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Staff photo Anders Garpebring

Anders Garpebring

Associate professor in radiation physics combined with employment as MR-physicist. My research is in imaging with focus on quantitative MRI, AI and radiotherapy applications.

Research qualifications: Docent

Works at

Affiliation
Associate professor, combined with clinical employment at Department of Diagnostics and Intervention Section: Biomedical engineering and Radiation Physics
Location
10C, plan 0, Norrlands universitetssjukhus Umeå universitet, 901 85 Umeå

Associate professor in radiation physics combined with employment as MR-physicist at the University Hospital of Umeå. Research in quantitative imaging, mainly magnetic resonance imaging (MRI) and its applications to radiation therapy.

Medical 3D imaging techniques such as computed tomography (CT), MRI and positron emission tomography (PET) are indispensable tools in today’s cancer care and central to modern radiotherapy. From diagnosis, to planning of radiotherapy, to follow up, imaging is used to get detailed high-resolution information about tumors and surrounding tissue. The more detailed the information is, the better one can adapt the radiation treatment to the target at hand and by that maximizing the chance for cure with reduced side-effects. There is a great potential in the use of MRI and PET to quantitatively measure tumor properties to yield three dimensional images of for instance blood flow, cell distributions and metabolism and subsequently use this to adapt the radiation treatment based on the tumor biology.

MRI is a versatile technology that can be made sensitive to many different tissue properties, for instance; cell density, cell orientation and cell size, blood flow, blood oxygenation, temperature and pH-value just to mention a few. However, there are also several challenges measuring these properties. There is always a trade-off between how fast a measurement can be performed and its precision due to noise. In addition, several undesired factors may also influence the accuracy of a measured property. For these reasons, I am interested in how one can efficiently estimate quantitative tissue properties from limited noisy data. Central to this research is also that the uncertainty is equally important as the in the estimated properties, since that determine the extent one can trust a measurement in a practical situation.

To get closer to the goal of enabling accurate measurements of tumor properties with known uncertainty as high-resolution images we are using a resource that in contrast to most other increases every year; namely computing power. The unprecedented development of computers in the last decades enables the use advanced statistical models and artificial intelligence to push the limit of what is possible with quantitative MRI. Our hope is that this research will lead to more individualized radiotherapy that improves the prognosis for patient treated for cancer.  

Journal of Cerebral Blood Flow and Metabolism, Sage Publications 2024, Vol. 44, (8) : 1343-1351
Björnfot, Cecilia; Eklund, Anders; Larsson, Jenny; et al.
Zeitschrift für Medizinische Physik, Elsevier 2024, Vol. 34, (2) : 270-277
Simkó, Attila; Bylund, Mikael; Jönsson, Gustav; et al.
Scientific Reports, Springer Nature 2024, Vol. 14, (1)
Vikner, Tomas; Garpebring, Anders; Björnfot, Cecilia; et al.
iRADIOLOGY, John Wiley & Sons 2023, Vol. 1, (4) : 390-396
Frankel, Jennifer; Hansson Mild, Kjell; Olsrud, Johan; et al.
Magnetic Resonance in Medicine, John Wiley & Sons 2023, Vol. 90, (6) : 2557-2571
Hellström, Max; Löfstedt, Tommy; Garpebring, Anders
Medical imaging with deep learning 2023, ML Research Press 2023 : 95-106
Simkó, Attila; Garpebring, Anders; Jonsson, Joakim; et al.
BMC Medical Imaging, BioMed Central (BMC) 2023, Vol. 23, (1)
Simkó, Attila; Ruiter, Simone; Löfstedt, Tommy; et al.
Proceedings of the 5th international conference on medical imaging with deep learning, ML Research Press 2022 : 1125-1138
Simkó, Attila; Löfstedt, Tommy; Garpebring, Anders; et al.
Journal of Cerebral Blood Flow and Metabolism, Sage Publications 2021, Vol. 41, (10) : 2769-2777
Björnfot, Cecilia; Garpebring, Anders; Qvarlander, Sara; et al.
Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR, Lübeck University; Hamburg University of Technology 2021 : 713-727
Simkó, Attila; Löfstedt, Tommy; Garpebring, Anders; et al.
Frontiers in Signal Processing, Frontiers Media S.A. 2021, Vol. 1
Wang, Jianfeng; Garpebring, Anders; Brynolfsson, Patrik; et al.
Physics and Imaging in Radiation Oncology, Elsevier 2020, Vol. 13 : 21-27
Adjeiwaah, Mary; Garpebring, Anders; Nyholm, Tufve
Physics in Medicine and Biology, Institute of Physics (IOP) 2020, Vol. 65, (22)
Löfstedt, Tommy; Hellström, Max; Bylund, Mikael; et al.
International Journal of Radiation Oncology, Biology, Physics, Elsevier 2019, Vol. 103, (4) : 994-1003
Adjeiwaah, Mary; Bylund, Mikael; Lundman, Josef A.; et al.
PLOS ONE, Public Library of Science 2019, Vol. 14, (2)
Löfstedt, Tommy; Brynolfsson, Patrik; Nyholm, Tufve; et al.
Communications in Statistics: Case Studies, Data Analysis and Applications, Taylor & Francis Group 2019, Vol. 5, (4) : 415-431
Wang, Jianfeng; Zhou, Zhiyong; Garpebring, Anders; et al.
Medical physics (Lancaster), John Wiley & Sons 2018, Vol. 45, (12) : 5450-5460
Bayisa, Fekadu; Liu, Xijia; Garpebring, Anders; et al.
Radiotherapy and Oncology, Elsevier 2018, Vol. 127 : S279-S280
Brynolfsson, Patrik; Löfstedt, Tommy; Asklund, Thomas; et al.
Radiotherapy and Oncology, Elsevier 2018, Vol. 127 : S283-S283
Bylund, Mikael; Jonsson, Joakim; Lundman, Josef; et al.
Radiotherapy and Oncology, Elsevier 2018, Vol. 127 : S339-S339
Garpebring, Anders
Physics in Medicine and Biology, Institute of Physics and Engineering in Medicine 2018, Vol. 63, (19) : 9-15
Garpebring, Anders; Brynolfsson, Patrik; Kuess, Peter; et al.
Magnetic Resonance in Medicine, John Wiley & Sons 2018, Vol. 79, (1) : 561-567
Garpebring, Anders; Tommy, Löfstedt
Scientific Reports, Nature Publishing Group 2017, Vol. 7
Brynolfsson, Patrik; Nilsson, David; Torheim, Turid; et al.
Physics and Imaging in Radiation Oncology, Elsevier 2017, Vol. 1 : 41-45
Lundman, Josef Axel; Bylund, Mikael; Garpebring, Anders; et al.
Wang, Jianfeng; Zhou, Zhiyong; Garpebring, Anders; et al.
Magnetic Resonance Imaging, Elsevier 2017, Vol. 37 : 16-20
Wermer, Marieke J. H.; van Walderveen, Marianne A. A.; Garpebring, Anders; et al.
Magnetic Resonance in Medicine, Vol. 78 : 1373-1382
Wezel, Joep; Boer, Vincent O.; van der Velden, Tijl A.; et al.
Magnetic Resonance in Medicine, John Wiley & Sons 2017, Vol. 78, (1) : 165-171
Wezel, Joep; Garpebring, Anders; Webb, Andrew G.; et al.
Proceedings of the 8th International Workshop on Spatio-Temporal Modelling : 217-217
Wang, Jianfeng; Garpebring, Anders; Brynolfsson, Patrik; et al.
Magnetic Resonance in Medicine, Wiley-Blackwell 2015, Vol. 74, (4) : 1156-1164
Brynolfsson, Patrik; Yu, Jun; Wirestam, Ronnie; et al.
Journal of Nuclear Medicine Technology, Vol. 43, (1) : 53-60
Häggström, Ida; Axelsson, Jan; Schmidtlein, Ross; et al.
Medical physics (Lancaster), Vol. 41, (10) : 101903-
Brynolfsson, Patrik; Nilsson, David; Henriksson, Roger; et al.
Medical physics (Lancaster), Vol. 41, (8) : 474-480
Johansson, Adam; Garpebring, Anders; Asklund, Thomas; et al.
Magnetic Resonance in Medicine, Wiley-Blackwell 2013, Vol. 69, (4) : 992-1002
Garpebring, Anders; Brynolfsson, Patrik; Yu, Jun; et al.
ISMRM 20th Annual Meeting & Exhibition, 5-11 May 2012, Melbourne, Australia
Garpebring, Anders; Brynolfsson, Patrik; Yu, Jun; et al.
IEEE Nuclear Science Symposium Conference Record, Anaheim: IEEE conference proceedings 2012 : 3101-3107
Häggström, Ida; Larsson, Anne; Axelsson, Jan; et al.
International Journal of Radiation Oncology, Biology, Physics, Vol. 82, (5) : 1612-1618
Jonsson, Joakim H; Garpebring, Anders; Karlsson, Magnus G; et al.
Umeå University medical dissertations, 1457
Garpebring, Anders
Magnetic Resonance Materials in Physics, Biology and Medicine, Springer 2011, Vol. 24, (4) : 233-245
Garpebring, Anders; Wirestam, Ronnie; Yu, Jun; et al.
Magnetic Resonance in Medicine, Wiley 2011, Vol. 65, (6) : 1670-1679
Garpebring, Anders; Wirestam, Ronnie; Östlund, Nils; et al.
Radiation Oncology, Vol. 6, (1) : 73-
Jonsson, Joakim H; Brynolfsson, Patrik; Garpebring, Anders; et al.
Neuro-Oncology, Vol 12, Supplement 3, 2010
Asklund, Thomas; Nyholm, Tufve; Garpebring, Anders; et al.
IEEE Transactions on Medical Imaging, Vol. 28, (9) : 1375-1383
Garpebring, Anders; Östlund, Nils; Karlsson, Mikael
Adjeiwaah, Mary; Lundman, Josef A.; Garpebring, Anders; et al.
Bayisa, Fekadu L.; Liu, Xijia; Garpebring, Anders; et al.
Frankel, Jennifer; Hansson Mild, Kjell; Olsrud, Johan; et al.
Wants to reduce debris and interference in X-rays

Anders Garpebring wants to get sharper and clearer results from images of cancerous tumors, with help of AI.