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Multimodality medical imaging

Multimodality medical imaging combines two imaging techniques into a single instrument, which provides 3D images of anatomical and functional parameters in co-registered form. Compared to conventional medical imaging, multimodality imaging can produce significantly more rich diagnostic information, and they are emerging as the state-of-the-art of imaging in many areas of medicine. Our objective is to advance multimodality imaging by developing joint inversion methods, which utilize prior models for the structural correlation between the anatomical and functional images in the image reconstruction problem. The methods are studied together with our collaborators at the UEF Biomedical imaging unit and Kuopio University Hospital. Case studies include functional MRI, hyperpolarized 13-C labeled spectroscopic MRI, cone beam CT in image-guided radiation therapy, PET/CT and PET/MRI.


TV regularized reconstructions of a head phantom from limited angle CT data using an integrated CT scanner on a radiotherapy accelerator. Scanning angle (left to right): 200, 160 and 120 degrees.


Past and present collaborators

  • Professor Samuli Siltanen, University of Helsinki
  • Professor Matti Lassas, University of Helsinki
  • Professor Simon Arridge, University College London
  • Dr Matthias Ehrhardt, University of Cambridge

Recent publications


M. J. Ehrhardt, P. Markiewicz, M. Liljeroth, A. Barnes, V. Kolehmainen, J. S. Duncan, L. Pizarro, D. Atkinson, B. F. Hutton, S. Ourselin, K. Thielemans and S. R. Arridge
PET Reconstruction with an Anatomical MRI Prior using Parallel Level Sets
IEEE Transactions on Medical Imaging, 35(9): 2189.2199, 2016.


K. Hämäläinen, A. Kallonen, V. Kolehmainen, M. Lassas, K. Niinimäki, S. Siltanen
Sparse tomography
SIAM Journal on Imaging Sciences, 35(3): B644-B665, 2013.

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