Early stage researcher
Faculty of Science, Forestry and Technology, Department of Technical Physics
email@example.com | +358 50 358 4689
Currently I am working as an Early Stage Researcher and focusing on my PhD thesis titled “Image reconstruction and uncertainty quantification in quantitative photoacoustic tomography”. Quantitative photoacoustic tomography is an imaging method developed during the last few decades, which utilizes light induced photoacoustic effect. This method combines high contrast of optical imaging and sharp resolution of ultrasound imaging, and the most promising applications include detection of breast and skin cancers, imaging of blood vessels , treatment monitoring and imaging of small animals in biomedical applications.
One of the main challenges of quantitative photoacoustic tomography is the computational complexity of the image reconstruction problem. In my PhD thesis I develop new computational methods which can be used to decrease the computational cost of the method without sacrificing the accuracy of the reconstructed images. Additionally, I develop methods for assessing the reliability of the reconstructed images.
Image reconstruction in quantitative photoacoustic tomography using adaptive optical Monte CarloHänninen, Niko; Pulkkinen, Aki; Arridge, Simon R; Tarvainen, Tanja. Teoksessa: Oraevsky, Alexander A; Wang, Lihong V(toim.) , 2023. Photons Plus Ultrasound: Imaging and Sensing 2023. s. . SPIE
Adaptive stochastic Gauss–Newton method with optical Monte Carlo for quantitative photoacoustic tomographyHänninen, Niko; Pulkkinen, Aki; Arridge, Simon; Tarvainen, Tanja. 2022. Journal of biomedical optics. 27:
Compensating modeling errors of diffusion approximation in quantitative photoacoustic tomography using a Bayesian approachHänninen, Niko; Pulkkinen, Aki; Leino, Aleksi; Tarvainen, Tanja. Teoksessa: Kim, Chuolhong; Laufer, Jan; Zemp, Roger J(toim.) , 2021. Proc. SPIE, Opto-Acoustic Methods and Applications in Biophotonics V. s. 1192309-1. SPIE
Application of diffusion approximation in quantitative photoacoustic tomography in the presence of low-scattering regionsHänninen, Niko; Pulkkinen, Aki; Leino, Aleksi; Tarvainen, Tanja. 2020. Journal of quantitative spectroscopy and radiative transfer. 250: 107065
Image Reconstruction with Reliability Assessment in Quantitative Photoacoustic TomographyHänninen, Niko; Pulkkinen, Aki; Tarvainen, Tanja. 2018. Journal of imaging. 4: 148
Imaging of two-dimensional unsaturated moisture flows in uncracked and cracked cement-based materials using electrical capacitance tomographyVoss, Antti; Hänninen, Niko; Pour-Ghaz, Mohammad; Vauhkonen, Marko; Seppänen, Aku. 2018. Materials and structures. 51: 68