Print Email Facebook Twitter Imaging PPG for In Vivo Human Tissue Perfusion Assessment during Surgery Title Imaging PPG for In Vivo Human Tissue Perfusion Assessment during Surgery Author Lai, Marco (Philips Research; Eindhoven University of Technology) van der Stel, Stefan D. (University of Twente; Netherlands Cancer Institute) Groen, Harald C. (Netherlands Cancer Institute) van Gastel, Mark (Eindhoven University of Technology; Philips Research) Kuhlmann, Koert F.D. (Netherlands Cancer Institute) Ruers, Theo J.M. (University of Twente; Netherlands Cancer Institute) Hendriks, B.H.W. (TU Delft Medical Instruments & Bio-Inspired Technology; Philips Research) Date 2022 Abstract Surgical excision is the golden standard for treatment of intestinal tumors. In this surgical procedure, inadequate perfusion of the anastomosis can lead to postoperative complications, such as anastomotic leakages. Imaging photoplethysmography (iPPG) can potentially provide objective and real-time feedback of the perfusion status of tissues. This feasibility study aims to evaluate an iPPG acquisition system during intestinal surgeries to detect the perfusion levels of the microvasculature tissue bed in different perfusion conditions. This feasibility study assesses three patients that underwent resection of a portion of the small intestine. Data was acquired from fully perfused, non-perfused and anastomosis parts of the intestine during different phases of the surgical procedure. Strategies for limiting motion and noise during acquisition were implemented. iPPG perfusion maps were successfully extracted from the intestine microvasculature, demonstrating that iPPG can be successfully used for detecting perturbations and perfusion changes in intestinal tissues during surgery. This study provides proof of concept for iPPG to detect changes in organ perfusion levels. Subject imaging photoplethysmographyintestinal surgeryintraoperative perfusion assessmentiPPGoptical technology To reference this document use: http://resolver.tudelft.nl/uuid:d2ef7b5e-8ca8-4693-ba60-c114e8da832a DOI https://doi.org/10.3390/jimaging8040094 ISSN 2313-433X Source Journal of Imaging, 8 (4) Part of collection Institutional Repository Document type journal article Rights © 2022 Marco Lai, Stefan D. van der Stel, Harald C. Groen, Mark van Gastel, Koert F.D. Kuhlmann, Theo J.M. Ruers, B.H.W. Hendriks Files PDF jimaging_08_00094_v2.pdf 20.9 MB Close viewer /islandora/object/uuid:d2ef7b5e-8ca8-4693-ba60-c114e8da832a/datastream/OBJ/view