Image Processing, Visual Perception and Display

Share:

EmailFacebookLinkedInXWhatsAppShare
This program supports the design and development of algorithms for post-acquisition image processing and analysis, the development of theoretical models and analysis tools to evaluate and improve the perception of medical images, and the development of visualization tools for improved detection.

Emphasis

The emphasis is on using image data to achieve better health outcomes and smarter health care. Examples of technology development areas in this program include but are not limited to models, algorithms, software, methodologies, and other tools that will: facilitate medical imaging research;  support clinical detection, diagnosis and therapy; and improve patient healthcare. 

Program priorities and areas of interest:

  • Image segmentation, image registration, atlas generation, image fusion, morphometry measurement, and the determination of function and structure from medical images
  • Diagnostic-performance evaluation, computer-aided diagnosis, statistical models for evaluation of observer performance, and assessment of observer variability
  • Quantitative imaging and image-based biomarkers
  • Image-driven computer-aided diagnosis and decision support systems
  • Virtual reality technologies
  • Dose estimation and reduction software

Additional support

This program also supports:

  • Early-stage validation of tools for image processing, visual perception and display
  • Tools to assess image quality and observer performance
  • Tools and software that enable large-scale, longitudinal and/or multi-site imaging studies and clinical trials
  • Medical imaging mobile apps for early detection

    Related News

    June 12, 2024

    To date, nine medical device developers participating in the RADx® Tech Independent Test Assessment Program have received emergency use authorization for at-home and point-of care test products that simultaneously detect COVID-19 and flu A/B.

    June 11, 2024

    Scientists at the University of North Carolina at Chapel Hill have created innovative soft robots equipped with electronic skins and artificial muscles, allowing them to sense their surroundings and adapt their movements in real-time. These features make soft sensory robots highly adaptable and useful for enhancing medical diagnostics and treatments.  Source: UNC Chapel Hill 

    November 16, 2023

    NIH Blueprint MedTech program has issued nine awards in its first competition cycle. The program seeks to accelerate transformative medical devices to treat disorders of the nervous system.

    September 21, 2023

    NIH will advance the development of home-based and point-of-care health technologies with awards to six technology research and development centers around the country. The centers comprise the Point of Care Technology Research Network (POCTRN) and will parlay the momentum of the original network established in 2007 by the NIBIB.

    July 24, 2023

    New recommendations from the NIH Rapid Acceleration of Diagnostics (RADx®) Tech Program provide a blueprint for the design and manufacture of more accessible diagnostic tests.