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Visual computing for medical imaging

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Overview

Develop, visualize, and test medical imaging workflows faster

Easy access to high-performance imaging capabilities

The ImFusion Suite is the visual interface to the ImFusion SDK. It gives researchers and developers direct access to our medical image computing capabilities in an interactive desktop application, making it easy to inspect data, configure algorithms, combine processing steps, and see results immediately.

Comprehensive workflow and modality coverage

Work with 2D, 3D, and 4D data from different modalities in one workspace. Compare and fuse images, run registration, segmentation, and machine learning methods, and inspect the results in flexible 2D and 3D views. Save complete workflows for repeatable execution or process larger datasets in batches, helping you test approaches before committing to application development.

Suite example
VIDEOMulti-modal image registration using the ImFusion Suite

Build medical imaging workflows interactively

One environment for prototyping, processing, and visualization

Unified interface for diverse modalities

One environment for all your imaging data

Bring heterogeneous medical imaging and spatial data into one consistent environment for visualization, processing, and comparison. ImFusion Suite removes the need for separate tools and conversion steps, allowing you to construct multimodal workflows while preserving the dimensional, temporal, and spatial context of each dataset.

suite-modalities
Multidimensional image data

Work with 2D, 3D, and 4D single or multichannel images from different imaging modalities.

Medical and geometric file formats

Import DICOM data directly from file systems or PACS alongside NIfTI, MetaImage, common image and video formats, and PLY or OBJ geometry.

Synchronized dynamic data

Combine image streams with timestamps and tracking information to develop and evaluate real-time imaging workflows.

Algorithmic processing

Configure, test, and compare processing workflows interactively

Build and evaluate medical image processing workflows without implementing every component from scratch. ImFusion Suite combines established algorithms with GPU acceleration and machine learning integration, allowing you to configure processing steps, inspect intermediate results, and compare different approaches interactively.

Suite algorithms
Automatic image registration

Align images using rigid, affine, or deformable models, with GPU-accelerated similarity metrics for both single-modality and multimodal data.

Labeling and segmentation

Create and refine annotations with manual and semi-automatic tools for segmenting structures in 2D and 3D datasets.

Machine learning integration

Apply machine learning models within broader processing workflows and combine their outputs with registration, segmentation, visualization, and further analysis.

Advanced visualization

See images, anatomy, and spatial relationships in context

Explore medical images, anatomical models, and geometric data together in responsive 2D and 3D views. ImFusion Suite combines GPU-accelerated rendering with flexible layouts and specialized techniques for challenging data, allowing you to inspect processing results and spatial relationships interactively.

Suite algorithms
Flexible 2D and 3D layouts

Configure 2D, 3D, and multiplanar reconstruction views to examine datasets from different perspectives within one workspace.

Combined image and geometry rendering

Blend and fuse multiple images with segmentations, meshes, landmarks, and other geometric data to visualize their spatial relationships.

Real-time rendering and interaction

Use global illumination, order-independent transparency, clipping, masking, and deformation fields interactively. Gradient-free shading improves the visualization of noisy volumes such as 3D ultrasound.

Integrated development environment & modular architecture

Easily develop, test, and extend your applications

Access ImFusion SDK capabilities through an interactive interface for developing, configuring, and testing algorithms in C++ or Python. A plugin-based architecture lets you combine specialized modules for medical imaging, machine learning, computer vision, and robotics, while adding custom functionality without changing the core application.

Suite algorithms
Reproducible workspaces

Store processing steps, parameters, data references, and view configurations in XML-based workspaces that can be shared and executed consistently.

Batch processing

Apply configured workspaces across multiple datasets to evaluate algorithms and process larger data collections efficiently.

Standalone console application

Run the same workspaces from a standalone console application without the graphical interface, making them suitable for automated processing pipelines.

Documentation ImFusion Suite

Explore the full functionality including examples and tutorials

Demos

Video tutorials

  • Image import and visualization

  • Running algorithms

  • Interactive segmentation

Request a demo

Get a technical walkthrough of the platform to see our key workflows in action and assess fit.

Product Demo

In a product demo, we show you how the ImFusion Suite, SDK, and ImFusion Labels support medical imaging and data annotation workflows. We focus on the capabilities relevant to your application and discuss directly how our technology could fit into your product or support your use case.

  • See integration points mapped to your specific tech stack
  • Identify bottlenecks before committing development resources
  • Validate data format compatibility and transformation requirements
  • Get immediate answers from engineers who built the system