Emerging Imaging Technologies and Applications – EITA
The Emerging Imaging Technologies and Applications [EITA] study section reviews proposals seeking to optimize and refine newly developed imaging technologies or methods for specific uses, e.g. to target specific tissues, pathologies or biological processes.
EITA reviews proposals to create protocols and methods for applying or validating new and emerging technologies intended for use in living animals and/or humans. The envisioned use of the technology may be clinical but may also be basic biological research, without any evidence of translational application.
Review Dates
Topics
- Studies emphasizing optimization of newly developed methodologies
- Efforts to advance image display, post processing algorithms and methods
- Disease-based optimization of emerging technologies
- Investigation of new imaging methods using human data sets
- Translational applications advancing methods from animal models to human
- Artificial intelligence and machine learning approaches to quantifying and extracting information from images, feature detection, classification problems, and computer-aided diagnosis
- Methodologies for signal and image processing toward enhancing image perception, visualization, reconstruction, and quantitation
- Task performance assessment
Shared Interests and Overlaps
EImaging Technology Development [ITD] reviews closely related developmental imaging proposals. The distinction is in the stage of development; when the emphasis is on the basic capabilities of an imaging system, review is generally done in ITD. When the emphasis is on optimization of a method for a particular clinical use, target pathology, or research question, review is generally done in EITA. Machine learning and artificial intelligence approaches to image analysis are reviewed by EITA; development of new computational models using standard algorithms is reviewed in EITA whereas creation of new computational approaches to imaging data is reviewed in ITD.
Clinical Translational Imaging Science [CTIS] also reviews developmental imaging proposals. EITA reviews applications where the emphasis is on engineering or computational approaches to optimizing emerging imaging systems for a particular use, often using animal models. When the work has advanced to the point where testing in humans with clinical outcomes is proposed, it is typically reviewed in CTIS.
There are shared interests in refining protocols and optimize imaging systems for specific biological, physiological, and disease targets with Imaging Technology for Neuroscience (ITN). Applications that emphasize development at a level where neuroscience is less central are reviewed in EITA. Applications that emphasize the characteristics of the nervous system that are critical to the proposed work are reviewed in ITN.
Imaging Guided Interventions and Surgery [IGIS] also reviews applications proposing to develop or optimize imaging systems for specific biological, physiological, and disease targets. When the aim of technical development is image-based guidance of a therapeutic intervention, and the proposal includes evaluation of that intervention (even in a preclinical context), the work is likely to be reviewed in IGIS.
EITA and Clinical Data Management and Analysis (CDMA) have shared interests in the use of artificial intelligence and machine learning approaches with imaging technologies. Applications that emphasize the newly developed imaging analysis/methods and tools for imaging processing, feature detection, and classification in imaging datasets are reviewed in EITA. Applications that emphasize the development, validation, and use of computing systems to integrate data from multiple datasets, including imaging, for clinical decision making are reviewed in CDMA.
Biodata Management and Analysis[BDMA] There are shared interests with EITA with regard to image analysis. Applications that focus on the maintenance, refinement, or integration of existing software tools for imaging datasets will be reviewed in BDMA. Applications that develop new data analysis methods and tools for imaging post processing and display, feature detection, and classification will be reviewed in EITA.
