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Haltmeier M, Ye M, Felbermayer K, Hinterleitner F, Burgholzer P. Design, implementation, and analysis of a compressed sensing photoacoustic projection imaging system. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:S11529. [PMID: 38650979 PMCID: PMC11033734 DOI: 10.1117/1.jbo.29.s1.s11529] [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: 10/24/2023] [Revised: 02/16/2024] [Accepted: 02/28/2024] [Indexed: 04/25/2024]
Abstract
Significance Compressed sensing (CS) uses special measurement designs combined with powerful mathematical algorithms to reduce the amount of data to be collected while maintaining image quality. This is relevant to almost any imaging modality, and in this paper we focus on CS in photoacoustic projection imaging (PAPI) with integrating line detectors (ILDs). Aim Our previous research involved rather general CS measurements, where each ILD can contribute to any measurement. In the real world, however, the design of CS measurements is subject to practical constraints. In this research, we aim at a CS-PAPI system where each measurement involves only a subset of ILDs, and which can be implemented in a cost-effective manner. Approach We extend the existing PAPI with a self-developed CS unit. The system provides structured CS matrices for which the existing recovery theory cannot be applied directly. A random search strategy is applied to select the CS measurement matrix within this class for which we obtain exact sparse recovery. Results We implement a CS PAPI system for a compression factor of 4:3, where specific measurements are made on separate groups of 16 ILDs. We algorithmically design optimal CS measurements that have proven sparse CS capabilities. Numerical experiments are used to support our results. Conclusions CS with proven sparse recovery capabilities can be integrated into PAPI, and numerical results support this setup. Future work will focus on applying it to experimental data and utilizing data-driven approaches to enhance the compression factor and generalize the signal class.
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Affiliation(s)
- Markus Haltmeier
- University of Innsbruck, Department of Mathematics, Innsbruck, Austria
| | - Matthias Ye
- University of Innsbruck, Department of Mathematics, Innsbruck, Austria
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Isaiev M, Mussabek G, Lishchuk P, Dubyk K, Zhylkybayeva N, Yar-Mukhamedova G, Lacroix D, Lysenko V. Application of the Photoacoustic Approach in the Characterization of Nanostructured Materials. NANOMATERIALS 2022; 12:nano12040708. [PMID: 35215036 PMCID: PMC8876047 DOI: 10.3390/nano12040708] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 02/09/2022] [Accepted: 02/15/2022] [Indexed: 02/01/2023]
Abstract
A new generation of sensors can be engineered based on the sensing of several markers to satisfy the conditions of the multimodal detection principle. From this point of view, photoacoustic-based sensing approaches are essential. The photoacoustic effect relies on the generation of light-induced deformation (pressure) perturbations in media, which is essential for sensing applications since the photoacoustic response is formed due to a contrast in the optical, thermal, and acoustical properties. It is also particularly important to mention that photoacoustic light-based approaches are flexible enough for the measurement of thermal/elastic parameters. Moreover, the photoacoustic approach can be used for imaging and visualization in material research and biomedical applications. The advantages of photoacoustic devices are their compact sizes and the possibility of on-site measurements, enabling the online monitoring of material parameters. The latter has significance for the development of various sensing applications, including biomedical ones, such as monitoring of the biodistribution of biomolecules. To extend sensing abilities and to find reliable measurement conditions, one needs to clearly understand all the phenomena taking place during energy transformation during photoacoustic signal formation. Therefore, the current paper is devoted to an overview of the main measurement principles used in the photoacoustic setup configurations, with a special focus on the key physical parameters.
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Affiliation(s)
- Mykola Isaiev
- Université de Lorraine, CNRS, LEMTA, 54000 Nancy, France; (M.I.); (D.L.)
| | - Gauhar Mussabek
- Institute of Experimental and Theoretical Physics, Al-Farabi Kazakh National University, 71, Al-Farabi Ave., Almaty 050040, Kazakhstan; (N.Z.); (G.Y.-M.)
- Institute of Information and Computational Technologies, 125, Pushkin Str., Almaty 050000, Kazakhstan
- Institute of Engineering Physics for Biomedicine, Laboratory “Bionanophotonics”, National Research Nuclear University “MEPhI”, 115409 Moscow, Russia;
- Correspondence:
| | - Pavlo Lishchuk
- Faculty of Physics, Taras Shevchenko National University of Kyiv, 64/13, Volodymyrska Str., 01601 Kyiv, Ukraine; (P.L.); (K.D.)
| | - Kateryna Dubyk
- Faculty of Physics, Taras Shevchenko National University of Kyiv, 64/13, Volodymyrska Str., 01601 Kyiv, Ukraine; (P.L.); (K.D.)
| | - Nazym Zhylkybayeva
- Institute of Experimental and Theoretical Physics, Al-Farabi Kazakh National University, 71, Al-Farabi Ave., Almaty 050040, Kazakhstan; (N.Z.); (G.Y.-M.)
- Institute of Information and Computational Technologies, 125, Pushkin Str., Almaty 050000, Kazakhstan
| | - Gulmira Yar-Mukhamedova
- Institute of Experimental and Theoretical Physics, Al-Farabi Kazakh National University, 71, Al-Farabi Ave., Almaty 050040, Kazakhstan; (N.Z.); (G.Y.-M.)
| | - David Lacroix
- Université de Lorraine, CNRS, LEMTA, 54000 Nancy, France; (M.I.); (D.L.)
| | - Vladimir Lysenko
- Institute of Engineering Physics for Biomedicine, Laboratory “Bionanophotonics”, National Research Nuclear University “MEPhI”, 115409 Moscow, Russia;
- Light Matter Institute, UMR-5306, Claude Bernard University of Lyon/CNRS, Université de Lyon, 69622 Villeurbanne, France
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Goldfain AM, Yung CS, Briggman KA, Hwang J. Optical phase contrast imaging for absolute, quantitative measurements of ultrasonic fields with frequencies up to 20 MHz. THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 2021; 149:4620. [PMID: 34241467 PMCID: PMC9889099 DOI: 10.1121/10.0005431] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 06/03/2021] [Indexed: 06/13/2023]
Abstract
The technique of phase contrast imaging, combined with tomographic reconstructions, can rapidly measure ultrasonic fields propagating in water, including ultrasonic fields with complex wavefront shapes, which are difficult to characterize with standard hydrophone measurements. Furthermore, the technique can measure the absolute pressure amplitudes of ultrasonic fields without requiring a pressure calibration. Absolute pressure measurements have been previously demonstrated using optical imaging methods for ultrasonic frequencies below 2.5 MHz. The present work demonstrates that phase contrast imaging can accurately measure ultrasonic fields with frequencies up to 20 MHz and pressure amplitudes near 10 kPa. Accurate measurements at high ultrasonic frequencies are performed by tailoring the measurement conditions to limit optical diffraction as guided by a simple dimensionless parameter. In some situations, differences between high frequency measurements made with the phase contrast method and a calibrated hydrophone become apparent, and the reasons for these differences are discussed. Extending optical imaging measurements to high ultrasonic frequencies could facilitate quantitative applications of ultrasound measurements in nondestructive testing and medical therapeutics and diagnostics such as photoacoustic imaging.
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Affiliation(s)
- Aaron M Goldfain
- Applied Physics Division, National Institute of Standards and Technology, Boulder, Colorado 80305, USA
| | - Christopher S Yung
- Applied Physics Division, National Institute of Standards and Technology, Boulder, Colorado 80305, USA
| | - Kimberly A Briggman
- Applied Physics Division, National Institute of Standards and Technology, Boulder, Colorado 80305, USA
| | - Jeeseong Hwang
- Applied Physics Division, National Institute of Standards and Technology, Boulder, Colorado 80305, USA
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Bredies K, Nuster R, Watschinger R. TGV-regularized inversion of the Radon transform for photoacoustic tomography. BIOMEDICAL OPTICS EXPRESS 2020; 11:994-1019. [PMID: 32133234 PMCID: PMC7041474 DOI: 10.1364/boe.379941] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 12/05/2019] [Accepted: 12/19/2019] [Indexed: 06/10/2023]
Abstract
We propose and study a reconstruction method for photoacoustic tomography (PAT) based on total generalized variation (TGV) regularization for the inversion of the slice-wise 2D-Radon transform in 3D. The latter problem occurs for recently-developed PAT imaging techniques with parallelized integrating ultrasound detection where projection data from various directions is sequentially acquired. As the imaging speed is presently limited to 20 seconds per 3D image, the reconstruction of temporally-resolved 3D sequences of, e.g., one heartbeat or breathing cycle, is very challenging and currently, the presence of motion artifacts in the reconstructions obstructs the applicability for biomedical research. In order to push these techniques forward towards real time, it thus becomes necessary to reconstruct from less measured data such as few-projection data and consequently, to employ sophisticated reconstruction methods in order to avoid typical artifacts. The proposed TGV-regularized Radon inversion is a variational method that is shown to be capable of such artifact-free inversion. It is validated by numerical simulations, compared to filtered back projection (FBP), and performance-tested on real data from phantom as well as in-vivo mouse experiments. The results indicate that a speed-up factor of four is possible without compromising reconstruction quality.
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Affiliation(s)
- Kristian Bredies
- Institute of Mathematics and Scientific Computing, University of Graz, Heinrichstrasse 36, 8010 Graz, Austria
- NAWI Graz and BioTechMed Graz, Mozartgasse 12/II, 8010 Graz, Austria
| | - Robert Nuster
- NAWI Graz and BioTechMed Graz, Mozartgasse 12/II, 8010 Graz, Austria
- Department of Physics, University of Graz, Universitaetsplatz 5, 8010 Graz, Austria
| | - Raphael Watschinger
- Institute of Mathematics and Scientific Computing, University of Graz, Heinrichstrasse 36, 8010 Graz, Austria
- Institute of Applied Mathematics, Graz University of Technology, Steyrergasse 30, 8010 Graz, Austria
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