Evidence map›Paper›PMID 42043649›Full record

ArticleInternational journal of computer assisted radiology and surgery2026

HyKey: hyperspectral keypoint detection and matching in minimally invasive surgery.

Alexander Saikia, Chiara Di Vece, Zhehua Mao, Sierra Bonilla, Chloe He, Joao Ramalhinho, Tobias Czempiel, Sophia Bano, Danail Stoyanov

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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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Alexander SaikiaDepartment of Medical Physics and Biomedical Engineering, UCL Hawkes Institute, University College London, London, WC1E 6BT, UK. alexander.saikia.21@ucl.ac.uk.ORCID http://orcid.org/0009-0006-2754-3621
Chiara Di VeceDepartment of Medical Physics and Biomedical Engineering, UCL Hawkes Institute, University College London, London, WC1E 6BT, UK.
Zhehua MaoDepartment of Medical Physics and Biomedical Engineering, UCL Hawkes Institute, University College London, London, WC1E 6BT, UK.
Sierra BonillaDepartment of Medical Physics and Biomedical Engineering, UCL Hawkes Institute, University College London, London, WC1E 6BT, UK.
Chloe HeDepartment of Medical Physics and Biomedical Engineering, UCL Hawkes Institute, University College London, London, WC1E 6BT, UK.
Joao RamalhinhoDepartment of Medical Physics and Biomedical Engineering, UCL Hawkes Institute, University College London, London, WC1E 6BT, UK.
Tobias CzempielDepartment of Medical Physics and Biomedical Engineering, UCL Hawkes Institute, University College London, London, WC1E 6BT, UK.
Sophia BanoDepartment of Medical Physics and Biomedical Engineering, UCL Hawkes Institute, University College London, London, WC1E 6BT, UK.
Danail StoyanovDepartment of Medical Physics and Biomedical Engineering, UCL Hawkes Institute, University College London, London, WC1E 6BT, UK.

Funding

EPSRC Centre for Doctoral Training in Medical Imaging EP/S021930/1UK Research and Innovation UKRI145Wellcome 203145/Z/16/ZWellcome Trust
6 · The paper itself

Abstract

purpose3D reconstruction in minimally invasive surgery (MIS) enables enhanced surgical guidance through improved visualisation, tool tracking, and augmented reality. However, traditional RGB-based keypoint detection and matching pipelines struggle with surgical challenges, such as poor texture and complex illumination. We investigate whether using snapshot hyperspectral imaging (HSI) can provide improved results on keypoint detection and matching surgical scenes.

methodsWe developed HyKey, a hyperspectral keypoint detection and description model made up of a hybrid 3D-2D convolutional neural network that jointly extracts spatial-spectral features from HSI. The model was trained using synthetic homographic augmentation and epipolar geometry constraints on a robotically acquired dual-camera RGB-HSI laparoscopic dataset of ex vivo organs with calibrated camera poses. We benchmarked performance against established RGB-based methods, including SuperPoint and ALIKE.

resultsOur HSI-based model outperformed RGB baselines on registered RGB frames, achieving 96.62% mean matching accuracy and 67.18% mean average accuracy at 10

conclusionIntegrating spectral information from an HSI cube offers a promising approach for robust monocular 3D reconstruction in MIS, addressing limitations of texture-poor surgical environments through enhanced spectral-spatial feature discrimination. Our model and dataset are available at https://github.com/alexsaikia/HyKey-Hyperspectral-Keypoint-Detection.

Indexed as

Hyperspectral ImagingImaging, Three-DimensionalLaparoscopyMinimally Invasive Surgical ProceduresSurgery, Computer-AssistedConvolutional Neural NetworksHumans3D reconstructionHyperspectral imagingKeypoint detection and descriptionMinimally invasive surgery

Identifiers

PMID42043649
PMCPMC13354611

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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.