- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Pregnancy and preeclampsia studies
- Cardiac Imaging and Diagnostics
- Breast Lesions and Carcinomas
- Prenatal Screening and Diagnostics
- Advanced X-ray and CT Imaging
- Advanced Neuroimaging Techniques and Applications
- Colorectal Cancer Surgical Treatments
- Breast Cancer Treatment Studies
- NMR spectroscopy and applications
- Birth, Development, and Health
- AI in cancer detection
- Urinary Tract Infections Management
- Digital Radiography and Breast Imaging
- Medical Imaging Techniques and Applications
- Neonatal and fetal brain pathology
- Liver Disease Diagnosis and Treatment
- Maternal and Perinatal Health Interventions
- Acute Myocardial Infarction Research
- Cardiac Ischemia and Reperfusion
- Functional Brain Connectivity Studies
- Advanced Neural Network Applications
- Gestational Diabetes Research and Management
Akershus University Hospital
2016-2025
Norwegian University of Science and Technology
2023
Ålesund Hospital
2013-2022
University of Oslo
1976-2020
University Medical Center Groningen
2019
Haraldsplass Diakonale Sykehus
2007
Oslo University Hospital
2003-2004
Haukeland University Hospital
1995
UiT The Arctic University of Norway
1976
Abstract Background To study deep learning segmentation of knee anatomy with 13 anatomical classes by using a magnetic resonance (MR) protocol four three-dimensional (3D) pulse sequences, and evaluate possible clinical usefulness. Methods The sample selection involved 40 healthy right volumes from adult participants. Further, recently injured single left previous known ACL reconstruction was included as test subject. MR consisted the following 3D sequences: T1 TSE, PD FS Angio GE. DenseVNet...
Our objective was to study the association of placental size, fetal and size relative (placental ratio) at gestational week 27 with time spontaneous delivery. We included 100 pregnancies in a follow-up from until Placental volume (in cm3) were measured by magnetic resonance imaging (MRI), ratio volume/fetal volume) delivery after onset labor estimated as hazard ratios (HR) applying Cox regression models. Pregnancies deliveries planned cesarean section or induction provided these events. An...
To investigate the T2 decay in prostate tissue for multiexponentiality and to assess how biexponential model relates established T2W contrast.A 32-echo spin-echo sequence was performed on 16 volunteers. Six single-voxel curves were sampled from each prostate. Prediction accuracies assessed by jackknifing mono-, bi-, triexponential models. The differences evaluated cross-validated analysis of variance (CVANOVA). Multiple linear regression relation between parameters contrast images.Mono-,...
Abstract Segmentation of the breast region in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is essential for automatic measurement density and quantitative analysis findings. This study aims to compare various deep learning methods enhance whole segmentation reduce computational costs as well environmental effect future research. We collected fifty-nine DCE-MRI scans from Stavanger University Hospital and, after preprocessing, analyzed fifty-eight scans. The preprocessing...
Purpose To implement a dynamic contrast-based multi-echo MRI sequence in assessment of rectal cancer and evaluate associations between histopathologic data the acquired contrast-enhanced (DCE) susceptibility contrast (DSC) -MRI parameters. Materials Methods This pilot study reports results from 17 patients with resectable cancer. Dynamic (1.5T) was using three-dimensional multi-shot EPI sequence, yielding both DCE- DSC-data following single injection agent. The Institutional Review Board...
To assess image quality, vessel visualization, preliminary diagnostic properties, and interobserver variability of a novel balanced turbo field echo (b-TFE) sequence contrast-enhanced T1 fast (CE-FFE) with blood pool agent (BPA).A total 15 healthy volunteers six patients ultrasound-verified proximal deep vein thrombosis (DVT) were examined from the inferior vena cava (IVC) to calf veins.The great majority veins completely visualized on both sequences. In IVC was in five b-TFE 11 CE-FFE...
We aimed to provide percentiles of intrauterine placental growth and relative fetal (placental ratio) by measuring volumes magnetic resonance imaging (MRI). In this prospective study, 107 unselected singleton pregnancies were examined MRI at gestational week 27 37. Based on the estimated placenta fetus, we calculated median weeks Median volume was 513 cm3 (Inter Quartile Range (IQR) 182 cm3), 831 (IQR 252 cm3) The 10th – 90th included between 392 717 27, 631–1087 ratio significantly higher...
Background MRI is the standard tool for rectal cancer staging. However, more precise diagnostic tests that can assess biologic tumor features decisive treatment outcome are necessary. Tumor perfusion and hypoxia two important features; however, no reference methods measure these exist in clinical use. Purpose To potential predictive prognostic value of MRI-assessed perfusion, as a surrogate hypoxia, local response survival. Materials Methods In this prospective observational cohort study, 94...
Background Dynamic contrast‐based MRI and intravoxel incoherent motion imaging (IVIM) are both methods showing promise as diagnostic prognostic tools in rectal cancer. Both aim at measuring perfusion‐related parameters, but the relationship between them is unclear. Purpose To investigate perfusion‐ permeability‐related parameters obtained by IVIM‐MRI, T 1 ‐weighted dynamic contrast‐enhanced (DCE)‐MRI 2 *‐weighted susceptibility contrast (DSC)‐MRI. Study Type Prospective. Subjects In all, 94...
To assess the accuracy of magnetic resonance imaging (MRI) measurements in locally advanced oestrogen receptor-positive and human epidermal growth factor receptor 2-negative breast tumours before, during after neoadjuvant endocrine treatment (NET) for evaluation tumour response comparison with clinical pathological assessments.This prospective study enrolled postmenopausal patients treated letrozole exemestane given sequentially an intra-patient cross-over regimen. Fifty-four were initially...
Accurately identifying the pixels of small organs or lesions from magnetic resonance imaging (MRI) has a critical impact on clinical diagnosis. U-net is most well-known and commonly used neural network for image segmentation. However, anatomical structures in medical images cannot be well recognised by U-net. This paper explores performance architectures knee MRI segmentation to find relative structure that can obtain high accuracies both large structures. To maximise utilities architecture,...
To test the feasibility of a novel "split dynamic" method in which high temporal and spatial resolution dynamic MR images are acquired during single bolus injection.High were using three-dimensional (3D) dual-echo EPI sequence. The 3D T1 -weighted turbo field echo Simulations performed to split terms accuracy relative continuous acquisition for sampling requirements accurate estimation kinetic parameters. was tested four patients where pharmacokinetic parameters extracted from data.The...
Measuring rectal tumour response to radiation is pivotal restaging patients and for possibly stratification a watch-and-wait strategy. Recognizing the importance of microenvironment, we investigated less explored quantitative imaging marker assessing blood flow (BF) its potential predict overall survival (OS).24 cancer given curative-intent neoadjuvant radiotherapy underwent multi-echo dynamic magnetic resonance (MRI) sequence with gadolinium contrast quantification BF before either 25x2 Gy...
To investigate the contrast of three-dimensional balanced steady state free precession (3D bSSFP) in two component T2 model and to apply results optimize 3D bSSFP for prostate imaging at 1.5 Tesla.In each seven healthy volunteers, six acquisitions were performed with flip angles (alpha) equally spaced between 10 degrees 110 . Predictions signal obtained from synthetic images calculated relaxation parameters a multi-spin-echo acquisition. One biexponential monoexponential models applied....
Purpose To test the split dynamic magnetic resonance imaging (MRI) technique in assessment of breast masses which high spatial resolution and dual-echo temporal data are acquired during a single bolus injection. Materials Methods Forty-four women with were examined using MRI. Quantitative analysis was performed pharmacokinetic modeling on T1-weighted images estimation maximum peak change R2* (R2*-peakenh). High interpreted by two radiologists Breast Imaging Reporting Data System (BI-RADS)....
Purpose: To evaluate the potential of dynamic contrast enhanced (DCE) 3D EPI in location prostate cancer. Material and Methods: A DCE scan was included magnetic resonance imaging protocol for examination. Twenty‐eight patients who subsequently underwent radical prostatectomy were study. T2‐weighted (T2W) Turbo Spin Echo (TSE) images initially evaluated by two radiologists. Parametric reflecting enhancement added new evaluations performed. The results compared with histology from resected...
Magnetic resonance cholangiopancreaticography (MRCP) is commonly used to evaluate the pancreatic (PD) and common bile duct (CBD), addition of secretin obtain functional information (S-MRCP). Neither method gives any on flow velocities within ducts.To a new, MRI diffusion-based, slow-flow-sensitive sequence for detection slow changes in PD CBD.Seven healthy volunteers were examined. A modified single-shot turbo spin-echo was detect changes. Three b factors (0, 6, 12 s/mm(2)) used. The...
Abstract Purpose To correlate MRI morphological response patterns with histopathological tumor regression grading system based on cellularity in locally advanced breast cancer (LABC)-treated neoadjuvant third-generation aromatase inhibitors. Methods Fifty postmenopausal patients ER-positive/HER-2-negative LABC treated letrozole and exemestane given sequentially an intra-patient cross-over regimen for at least 4 months monitoring baseline as well after 2 treatment. The pattern was classified...
Abstract Background Axillary lymph node (LN) metastasis is one of the most important predictors recurrence and survival in breast cancer, accurate assessment LN involvement crucial. Determining extent residual disease key for surgical planning after neoadjuvant therapy. The aim study was to evaluate diagnostic reliability MRI nodal locally advanced cancer patients treated with endocrine therapy (NET). Methods Thirty-three clinically node-positive who underwent NET surgery were prospectively...
Purpose: Segmentation of the breast region in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is essential for automatic measurement density and quantitative analysis findings. This study aims to compare various deep learning methods enhance whole segmentation reduce computational costs as well environmental effect future research. Methods: We collected fifty-nine DCE-MRI scans from Stavanger University Hospital and, after preprocessing, analyzed fifty-eight scans. The...