Medical Physics and Engineering
Quantitative dynamic imaging of human physiology.
We develop methods for measuring human physiology with medical imaging—from image formation and tracer kinetics to quantitative measurements of organ function.
Our research combines dynamic and quantitative PET, physiological and kinetic modelling, image reconstruction and correction, quantitative image analysis, and scientific computing. We aim to turn complex imaging data into robust physiological measurements, computational tools and biomarkers for biomedical and clinical research.
Research areas
Our research spans the quantitative imaging pathway from physical measurement and image formation to physiological modelling, computational analysis and biomedical application. We work with both human and preclinical imaging data, developing methods that can be applied across experimental and clinical research.
Dynamic and quantitative PET
We develop and apply quantitative methods for dynamic PET, including tracer-kinetic and compartment modelling, parametric imaging and methods for extracting physiological information from dynamic imaging data.
Image formation and quantitative methodology
We study the factors that determine the accuracy and reliability of quantitative medical images. Our work includes image reconstruction, corrections, motion, image analysis, validation and methods for improving the reproducibility of quantitative imaging measurements.
Perfusion, metabolism and physiological imaging
We use quantitative imaging to investigate physiological processes such as blood flow, tissue perfusion and metabolism. Our work includes cardiovascular and multi-organ applications.
Computational imaging and research software
We develop computational methods and scientific software for quantitative imaging, including automated image analysis, high-performance and GPU computing, and data-driven methods where they provide meaningful solutions to imaging and physiological measurement problems.
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Our group
We bring together researchers working across medical imaging physics, quantitative image analysis, physiological modelling and computational methods.
Our researchers develop new imaging and analysis methods, apply them to human and preclinical data, and work with collaborators across medical imaging, clinical research and biomedical science.
Meet the group
Selected work
Our research produces quantitative imaging methods, physiological measurements and computational tools for biomedical and clinical research.
Quantitative imaging methods
We develop and validate methods for dynamic imaging, kinetic modelling, parametric imaging, reconstruction and quantitative analysis.
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Physiological and biomedical applications
We apply quantitative imaging to study perfusion, metabolism and other physiological processes in cardiovascular, organ and preclinical research.
See selected publications
Computational tools and software
We translate imaging methodology into reproducible computational workflows, automated analysis methods and research software.
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Work with us
We welcome opportunities to work with researchers, clinicians, students and technology partners who share an interest in quantitative medical imaging and physiological measurement.
Students and researchers
We provide opportunities for Master’s theses, doctoral research and postdoctoral collaboration across medical imaging physics, quantitative imaging, physiological modelling and computational methods.
Scientific and clinical collaboration
We collaborate on methodological and biomedical questions where quantitative imaging can provide new measurements, analytical approaches or tools.
Technology and methods
We are interested in collaborations that develop, validate or apply imaging methodology, computational tools and research software.
Join or collaborate with us
Medical Physics and Engineering
We are research group lead by Adj. Prof. Jarmo Teuho at the Turku PET Centre. We are happily working on improving quantitative medical imaging methodology, with our research closely knit together with the scientific environment, research and clinical imaging infrastructure.