A digital instrument simulator to optimize the development of a hyperspectral imaging system for neurosurgery

Frédéric Lange; Luca Giannoni; Fernand Fort; Charly Caredda; Bruno Montcel; Ilias Tachtsidis

doi:10.1117/12.2670873

9 August 2023 A digital instrument simulator to optimize the development of a hyperspectral imaging system for neurosurgery

Frédéric Lange, Luca Giannoni, Fernand Fort, Charly Caredda, Bruno Montcel, Ilias Tachtsidis

Author Affiliations +

Proceedings Volume 12628, Diffuse Optical Spectroscopy and Imaging IX; 126282C (2023) https://doi.org/10.1117/12.2670873
Event: European Conferences on Biomedical Optics, 2023, Munich, Germany

Abstract

In recent years, hyperspectral imaging (HSI) has demonstrated its capacity to non-invasively differentiate tumors from healthy tissues and identify cancerous regions during neurosurgery. Indeed, the spectral information contained in the HS images allows to identify more chromophores, refining the information provided by the imaging system, and allowing to identify the unique signature of each tissue types more accurately. Our HyperProbe project aims at developing a novel HSI system optimized for neurosurgery. As part of this project, we are developing a digital instrument simulator (DIS), based on Monte-Carlo (MC) simulations of the light propagation in tissues, in order to optimize both the hardware and data processing pipeline of our novel instrument. This framework allows us (1) to test the effect on the accuracy of the measurement of several hardware parameters, like the numerical aperture or sensitivity of the detector; (2) to be used as numerical phantoms to test various data processing algorithms; and (3) to generate generic data to develop and train machine learning (ML) algorithms. To do so, our framework is based on a 2-step method. Firstly, MC simulations are run to produce an ideal dataset of the photon transport in tissue. Then, the raw output parameters of the simulations, such as the exit positions and directions of the photons, are processed to take into account the physical parameters of an instrument in order to produce realistic images and test various scenarios. We present here the initial development of this DIS.

Citation Download Citation

Frédéric Lange, Luca Giannoni, Fernand Fort, Charly Caredda, Bruno Montcel, and Ilias Tachtsidis "A digital instrument simulator to optimize the development of a hyperspectral imaging system for neurosurgery", Proc. SPIE 12628, Diffuse Optical Spectroscopy and Imaging IX, 126282C (9 August 2023); https://doi.org/10.1117/12.2670873

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Equipment

Neurosurgery

Device simulation

Hyperspectral imaging

Imaging systems

Monte Carlo methods

Hyperspectral simulation

Show All Keywords

Keywords/Phrases

Search In:

Publication Years