. The major advantages of using imfusion are:

• High Performance:

  Leveraging optimized C++ for fast execution and OpenGL for GPU acceleration, ensuring compatibility with various GPU vendors.

• Versatile Data Structures:

  Handle a wide range of medical images and data types, including 2D/3D images, metadata, deformations, rotations, masks, and segmentations. It also supports keypoints, point clouds, and meshes.

• Extensive Set of Algorithms:

  Access a vast array of image processing algorithms, from basic cropping to complex multi-modal image registration. Even algorithms that don't have dedicated Python bindings can be executed through a functional interface.

• File Format Support:

  Load and save numerous medical imaging formats, including Nifti, MHD, Dicom, HDF5, PNG, and JPG and featuring a reliable Dicom loader used in FDA-approved products.

• Deployment-Ready Data Pipelines:

  Construct efficient data pipelines for ML model training and deployment, ensuring consistent pre-processing and post-processing.

• numpy-like arithmetic but with images

  Perform arithmetic operations on images with a functional API or operators, supporting GPU or CPU execution and, optionally, aggregated expression evaluation for enhanced performance.

• Built-in Data Visualization

  View your data with the bundled ImFusionVisualizer (imfusion.show) that includes a powerful 3D renderer for volumes, meshes and point clouds.

Documentation

Please find the documentation for this Python package at docs.imfusion.com/python <https://docs.imfusion.com/python>_.

Support

If you experience issues with this package, please let us know in our forum <https://forum.imfusion.com/c/python-sdk/>_.

For business inquiries please contact [e-mail].