Caredda, Charly;
Lange, Frederic;
Giannoni, Luca;
Ezhov, Ivan;
Tachtsidis, Ilias;
Montcel, Bruno;
(2024)
A digital instrument simulator to optimize the development of hyperspectral systems for intraoperative brain mapping.
In: Tuchin, Valery V and Blondel, Walter CPM and Zalevsky, Zeev, (eds.)
Proceedings Volume 13010, Tissue Optics and Photonics III.
(pp. 130100L-1-130100L-5).
SPIE: Bellingham, WA, USA.
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Abstract
Optical imaging is a marker-free, contactless, and non-invasive technique that is able to monitor hemodynamic and metabolic brain response following neuronal activation during neurosurgery. However, a robust quantification is complicated to perform during neurosurgery due to the critical context of the operating room, which makes the calibration and adjustment of optical devices more complex. To overcome this issue, tissue-simulating objects that mimic the properties of biological tissues are required for the development of detection or diagnostic imaging systems. In this study, we developed a digital instrument simulator to optimize the development of a novel hyperspectral system for application in brain/cortex imaging. This digital phantom is based on white Monte Carlo simulations of the light propagation in tissues. The output of the Monte Carlo simulations are integrated with the key instrument parameters in order to produce realistic images. The results can be beneficial and useful within the framework of our EU-funded HyperProbe project, which aims at transforming neuronavigation during glioma resection using novel hyperspectral imaging technology.
Type: | Proceedings paper |
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Title: | A digital instrument simulator to optimize the development of hyperspectral systems for intraoperative brain mapping |
Event: | SPIE Photonics Europe: 2024 |
Dates: | 7 Apr 2024 - 12 Apr 2024 |
ISBN-13: | 9781510673380 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1117/12.3017488 |
Publisher version: | http://dx.doi.org/10.1117/12.3017488 |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Digital instrument simular, hyperspectral imaging, functional brain mapping, Monte Carlo simulations |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10197084 |




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