Optical techniques offer enormous potential to expand clinical and preclinical multimodal investigations. Their ability to precisely and noninvasively obtain structural, functional, and molecular information at different spatial and temporal scales makes them highly attractive to the biomedical community. There is a critical need for new instrumental approaches and computational techniques, especially model-based and machine learning/deep learning- based image processing techniques and reconstructions, to provide rapid, accurate, and cost-effective means for acquisition, quantification, and characterization of multimodal data.

Multimodality approach can be understood as (a) the combination of multiple optical techniques in an instrument, and/or (b) fusion of an optical technique with other well-established non-optical modalities such as CT, MRI, US, or PET. These instrumental and computational advancements will enable faster acceptance of novel imaging modalities into cutting-edge clinical and/or pre-clinical systems. The applications are diverse and range from imaging at the cellular level to the whole body while incorporating molecular, functional and anatomical information.

The conference objectives are to provide a forum:

to review and share recent developments in novel multimodal imaging techniques
to report development of novel computational methods
to bring together the optical imaging and image analysis communities.

Topics include, but are not limited to:

multimodal imaging integrating structural, molecular and functional information
multimodal microscopic imaging
2D, 3D, 4D tomographic and / or multi-spectral imaging (from UV-VIS to SWIR)
imaging analysis and/or image processing techniques applied to optical imaging (e.g. visualization, segmentation, registration)
machine-learning and deep-learning based image formation and data analysis
artificial Intelligence and Machine Learning for image reconstruction/fusion
multimodal imaging instrumentation and system design
detection and diagnostic analysis techniques which may provide better quantitative and/or diagnostic insight into clinical and pre-clinical imaging (e.g. methods for quantitative measurements, computer-assisted diagnosis)
imaging analysis and/or image processing techniques used to combine optical imaging with other imaging modalities (e.g. MR, x-ray, PET)
image analysis, computational methods and reconstruction approaches which may help bring optical imaging into the clinic (visual rendering of complex data set, novel algorithms for assisted optical reconstruction)
clinical evaluation of these new technologies (physiological and functional interpretation of image data, visual perception and observer performances, validation of quantitative assessment of optical signatures in-vivo).

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In progress – view active session

Conference BO304