Multimodal Approaches for Real-time Mesoscopic Tissue Differentiation

Multi-modality imaging techniques that integrate sensor data from different domains have shown immense potential in the field of clinical diagnostics. This paper aims to provide a comprehensive approach to delineating surface topology and tissue boundaries resolved at the mesoscopic scale with elect...

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Bibliographic Details
Published in:	2023 IEEE BioSensors Conference (BioSensors) pp. 1 - 4
Main Authors:	Wong, Steven S., Radford, Jack, Binner, Philip, Gradauskas, Vytautas, Constandinou, Timothy G., Ekanayake, Jinendra, Faccio, Daniele
Format:	Conference Proceeding
Language:	English
Published:	IEEE 30-07-2023
Subjects:	Bioimpedance Biosensors Correlation Diffuse correlation spectroscopy Haptics Optical imaging Real-time systems Sensor fusion Surface topography Time-domain near-infrared spectroscopy Tissue identification Topology
Online Access:	Get full text
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Summary:	Multi-modality imaging techniques that integrate sensor data from different domains have shown immense potential in the field of clinical diagnostics. This paper aims to provide a comprehensive approach to delineating surface topology and tissue boundaries resolved at the mesoscopic scale with electrical (bioimpedance), mechanical (force-related haptics) and optical technologies (diffuse correlation spectroscopy and time-domain near-infrared spectroscopy). This preliminary work lays the foundations for comparing and combining next-generation approaches for real-time tissue identification.
DOI:	10.1109/BioSensors58001.2023.10281133