GE 3T scanner anchors UC imaging R&D center
The University of Cincinnati opened the Imaging Research & Development Center with UC Health, Cincinnati Children’s, GE HealthCare, and JobsOhio.
The University of Cincinnati has opened its Imaging Research & Development Center on UC’s medical campus, following a May 27 ribbon-cutting with UC, UC Health, Cincinnati Children’s, GE HealthCare, and JobsOhio. The facility is intended to accelerate MRI research through a collaboration between academic medicine and industry.
The center is equipped with a GE HealthCare SIGNA Premier 3T wide-bore MRI scanner. JobsOhio described the site as one of a small number of centers worldwide designed for direct collaboration between academic researchers, clinicians, and GE HealthCare scientists.
Research at the center will focus on MRI hardware, software, and imaging techniques. Planned work includes improving diagnostic accuracy, patient comfort, workflow efficiency, and personalized-care applications.
AI-enabled workflow projects are also part of the center’s scope. UC said these efforts may help reduce scan times and improve access for patients who have difficulty remaining still or holding their breath during MRI exams.
Clinical research activity will include pilot projects and larger national and international trials. UC said the facility will support work intended to identify imaging biomarkers for early disease detection and targeted treatment.
“What is opening is more than a building or a scanner,” said Achala Vagal, MD, chair and professor in UC’s Department of Radiology and a UC Health neuroradiologist. She said the center reflects a commitment to answering difficult medical questions through shared tools, people, and partnerships.
The collaboration was first announced in 2024 as a proposed MRI Research and Development Center of Excellence on UC’s medical campus. The original partnership included GE HealthCare, UC, UC Health, JobsOhio, REDI Cincinnati, and Cincinnati Children’s.
Companies:University of Cincinnati, UC Health, GE HealthCare
About the author
RadiologySignal.com writersEditorial Team
Radiology Signal Staff covers developments across medical imaging, radiology AI, imaging informatics, clinical research, and radiology business. The team monitors primary sources, peer-reviewed studies, company announcements, society updates, and healthcare industry news to deliver concise reporting for imaging professionals.
More from this section

MIM KineticID awaits FDA review for dynamic PET
GE HealthCare said the kinetic-modeling software is designed for 4D visualization, Patlak analysis, curve fitting, and tracer-behavior assessment across PET systems.

Response modeling enters AstraZeneca PSMA research
Nucs AI will adapt and validate image-based AI models for metastatic castration-resistant prostate cancer research involving PSMA-targeted radioconjugates.

NewVue folds reporting into Radiologist Cockpit
The update puts clinical context, EHR data retrieval, generative dictation, and critical-result routing inside one interpretation workspace.

Hermia dosimetry update enters Canadian market
Health Canada approval covers Hermia SIRT and Hermia Lung Lobe Quantification, extending clinical use of the molecular imaging platform in Canada.

Disney themes enter Philips pediatric MRI rooms
Philips said Disney content is being incorporated into Ambient Experience for MRI across 87 countries, with study data showing lower stress and fewer scan pauses in younger children.

SubtleHD-PET clearance targets low-count PET scans
Subtle Medical said the software can enhance PET images from accelerated acquisitions and supports PET/CT and PET/MR systems across FDA-approved radiotracers.

AI-savvy trainees show mixed signals on radiology careers
A Canadian survey found that trainees with stronger AI knowledge were more likely to consider radiology, but also more likely to report discouragement tied to AI uncertainty.

UTA grant work sharpens deep-tissue vascular imaging
NIH-funded research led by Baohong Yuan is developing super-resolution tomographic imaging for clearer visualization of biological structures several centimeters below the skin.

SimonMed highlights role in large global X-ray AI study
The study analyzed 258,373 X-rays from 100 medical centers across 26 countries and evaluated the Rayvolve AI Suite across trauma, chest, measurement, and bone age use cases.

Former RadNet CTO joins Neurophet as scientific advisor
The neuroradiologist and former RadNet CTO will advise the neuroimaging AI company as it seeks to strengthen clinical validation and U.S. market expansion.

CMR-CLIP AI model interprets cardiac MRI scans with high accuracy
The model was trained on more than 13,000 cardiac MRI studies and linked moving heart images with clinical radiology reports, according to the research team.

Flywheel-AWS link creates governed imaging layer for trials
The integration combines AWS HealthImaging’s cloud-based DICOM storage with Flywheel’s imaging data orchestration tools for clinical trials, research, and AI development.