Data Science For Health (DS4H)
Image Alignment Tool
Freely available ImageJ/Fiji plugin to align multimodal 2D images
DESCRIPTION:
Data Science for Health (DS4H) Image Alignment is a user-friendly tool freely provided as an ImageJ/Fiji plugin. With DS4H Image Alignment, partially overlapping multimodal images can be easily co-registered according to several automatic, semi-automatic, manual (by defining with a few clicks some common reference marks) modalities. The implemented least-squares method automatically approximates the solution of the mathematical overdetermined system, so to define the registration matrix then used for aligning the different 2D images. It also considers rotations and scale changes in case the images to be aligned are dilated/shrinked. Finally, it provides an iterative subroutine for a fine alignment, to give the opportunity to always improve the image co-registration quality.
IMPLEMENTATION:
DS4H Image Alignment has been implemented in Java as a plugin for ImageJ/Fiji. It works with the most medical image Bio-Formats.
DOWNLOAD:
DS4H Image Alignment VERSION 1.0 - 2023 (for Win, MAC, Linux).
DS4H Image Alignment VERSION 0.9 - 2019 (for Win).
LICENSE:
Copyright (C) 2019, the Data Science for Health (DS4H) group. All rights reserved.
Image Alignment and the material available on the Image Alignment website is licensed under the: GNU General Public License version 3
- This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
- This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
ACKNOWLEDGEMENTS:
We thanks all the University Students that helped in this project. In particular:
- 2023. Fabio Vincenzi, Student in Computer Sciences, University of Bologna, Italy.
- 2023. Matteo Iorio, Student in Computer Sciences, University of Bologna, Italy.
- 2022. Matteo Belletti, Student in Computer Sciences, University of Bologna, Italy.
- 2021. Marco Edoardo Duma, Student in Computer Sciences, University of Bologna, Italy.
- 2019. Stefano Belli, Student in Computer Sciences, University of Bologna, Italy.
CONTACT US:
The Data Science for Health (DS4H) group:
- Filippo Piccinini
Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola (FC), Italy
[email protected]
- Antonella Carbonaro
Department of Computer Science and Engineering (DISI), University of Bologna, Bologna, Italy
[email protected]