Eidolon
Eidolon is a biomedical visualization and analysis framework designed to render spatial biomedical data (images and meshes) and provide facilities for image reconstruction, analysis, and computation. Implemented in Python with rendering provided by the Ogre3D engine, Eidolon presents a powerful workbench environment for Windows, OSX, and Linux.
Visualize Data
Meshes |
Images |
Combined |
Eidolon can visualize mesh and image data in 3D, rendering multiple mesh fields and representations with images in the same environment. Spatial information stored in files is respected thus ensuring spatial relationships are correct. Many popular file formats are supported (VTK, NIfTI, Dicom, MetaImage).
View Images in 2D
Single Image |
Multiple Images |
Image and Mesh |
Create 2D views in Eidolon to visualize individual image planes and the data they intersect with. Meshes passing through images can be visualized as isolines, and other images can be overlaid to allow the user to assess spatial correlation.
Visualize in Time
Meshes |
Images |
Combined |
Mesh and image data which is time dependent can be rendered in Eidolon simultaneously. Timing information is read from input data to ensure data correlates temporally during playback.
Perform Cardiac Analysis
Segment |
Motion Track |
Analyze |
The Cardiac Motion Project provides the tools for segmenting, motion tracking, and then analyzing left ventricle function. These tools allow the user to measure strain, ejection fraction, wall thickness, volume (SDI), and torsion.
Process Data
Script Interface |
Python Console |
Image Processing Projects |
Eidolon exposes its internal data structures and algorithms to user scripts which can be loaded at runtime. This allows custom processing of loaded data to be performed with Numpy, Scipy, or imported additional libraries. The runtime Python console allows users to probe and experiment with loaded data, allowing Eidolon to function as a workbench environment. Image processing projects expose IRTK/MIRTK functionality for image registration, alignment, motion tracking, and other image processing tasks.
Extend Platform
Custom Code |
Custom UI |
Plugin Interface |
Write custom modules and scripts to extend the capabilities of Eidolon. New user interfaces can be easily imported using PyQt to provide custom interactive components. The plugin-oriented architecture allows the extension of virtually all aspects of the platform, permitting plugins to be created to import file formats, implement algorithms, and process data.
Screenshots
DicomBrowser
Eidolon loads Dicom images into scene objects for rendering in 2D and 3D. A simpler tool for viewing Dicom images individually in 2D is DicomBrowser, a cross-platform application available for Windows, OSX, and Linux. This tool does nothing else but render uncompressed Dicom images in a 2D window with a few simple visualization and analysis functions.
Download the latest release on Github.
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Copyright (c) 2016 Eric Kerfoot eric.kerfoot@kcl.ac.uk, King’s College London, all rights reserved
This research was partly supported by the National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) at Guy’s and St Thomas’ NHS Foundation Trust. Views expressed are those of the authors and not necessarily of the NHS, the NIHR, or the Dept. of Health.