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Marmin A, Dufour N, Facca S, Catheline S, Chatelin S, Nahas A. Full-field noise-correlation elastography for in-plane mechanical anisotropy imaging. BIOMEDICAL OPTICS EXPRESS 2024; 15:2622-2635. [PMID: 38633096 PMCID: PMC11019699 DOI: 10.1364/boe.516166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/04/2024] [Accepted: 03/05/2024] [Indexed: 04/19/2024]
Abstract
Elastography contrast imaging has great potential for the detection and characterization of abnormalities in soft biological tissues to help physicians in diagnosis. Transient shear-waves elastography has notably shown promising results for a range of clinical applications. In biological soft tissues such as muscle, high mechanical anisotropy implies different stiffness estimations depending on the direction of the measurement. In this study, we propose the evolution of a noise-correlation elastography approach for in-plane anisotropy mapping. This method is shown to retrieve anisotropy from simulation images before being validated on agarose anisotropic tissue-mimicking phantoms, and the first results on in-vivo biological fibrous tissues are presented.
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Affiliation(s)
- Agathe Marmin
- Université de
Strasbourg, CNRS, ICube, UMR 7357, 67000 Strasbourg,
France
| | - Nina Dufour
- Université de
Strasbourg, CNRS, ICube, UMR 7357, 67000 Strasbourg,
France
| | - Sybille Facca
- Université de
Strasbourg, CNRS, ICube, UMR 7357, 67000 Strasbourg,
France
- Department of Hand Surgery, SOS hand,
University Hospital of Strasbourg, FMTS, 1
avenue Molière, 67000 Strasbourg, France
| | - Stefan Catheline
- LabTAU, Inserm, Centre Léon Bérard, Université Lyon 1, Univ Lyon, F-69003 Lyon, France
| | - Simon Chatelin
- Université de
Strasbourg, CNRS, ICube, UMR 7357, 67000 Strasbourg,
France
- RoDIn, Inserm ERL1328, 1 place de l’Hôpital, 67000 Strasbourg, France
| | - Amir Nahas
- Université de
Strasbourg, CNRS, ICube, UMR 7357, 67000 Strasbourg,
France
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Leartprapun N, Adie SG. Recent advances in optical elastography and emerging opportunities in the basic sciences and translational medicine [Invited]. BIOMEDICAL OPTICS EXPRESS 2023; 14:208-248. [PMID: 36698669 PMCID: PMC9842001 DOI: 10.1364/boe.468932] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 11/29/2022] [Accepted: 11/29/2022] [Indexed: 05/28/2023]
Abstract
Optical elastography offers a rich body of imaging capabilities that can serve as a bridge between organ-level medical elastography and single-molecule biophysics. We review the methodologies and recent developments in optical coherence elastography, Brillouin microscopy, optical microrheology, and photoacoustic elastography. With an outlook toward maximizing the basic science and translational clinical impact of optical elastography technologies, we discuss potential ways that these techniques can integrate not only with each other, but also with supporting technologies and capabilities in other biomedical fields. By embracing cross-modality and cross-disciplinary interactions with these parallel fields, optical elastography can greatly increase its potential to drive new discoveries in the biomedical sciences as well as the development of novel biomechanics-based clinical diagnostics and therapeutics.
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Affiliation(s)
- Nichaluk Leartprapun
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York 14853, USA
- Present affiliation: Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Steven G. Adie
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York 14853, USA
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Singh A, Kumar P, Yeleswarapu S, Pati F, John R. Surface wave elastography using high speed full-field optical interferometry. Biomed Phys Eng Express 2022; 8. [PMID: 35105829 DOI: 10.1088/2057-1976/ac50be] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 02/01/2022] [Indexed: 11/12/2022]
Abstract
The assessment of mechanical stiffness is an essential diagnostic tool for investigating the biomechanical properties of biological tissues. Surface wave elastography (SWE) is an emerging technique to quantify elastic properties of tissues in clinical diagnosis. High-speed optical imaging combined with SWE has enormous potential in quantifying the elastic properties of tissues at microscale resolutions. In this study, we implement surface wave elastography using high-speed optical interferometry to characterize the elastic properties of tissue-mimicking phantoms andex-vivonative caprine liver tissue by imaging the surface wave induced by an electromechanical actuator. The sinusoidal mechanical excitations ranging from 120 Hz to 1.2 kHz on the surface of tissues are captured using a high-speed camera with a frame rate of 4 kHz at micrometer resolutions. The surface wavefront reconstruction is performed using a phase-shifting algorithm and linear regression is used to calculate the surface wave velocity. The mechanical stiffness estimated from the optical system is compared with the results of mechanical compression testing measurements. The results from this multimodal platform combining optical interferometry and vibrational spectroscopy using SWE are highly promising towards a non-invasive or minimally invasive imaging forin-vivoandex-vivomechanical characterization of tissues with future clinical applications.
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Affiliation(s)
- Amandeep Singh
- Department of Biomedical Engineering, Indian Institute of Technology Hyderabad, Kandi, Telangana, Hyderabad, Telangana, 502284, INDIA
| | - Pawan Kumar
- Department of Biomedical Engineering, Indian Institute of Technology Hyderabad, Kandi, Telangana, Hyderabad, Telangana, 502284, INDIA
| | - Sriya Yeleswarapu
- Department of Biomedical Engineering, Indian Institute of Technology Hyderabad, Kandi, Telangana, Hyderabad, Telangana, 502284, INDIA
| | - Falguni Pati
- Department of Biomedical Engineering, Indian Institute of Technology Hyderabad, Kandi, Telangana, Hyderabad, Telangana, 502284, INDIA
| | - Renu John
- Department of Biomedical Engineering, Indian Institute of Technology Hyderabad, Kandi, Telangana, Hyderabad, Telangana, 502205, INDIA
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Zvietcovich F, Larin KV. Wave-based optical coherence elastography: The 10-year perspective. PROGRESS IN BIOMEDICAL ENGINEERING (BRISTOL, ENGLAND) 2022; 4:012007. [PMID: 35187403 PMCID: PMC8856668 DOI: 10.1088/2516-1091/ac4512] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
After 10 years of progress and innovation, optical coherence elastography (OCE) based on the propagation of mechanical waves has become one of the major and the most studied OCE branches, producing a fundamental impact in the quantitative and nondestructive biomechanical characterization of tissues. Preceding previous progress made in ultrasound and magnetic resonance elastography; wave-based OCE has pushed to the limit the advance of three major pillars: (1) implementation of novel wave excitation methods in tissues, (2) understanding new types of mechanical waves in complex boundary conditions by proposing advance analytical and numerical models, and (3) the development of novel estimators capable of retrieving quantitative 2D/3D biomechanical information of tissues. This remarkable progress promoted a major advance in answering basic science questions and the improvement of medical disease diagnosis and treatment monitoring in several types of tissues leading, ultimately, to the first attempts of clinical trials and translational research aiming to have wave-based OCE working in clinical environments. This paper summarizes the fundamental up-to-date principles and categories of wave-based OCE, revises the timeline and the state-of-the-art techniques and applications lying in those categories, and concludes with a discussion on the current challenges and future directions, including clinical translation research.
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Affiliation(s)
- Fernando Zvietcovich
- University of Houston, Biomedical Engineering, Houston, TX, United States, 77204
| | - Kirill V. Larin
- University of Houston, Biomedical Engineering, Houston, TX, United States, 77204,
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Marmin A, Laloy-Borgna G, Facca S, Gioux S, Catheline S, Nahas A. Time-of-flight and noise-correlation-inspired algorithms for full-field shear-wave elastography using digital holography. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-210039RR. [PMID: 34414704 PMCID: PMC8374320 DOI: 10.1117/1.jbo.26.8.086006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 07/26/2021] [Indexed: 06/13/2023]
Abstract
SIGNIFICANCE Quantitative stiffness information can be a powerful aid for tumor or fibrosis diagnosis. Currently, very promising elastography approaches developed for non-contact biomedical imaging are based on transient shear-waves imaging. Transient elastography offers quantitative stiffness information by tracking the propagation of a wave front. The most common method used to compute stiffness from the acquired propagation movie is based on shear-wave time-of-flight calculations. AIM We introduce an approach to transient shear-wave elastography with spatially coherent sources, able to yield full-field quantitative stiffness maps with reduced artifacts compared to typical artifacts observed in time-of-flight. APPROACH A noise-correlation algorithm developed for passive elastography is adapted to spatially coherent narrow or any band sources. This noise-correlation-inspired (NCi) method is employed in parallel with a classic time-of-flight approach. Testing is done on simulation images, experimental validation is conducted with a digital holography setup on controlled homogeneous samples, and full-field quantitative stiffness maps are presented for heterogeneous samples and ex-vivo biological tissues. RESULTS The NCi approach is first validated on simulations images. Stiffness images processed by the NCi approach on simulated inclusions display significantly less artifacts than with a time-of-flight reconstruction. The adaptability of the NCi algorithm to narrow or any band shear-wave sources was tested successfully. Experimental testing on homogeneous samples demonstrates similar values for both the time-of-flight and the NCi approach. Soft inclusions in agarose sample could be resolved using the NCi method and feasibility on ex-vivo biological tissues is presented. CONCLUSIONS The presented NCi approach was successful in computing quantitative full-field stiffness maps with narrow and broadband source signals on simulation and experimental images from a digital holography setup. Results in heterogeneous media show that the NCi approach could provide stiffness maps with less artifacts than with time-of-flight, demonstrating that a NCi algorithm is a promising approach for shear-wave transient elastography with spatially coherent sources.
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Affiliation(s)
- Agathe Marmin
- The University of Strasbourg, ICUBE Research Institute, Strasbourg, France
| | | | - Sybille Facca
- The University of Strasbourg, ICUBE Research Institute, Strasbourg, France
- University Hospital of Strasbourg, FMTS, ICube CNRS 7357, University of Strasbourg, Department of Hand Surgery, SOS hand, Strasbourg, France
| | - Sylvain Gioux
- The University of Strasbourg, ICUBE Research Institute, Strasbourg, France
| | | | - Amir Nahas
- The University of Strasbourg, ICUBE Research Institute, Strasbourg, France
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