Over the duration of the QuantSURG project, essential theory and instrumentation has been developed to address the first specific objective of the project, namely “To develop novel theory and methods to perform real-time wide-field quantitative endogenous imaging”. Concretely, essential theory for quantitative optical imaging was developed and published, the new multispectral imaging method was validated and published, and real-time imaging algorithms validated and published. Contributions were presented at international conferences and published in specialized journal in the biomedical optics scientific community [a1-11].
Following this first phase of development of the essential technology components, a prototype imaging system was developed and validated by a team of surgeons during preclinical experiments (Figure A.). The system and the findings of these preclinical experiments were published. Remarkably, the system allowed to visualize areas of the bowel that were unhealthy in pig models (Figure B. color perception as seen with the naked eye, Figure C. oxygenation imaging as seen with the novel imaging method - blue indicates unhealthy, red healthy ). The successful completion of this preclinical phase allowed the team to build a clinically-compatible imaging system and to translate the technology during a first-in-human trial on patients undergoing colorectal surgery. Finally, the project and the technology was transferred to a leading medical device company. Contributions were presented at international conferences and published in specialized journal in the surgical and biomedical optics scientific communities [a12-17].
a- Peer reviewed publications (chronological order):
a1. Angelo JP et al. Real-time endoscopic optical properties imaging. Biomed Opt Exp 2017; 8(11), 5113-26.
a2. Schmidt M et al. Real-time, Wide-field and Quantitative Oxygenation Imaging using Spatio-Temporal Modulation
of Light. J Biomed Opt 2019; 24(7), 07610. *featured in the cover
a3. Angelo JP et al. Structured light in diffuse optical imaging. J Biomed Opt 2018; 24(7), 071602.
a4. Panigrahi S et al. A machine learning approach for rapid and accurate estimation of optical properties using
Spatial Frequency Domain Imaging. J Biomed Opt 2018; 24(7), 071606.
a5. Aguenounon E et al. Single snapshot imaging of optical properties using a single-pixel camera: a simulation
study. J Biomed Opt 2019; 24(7), 07612.
a6. Aguenounon E et al. Single snapshot of optical properties image quality improvement using anisotropic 2D
windows filtering. J Biomed Opt 2019; 24(7), 07611.
a7. Aguenounon E et al. Real-time optical properties and oxygenation imaging using custom parallel processing in
the spatial frequency domain. Biomed Opt Exp 2019; 10(8), 3916-28.
a8. Gioux S et al. Spatial Frequency Domain Imaging in 2019: Principles, Applications and Perspectives. J Biomed
Opt 2019; 24(7), 071613.
a9. Appelgate B et al. OpenSFDI: an open-source guide for constructing a spatial frequency domain imaging system. J Biomed Opt 2020; 25(1), 071613.
a10. Aguenounon E et al. Real-time, wide-field and high-quality single snapshot imaging of optical properties with profile correction using deep learning. Biomed Opt Exp 2020; 11(10), 5701-16.
a11. Smith J et al. Macroscopic fluorescence lifetime topography enhanced via spatial frequency domain imaging. Opt Let 2020; 45(15), 4232-35.
a12. Cinelli L et al. Single Snapshot Imaging of Optical Properties (SSOP) for Perfusion Assessment during Gastric Conduit Creation for Esophagectomy: An Experimental Study on Pigs. Cancers 2021; 13(23), 6079.
a13. Segaud S et al. Trident: A dual oxygenation and fluorescence imaging platform for real-time and quantitative surgical guidance. Frontiers in Photonics 2022; 3, 1032776.
a14. Felli E et al. Hyperspectral Imaging in Major Hepatectomies: Preliminary Results from the Ex-Machyna Trial. Cancers 2022; 14(22), 5591.
a15. Rodriguez-Luna MR et al. Quantification of bowel ischaemia using real-time multispectral Single Snapshot Imaging of Optical Properties (SSOP). Surgical Endoscopy 2022; 37, 2395-2403.
a16. Cinelli L et al. Surgical Models of Liver Regeneration in Pigs: A Practical Review of the Literature for Researchers. Cells 2023; 12(4), 603.
a17. DeLandro M et al. In Vitro Antibody Quantification with Hyperspectral Imaging in a Large Field of View for Clinical Applications. Bioengineering 2023; 10(3), 370.
