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Quantitative Tomography Using Coupled Physics of Waves

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Computationally efficient forward model for photoacoustic tomography (opens in new window)

Author(s): Teemu Sahlström, Aki Pulkkinen, Jarkko Leskinen, Tanja Tarvainen
Published in: Opto-Acoustic Methods and Applications in Biophotonics V, Issue 11923: 1192308, 2021, ISBN 978-1-5106-4713-8
Publisher: SPIE
DOI: 10.1117/12.2615855

Image reconstruction in quantitative photoacoustic tomography using adaptive optical Monte Carlo (opens in new window)

Author(s): Niko Hänninen, Aki Pulkkinen, Simon Arridge, Tanja Tarvainen
Published in: Photons Plus Ultrasound: Imaging and Sensing, Issue 12379: 1237916, 2023, ISSN 2410-9045
Publisher: SPIE
DOI: 10.1117/12.2647252

Perturbation Monte Carlo in quantitative photoacoustic tomography (opens in new window)

Author(s): Aki Pulkkinen, Aleksi Leino, Tuomas Lunttila, Meghdoot Mozumder, Tanja Tarvainen
Published in: Opto-Acoustic Methods and Applications in Biophotonics V, Issue 11923: 119230B, 2021, ISBN 978-1-5106-4713-8
Publisher: SPIE
DOI: 10.1117/12.2615870

Utilizing variational autoencoders in photoacoustic tomography (opens in new window)

Author(s): Teemu Sahlström, Tanja Tarvainen
Published in: Photons Plus Ultrasound: Imaging and Sensing 2023, Issue 12379:1237914, 2023
Publisher: SPIE
DOI: 10.1117/12.2644801

Diffuse optical tomography setup using a nanosecond laser (opens in new window)

Author(s): Meghdoot Mozumder, Jarkko Leskinen, Tanja Tarvainen
Published in: Diffuse Optical Spectroscopy and Imaging IX, Issue 12628; 1262820, 2023
Publisher: SPIE
DOI: 10.1117/12.2670651

Deep learning in photoacoustic tomography utilizing variational autoencoders (opens in new window)

Author(s): Teemu Sahlström, Tanja Tarvainen
Published in: Opto-Acoustic Methods and Applications in Biophotonics VI, Issue 12631: 1263108, 2023
Publisher: SPIE
DOI: 10.1117/12.2670860

Compensating modeling errors of diffusion approximation in quantitative photoacoustic tomography using a Bayesian approach (opens in new window)

Author(s): Niko Hänninen, Aki Pulkkinen, Aleksi Leino, Tanja Tarvainen
Published in: Opto-Acoustic Methods and Applications in Biophotonics V, Issue 1192309: 1192309, 2021, ISBN 978-1-5106-4713-8
Publisher: SPIE
DOI: 10.1117/12.2615866

One-step estimation of spectral optical parameters in quantitative photoacoustic tomography (opens in new window)

Author(s): Miika Suhonen, Aki Pulkkinen, Tanja Tarvainen
Published in: Opto-Acoustic Methods and Applications in Biophotonics VI, Issue 12631: 126310D, 2023
Publisher: SPIE
DOI: 10.1117/12.2675588

Computational methods for modelling and inverse problem of photoacoustic tomography

Author(s): Teemu Sahlström
Published in: Publications of the University of Eastern Finland. Dissertations in Science, Forestry and Technology, Issue 30, 2023, ISBN 978-952-61-5174-8
Publisher: University of Eastern Finland, Faculty of Science, Forestry and Technology, Department of Technical Physics

Background-oriented schlieren imaging for measuring ultrasound fields

Author(s): Eero Koponen
Published in: Publications of the University of Eastern Finland. Dissertations in Science, Forestry and Technology, Issue 40, 2024, ISBN 978-952-61-5174-8
Publisher: University of Eastern Finland, Faculty of Science, Forestry and Technology, Department of Technical Physics

Image reconstruction and uncertainty quantification in quantitative photoacoustic tomography

Author(s): Niko Hänninen
Published in: Publications of the University of Eastern Finland. Dissertations in Science, Forestry and Technology, Issue 29, 2023, ISBN 978-952-61-5174-8
Publisher: University of Eastern Finland, Faculty of Science, Forestry and Technology, Department of Technical Physics

Computationally efficient forward model for photoacoustic tomography (opens in new window)

Author(s): Eero Koponen, Jarkko Leskinen, Tanja Tarvainen, Aki Pulkkinen
Published in: The Journal of the Acoustical Society of America, Issue 154(6), 2023, Page(s) 3726-3736, ISSN 1084-7529
Publisher: Optical Society of America
DOI: 10.1121/10.0023949

Adaptive stochastic Gauss-Newton with optical Monte Carlo in quantitative photoacoustic tomography (opens in new window)

Author(s): Niko Hänninen, Aki Pulkkinen, Simon Arridge, Tanja Tarvainen
Published in: Journal of Biomedical Optics, Issue 27(8), 2022, Page(s) 083013, ISSN 1560-2281
Publisher: SPIE
DOI: 10.1117/1.jbo.27.8.083013

Single-stage approach for estimating optical parameters in spectral quantitative photoacoustic tomography (opens in new window)

Author(s): Miika Suhonen, Aki Pulkkinen, Tanja Tarvainen
Published in: Journal of the Optical Society of America, Issue 41(3), 2024, Page(s) 527-542, ISSN 1084-7529
Publisher: Optical Society of America
DOI: 10.1364/josaa.518768

A Bayesian approach for consistent reconstruction of inclusions (opens in new window)

Author(s): BM Afkham, K Knudsen, AK Rasmussen, T Tarvainen
Published in: Inverse Problems, Issue 40, 2024, Page(s) 045004, ISSN 0266-5611
Publisher: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ad2531

Assembly of fluorophore J-aggregates with nanospacer onto mesoporous nanoparticles for enhanced photoacoustic imaging (opens in new window)

Author(s): Wujun Xu, Jarkko Leskinen, Teemu Sahlström, Emilia Happonen, Tanja Tarvainen, Vesa-Pekka Lehto
Published in: Photoacoustics, Issue 33:100552, 2023, ISSN 2213-5979
Publisher: Elsevier GmbH
DOI: 10.1016/j.pacs.2023.100552

Nonlinear estimation of pressure projection of ultrasound fields in background-oriented schlieren imaging (opens in new window)

Author(s): Eero Koponen, Jarkko Leskinen, Tanja Tarvainen, Aki Pulkkinen
Published in: Journal of the Optical Society of America A, Issue 39(4), 2022, Page(s) 552-562, ISSN 1084-7529
Publisher: Optical Society of America
DOI: 10.1364/josaa.433762

Benchmark problems for transcranial ultrasound simulation: Intercomparison of compressional wave models (opens in new window)

Author(s): Jean-Francois Aubry, Oscar Bates, Christian Boehm, Kim Butts Pauly, Douglas Christensen, Carlos Cueto, Pierre Gélat, Lluis Guasch, Jiri Jaros, Yun Jing, Rebecca Jones, Ningrui Li, Patrick Marty, Hazael Montanaro, Esra Neufeld, Samuel Pichardo, Gianmarco Pinton, Aki Pulkkinen, Antonio Stanziola, Axel Thielscher, Bradley Treeby, Elwin van 't Wout
Published in: The Journal of the Acoustical Society of America, Issue 152 (2), 2022, Page(s) 1003, ISSN 0001-4966
Publisher: Acoustical Society of America
DOI: 10.1121/10.0013426

Utilising nanosecond sources in diffuse optical tomography (opens in new window)

Author(s): Meghdoot Mozumder, Jarkko Leskinen, Tanja Tarvainen
Published in: Measurement Science and Technology, Issue 34 (2), 2022, Page(s) 025901, ISSN 0957-0233
Publisher: Institute of Physics and the Physical Society
DOI: 10.1088/1361-6501/ac9e11

A model-based iterative learning approach for diffuse optical tomography (opens in new window)

Author(s): Meghdoot Mozumder, Andreas Hauptmann, Ilkka Nissiä, Simon R Arridge, Tanja Tarvainen
Published in: IEEE Transactions on Medical Imaging, Issue 41(5), 2022, Page(s) 1289-1299, ISSN 0278-0062
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2021.3136461

Sparsity promoting reconstructions via hierarchical prior models in diffuse optical tomography (opens in new window)

Author(s): Manninen, Anssi; Mozumder, Meghdoot; Tarvainen, Tanja; Hauptmann, Andreas
Published in: Inverse Problems and Imaging, Issue 18(1), 2024, Page(s) 113-137, ISSN 1930-8337
Publisher: American Institute of Mathematical Sciences
DOI: 10.3934/ipi.2023025

Quantitative photoacoustic tomography: modelling and inverse problems (opens in new window)

Author(s): Tanja Tarvainen, Ben Cox
Published in: Journal of Biomedical Optics, Issue 29(S1), 2023, Page(s) S11509, ISSN 1083-3668
Publisher: S P I E - International Society for Optical Engineering
DOI: 10.1117/1.jbo.29.s1.s11509

Utilizing Variational Autoencoders in the Bayesian Inverse Problem of Photoacoustic Tomography (opens in new window)

Author(s): Teemu Sahlström, Tanja Tarvainen
Published in: SIAM Journal on Imaging Sciences, Issue 16(1):89-110, 2023, ISSN 1936-4954
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.1137/22m1489897

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