Erik Andreas Hanson

Publikasjonar

• Perfusion estimation using synthetic MRI-based measurements and a porous media flow model

  Rolf Johan Lorentzen, Geir Nævdal, Ove Sævareid, Erlend Hodneland, Erik Andreas Hanson, Antonella Zanna Munthe-Kaas (2023)
  PLoS Computational Biology 2023 ;Volum 19.

• A nonlinear multi-scale model for blood circulation in a realistic vascular system

  Ulin Nuha Abdul Qohar, Antonella Zanna Munthe-Kaas, Jan Martin Nordbotten, Erik Andreas Hanson (2021)
  Royal Society Open Science 2021 ;Volum 8.

• A computational fluid dynamics framework to generate digital reference objects for perfusion imaging

  Ulin Nuha Abdul Qohar, Steven Sourbron, Antonella Zanna Munthe-Kaas, Erik Andreas Hanson (2021)

• Computational Study of Vessel Occlusion using a Nonlinear Multiscale Blood Flow Model

  Ulin Nuha Abdul Qohar, Erik Andreas Hanson, Jan Martin Nordbotten, Antonella Zanna Munthe-Kaas (2021)

• A multi-scale flow model for studying blood circulation in the vascular system

  Ulin Nuha Abdul Qohar, Antonella Zanna, Jan Martin Nordbotten, Erik Andreas Hanson (2019)

• A study of blood flow regulation on collateral circulation using multiscale flow model

  Ulin Nuha Abdul Qohar, Antonella Zanna, Jan Martin Nordbotten, Erik Andreas Hanson (2019)

• Fractal vascular structure optimization based on a multi-scale blood flow model

  Ulin Nuha Abdul Qohar, Antonella Zanna, Jan Martin Nordbotten, Erik Andreas Hanson (2019)

• A new framework for assessing subject-specific whole brain circulation and perfusion using MRI-based measurements and a multi-scale continuous flow model

  Erlend Hodneland, Erik Andreas Hanson, Ove Sævareid, Geir Nævdal, Arvid Lundervold, Veronika Solteszova (2019)
  PLoS Computational Biology 2019 ;Volum 15:e1007073. s. 1-31

• Mathematics and Medicine: How mathematics, modelling and simulations can lead to better diagnosis and treatments

  Erik Andreas Hanson, Erlend Hodneland, Rolf Johan Lorentzen, Geir Nævdal, Jan Martin Nordbotten, Ove Sævareid (2019)
  Lecture Notes in Computational Science and Engineering 2019 ;Volum 126. s. 66-82

• Mathematical perfusion

  Erik Andreas Hanson (2018)

• In vivo detection of chronic kidney disease using tissue deformation fields from dynamic MR imaging.

  Erlend Hodneland, Eirik Keilegavlen, Erik Andreas Hanson, Erling Andersen, Jan Anker Monssen, Jarle Rørvik v/dødsbo (2018)
  IEEE Transactions on Biomedical Engineering 2018 ;Volum 66. s. 1779-1790

• Estimating the discretization dependent accuracy of perfusion in coupled capillary flow measurements

  Erik Andreas Hanson, Constantin Sandmann, Alexander Malyshev, Arvid Lundervold, Jan Modersitzki, Erlend Hodneland (2018)
  PLOS ONE 2018 ;Volum 13. s. 1-16

• Models suited for data assimilation

  Erik Andreas Hanson (2017)

• Graph representations of vessel flow

  Erik Andreas Hanson (2017)

• Modelling of brain perfusion

  Erlend Hodneland, Erik Andreas Hanson (2017)

• Workflow sensitivity of post-processing methods in renal DCE-MRI

  Erik Andreas Hanson, Eli Bjøvad Eikefjord, Jarle Rørvik, Erling Andersen, Arvid Lundervold, Erlend Hodneland (2017)
  Magnetic Resonance Imaging 2017 ;Volum 42. s. 60-68

• Dynamic contrast-enhanced MRI measurement of renal function in healthy participants

  Eli Bjøvad Eikefjord, Erling Andersen, Erlend Hodneland, Erik Andreas Hanson, Steven Sourbron, Einar Svarstad (2016)
  Acta Radiologica 2016 ;Volum 58. s. 748-757

• Physical models for simulation and reconstruction of human tissue deformation fields in dynamic MRI

  Erlend Hodneland, Erik Andreas Hanson, Antonella Zanna, Arvid Lundervold, Jan Martin Nordbotten (2016)
  IEEE Transactions on Biomedical Engineering 2016 ;Volum 63. s. 2200-2210

• Reproducibility and agreement in quantification of renal function using 1.5-T DCE-MRI

  Eli Bjøvad Eikefjord, Erling Andersen, Arvid Lundervold, Erlend Hodneland, Jan Anker Monssen, Erik Andreas Hanson (2015)

• Poroelastic regularization of image registration

  Erik Andreas Hanson, Erlend Hodneland, Antonella Zanna, Arvid Lundervold (2014)

• Image processing methods for 4D magnetic resonance acquisitions from brain and kidney

  Erik Andreas Hanson (2014)
  Universitetet i Bergen

• Segmentation-driven image registration-application to 4D DCE-MRI recordings of the moving kidneys

  Erlend Hodneland, Erik Andreas Hanson, Arvid Lundervold, Jan Modersitzki, Eli Bjøvad Eikefjord, Antonella Zanna (2014)
  IEEE Transactions on Image Processing 2014 ;Volum 23. s. 2392-2404

• Local/non-local regularized image segmentation using graph-cuts

  Erik Andreas Hanson, Arvid Lundervold (2013)
  International Journal of Computer Assisted Radiology and Surgery 2013 ;Volum 8. s. 1073-1084

• Combined motion correction and segmentation of DCE-MRI kidney data

  Erlend Hodneland, Erik Andreas Hanson, Arvid Lundervold, Jan Modersitzki, Antonella Zanna Munthe-Kaas (2013)
  Acta Radiologica 2013 ;Volum 54. s. 7-8