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Biomedical Imaging Technology Study Sections [BMIT A & BMIT B] (Revised)

The Biomedical Imaging Technology Study Sections both review applications involving basic, applied, and pre-clinical aspects of the design and development of medical imaging system technologies, their components, software, and mathematical methods for studies at the cellular, organ, small or large animal, and human scale. Emphasis is on technology development but extends to the science of image formation, analysis, evaluation and validation, including image perception, and integration of imaging technologies. In general, applications which focus on the physics and mathematics of medical imaging devices and systems for hardware and software development as well as on the application of methods of applied mathematics using iterative, non-iterative, deterministic and probabilistic approaches, and analysis of complex dynamical systems would be assigned to BMIT A. Those addressing the application of biomedical imaging system technologies, their components, software, and mathematical methods for solving important problems in biology or medicine, would be assigned to BMIT B.

Rosters

Topics

  • Component technologies used in the design, development, implementation, testing and application of imaging systems, including, transducers, magnets, coils, and other devices to acquire medical image data from various modalities.
  • New methods and theories for processing and presenting medical images: display, computational resources for reconstruction, registration, segmentation, visualization, and analysis of multi dimensional data sets from various modalities.
  • Development of image-based methods and strategies (both hardware and software components) to characterize tissue, including computer-aided diagnosis and image-based biomarkers or for the support of image-guided interventions, including robotics, surgery, drug delivery, and minimally invasive therapies.
  • Methodology for validating medical imaging systems including medical-image-observer performance: vision modeling, metrics, calibration, standards, statistical methods, and simulation of an ideal observer using principles of psychophysical experimentation.
  • Imaging studies at the cellular, organ, small or large animal and human scale, where the emphasis is on the science of image formation, analysis, evaluation and validation, including image perception, and integration of imaging technologies.

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