CORDIS Project
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This project develops advanced spectral imaging techniques to non-invasively assess tissue properties in real time without radiation exposure. By using machine learning to enhance simulated data realism, it aims to improve the accuracy of tissue parameter quantification, with potential applications in cancer diagnosis…
Had we the capacity to image the molecular tissue composition in real time, without exposing the patient or clinical staff to radiation, then this would revolutionize healthcare.
Spectral imaging techniques, such as multispectral diffuse reflectance imaging and photoacoustics, have the potential to recover important tissue properties including oxygenation, temperature and the concentration of water.
However, decades of research invested in solving the inverse problem of reconstructing clinically…
DEUTSCHES KREBSFORSCHUNGSZENTRUM HEIDELBERG
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THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
United Kingdom, Cambridge
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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