Blar i Bergen Open Research Archive på forfatter "Lundervold, Arvid"
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A multi-layer perceptron network for perfusion parameter estimation in DCE-MRI studies of the healthy kidney
Klepaczko, Artur; Strzelecki, Michał; Kociołek, Marcin; Eikefjord, Eli Bjøvad; Lundervold, Arvid (Journal article; Peer reviewed, 2020)Background: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is an imaging technique which helps in visualizing and quantifying perfusion—one of the most important indicators of an organ’s state. This paper ... -
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 ... -
An overview of deep learning in medical imaging focusing on MRI
Lundervold, Alexander Selvikvåg; Lundervold, Arvid (Peer reviewed; Journal article, 2018-12-13)What has happened in machine learning lately, and what does it mean for the future of medical image analysis? Machine learning has witnessed a tremendous amount of attention over the last few years. The current boom started ... -
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 ... -
Post-adolescent developmental changes in cortical complexity
Sandu, Anca-Larisa; Izard, Edouard; Specht, Karsten; Beneventi, Harald; Lundervold, Arvid; Ystad, Martin (Peer reviewed; Journal article, 2014-11-27)Background: Post-adolescence is known to be a period of general maturation and development in the human brain. In brain imaging, volumetric and morphologic cortical grey-matter changes can easily be assessed, but the ... -
A psychological symptom based machine learning model for clinical evaluation of irritable bowel syndrome
Haleem, Noman; Lundervold, Astri J.; Lied, Gülen Arslan; Randulff Hillestad, Eline Margrethe; Bjorkevoll, Maja; Bjørsvik, Ben René; Teige, Erica; Brønstad, Ingeborg; Steinsvik, Elisabeth Kjelsvik; Nagaraja, Bharath Halandur; Hausken, Trygve; Jacobsen, Birgitte Berentsen; Lundervold, Arvid (Journal article; Peer reviewed, 2023)Background: Irritable bowel syndrome (IBS) is a chronic functional gastrointestinal disorder characterized by recurrent abdominal pain associated with alterations in stool form and/or stool frequency. Co-morbidities such ... -
Random Forest ensembles for detection and prediction of Alzheimer's disease with a good between-cohort robustness
Lebedev, Alexander; Westman, Eric; Westen, G. J. P. Van; Kramberger, M. G.; Lundervold, Arvid; Aarsland, Dag; Soininen, H.; Kłoszewska, I.; Mecocci, P.; Tsolaki, M.; Vellas, B.; Lovestone, S.; Simmons, Andrew (Peer reviewed; Journal article, 2014)Computer-aided diagnosis of Alzheimer's disease (AD) is a rapidly developing field of neuroimaging with strong potential to be used in practice. In this context, assessment of models' robustness to noise and imaging protocol ... -
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 ... -
Sequential bortezomib and temozolomide treatment promotes immunological responses in glioblastoma patients with positive clinical outcomes: A phase 1B study
Rahman, Mohummad Aminur; Brekke, Jorunn; Arnesen, Victoria Smith; Hannisdal, Marianne; Navarro, Andrea Gras; Waha, Andreas; Herfindal, Lars; Rygh, Cecilie Brekke; Bratland, Eirik; Brandal, Petter; Haász, Judit; Oltedal, Leif; Miletic, Hrvoje; Lundervold, Arvid; Lie, Stein Atle; Goplen, Dorota; Chekenya, Martha (Journal article; Peer reviewed, 2020)Background Glioblastoma (GBM) is an aggressive malignant brain tumor where median survival is approximately 15 months after best available multimodal treatment. Recurrence is inevitable, largely due to O6 methylguanine ... -
Study protocol of the Bergen brain-gut-microbiota-axis study: A prospective case-report characterization and dietary intervention study to evaluate the effects of microbiota alterations on cognition and anatomical and functional brain connectivity in patients with irritable bowel syndrome
Berentsen, Birgitte; Nagaraja, Bharath Halandur; Teige, Erica Persson; Lied, Gülen Arslan; Lundervold, Astri; Lundervold, Katarina; Steinsvik, Elisabeth Kjelsvik; Hillestad, Eline Margrete Randulff; Valeur, Jørgen; Brønstad, Ingeborg; Gilja, Odd Helge; Osnes, Berge; Hatlebakk, Jan Gunnar; Haász, Judit; Labus, Jennifer; Gupta, Arpana; Mayer, Emeran; Benitez-Páez, Alfonso; Sanz, Yolanda; Lundervold, Arvid; Hausken, Trygve (Journal article; Peer reviewed, 2020-09)Introduction: Irritable bowel syndrome (IBS) is a common clinical label for medically unexplained gastrointestinal (GI) symptoms, recently described as a disturbance of the brain-gut-microbiota (BGM) axis. To gain a ...