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Biomedical Imaging Technology-A Study Sections [BMIT-A]

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

Shared Interests and Overlaps

​There are shared interests with Medical Imaging Study Section (MEDI). Applications involving the design, development, implementation, testing, and application of new technologies or methodologies for imaging systems, or for acquisition, processing, or reconstruction of presenting medical images, may be assigned to BMIT-A. Applications involving the evaluation of improvement of imaging technologies for Pre-clinical, Phase-I, or Phase II clinical trials, or for the use of imaging system technology in the evaluation of therapeutic responses, may be assigned to MEDI.


There are shared interests with Enabling Bioanalytical and Imaging Technologies (EBIT).  Applications involving the development of imaging technologies at the large animal and human scale may be assigned to BMIT-A. Applications involving bioanalytical techniques, including sensors, separations, and mass spectrometry at the molecular, cellular, tissue, and small animal levels may be assigned to EBIT.

 
There are shared interests with Radiation Therapeutics and Biology (RTB) for ionizing radiation-based imaging technologies. Applications involving the development of new imaging technologies or image analysis related to the delivery of ionizing radiation, electromagnetic radiation, and heat may be assigned to BMIT-A. Applications involving imaging technologies or image analysis as they relate to the targeting of ionizing or electromagnetic radiation or heat and assessment of response, as well as the development and testing of new radiation therapeutic approaches, may be assigned to RTB.


There are shared interests with Clinical Molecular Imaging and Probe Development (CMIP).  The development of new imaging technologies to detect targeted imaging agents or probes may be assigned to BMIT-A. The development of targeted probes or molecular or optical imaging agents may be assigned to CMIP.


There are shared interests with Clinical Neuroscience and Neurodegeneration (CNN). Applications involving the development of imaging systems or data analysis methods for the detection and/or diagnosis of neurodegenerative and neurocognitive diseases may be assigned to BMIT-A. Applications involving the development of neuroimaging biomarkers to assess the risk, onset, progression, or treatment response in neurodegenerative and neurocognitive diseases may be assigned to CNN.


There are shared interests with Neuroscience and Ophthalmic Imaging Technologies (NOIT) for in vivo imaging of the brain. Applications involving the development of medical imaging system technologies that may be used in in vivo imaging of brain structure and function, such as MRI, DTI, fMRI, or PET, may be assigned to BMIT-A. Applications involving modalities of experimental and therapeutic brain stimulation; the imaging and modeling of blood flow; brain atlas creation; or the utilization of imaging approaches to study brain structure and function may be assigned to NOIT.


There are shared interests with Biodata Management and Analysis Study Section (BDMA) regarding data analysis methods and tools. Applications that develop new data analysis methods and tools for imaging datasets may be assigned to BMIT-A. Applications that focus on the maintenance, refinement, or integration of existing software tools for imaging datasets can be assigned to BDMA.


There are shared interests with Biomedical Computing and Health Informatics Study Section (BCHI) and Biostatistical Methods and Research Design Study Section (BMRD) in software development. Applications which focus on new software and database development as related to image acquisition, processing, reconstruction, or analysis are typically assigned to BMIT-A. Applications which focus on the development, validation, and use of systems integrating data from multiple datasets, including imaging and -omics, for clinical decision support may be assigned to BCHI. Applications which include dissemination of statistical methods developed in other aims as software packages are typically assigned to BMRD.


There are shared interests with BDMA, BCHI, and BMRD in machine-learning based automated image analysis. Applications which develop new imaging systems or image analysis methods to identify specific anatomic regions, structures, organs, or tumors, or to develop radiological-based models of organs or anatomic regions, are typically assigned to SBIB-based study sections such as BMIT-A. Applications which develop image databases are typically assigned to BDMA. Applications which use image analysis systems or radiological-based models to provide clinical decision support are typically assigned to BCHI. Applications which focus on the development of statistical methods for scalable image analysis are typically assigned to BMRD. High dimensional data methods, such as those arising from: genomic technologies, proteomics, metabolomics, transcriptomics, sequencing, and imaging studies; development and applications of methods for data mining; statistical machine learning, Bayesian networks, neural networks and outcome prediction; and novel analyses of existing datasets may also be assigned to BMRD.


There are shared interests with Instrumentation and Systems Development (ISD) in point-of-care diagnostics. Applications which develop new technology for imaging-based point-of-care diagnostics may be assigned to BMIT-A. Applications which develop sensing devices for detection and sensing of single cells; biomarkers; environmental and toxic chemicals; or biomedically relevant compounds and molecules for point-of-care diagnostics may be assigned to ISD.

 
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