Feature | August 05, 2014

GE Healthcare’s Integrated PET/MR System Pending FDA Review

August 5, 2014 — GE Healthcare announced its first integrated, simultaneous, time-of-flight (TOF) capable, whole-body Signa PET/MR (positron emission tomography/magnetic resonance) is 510(k) pending at the U.S. Food and Drug Administration (FDA).

Powered by simultaneous image acquisition from GE’s latest 3.0T MR and PET technologies, the Signa PET/MR helps clinicians achieve improved scan efficiency that may lead to more effective treatment paths for clinicians to offer their patients, particularly for oncology, neurology and cardiology.

MR is ideal for imaging soft tissue as well as functional and morphological details, while PET enables clinicians to visualize cellular activity and metabolism. When these two tools are combined, clinicians may be able to see early cellular changes that can be accurately mapped onto MR images. With this knowledge, clinicians may be able to shorten the time between diagnosis and treatment, in addition to offering the convenience of simultaneous PET and MR scans for patients. Research systems are installed at Stanford University, University of California San Francisco and University of Zurich.

“We are excited about Signa PET/MR because of its clinical and research potential,” said Andrei H. Iagaru, M.D., associate professor of radiology and co-chief of the division of nuclear medicine and molecular imaging at Stanford University Medical Center. “We have been using the system for research, and we are able to explore novel things in areas like neurology and oncology, as well as in pediatrics in the future. Additionally, it’s more convenient for the patient due to simultaneous scanning. We can also initiate innovative, complex research; simultaneity allows us to do functional neuro imaging, cardiac imaging and musculoskeletal imaging that we haven’t been able to do before. TOF offers improved image quality in PET/MR and with the increased detector sensitivity, it may lead to future improvements in dose reduction.”

The Signa PET/MR features GE’s new, exclusive MR-compatible silicon photomultiplier detector (SiPM) technology. This new digital detector is characterized by its enhanced sensitivity; it is up to three times more sensitive than conventional PET technology. It also features fast coincidence timing resolution enabling TOF reconstruction. With TOF reconstruction, the arrival times of each coincident pair of photons are more precisely detected, and the time difference between them is used to localize the PET signal accurately. TOF leads to improved PET image quality with higher structural detail and improved signal-to-noise ratio. The Siga PET/MR is designed to be fully upgradable from a Discovery MR750w 3.0T.

“We have received extremely positive feedback from our installations of the research PET/MR systems,” said Richard Hausmann, president and CEO of GE Healthcare MR. “Our research partners are very excited by the performance of the system and the potential of this new technology. We are proud to bring the first TOF-capable, simultaneous PET/MR system, pending FDA clearance, to market.”

The system is not available for sale in the United States and has not yet received CE mark. It is not available for sale in all regions.

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
Improving Molecular Imaging Using a Deep Learning Approach
News | Nuclear Imaging | March 21, 2019
Generating comprehensive molecular images of organs and tumors in living organisms can be performed at ultra-fast speed...
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-...