
TANJA TARVAINEN
Professor
Professor on Computational Imaging and Modelling
The team of Professor Tanja Tarvainen investigates and develops computational methods for optical and ultrasonic inverse problems such as tomographic imaging and therapy in the framework of Bayesian inverse problems. The tomographic methods include purely light based modalities such as diffuse optical tomography and coupled physics imaging such as photoacoustic tomography. In addition, modelling and computational methods for light transport and ultrasound propagation are studied, and prototype instrumentation for the techniques are developed.
Contact info
Organization
Faculty of Science and Forestry, Department of Applied Physics
tanja.tarvainen@uef.fi
Phone
+358 40 355 2310
Keywords
Teaching Activities
- Current teaching: Optimization, Tieteellinen viestintä sovelletussa fysiikassa
- Past teaching (lectures): Finite element methods, Modelling II
- Past teaching (exercises): Statistical inverse problems, Mathematical modelling, Finite element methods, Optimization, Estimation theory, Modelling II, Physics A, Physics III
Societal Activities
- Member of the board of the Finnish Inverse Problems Society (2010-) and the Finnish Physical Society (2017-2020).
- Member of the scientific societies: Society for Industrial and Applied Mathematics - SIAM, Finnish Physical Society, Finnish Inverse Problems Society, Photonics Finland, Finnish Society of Medical Physics and Medical Engineering.
Research groups and research projects
- Computational Physics and Inverse Problems Group
- Biomedical Optical Imaging and Ultrasound Laboratory (OPUS)
- Institute of Photonics
- Visiting Professor, Department of Computer Science, University College London, UK
- Collaborator in CUQI - Computational Uncertainty Quantification for Inverse Problems, DTU Compute, Denmark
- Quantitative Tomography Using Coupled Physics of Waves (QUANTOM), ERC-CoG project
- Centre of Excellence in Inverse Modelling and Imaging
- PREIN – the Finnish Flagship on Photonics Research and Innovation
- Nanotheranostics based on light, RADDESS Academy Programme
- Quantitative imaging using light and sound, Jane and Aatos Erkko Foundation
- ValoMC - a Monte Carlo software and MATLAB toolbox for simulating light transport in biological tissue
- Inverse problems
- Uncertainty quantification
- Optical tomography
- Photoacoustic tomography
- Radiative transfer
Releases in SoleCRIS
Research groups - UEF
Links
-
Twitter @tmtarvainen
-
LinkedIn Tanja Tarvainen
-
Research gate Tanja Tarvainen's lab
-
Orcid 0000-0002-7919-4033
-
Link Google Scholar - Tanja Tarvainen
-
Link PhD thesis: Computational Method for Light Transport in Optical Tomography
Publications
-
Mozumder, Meghdoot; Hauptmann, Andreas; Nissilä, Ilkka; Arridge, Simon R.; Tarvainen, Tanja. 2022. A model-based iterative learning approach for diffuse optical tomography IEEE transactions on medical imaging [Epub ahead of print 4 March 2021]: 1-11. 2022
-
Computationally efficient forward model for photoacoustic tomography. Sahlstrom, Teemu; Pulkkinen, Aki; Leskinen, Jarkko; Tarvainen, Tanja / Proc. SPIE, Opto-Acoustic Methods and Applications in Biophotonics V. 2021. 2021
-
Fourier transform provides computational advantages for time-domain diffuse optical tomography. Mozumder, Meghdoot; Tarvainen, Tanja / Proceedings of SPIE: Diffuse Optical Spectroscopy and Imaging VIII. 2021. 2021
-
Lunz, Sebastian; Hauptmann, Andreas; Tarvainen, Tanja; Schonlieb, Carola-Bibiane; Arridge, Simon. 2021. On Learned Operator Correction in Inverse Problems Siam journal on imaging sciences 14 1: 92-127. 2021
-
Perturbation Monte Carlo in Quantitative Photoacoustic Tomography. Pulkkinen, Aki; Leino, Aleksi; Lunttila, Tuomas; Mozumder, Mehghdoot; Tarvainen, Tanja / Proc. SPIE, Opto-Acoustic Methods and Applications in Biophotonics V. 2021. 2021
-
Sahlstrom, Teemu; Pulkkinen, Aki; Leskinen, Jarkko; Tarvainen, Tanja. 2021. Computationally Efficient Forward Operator for Photoacoustic Tomography Based on Coordinate Transformations IEEE transactions on ultrasonics ferroelectrics and frequency control 68 6: 2172-2182. 2021
-
Compensating modeling errors of diffusion approximation in quantitative photoacoustic tomography using a Bayesian approach. Hänninen, Niko; Pulkkinen, Aki; Leino, Aleksi; Tarvainen, Tanja / Proc. SPIE, Opto-Acoustic Methods and Applications in Biophotonics V. 2021. 2021
-
Mozumder, Meghdoot; Tarvainen, Tanja. 2020. Evaluation of temporal moments and Fourier transformed data in time-domain diffuse optical tomography Journal of the optical society of america a: optics image science and vision 37 12: 1845-1856. 2020
-
Sahlström, Teemu; Pulkkinen, Aki; Tick, Jenni; Leskinen, Jarkko; Tarvainen, Tanja. 2020. Modeling of Errors due to Uncertainties in Ultrasound Sensor Locations in Photoacoustic Tomography IEEE transactions on medical imaging 39 6: 2140-2150. 2020
-
Mozumder, Meghdoot; Tarvainen, Tanja. 2020. Time-domain diffuse optical tomography utilizing truncated Fourier series approximation Journal of the optical society of america a: optics image science and vision 37 2: 182-191. 2020