Evidence map›Paper›PMID 39624199›Full record

ArticleJournal of biomedical optics2025

Digital instrument simulator to optimize the development of hyperspectral systems: application for intraoperative functional brain mapping.

Charly Caredda, Frédéric Lange, Luca Giannoni, Ivan Ezhov, Thiébaud Picart, Jacques Guyotat, Ilias Tachtsidis, Bruno Montcel

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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.

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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

8 authors.

Charly CareddaUniversité Claude Bernard Lyon 1, Univ Lyon, INSA-Lyon, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR, Lyon, France.ORCID 0000-0002-9592-0883
Frédéric LangeUniversity College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom.ORCID 0000-0001-8561-1879
Luca GiannoniUniversity of Florence, Department of Physics and Astronomy, Firenze, Italy.ORCID 0000-0001-6846-7414
Ivan EzhovTechnical University of Munich, München, Germany.
Thiébaud PicartHospices Civils de Lyon, Service de Neurochirurgie D, Bron, France.ORCID 0000-0001-6494-6725
Jacques GuyotatHospices Civils de Lyon, Service de Neurochirurgie D, Bron, France.
Ilias TachtsidisUniversity College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom.ORCID 0000-0002-8125-0313
Bruno MontcelUniversité Claude Bernard Lyon 1, Univ Lyon, INSA-Lyon, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR, Lyon, France.ORCID 0000-0003-3352-9560

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Intraoperative optical imaging is a localization technique for the functional areas of the human brain cortex during neurosurgical procedures. These areas can be assessed by monitoring cerebral hemodynamics and metabolism. Robust quantification of these biomarkers is complicated to perform during neurosurgery due to the critical context of the operating room. In actual devices, the inhomogeneities of the optical properties of the exposed brain cortex are poorly taken into consideration, which introduce quantification errors of biomarkers of brain functionality. Moreover, the best choice of spectral configuration is still based on an empirical approach. Aim: We propose a digital instrument simulator to optimize the development of hyperspectral systems for intraoperative brain mapping studies. This simulator can provide realistic modeling of the cerebral cortex and the identification of the optimal wavelengths to monitor cerebral hemodynamics (oxygenated Approach: The digital instrument simulator is computed with white Monte Carlo simulations of a volume created from a real image of exposed cortex. We developed an optimization procedure based on a genetic algorithm to identify the best wavelength combinations in the visible and near-infrared range to quantify concentration changes in Results: The digital instrument allows the modeling of intensity maps collected by a camera sensor as well as images of path length to take into account the inhomogeneities of the optical properties. The optimization procedure helps to identify the best wavelength combination of 18 wavelengths that reduces the quantification errors in Conclusions: We proposed a digital instrument simulator to optimize the development of hyperspectral systems for intraoperative brain mapping studies. This digital instrument simulator and this optimization framework could be used to optimize the design of hyperspectral imaging devices.

Indexed as

Brain MappingAlgorithmsBrainCerebrovascular CirculationComputer SimulationEquipment DesignHemoglobinsHumansHyperspectral ImagingMonte Carlo MethodHemoglobinsdigital simulatorhyperspectral imagingintraoperative functional brain mappingMonte Carlo simulationsoptical imaging

Identifiers

PMID39624199
PMCPMC11610766

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.