Browsing Bergen Open Research Archive by Author "Hodneland, Erlend"

Now showing items 1-20 of 22

    • The association of PTSD symptom severity with amygdala nuclei volumes in traumatized youths 

      Ousdal, Olga Therese; Milde, Anne Marita; Hafstad, Gertrud Sofie; Hodneland, Erlend; Dyb, Grete; Craven, Alexander R.; Melinder, Annika Maria D; Endestad, Tor; Hugdahl, Kenneth (Journal article; Peer reviewed, 2020)
      The amygdala is a core component in neurobiological models of stress and stress-related pathologies, including post-traumatic stress disorder (PTSD). While numerous studies have reported increased amygdala activity following ...

    • Automated segmentation of endometrial cancer on MR images using deep learning 

      Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Solteszova, Veronika; Zanna, Antonella; Fasmer, Kristine Eldevik; Krakstad, Camilla; Lundervold, Arvid; Lundervold, Alexander Selvikvåg; Salvesen, Øyvind; Erickson, Bradley J.; Haldorsen, Ingfrid S. (Journal article; Peer reviewed, 2021)
      Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses ...

    • Biomedical Image Processing in the Study of Living Cells 

      Hodneland, Erlend (Doctoral thesis, 2008-12-09)

    • CellSegm - a MATLAB toolbox for high-throughput 3D cell segmentation 

      Hodneland, Erlend; Kögel, Tanja; Frei, Dominik M.; Gerdes, Hans-Hermann; Lundervold, Arvid (Peer reviewed; Journal article, 2013-08-09)
      The application of fluorescence microscopy in cell biology often generates a huge amount of imaging data. Automated whole cell segmentation of such data enables the detection and analysis of individual cells, where a manual ...

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

      Hanson, Erik Andreas; Sandmann, Constantin; Malyshev, Alexander; Lundervold, Arvid; Modersitzki, Jan; Hodneland, Erlend (Peer reviewed; Journal article, 2018-07-20)
      One-compartment models are widely used to quantify hemodynamic parameters such as perfusion, blood volume and mean transit time. These parameters are routinely used for clinical diagnosis and monitoring of disease development ...

    • Flow cytometry-based functional selection of RNA interference triggers for efficient epi-allelic analysis of therapeutic targets 

      Micklem, David Robert; Blø, Magnus; Bergström, Petra; Hodneland, Erlend; Tiron, Crina Elena; Høiby, Torill; Gjerdrum, Christine; Hammarsten, Ola; Lorens, James B. (Peer reviewed; Journal article, 2014-06-21)
      Background: The dose-response relationship is a fundamental pharmacological parameter necessary to determine therapeutic thresholds. Epi-allelic hypomorphic analysis using RNA interference (RNAi) can similarly correlate ...

    • Fractional anisotropy shows differential reduction in frontal-subcortical fiber bundles - A longitudinal MRI study of 76 middle-aged and older adults 

      Vik, Alexandra; Hodneland, Erlend; Haász, Judit; Ystad, Martin Andreas; Lundervold, Astri; Lundervold, Arvid (Peer reviewed; Journal article, 2015-05-15)
      Motivated by the frontal- and white matter (WM) retrogenesis hypotheses and the assumptions that fronto-striatal circuits are especially vulnerable in normal aging, the goal of the present study was to identify fiber bundles ...

    • Fully Automatic Whole-Volume Tumor Segmentation in Cervical Cancer 

      Hodneland, Erlend; Kaliyugarasan, Sathiesh Kumar; Wagner-Larsen, Kari Strøno; Lura, Njål Gjærde; Andersen, Erling; Bartsch, Hauke; Smit, Noeska Natasja; Halle, Mari Kyllesø; Krakstad, Camilla; Lundervold, Alexander Selvikvåg; Haldorsen, Ingfrid S. (Journal article; Peer reviewed, 2022-05-11)
      Uterine cervical cancer (CC) is the most common gynecologic malignancy worldwide. Whole-volume radiomic profiling from pelvic MRI may yield prognostic markers for tailoring treatment in CC. However, radiomic profiling ...

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

      Hanson, Erik Andreas; Hodneland, Erlend; Lorentzen, Rolf Johan; Nævdal, Geir; Nordbotten, Jan Martin; Sævareid, Ove; Zanna, Antonella (Lecture Notes in Computational Science and Engineering, Chapter; Peer reviewed; Journal article, 2019)
      Starting with the discovery of X-rays by Röntgen in 1895, the progress in medical imaging has been extraordinary and immensely beneficial to diagnosis and therapy. Parallel to the increase of imaging accuracy, there is the ...

    • Modeling a 3-D multiscale blood-flow and heat-transfer framework for realistic vascular systems 

      Amare, Rohan; Hodneland, Erlend; Roberts, Jeremy A.; Bahadori, Amir A.; Eckels, Steven (Journal article; Peer reviewed, 2022)
      Modeling of biological domains and simulation of biophysical processes occurring in them can help inform medical procedures. However, when considering complex domains such as large regions of the human body, the complexities ...

    • MRI-based radiomic signatures for pretreatment prognostication in cervical cancer 

      Wagner-Larsen, Kari Strøno; Hodneland, Erlend; Fasmer, Kristine Eldevik; Lura, Njål; Woie, Kathrine; Bertelsen, Bjørn; Salvesen, Øyvind Olav; Halle, Mari Kyllesø; Smit, Noeska Natasja; Krakstad, Camilla; Haldorsen, Ingfrid S. (Journal article; Peer reviewed, 2023)
      Background Accurate pretherapeutic prognostication is important for tailoring treatment in cervical cancer (CC). Purpose To investigate whether pretreatment MRI-based radiomic signatures predict disease-specific ...

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

      Hodneland, Erlend; Hanson, Erik Andreas; Sævareid, Ove; Nævdal, Geir; Lundervold, Arvid; Solteszova, Veronika; Zanna, Antonella; Deistung, Andreas; Reichenbach, Jürgen; Nordbotten, Jan Martin (Peer reviewed; Journal article, 2019-06-25)
      A large variety of severe medical conditions involve alterations in microvascular circulation. Hence, measurements or simulation of circulation and perfusion has considerable clinical value and can be used for diagnostics, ...

    • Normalized gradient fields for nonlinear motion correction of DCE-MRI time series 

      Hodneland, Erlend; Lundervold, Arvid; Rørvik, Jarle; Munthe-Kaas, Antonella Zanna (Peer reviewed; Journal article, 2014-04)
      Dynamic MR image recordings (DCE-MRI) of moving organs using bolus injections create two differenttypes of dynamics in the images: (i) spatial motion artifacts due to patient movements, breathing andphysiological pulsations ...

    • Novel microscopy-based screening method reveals regulators of contact-dependent intercellular transfer 

      Frei, Dominik Michael; Hodneland, Erlend; Rios-Mondragon, Ivan; Burtey, Anne Pierrette; Neumann, B; Bulkescher, Jutta; Schölermann, Julia; Pepperkok, Rainer; Gerdes, Hans-Hermann; Kögel, Tanja (Peer reviewed; Journal article, 2015-08-14)
      Contact-dependent intercellular transfer (codeIT) of cellular constituents can have functional consequences for recipient cells, such as enhanced survival and drug resistance. Pathogenic viruses, prions and bacteria can ...

    • PDE Based Algorithms for Smooth Watersheds 

      Hodneland, Erlend; Tai, Xue-Cheng; Kalisch, Henrik (Peer reviewed; Journal article, 2016-04)
      Watershed segmentation is useful for a number of image segmentation problems with a wide range of practical applications. Traditionally, the tracking of the immersion front is done by applying a fast sorting algorithm. In ...

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

      Lorentzen, Rolf Johan; Nævdal, Geir; Sævareid, Ove; Hodneland, Erlend; Hanson, Erik Andreas; Munthe-Kaas, Antonella Zanna (Journal article; Peer reviewed, 2023)
      The measurement of perfusion and filtration of blood in biological tissue give rise to important clinical parameters used in diagnosis, follow-up, and therapy. In this paper, we address techniques for perfusion analysis ...

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

      Hodneland, Erlend; Hanson, Erik Andreas; Munthe-Kaas, Antonella Z.; Lundervold, Arvid; Nordbotten, Jan Martin (Peer reviewed; Journal article, 2016-10)
      Objective: Medical image registration can be formulated as a tissue deformation problem, where parameter estimation methods are used to obtain the inverse deformation. However, there is limited knowledge about the ability ...

    • A radiogenomics application for prognostic profiling of endometrial cancer 

      Høivik, Erling Andre; Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Fasmer, Kristine Eldevik; Berg, Hege Fredriksen; Halle, Mari Kyllesø; Haldorsen, Ingfrid S.; Krakstad, Camilla (Journal article; Peer reviewed, 2021)
      Prognostication is critical for accurate diagnosis and tailored treatment in endometrial cancer (EC). We employed radiogenomics to integrate preoperative magnetic resonance imaging (MRI, n = 487 patients) with histologic-, ...

    • Segmentation-Driven Image Registration-Application to 4D DCE-MRI Recordings of the Moving Kidneys 

      Hodneland, Erlend; Hanson, Erik Andreas; Lundervold, Arvid; Modersitzki, Jan; Eikefjord, Eli Bjøvad; Zanna, Antonella (Peer reviewed; Journal article, 2014-04-01)
      Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) of the kidneys requires proper motion correction and segmentation to enable an estimation of glomerular filtration rate through pharmacokinetic modeling. ...

    • Semi-automatic 3D morphological reconstruction of neurons with densely branching morphology: Application to retinal AII amacrine cells imaged with multi-photon excitation microscopy 

      Zandt, Bas-Jan; Losnegård, Are; Hodneland, Erlend; Veruki, Margaret Lin; Lundervold, Arvid; Hartveit, Espen (Peer reviewed; Journal article, 2017-03)
      Background: Accurate reconstruction of the morphology of single neurons is important for morphometric studies and for developing compartmental models. However, manual morphological reconstruction can be extremely time-consuming ...