ArticleBiomedical optics express2012
Multispectral image alignment using a three channel endoscope in vivo during minimally invasive surgery.
Article in Biomedical optics express, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 39 citations in OpenAlex.
- Perspective on the current state of hyperspectral/multispectral imaging for minimally invasive surgery.Journal of biomedical optics · 2026Review
- Real-Time High-Definition Hyperspectral Endoscopy via Spatial-Temporal Low-Frequency-Stochastic Spectral Encoding.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Multispectral tissue mapping: developing a concept for the optical evaluation of liver disease.Journal of medical imaging (Bellingham, Wash.) · 2020Article
- Surgical spectral imaging.Medical image analysis · 2020Review
- Estimation of tissue oxygen saturation from RGB images and sparse hyperspectral signals based on conditional generative adversarial network.International journal of computer assisted radiology and surgery · 2019Article
- Reconstructing a 3D heart surface with stereo-endoscope by learning eigen-shapes.Biomedical optics express · 2018Article
- Deblurring sequential ocular images from multi-spectral imaging (MSI) via mutual information.Medical & biological engineering & computing · 2018Article
- Use of biomedical photonics in gynecological surgery: a uterine transplantation model.Future science OA · 2018Article
- Hyperspectral interventional imaging for enhanced tissue visualization and discrimination combining band selection methods.International journal of computer assisted radiology and surgery · 2016Review
- A high definition Mueller polarimetric endoscope for tissue characterisation.Scientific reports · 2016Article
- Robust surface tracking combining features, intensity and illumination compensation.International journal of computer assisted radiology and surgery · 2015Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sequential multispectral imaging is an acquisition technique that involves collecting images of a target at different wavelengths, to compile a spectrum for each pixel. In surgical applications it suffers from low illumination levels and motion artefacts. A three-channel rigid endoscope system has been developed that allows simultaneous recording of stereoscopic and multispectral images. Salient features on the tissue surface may be tracked during the acquisition in the stereo cameras and, using multiple camera triangulation techniques, this information used to align the multispectral images automatically even though the tissue or camera is moving. This paper describes a detailed validation of the set-up in a controlled experiment before presenting the first in vivo use of the device in a porcine minimally invasive surgical procedure. Multispectral images of the large bowel were acquired and used to extract the relative concentration of haemoglobin in the tissue despite motion due to breathing during the acquisition. Using the stereoscopic information it was also possible to overlay the multispectral information on the reconstructed 3D surface. This experiment demonstrates the ability of this system for measuring blood perfusion changes in the tissue during surgery and its potential use as a platform for other sequential imaging modalities.
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Registered trials
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.