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Peter Lundberg

Adjunct Professor

Adjunct professor in radiological science (RAD/DISP) focusing on quantitative magnetic resonance physics.

Medical Imaging Science

I research the function of various organs using modern quantitative imaging techniques and mathematical models. I am particularly interested in explaining the biological background of various diseases such as liver disease, cancer, neurological, and inflammatory diseases, as well as Federated Learning, particularly text-based AI.

Short texts

CV

  • Master of Science in Biophysical Methods/Nuclear Magnetic Resonance Physics, LTH
  • Technical Licentiate in bio-NMR, LTH
  • PhD in bio-NMR. University of Calgary, Canada
  • Senior Research Officer NMR, University of Sydney, Australia
  • University Lecturer/Docent NMR, Umeå University
  • Adjunct Professor of Magnetic Resonance Physics MR, Linköping University
  • Senior Chief Engineer MR-Physics, University Hospital in Linköping

Research area

Especially quantitative magnetic resonance (MR, MRS, and NMR)
Organ areas, diseases, others: MASLD, NASLD, HCC, MS, T2DM, brain tumors in children, text-based AI (patient records), federated learning (text), MR safety, work environment

Teaching assignments

  • Supervision of doctoral students
  • Supervision of master's students
  • Research training courses in Magnetic Resonance

Networks

  • International Society for Magnetic Resonance in Medicine (ISMRM)
  • European Society for Magnetic Resonance in Medicine and Biology (ESMRMB)
  • Center for Medical Imaging and Visualization (CMIV)
  • Swedish Society for Radiation Physics
  • Swedish Alliance for MR Safety (SAMS)

Publications

Cover of publication ''
Henrik Podéus, Christian Simonsson, Patrik Nasr, Mattias Ekstedt, Stergios Kechagias, Peter Lundberg, William Lövfors, Gunnar Cedersund (2024)
A physiologically-based digital twin for alcohol consumption-predicting real-life drinking responses and long-term plasma PEth

npj Digital Medicine , Vol.7 Continue to DOI

Cover of publication ''
Christian Simonsson, Elin Nyman, Peter Gennemark, Peter Gustafsson, Ingrid Hotz, Mattias Ekstedt, Peter Lundberg, Gunnar Cedersund (2024)
A unified framework for prediction of liver steatosis dynamics in response to different diet and drug interventions

Clinical Nutrition , Vol.43 , s.1532-1543 Continue to DOI

Cover of publication ''
Marie Byenfeldt, Johan Kihlberg, Patrik Nasr, Christer Groenlund, Anna Lindam, Wolf Bartholomä, Peter Lundberg, Mattias Ekstedt (2024)
Altered probe pressure and body position increase diagnostic accuracy for men and women in detecting hepatic steatosis using quantitative ultrasound

European Radiology , Vol.34 , s.5989-5999 Continue to DOI

2025

Wile Balkhed, Martin Bergram, Fredrik Iredahl, Markus Holmberg, Carl Edin, Carljohan Carlhäll, Tino Ebbers, Pontus Henriksson, Christian Simonsson, Karin Rådholm, Gunnar Cedersund, Mikael Forsgren, Olof Dahlqvist Leinhard, Cecilia Jönsson, Peter Lundberg, Stergios Kechagias, Nils Dahlström, Patrik Nasr, Mattias Ekstedt (2025) Evaluating the prevalence and severity of metabolic dysfunction-associated steatotic liver disease in patients with type 2 diabetes mellitus in primary care Journal of Internal Medicine (Article in journal) Continue to DOI
Wolf Bartholomä, Stefan Gilg, Peter Lundberg, Peter N. Larsen, Ville Sallinen, Malin Sternby Eilard, Jozef Urdzik, Gert Lindell, Torkel B. Brismar, Eva Fallentin, Ali Ovissi, Andreas Socratous, Tomas Bjerner, Sophie Kollbeck, Jens Tellman, Fredrik Holmquist, Nils Dahlström, Mischa Woisetschläger, Bergthor Björnsson, Ernesto Sparrelid, Per Sandström (2025) Magnetic resonance-derived hepatic uptake index improves the identification of patients at risk of severe post-hepatectomy liver failure British Journal of Surgery, Vol. 112, Article znaf103 (Article in journal) Continue to DOI
Jonas Agholme, Kim Ahtola, Ebba Toll, Carljohan Carlhäll, Pontus Henriksson, Stergios Kechagias, Peter Lundberg, Patrik Nasr, Oleg Sysoev, Magnus Wijkman, Mattias Ekstedt, Martin Ulander, Fredrik Iredahl (2025) Clinically available predictors of obstructive sleep apnoea requiring treatment in type 2 diabetes patients in primary care Scientific Reports, Vol. 15, Article 8710 (Article in journal) Continue to DOI
Iulian Emil Tampu, Tamara Bianchessi, Ida Blystad, Peter Lundberg, Per Nyman, Anders Eklund, Neda Haj-Hosseini (2025) Pediatric brain tumor classification using deep learning on MR-images with age fusion Neuro-Oncology Advances, Vol. 7, Article vdae205 (Article in journal) Continue to DOI
Iulian Emil Tampu, Per Nyman, Christoforos Spyretos, Ida Blystad, Alia Shamikh, Gabriela Prochazka, Teresita Díaz de Ståhl, Johanna Sandgren, Peter Lundberg, Neda Haj-Hosseini (2025) Pediatric brain tumor classification using digital pathology and deep learning: Evaluation of SOTA methods on a multi-center Swedish cohort Brain Pathology, Article e70029 (Article in journal) Continue to DOI

Coworkers

Placeholder for missing image of Stergios Kechagias

Stergios Kechagias

Professor

Photo of Anders Tisell

Anders Tisell
Photo of Susanna Walter

Susanna Walter

Adjunct Professor

Photo of Mattias Ekstedt

Mattias Ekstedt

Deputy Head of Department, Senior Associate Professor

Photo of Patrik Nasr

Patrik Nasr

Adjunct Associate Professor, Docent

Photo of Per Nyman

Per Nyman
Photo of Ida Blystad

Ida Blystad

Adjunct Associate Professor, Docent

Photo of Tino Ebbers

Tino Ebbers

Professor

Photo of Gunnar Cedersund

Gunnar Cedersund

Associate Professor, Docent

Photo of Arne Jönsson

Arne Jönsson

Professor Emeritus

Photo of Carl-Johan Carlhäll

Carl-Johan Carlhäll

Professor

Photo of Johan Kihlberg

Johan Kihlberg
Photo of Nils Dahlström

Nils Dahlström

Associate Professor, Head of Unit

Placeholder for missing image of Marcel Jan Bertus Warntjes

Marcel Jan Bertus Warntjes

Principal Research Engineer

Photo of Bijar Ghafouri

Bijar Ghafouri

Professor, Head of Unit

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Erik Ylipää

Senior Coordinator

Photo of Neda Haj Hosseini

Neda Haj Hosseini

Associate Professor, Docent

Placeholder for missing image of Shan Cai

Shan Cai

PhD student

Photo of Christian Simonsson

Christian Simonsson
Photo of Carl Fredholm

Carl Fredholm
Photo of Anna Ljusberg

Anna Ljusberg
Photo of Anders Carlsson

Anders Carlsson

Lecturer

Photo of Olof Dahlqvist Leinhard

Olof Dahlqvist Leinhard

Associate Professor

Photo of Mikael Forsgren

Mikael Forsgren

Adjunct Associate Professor

Research

Metabolic dysfunction-associated steatotic liver disease (MASLD)

Metabolic dysfunction-associated steatotic liver disease (MASLD) previously known as non-alcoholic fatty liver disease (NAFLD) is a chronic liver disease which has become the most common liver disease affecting adults and children.

Functional brain imaging

In our research group, we use combined fMRI-EEG and mathematical modelling in studies of brain function related to different mental states e.g., sleep, wakefulness, meditation, and pain.

Research Centres

Image of molecules that will take you to WCMM's homepage.

Wallenberg Centre for Molecular Medicine at LiU

WCMM at LiU focuses on the medicine-technology interface, and build upon our existing strengths in research within medical technology, materials science and bioengineering.
Two scientists are sitting infront of an MRI

Center for Medical Image Science and Visualization (CMIV)

CMIV conducts focused front-line research providing solutions to tomorrow’s clinical issues. The CMIV mission is to develop future methods and tools for image analysis and visualization for applications within health care and medical research.

News

Charlotta Dabrosin in the lab.

Possible biological explanation for increased cancer risk in dense breasts

The risk of developing breast cancer is higher in what are known as dense breasts. Researchers at LiU have now shown that there are major biological differences between dense breasts and nondense breasts.
Mattias Ekstedt, Nils Dahlström, Peter Lundberg, Bengt Norén and Patrik Nasr.

Liver examinations without needles

How is your liver doing? Decades of research into the use of magnet resonance imaging is now being put to work to gain information about patients’ livers – without needles.
Microscopy image of fat in the liver.

Magnetic resonance finds fatty liver

Taking tissue samples to diagnose fatty liver can be replaced in most cases by a painless magnetic resonance investigation, according to a new study.

Organisation

Photo of a MR camera. There is a blue light on the walls from the machine and there is a red, soft light coming from the middle of the machine.

Unit of Radiological Sciences

We conduct research in medical radiology and visualisation, radiation physics, radiochemistry and radioecology.
Illustration of the letters HMV

Department of Health, Medicine and Caring Sciences (HMV)

The research areas at HMV include experimental basic research to clinical, social and public health research. We conduct high-quality education in the sought-after care professions.
Five people in a laboratory.

Faculty of Medicine and Health Sciences (MEDFAK)

The Faculty of Medicine and Health Sciences conducts research and education within medicine, healthcare and public health.

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