News | November 09, 2011

University of Iowa Selects GE 7T MRI to collaborate on Research into Brain Disorders

November 9, 2011—GE Healthcare and University of Iowa Health Care announced they will collaborate on ultra-high field magnetic resonance imaging (MRI) to study brain disorders.

The purchase of the GE equipment for research use will be funded with a National Institutes of Health (NIH) high-end instrumentation grant awarded to Vincent Magnotta, Ph.D., in the Department of Radiology at University of Iowa Hospitals and Clinics in Iowa City, Iowa.

The GE 7.0T MR imaging scanner will provide ultra-high field whole body scanning capabilities for MRI research. It will be housed in the university’s new Pappajohn Biomedical Discovery Institute, currently under construction. It is being acquired by the University of Iowa to support the research efforts of 33 funded National Institutes of Health investigators from five colleges (medicine, engineering, public health, liberal arts and sciences, and business) with more than 40 NIH grants. This group of researchers from University of Iowa has a wide range of interests including functional brain mapping, high-resolution anatomical imaging of the brain, spectroscopy of the brain, evaluation of tumor response to treatment and cardiovascular imaging.

“We are honored and delighted to work with the University of Iowa to provide ultra-high field strength MR imaging capabilities to help study patients with a variety of brain disorders,” said Jacques Coumans, Ph.D., general manager of GE Healthcare’s premium MRI business.  “Our 7.0T MRI research system has the abilities to provide increased image resolution and sensitivity to help accelerate translational research. This collaboration is an excellent representation of how academic-industrial partnerships can help define new directions with the goal of facilitating more immediate health improvements and better outcomes.”

Three medical device vendors participated in a competitive proposal process for the research scanner purchase.

For more information: www.gehealthcare.com

Related Content

Artificial Intelligence Performs As Well As Experienced Radiologists in Detecting Prostate Cancer
News | Artificial Intelligence | April 18, 2019
University of California Los Angeles (UCLA) researchers have developed a new artificial intelligence (AI) system to...
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient.
Videos | RSNA | April 03, 2019
ITN Editor Dave Fornell takes a tour of some of the most interesting new medical imaging technologies displa
NIH Study of Brain Energy Patterns Provides New Insights into Alcohol Effects

NIH scientists present a new method for combining measures of brain activity (left) and glucose consumption (right) to study regional specialization and to better understand the effects of alcohol on the human brain. Image courtesy of Ehsan Shokri-Kojori, Ph.D., of NIAAA.

News | Neuro Imaging | March 22, 2019
March 22, 2019 — Assessing the patterns of energy use and neuronal activity simultaneously in the human brain improve
Book Chapter Reports on Fonar Upright MRI for Hydrocephalus Imaging

Rotary misalignment of atlas (C1) and axis (C2). Image courtesy of Scott Rosa, DC, BCAO.

News | Magnetic Resonance Imaging (MRI) | March 20, 2019
Fonar Corp. reported publication of a chapter where the physician-author-researchers utilized the Fonar Upright Multi-...
Non-Contrast MRI Effective in Monitoring MS Patients
News | Neuro Imaging | March 18, 2019
Brain magnetic resonance imaging (MRI) without contrast agent is just as effective as the contrast-enhanced approach...
New MRI Sensor Can Image Activity Deep Within the Brain
News | Magnetic Resonance Imaging (MRI) | March 15, 2019
Calcium is a critical signaling molecule for most cells, and it is especially important in neurons. Imaging calcium in...