1
|
Aref MH, Korganbayev S, Aboughaleb IH, Hussein AA, Abbass MA, Abdlaty R, Sabry YM, Saccomandi P, Youssef ABM. Custom Hyperspectral Imaging System Reveals Unique Spectral Signatures of Heart, Kidney, and Liver Tissues. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 305:123363. [PMID: 37776837 DOI: 10.1016/j.saa.2023.123363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 09/01/2023] [Accepted: 09/04/2023] [Indexed: 10/02/2023]
Abstract
The rapid advancement of diagnostic and therapeutic optical techniques for oncology demands a good understanding of the optical properties of biological tissues. This study explores the capabilities of hyperspectral (HS) cameras as a non-invasive and non-contact optical imaging system to distinguish and highlight spectral differences inbiological soft tissuesof three structures (kidney, heart, and liver) for use inendoscopic interventionoropen surgery. The study presents an optical system consisting of two individual setups, the transmission setup, and the reflection setup, both incorporating anHS camerawith apolychromatic light sourcewithin the range of 380 to 1050 nm to measure tissue's light transmission (Tr) and diffuse light reflectance (Rd), respectively. The optical system was calibrated with a customizedliquid optical phantom, then 30 samples from various organs were investigated fortissue characterizationby measuring both Tr and Rd at the visible and near infrared (VIS-NIR) band. We exploited the ANOVA test, subsequently by a Tukey's test on the created three independent clusters (kidney vs. heart: group I / kidney vs. liver: group II / heart vs. liver: group III) to identify the optimum wavelength for each tissue regarding their spectroscopic optical properties in the VIS-NIR spectrum. The optimum spectral span for the determined light Tr of the three groups was 640 ∼ 680 nm, and the ideal range was 720 ∼ 760 nm for the measured light Rd for mutual group I and group II. However, the group III range was different at a range of 520 ∼ 560 nm. Therefore, the investigation provides vital information concerning theoptimum spectral scalefor the computed light Tr and Rd of the investigatedbiological tissues(kidney, liver, and heart) to be employed in diagnostic andtherapeutic medical applications.
Collapse
Affiliation(s)
| | - Sanzhar Korganbayev
- Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy.
| | | | | | - Mohamed A Abbass
- Head of Biomedical Engineering Department, Military Technical College, Cairo, Egypt.
| | - Ramy Abdlaty
- Biomedical Engineering Department, Military Technical College, Cairo, Egypt.
| | - Yasser M Sabry
- Faculty of Engineering, Ain Shams University, Cairo, Egypt.
| | - Paola Saccomandi
- Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy.
| | | |
Collapse
|
2
|
Botelho AR, Silva HF, Martins IS, Carneiro IC, Carvalho SD, Henrique RM, Tuchin VV, Oliveira LM. Fast calculation of spectral optical properties and pigment content detection in human normal and pathological kidney. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 286:122002. [PMID: 36274538 DOI: 10.1016/j.saa.2022.122002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 10/11/2022] [Accepted: 10/13/2022] [Indexed: 06/16/2023]
Abstract
A fast calculation method was used to obtain the spectral optical properties of human normal and pathological (chromophobe renal cell carcinoma) kidney tissues. Using total transmittance, total reflectance and collimated transmittance spectra acquired from ex vivo kidney samples, the spectral optical properties of both tissues, namely the absorption, the scattering and the reduced scattering coefficients, as well as the scattering anisotropy, dispersion and light penetration depth, were calculated between 200 and 1000 nm. Analysis of the mean absorption coefficient spectra of the kidney tissues showed that both contain melanin and lipofuscin, and that 83 % of the melanin in the normal kidney converts into lipofuscin in the pathological kidney.
Collapse
Affiliation(s)
- Ana R Botelho
- Physics Department, Polytechnic of Porto - School of Engineering (ISEP), Porto, Portugal
| | - Hugo F Silva
- Porto University, School of Engineering, Porto, Portugal
| | - Inês S Martins
- Center for Innovation in Engineering and Industrial Technology, ISEP, Porto, Portugal
| | - Isa C Carneiro
- Department of Pathology and Cancer Biology and Epigenetics Group, Portuguese Oncology Institute of Porto, Porto, Portugal; Department of Pathological, Cytological and Thanatological Anatomy, Polytechnic of Porto - School of Health (ESS), Porto, Portugal
| | - Sónia D Carvalho
- Department of Pathology and Cancer Biology and Epigenetics Group, Portuguese Oncology Institute of Porto, Porto, Portugal; Department of Pathology, Santa Luzia Hospital (ULSAM), Viana do Castelo, Portugal
| | - Rui M Henrique
- Department of Pathology and Cancer Biology and Epigenetics Group, Portuguese Oncology Institute of Porto, Porto, Portugal; Department of Pathology and Molecular Immunology, Porto University - Institute of Biomedical Sciences Abel Salazar, Porto, Portugal
| | - Valery V Tuchin
- Science Medical Center, Saratov State University, Saratov, Russian Federation; Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russian Federation; Laboratory of Laser Diagnostics of Technical and Living Systems, Institute of Precision Mechanics and Control, FRC "Saratov Research Centre of Russian Academy of Sciences," Saratov, Russian Federation
| | - Luís M Oliveira
- Physics Department, Polytechnic of Porto - School of Engineering (ISEP), Porto, Portugal; Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal.
| |
Collapse
|
3
|
Martins IS, Silva HF, Lazareva EN, Chernomyrdin NV, Zaytsev KI, Oliveira LM, Tuchin VV. Measurement of tissue optical properties in a wide spectral range: a review [Invited]. BIOMEDICAL OPTICS EXPRESS 2023; 14:249-298. [PMID: 36698664 PMCID: PMC9841994 DOI: 10.1364/boe.479320] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 11/29/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
A distinctive feature of this review is a critical analysis of methods and results of measurements of the optical properties of tissues in a wide spectral range from deep UV to terahertz waves. Much attention is paid to measurements of the refractive index of biological tissues and liquids, the knowledge of which is necessary for the effective application of many methods of optical imaging and diagnostics. The optical parameters of healthy and pathological tissues are presented, and the reasons for their differences are discussed, which is important for the discrimination of pathologies and the demarcation of their boundaries. When considering the interaction of terahertz radiation with tissues, the concept of an effective medium is discussed, and relaxation models of the effective optical properties of tissues are presented. Attention is drawn to the manifestation of the scattering properties of tissues in the THz range and the problems of measuring the optical properties of tissues in this range are discussed. In conclusion, a method for the dynamic analysis of the optical properties of tissues under optical clearing using an application of immersion agents is presented. The main mechanisms and technologies of optical clearing, as well as examples of the successful application for differentiation of healthy and pathological tissues, are analyzed.
Collapse
Affiliation(s)
- Inês S. Martins
- Center for Innovation in Engineering and Industrial Technology, ISEP, Porto, Portugal
| | - Hugo F. Silva
- Porto University, School of Engineering, Porto, Portugal
| | - Ekaterina N. Lazareva
- Science Medical Center, Saratov State University, Saratov, Russia
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
| | | | - Kirill I. Zaytsev
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
| | - Luís M. Oliveira
- Physics Department, Polytechnic of Porto – School of Engineering (ISEP), Porto, Portugal
- Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal
| | - Valery V. Tuchin
- Science Medical Center, Saratov State University, Saratov, Russia
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
| |
Collapse
|