News | Advanced Visualization | October 28, 2016

SyntheticMR and Siemens Healthineers Sign Cooperation Agreement for SyMRI Software Package

SyntheticMR’s advanced post-processing software will be compatible with most Siemens MRI scanners beginning in 2017

Siemens Healthineers, SyntheticMR AB, SyMRI post-processing software, cooperation agreement, MRI

October 28, 2016 — SyntheticMR AB and Siemens Healthineers have entered into a cooperation agreement, making the SyMRI software packages from SyntheticMR compatible with magnetic resonance imaging (MRI) scanners from Siemens Healthineers and available to their customers.

The SyMRI post-processing packages will be offered as an option, and will be compatible with most of the MRI systems available from Siemens Healthineers starting 2017.

By this cooperation both parties will provide a combined offering which enhances the benefit of MRI.

SyMRI delivers multiple, adjustable contrast images and quantitative data from a single scan. It is available in three packages: SyMRI Image provides fast MRI workflows, allowing high patient throughput; SyMRI Neuro enables automatic segmentation of brain tissue, providing objective decision support; and SyMRI Research Edition includes exportable SyMaps, quantitative T1, T2 and PD maps of the brain, allowing investigation to be taken even further.

For more information: www.healthcare.siemens.com

Related Content

Graphic courtesy of Pixabay

Graphic courtesy of Pixabay

Feature | Artificial Intelligence | April 22, 2019 | By Greg Freiherr
...
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.
Technological Advancements Expected to Drive Virtual Reality Growth in Healthcare
News | Advanced Visualization | April 04, 2019
Increasing demand for innovative diagnostic techniques, neurological disorders and increasing disease awareness are...
Videos | RSNA | April 03, 2019
ITN Editor Dave Fornell takes a tour of some of the most interesting new medical imaging technologies displa
Medivis Unveils AnatomyX Augmented Reality Education Platform
Technology | Advanced Visualization | April 02, 2019
Medical imaging and visualization company Medivis announced the launch of AnatomyX, its augmented reality (AR) platform...
Sponsored Content | Videos | Advanced Visualization | April 01, 2019
GE Healthcare goes beyond core equipment maintenance to help clients solve some of their most important asset and cli
Novarad Names New President
News | Enterprise Imaging | March 29, 2019
Medical imaging software company Novarad announced that it has appointed Paul Jensen as company president.