Imaging to Sensing
A smooth transition from optoacoustic imaging to sensing technologies for clinical utility – including disease prediction, detection, and monitoring – requires a deep understanding of data production and analysis methods and their bridging across modalities.
A smooth transition from optoacoustic imaging to sensing technologies for clinical utility – including disease prediction, detection, and monitoring – requires a deep understanding of data production and analysis methods and their bridging across modalities.
About Our Research
The Imaging to Sensing (I2S) research group directs its efforts toward developing a deeper understanding and enhancing established optoacoustic imaging techniques and extending this to the optoacoustic sensing modality. We cross-examine optoacoustic images by investigating the (1) technical components of devices that play a role in data output, (2) role of biological tissues in optical and ultrasound signal scattering, and (3) reproducibility of image and data production across users, scanning locations, and biological conditions. The primary aim of the research is to generate reliable methods for relating image-derived pathophysiological tissue features to biological conditions, such as disease status, and translating this to data-driven sensing approaches and knowledge-based AI being developed by cooperating research groups.