TWINNING OF MAGNETIC RESONANCE IMAGING RESEARCH INSTITUTES

HORIZON.4.1HORIZON-CSAID: 101078393
EC Contribution
€13,750
Consortium Size
5 orgs
Summary

Magnetic Resonance Imaging (MRI) is known as the most versatile and advanced medical imaging modality capable of producing tomographic images emphasizing different tissue (material) properties and hence facilitating the diagnosis of a wide range of anomalies. The complexity and the importance of MRI make it a specific research field with dedicated research centers throughout the world. Bilkent University’s National Magnetic Resonance Research Center (UMRAM) in Turkey is an established MRI research center with an excellent research track record but limited access to European research networks. The HE Twinning program aims at networking research institutes from the Widening countries (such as Turkey) with their advanced counterparts in Europe to integrate Widening countries into the European research network. In order to integrate UMRAM into the European research networks, Bilkent University-UMRAM as the coordinating partner, together with German Cancer Research Center - DKFZ (Germany), Universitätsklinikum Freiburg (Germany), and University of Nottingham (UK) as advanced partners are forming a team to conduct an EU Horizon Twinning Project (MRITwins) in the field of Magnetic Resonance Imaging. The project team’s research expertise lies in the field of “MR Engineering,” where novel hardware and enabling software is developed for MRI. Beyond the short-term goals of the twinning project, this team is formed to make a long-term impact on MR Engineering research by joining their complementary expertise. To initiate a long-term research collaboration between the project participants, the twinning program allows for an exploratory research component limited to 30% of the total budget. The scope of the MRITwins Project includes research work where highly credible project partners will explore the topic of “re-engineering MRI scanners with open-source hardware and software” with a specific focus on the novel gradient and radiofrequency array technologies.

Consortium (5)

Project Results (12)

Source: CORDIS, the EU research results database.

Publications (8)
Automated, open-source, vendor-independent quality assurance protocol based on the Pulseq framework
Magnetic Resonance Materials in Physics, Biology and Medicine· 2025DOI
Qingping Chen; Niklas Wehkamp; Cai Wan; Patrick Hucker; Martin Büchert; Sebastian Littin; Jon-Fredrik Nielsen; Maxim Zaitsev
IEEE Transactions on Medical Imaging
IEEE Transactions on Medical Imaging· 2025DOI
Manouchehr Takrimi; Ergin Atalar
Radial multi‐echo <scp>bSSFP</scp> and <scp>IDEAL</scp> chemical shift separation in k‐space for high‐speed <scp>3D</scp> hyperpolarized <scp><sup>13</sup>C</scp> metabolic <scp>MRI</scp>
Magnetic Resonance in Medicine· 2025DOI
Zirun Wang; Martin Grashei; Johannes Fischer; Sandra Sühnel; Nadine Setzer; Marcel Awenius; Andreas Korzowski; Ali C. Özen; Maxim Zaitsev; Michael Bock; Franz Schilling; Andreas B. Schmidt; Christoph A. Müller
Supine breast MRI using a wearable coil facilitates the translation of MR imaging findings to clinical practice
European Journal of Radiology· 2025DOI
Lena Nohava; Paola Clauser; Raphaela Czerny; Pascal A.T. Baltzer; Elmar Laistler
Ultimate Intrinsic <scp>SNR</scp> in the Torso of Realistic Body Models
Magnetic Resonance in Medicine· 2025DOI
Yuting Wang; Markus W. May; Marcel Gratz; Mark E. Ladd; Stephan Orzada
Citizen science approach to assessing patient perception of MRI with flexible radiofrequency coils
nature / scientific reports· 2024DOI
Lena Nohava, Raphaela Czerny, Martin Tik, Dagmar Wurzer, Elmar Laistler & Roberta Frass-Kriegl
Hybrid algorithms for <scp>SAR</scp> matrix compression and the impact of post‐processing on <scp>SAR</scp> calculation complexity
Magnetic Resonance in Medicine· 2024DOI
Stephan Orzada; Thomas M. Fiedler; Mark E. Ladd
Minimizing electric fields and increasing peripheral nerve stimulation thresholds using a body gradient array coil
Magnetic Resonance in Medicine· 2024DOI
Reza Babaloo, Ergin Atalar
Deliverables (4)
Data Management Plan
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