Fujifilm Showcases New DR Detectors and AI Initiative in Chicago

The company also presented, REiLI, its global Medical Imaging and Informatics Artificial Intelligence (AI) technology initiative, as well as hosted an educational symposium focusing on the impact of AI on enterprise imaging now and into the future.

The CALNEO Dual is a 17-inch x 17-inch standard cassette sized detector featuring two sensitivity capture layers, coupled with Fujifilm intelligent energy subtraction processing. A single exposure produces three images; traditional, soft tissue only and bone only views. These distinctly different images can be utilized for visualizing or tracking of lung cancer nodules. The innovative dual capture layer design yields higher definition general X-ray images, enhancing separation accuracy of bone detail and soft tissue.

Fujifilm’s new FDR ES detector is a next-generation X-ray room retrofit solution designed with the essential conveniences of Fujifilm DR image acquisition innovations. The light, portable detectors are packed with all the benefits of Fujifilm's high sensitivity detector technologies and the latest refinements in image processing. Optimized for existing X-ray room equipment, these detectors feature simplified integration for a more affordable DR retrofit without sacrificing dose, workflow and image quality performance. In addition to these latest and most advanced detectors, Fujifilm also showcased its comprehensive line of DR detectors and mobile DR solutions to suit the needs of large as well as small imaging facilities. At RSNA 2018, the company offered a glimpse into the future of DR detector technologies with an under the cover, inside view prototype display.

"Once again, Fujifilm is pushing the limits, expanding the capabilities of digital radiography," said Johann Fernando, Ph.D., CEO of FUJIFILM Medical Systems U.S.A, Inc. "Our latest advances with the CALNEO Dual represent a transformation in image capture technologies that will allow clinicians to visualize more detail than before and from a single exposure."

At RSNA 2018, Fujifilm also featured dedicated workstations demonstrating AI platform use cases within Synapse 5 PACS driven by REiLI. Under the REiLI brand, Fujifilm is developing AI technologies that strongly support diagnostic imaging workflow, leveraging the combination of deep learning in its AI technology with the company’s image processing heritage.

Applications currently in development include Region Recognition, an AI technology to accurately recognize and consistently extract organ regions, regardless of deviations in shape, presence or absence of disease, and imaging conditions; Computer Aided Detection, an AI technology to reduce the time of image interpretation and support radiologists’ clinical decision making; Workflow Support, using AI technology to realize optimal study prioritization, alert communications of AI findings, and report population automation.

“Our goal is to provide an open platform which manages the workflow and delivery of AI technologies through Synapse clinical applications enabled for AI results and use cases, and realize a new and more powerful diagnostic workflow that advances the field of radiology,” said Bill Lacy, Vice President of Medical Informatics at FUJIFILM Medical Systems, U.S.A, Inc.