Validation of video-rate laparoscopic multispectral imaging systems for quantitative bowel perfusion assessment using a hyperspectral reference in a porcine model
Abstract
Quantitative assessment of bowel perfusion remains challenging during minimally invasive surgery. This study investigated whether video-rate laparoscopic multispectral imaging can provide contrast-agent-free perfusion assessment under intra-abdominal conditions. Ten pigs were examined in vivo. Regions of the small bowel were imaged during baseline perfusion, partial vascular occlusion, and complete ischemia. Matched measurements were acquired using two prototype laparoscopic multispectral imaging systems and the approved TIVITA Mini hyperspectral imaging system as reference. The first system was evaluated in six animals and the second in four. Multispectral imaging-derived perfusion parameters from ten consecutive frames per region of interest were compared with hyperspectral near-infrared perfusion index values using linear regression, Pearson correlation, and leave-one-pig-out cross-validation. Overall, 1329 matched multispectral–hyperspectral measurements were analysed, comprising 772 from the first system and 557 from the second. System-specific correlations between multispectral imaging-derived perfusion parameters and hyperspectral reference values were strong for both systems (r = 0.915 and r = 0.840, both p < 0.001). Leave-one-pig-out validation yielded coefficients of determination of 0.812 and 0.664 and root mean square errors of 0.058 and 0.067 for the first and second systems, respectively. These findings show strong associations between calibrated video-rate laparoscopic multispectral imaging and hyperspectral reference imaging across perfusion states.
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BibTeX
@article{bajestani2026validation,
title = {{Validation of video-rate laparoscopic multispectral imaging systems for quantitative bowel perfusion assessment using a hyperspectral reference in a porcine model}},
author = {Denis Gholami Bajestani and Peggy Stock and Sandra Nickel and Annekatrin Pfahl and Hannes Köhler and Haukur Lindberg Sigmarsson and Johannes Kauffold and Andreas Melzer and Hans-Michael Tautenhahn},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-74642-w},
url = {https://www.nature.com/articles/s41598-026-74642-w},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Validation of video-rate laparoscopic multispectral imaging systems for quantitative bowel perfusion assessment using a hyperspectral reference in a porcine model
AU - Denis Gholami Bajestani
AU - Peggy Stock
AU - Sandra Nickel
AU - Annekatrin Pfahl
AU - Hannes Köhler
AU - Haukur Lindberg Sigmarsson
AU - Johannes Kauffold
AU - Andreas Melzer
AU - Hans-Michael Tautenhahn
PY - 2026
DA - 2026/10/09
JO - Scientific Reports
DO - 10.1038/s41598-026-74642-w
UR - https://www.nature.com/articles/s41598-026-74642-w
AB - Quantitative assessment of bowel perfusion remains challenging during minimally invasive surgery. This study investigated whether video-rate laparoscopic multispectral imaging can provide contrast-agent-free perfusion assessment under intra-abdominal conditions. Ten pigs were examined in vivo. Regions of the small bowel were imaged during baseline perfusion, partial vascular occlusion, and complete ischemia. Matched measurements were acquired using two prototype laparoscopic multispectral imaging systems and the approved TIVITA Mini hyperspectral imaging system as reference. The first system was evaluated in six animals and the second in four. Multispectral imaging-derived perfusion parameters from ten consecutive frames per region of interest were compared with hyperspectral near-infrared perfusion index values using linear regression, Pearson correlation, and leave-one-pig-out cross-validation. Overall, 1329 matched multispectral–hyperspectral measurements were analysed, comprising 772 from the first system and 557 from the second. System-specific correlations between multispectral imaging-derived perfusion parameters and hyperspectral reference values were strong for both systems (r = 0.915 and r = 0.840, both p < 0.001). Leave-one-pig-out validation yielded coefficients of determination of 0.812 and 0.664 and root mean square errors of 0.058 and 0.067 for the first and second systems, respectively. These findings show strong associations between calibrated video-rate laparoscopic multispectral imaging and hyperspectral reference imaging across perfusion states.
SN - 2045-2322
ER -