Novel Approach Exploiting the Hyperspectral Imaging System for Breast Cancer Therapy and Diagnosis

Abstract

Background: Breast malignant growth is the most widely recognized disease in women in both highly and less developed nations where early detection is vital for life-saving and fast recovery. Recently, Photonic technologies has played a vital role in medical applications. Their satisfactory and viable implementation in therapy and diagnosis requires reliable information on the optical properties of human tissues. This study presents an outline of recent outcomes on the magnitude of breast tissue optical properties.Methods: We established two different system setups utilizing hyperspectral (HS) camera and multiple excitation source lights with wavelength (380~1050 nm) for this investigation. The first setup (Transmission Mode) was applied for light transmission measurement of ex-vivo breast sample. Thereby, we made calculations of sample absorption. The second setup (Reflection Mode) was used for the measurement of breast sample light diffuse reflectance. The outcomes of both setups were used to select the optimum spectral image to differentiate between the normal and tumoral regions in the ex-vivo breast sample by exploring the optical properties spectroscopy in the Near and visible (NIR-VIS) spectrum. Finally, we applied the custom system on the case study technique for breast tumor detection.Results: Experimental investigations results showed that due to the various excitation wavelength light source (380~1050 nm) generates variable depths of penetration depth in the ex-vivo breast sample. Consequently, experimental results of the diffuse reflectance (?d) provide the optimum spectral image at 600 nm for the diagnostic applications. However, the statistical calculation of the normalized signal validated the outcome at wavelength 680 nm. Additionally, we noticed the optimum spectral image for therapy applications at 700 nm by measurement of breast tissue transmission (?) and attenuation absorption (?) calculation. Moreover, the statistical calculation of the normalized signal validated the outcome at wavelength 760 nm.Conclusions: The proposed novel approach successfully provided promising results of the investigated breast sample optical properties in both diagnostic and therapy applications to assist the pathologist and the surgeon. The trail outcomes of the investigated case study were impressive for selecting optimum wavelength for diagnostic and treatment (680, 760 nm), respectively.

Hyperspectral imaging and its applications: An Overview

“…In cancer detection, a lot of work has been already proposed in the literature using ex-vivo (for human tissues) and in-vivo (for animals such as Mice). In [33][34][35][36][37] authors performed breast cancer detection, where all of them used HSI to perform analysis on the resected tissues (humans). They also have demonstrated the feasibility of using Artificial Intelligence techniques along with HSI for classification of the tissues i.e., benign or malignant.…”

Review on the Application of Hyperspectral Imaging Technology of the Exposed Cortex in Cerebral Surgery

“…In the field of oncology, HSI technology has been successfully applied to detect head and neck cancer ( Halicek et al, 2017 ; Eggert et al, 2022 ), thyroid and salivary glands ( Halicek et al, 2020 ), gastric cancer ( Li et al, 2019 ; Liu et al, 2020a ), oral cancer ( Jeyaraj et al, 2020 ), colon cancer ( Baltussen et al, 2019 ; Manni, 2020 ; Maktabi, 2021 ) as well as breast cancer ( Kho et al, 2019 ; Aboughaleb et al, 2020 ). Previously, other authors have published comprehensive overviews concerning the application of HSI in gastroenterology ( Ortega et al, 2019 ), wound care ( Saiko et al, 2020 ) or breast cancer therapy and diagnosis ( Aref et al, 2020 ). However, to our knowledge, the application of HSI in cerebral disease has not been systematically reviewed.…”

Characterization of Normal and Malignant Breast Tissues utilizing Hyperspectral Images and Associated Differential Spectrum Algorithm

“…The hyperspectral imaging (HSI) system is a substitution modality for biological detection and RGB imaging for its ability to segregate between various materials by utilizing both morphological and spectral characteristics [26][27][28]. This tool has been effectively employed to support the diagnosis of various types of histological samples, for example, blood oxygenation and microcirculation [29][30][31], brain cancer detection [32,32], tissue characterization [33][34][35][36][37][38], and monitoring liver ablation [39][40][41][42][43][44], and in the field of breast cancer [15,[45][46][47][48].…”