Fujifilm Showcases New DR Detectors and AI Initiative in Chicago
|
By Theresa Herman, Regional Director Posted on 26 Nov 2018 |

Image: Fujifilm unveiled two new DR detectors at the RSNA annual meeting in Chicago (Photo courtesy of Fujifilm Medical Systems).
Fujifilm Medical Systems U.S.A, Inc, (Stamford, CT, USA), a provider of diagnostic imaging and medical informatics solutions, unveiled two new digital radiography (DR) detectors – the CALNEO Dual (available only in Japan) and the FDR ES – at the 2018 Radiological Society of North America (RSNA) annual meeting, November 25-30 in Chicago, Ill., USA. 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.
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.
Latest RSNA 2018 News
- New AI-Powered Lung Imaging Solution Launched at RSNA 2018
- Agfa Brings Intelligent Radiography to RSNA 2018
- Carestream Displays Several IT Offerings at Radiology Congress
- Double Black Imaging Announces Expanded Clinical LCD Line at Trade Show
- Lunit Unveils AI-Based Mammography Solution at RSNA 2018
- Guerbet Showcases Ongoing Collaboration with IBM Watson at Radiology Trade Fair
- M*Modal Launches Cloud-Based Version of AI-Powered Reporting Solution
- MDW Unveils First Radiology Blockchain Platform at RSNA 2018
- Teledyne DALSA Displays Xineos Family of CMOS X-ray Detectors
- SuperSonic Imagine Showcases New Ultrasound System at RSNA 2018
- CIVCO Medical Solutions Introduces Next-Generation of Ultrasound Accessories
- Subtle Medical Showcases Al for PET and MRI Scans at RSNA 2018
- Philips Launches New Platform to Enable Development of AI Assets
Channels
Radiography
view channel
Computational X-Ray Technique Enables High-Resolution, Low-Dose Radiography
Reducing radiation in medical X-ray imaging remains a persistent challenge because dose reductions often degrade spatial resolution and diagnostic confidence. This is especially critical in pediatrics,... Read more
AI Tool Predicts Five-Year Breast Cancer Risk from Mammograms
Breast cancer risk assessment during routine screening is difficult because many women who develop the disease have no known genetic mutations or family history. Static risk tools provide limited discrimination... Read moreMRI
view channel
Advanced MRI Reveals Structural Brain Changes Linked to Better Cognitive Health
Objective, noninvasive measures that capture subtle, training-related changes in adult brain structure remain limited in routine clinical practice. Quantifying neuroplasticity with precision is especially... Read more
Cardiac MRI Detects Hidden Heart Dysfunction After Heart Attack
Myocardial infarction often leaves patients with persistent ventricular dysfunction that can progress without obvious signs. Detecting early decline remains difficult because standard measures may miss... Read moreUltrasound
view channel
Simple 2D Ultrasound Tool Accurately Estimates Placental Volume
Stillbirth remains a major cause of perinatal loss, with about 21,000 cases annually in the United States. Although placental abnormalities are linked to adverse pregnancy outcomes, routine monitoring... Read more
Portable 3D Ultrasound System Enables Reproducible Breast Cancer Monitoring
Breast cancer can develop between annual mammograms, and these interval cancers account for 20% to 30% of cases and tend to be more aggressive. The challenge is pronounced in people with dense breast tissue.... Read moreNuclear Medicine
view channel
Radiotherapy Professionals Embrace AI as a Clinical Support Tool
Radiotherapy planning requires precise identification of organs at risk near a tumor, but manual contouring is repetitive and time-consuming, often delaying plan completion and straining specialist capacity.... Read more
Second PSMA PET Identifies Disease in More Than Half of Negative Cases
Biochemical recurrence of prostate cancer after prostatectomy or radiation can be difficult to localize when imaging is negative. Uncertain disease sites may delay salvage therapy and expose patients to... Read moreGeneral/Advanced Imaging
view channel
New PE-RADS Framework Standardizes Pulmonary Embolism Imaging Reports
Pulmonary embolism is a sudden blockage of the lung’s blood vessels that reduces pulmonary blood flow, can strain the right hear,t and may be fatal if untreated. Patients often present with shortness of... Read more
Virtual Staining Technique Creates Histology Images from CT Data
Pulmonary hypertension, a disorder marked by pathological remodeling of the pulmonary vessels, often requires detailed histologic assessment. Yet routine pathology remains anchored in labor‑intensive,... Read more
CT-Derived Biomarker Predicts Outcomes in Gastric Cancer
Gastric cancer, also known as stomach cancer, is the fifth most common malignancy worldwide and often shows heterogeneous outcomes even within the same stage. Prognostic estimates typically rely on tumor-centric... Read more
AI Tool Enhances Response Assessment and Survival Prediction in Pleural Mesothelioma
Pleural mesothelioma, a cancer that grows as a thin, irregular layer along the lung wall, is difficult to measure on imaging. Clinicians rely on diameter-based Response Evaluation Criteria in Solid Tumors... Read moreImaging IT
view channel
Ambient AI Reporting Platform Streamlines Radiology Reporting
Radiology departments face growing imaging volumes and staffing shortages, creating reporting bottlenecks and pressure to maintain turnaround times. Conventional dictation tools document findings after... Read more
Interactive AI Tool Supports Explainable Lung Nodule Assessment
Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read moreIndustry News
view channel
GE HealthCare Showcases AI-Enabled Nuclear Medicine Portfolio at SNMMI 2026
Nuclear medicine is expanding rapidly as health systems adopt theranostics and broaden access to radiopharmaceuticals, increasing demand for scalable operations and consistent diagnostic confidence.... Read more
GE HealthCare Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
At the European Society for Radiotherapy and Oncology (ESTRO) 2026 Congress in Stockholm, GE HealthCare is highlighting Intelligent Radiation Therapy (iRT), MIM Software innovations, and BK Medical surgical... Read more








