Presentation + Paper
9 March 2023 Toward cancer characterization using light backscattering spectroscopy and quantitative ultrasound
Author Affiliations +
Abstract
Two optical techniques and two ultrasound methods have been applied on an excised mouse tumor with the aim of estimating its microstructural properties. Enhanced Backscattering Spectroscopy, Light Scattering Spectroscopy, ultrasound Backscatter Coefficient parametrization and Envelope Statistics have been performed the same day on this biological sample. Thus, different quantitative light-based and ultrasound-based parameters that reflects the scattering properties have been estimated. Histological analyses were carried out to obtain morphological information about the cell structures. The scatterer size distribution extracted by the Backscatter Coefficient parametrization (mean radius = 9.2 µm) overestimates the cell size (mean radius = 4.6 µm). However, a good agreement have been observed between the experimental data and the models for Enhanced Backscattering Spectroscopy and Envelope Statistics (respectively R2 = 0.98, R2 env,HK = 0.98 ± 0.01 and R2 env,Nak = 0.90 ± 0.03). These two techniques brought quantitative parameters with difficult absolute value interpretations. Nonetheless, they could be of prime interest in studies with different type of tissue for classification purposes.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cyril Malinet, Pauline Muleki-Seya, Aurélie Dutour, Iveta Fajnorova, Hervé Liebgott, and Bruno Montcel "Toward cancer characterization using light backscattering spectroscopy and quantitative ultrasound", Proc. SPIE 12379, Photons Plus Ultrasound: Imaging and Sensing 2023, 123790A (9 March 2023); https://doi.org/10.1117/12.2648087
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Tissues

Backscatter

Spectroscopy

Ultrasonography

Light scattering

Biological samples

Cancer

Back to Top