Revenues from the magnetic resonance imaging (MRI)-guided radiation therapy systems market exceeded $220 million in 2018, according to a recent study, suggesting increasing prevalence for the integrated technologies. According to the study from Fact.MR, the growth potential — projected at approximately a 20 percent compound annual growth rate (CAGR) through 2028 — can be attributed to burgeoning adoption of innovative technologies in cancer diagnosis and treatment, alongside growing focus on patient-centric care.

BGN Technologies, the technology transfer company of Ben-Gurion University (BGU), introduced a novel method for producing radioisotopes for nuclear medicine and medical imaging technologies such as computed tomography (CT) scan and positron emission tomography-computed tomography (PET-CT).

The Society of Cardiovascular Computed Tomography (SCCT) will present the 2019 Gold Medal Award to Jonathon Leipsic, M.D., FSCCT, and Gilbert Raff, M.D., FSCCT, at the SCCT 14th Annual Scientific Meeting, July 11 – 14 in Baltimore. The SCCT Gold Medal Award recognizes outstanding leaders who have made landmark contributions to the field of cardiovascular computed tomography and to the society.

Client Outlook Inc. announced that Duke University Health System has implemented eUnity for enterprise viewing throughout its comprehensive healthcare network.

Volpara Health Technologies, Volpara Solutions' parent company, has signed a binding agreement to acquire U.S.-based MRS Systems Inc. (MRS).

SpellBound, an Ann Arbor startup specializing in augmented reality (AR) tools for children in hospitals, has officially launched their AR MRI Simulator to market. SpellBound’s MRI Simulator is designed to reduce the high sedation rates for pediatric magnetic resonance imaging (MRI) scans by acclimating children to the experience in a way that is fun and interactive.

SpellBound AR MRI Simulator

The evolution from standalone PACS to extensive Enterprise Imagining Solutions created the need to archive information on a single platform, interoperable with various PACS silos. Explore features and benefits provided by today’s VNAs. Discover key considerations when selecting a VNA solution, ensuring your choice accommodates past, present, and future facility needs.

You can download the White Paper here.

The Society for Imaging Informatics in Medicine (SIIM) and the American College of Radiology (ACR) are collaborating with the Society of Thoracic Radiology (STR) and MD.ai to host a Machine Learning Challenge on Pneumothorax Detection and Localization on Kaggle. The challenge will use augmented annotations on the public chest radiograph dataset from the National Institutes of Health (NIH). The augmented annotations were created by radiologists from SIIM and STR using a commercial web-based tool from MD.ai, and follow the ACR Data Science Institute’s structured artificial intelligence (AI) use case for pneumothorax detection.

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