Welcome to Retrospective Image Registration Evaluation Project (R.I.R.E.), Version 3.0!
Update: Datasets are now available as sustainable open-access!
The project is designed to compare retrospective CT-MR and PET-MR registration techniques used by a number of groups. It involves the use of a database of image volumes, commonly known as the "Vanderbilt Database", on which the registrations are to be performed. Research groups may download the datasets freely and perform registrations on the image volumes using their own retrospective techniques.
The "truth" transforms have been defined using a prospective, marker-based technique, and they remain sequestered. New to Version 3.0, the open-access datasets are made available sustainably through hosting on the distributed Web3 InterPlanetary FileSystem (IPFS) on web3.storage and estuary.tech. Previous web service functionality to evaluate registration results submitted by research groups is not maintained. The website sources are available on GitHub and hosted on Fleek.
Tools are available for converting the RIRE images to DICOM format. You can find two versions—one for Linux and one for Windows— in the Download Tools. Once you have converted the files that you wish to use, they can be loaded by any tool that loads images in DICOM format.
The original RIRE project was sponsored by the National Institute of Biomedical Imaging and Bioengineering, Project Number 8R01EB002124-03, Principal Investigator, J. Michael Fitzpatrick, Vanderbilt University, Nashville, TN. Prior to RIRE, this was called the "Retrospective Registration Evaluation Project (RREP)".
Related Publications
- Comparision and evaluation of retrospective intermodality image registration technique, SPIE Medim'96, SPIE 2710, pp. 332-347, 1996
(text only: ) - Comparision and evaluation of retrospective intermodality image brain image registration techniques, Journal of Computer Assisted Tomography, vol.21, pp. 554-566, 1997 (text only: )
- Predicting Error in Rigid-body, Point-based Registration, IEEE Trans. Medical Image special issue on Image Registration, IEEE TMI, vol.17, pp. 694-702, 1998
