A 3-D model-based registration approach for the PET, MR and MCG cardiac data fusion

Timo Mäkelä (Corresponding Author), Quoc Cuong Pham, Patrick Clarysse, Jukka Nenonen, Jyrki Lötjönen, Outi Sipilä, Helena Hänninen, Kirsi Lauerma, Juhani Knuuti, Toivo Katila, Isabelle E. Magnin

Research output: Contribution to journalArticleScientificpeer-review

45 Citations (Scopus)


In this paper, a new approach is presented for the assessment of a 3-D anatomical and functional model of the heart including structural information from magnetic resonance imaging (MRI) and functional information from positron emission tomography (PET) and magnetocardiography (MCG). The method uses model-based co-registration of MR and PET images and marker-based registration for MRI and MCG. Model-based segmentation of MR anatomical images results in an individualized 3-D biventricular model of the heart including functional parameters from PET and MCG in an easily interpretable 3-D form.
Original languageEnglish
Pages (from-to)377-389
JournalMedical Image Analysis
Issue number3
Publication statusPublished - 2003
MoE publication typeA1 Journal article-refereed



  • coronary heart disease
  • heart failure
  • myocardial perfusion
  • myocardial infarct
  • PET
  • MRI
  • 3D modelling
  • 3D-imaging
  • magnetic resonance imaging

Cite this

Mäkelä, T., Pham, Q. C., Clarysse, P., Nenonen, J., Lötjönen, J., Sipilä, O., Hänninen, H., Lauerma, K., Knuuti, J., Katila, T., & Magnin, I. E. (2003). A 3-D model-based registration approach for the PET, MR and MCG cardiac data fusion. Medical Image Analysis, 7(3), 377-389. https://doi.org/10.1016/S1361-8415(03)00012-4