Evidence map›Paper›PMID 42303896›Full record

ArticleInternational journal of computer assisted radiology and surgery2026

Robust quantification of ICG fluorescence perfusion in neonatal bowel surgery via deep point tracking.

Zhehua Mao, Antonio Composto, Jonathan Neville, Cecilia Cirelli, Danail Stoyanov, Stefano Giuliani, Sophia Bano

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Article in International journal of computer assisted radiology and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zhehua MaoDepartment of Computer Science, University College London, London, UK. z.mao@ucl.ac.uk.ORCID http://orcid.org/0000-0001-9225-6318
Antonio CompostoUCL Hawkes Institute, University College London, London, UK.
Jonathan NevilleUCL Hawkes Institute, University College London, London, UK.
Cecilia CirelliGreat Ormond Street Hospital for Children NHS Trust, London, UK.
Danail StoyanovDepartment of Computer Science, University College London, London, UK.
Stefano GiulianiUCL Hawkes Institute, University College London, London, UK.
Sophia BanoDepartment of Computer Science, University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIndocyanine green (ICG) fluorescence imaging is increasingly used for intraoperative bowel perfusion assessment in neonatal surgery. However, existing commercial solutions are limited to track few manually selected regions of interest (ROIs) and struggle with tissue motion and occlusion. We present a novel ICG quantification framework leveraging deep learning-based point tracking for robust perfusion analysis.

methodsOur system employs CoTracker3, a state-of-the-art transformer-based point tracking model, to enable tracking of both user-specified ROIs and dense sampling across the entire visible tissue region. The framework computes comprehensive perfusion metrics including

resultsPreliminary validation on neonatal bowel perfusion videos demonstrates robust tracking performance under tissue motion and partial occlusion. The system successfully extracts perfusion metrics comparable to the commercial PerfusionTech system while enabling dense spatial perfusion mapping not available in existing solutions.

conclusionThe proposed CoTracker3-based framework provides a feasible approach for quantitative ICG fluorescence analysis with improved tracking robustness and comprehensive spatial perfusion visualization, warranting further clinical validation studies.

Indexed as

Digestive System Surgical ProceduresIndocyanine GreenIntestinesOptical ImagingColoring AgentsHumansInfant, NewbornColoring AgentsIndocyanine GreenBowel perfusionICG fluorescence imagingPoint trackingQuantitative analysisSurgical guidance

Identifiers

PMID42303896
PMCPMC13553647

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.