dna-medical

AMIDE – multimodality medical image analysis

AMIDE (Amide’s a Medical Image Data Examiner) is a medical imaging application for viewing, analysing and registering anatomical and functional volumetric datasets. It is designed for multimodality imaging, allowing researchers to examine information acquired using different imaging techniques within a single study.

The application supports simultaneous viewing of multiple datasets. Images can be displayed separately or combined through blending and overlays, making it possible to compare anatomical structures with functional imaging information. Users can navigate volumes in different orientations, examine individual slices and work with time-dependent image data.

AMIDE provides tools for defining regions of interest, calculating measurements and aligning datasets. It also includes volume rendering and image processing capabilities, making it useful for research involving PET, CT, MRI and other medical imaging modalities.

This is free and open source software.

Key Features

  • Load and display multiple medical imaging datasets simultaneously.
  • Combine datasets using linked views, image blending and overlays.
  • View image slices with arbitrary orientations, thicknesses and time intervals.
  • Draw three-dimensional regions of interest, including ellipsoids, cylinders, boxes and isocontours.
  • Calculate statistical information from selected regions of interest.
  • Align datasets using fiducial markers and rigid body transformations.
  • Apply nearest-neighbour and trilinear interpolation.
  • Adjust image zoom, colour maps and intensity thresholds.
  • Apply Gaussian, one-dimensional median and three-dimensional median filtering.
  • Crop image datasets and clear selected regions.
  • Generate line profiles, Gaussian fits and full width at half maximum measurements.
  • Render multiple volumetric datasets and generate stereoscopic image pairs.
  • Create animations from image slices and volume renderings.
  • Import DICOM, Analyze, ECAT, InterFile, ACR/NEMA and supported raw image formats.
  • Save study information, datasets and regions of interest in XML-based study files.
  • Cross-platform support – runs on Linux, macOS, and Windows.

Website: amide.sourceforge.net
Support:
Developer: Andreas Loening
License: GNU General Public License v2.0

AMIDE

AMIDE is written in C. Learn C with our recommended free books and free tutorials.


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