Share:
Peer-Reviewed Publication
Med Image Anal2026;113104160.June 20, 2026Journal Article

A plug-and-play method for guided multi-contrast MRI reconstruction based on content/style modeling.

Chinmay Rao1, Matthias van Osch2, Nicola Pezzotti3, Jeroen de Bresser2, Mark van Buchem2, Laurens Beljaards2, Jakob Meineke4, Elwin de Weerdt5, Huangling Lu2, Mariya Doneva4, Marius Staring2
1Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands. Electronic address: c.s.rao@lumc.nl.
2Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
3Cardiologs, Paris, France; Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands.
4Philips Innovative Technologies, Hamburg, Germany.
5Philips, Best, The Netherlands.

Abstract

Since the various contrast-weighted MR images of a given anatomy contain redundant information, one contrast can be used to guide the reconstruction of another undersampled contrast acquired subsequently in the same session. To solve this reconstruction problem leveraging multi-contrast side information, several end-to-end learning-based guided reconstruction methods have been proposed. However, a…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.