A5070568879- Acute Ischemic Stroke Management
- Advanced X-ray and CT Imaging
- Cerebrovascular and Carotid Artery Diseases
- Traumatic Brain Injury and Neurovascular Disturbances
- Radiation Dose and Imaging
- Computational Physics and Python Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Venous Thromboembolism Diagnosis and Management
- Radiomics and Machine Learning in Medical Imaging
- Hearing Loss and Rehabilitation
- Medical Imaging Techniques and Applications
- Hearing, Cochlea, Tinnitus, Genetics
- Cardiac Imaging and Diagnostics
- Photoacoustic and Ultrasonic Imaging
- Medical Image Segmentation Techniques
- Intracranial Aneurysms: Treatment and Complications
- Dental Radiography and Imaging
- Medical Imaging and Analysis
- Optical Coherence Tomography Applications
- Cellular Mechanics and Interactions
- Retinal Imaging and Analysis
- Dermatological and Skeletal Disorders
- AI in cancer detection
- Ultrasound and Hyperthermia Applications
University Medical Center Utrecht
2016-2025
Utrecht University
2015-2025
University of Amsterdam
2023
Amsterdam University Medical Centers
2023
University Hospital Heidelberg
2016
Heidelberg University
2016
Zimmer Biomet (Netherlands)
2016
Eindhoven University of Technology
2007
Accurate detection and quantification of unruptured intracranial aneurysms (UIAs) is important for rupture risk assessment to allow an informed treatment decision be made. Currently, 2D manual measures used assess UIAs on Time-of-Flight magnetic resonance angiographies (TOF-MRAs) lack 3D information there substantial inter-observer variability both aneurysm size growth. could helpful improve but are time-consuming would therefore benefit from a reliable automatic UIA segmentation method. The...
Abstract The systemic associations with knee osteoarthritis (KOA) are incompletely understood. This study explores aortic disease, musculoskeletal and organ findings in patients KOA relation to their symptoms or radiographic abnormalities. Full body computed tomography (CT) scans of 255 IMI-APPROACH participants were investigated using an automated analysis multislice CT (Voronoi Health Analytics) that extracts size calcifications, volumes densities bones, muscles, fat compartments thoracic...
Background Carotid occlusive disease is a risk factor for cognitive decline. A possible underlying etiology that hemodynamic impairment results in decreased cerebral perfusion, exacerbated amyloid-β accumulation (Aβ) and poorer performance. Objective We aimed to determine whether patients with unilateral internal carotid artery (ICA) occlusion have less perfusion more Aβ the ipsilateral than contralateral hemisphere, are associated functioning. Methods included 20 (age 67.2 ± 7.0 years, 8...
Spectral CT using a dual layer detector offers the possibility of retrospectively introducing spectral information to conventional images. In theory, dual-layer technology should not come with dose or image quality penalty for this study, we evaluate influence (IQon CT, Philips Healthcare) on images, by comparing these images those but otherwise technically comparable single-layer scanner (Brilliance iCT, Healthcare), means phantom experiments.For both scanners, were acquired four adult...
Background and Purpose- Predicting malignant middle cerebral artery (MCA) infarction can help to identify patients who may benefit from preventive decompressive surgery. We aimed investigate the association between ratio of intracranial cerebrospinal fluid (CSF) volume (ICV) MCA infarction. Methods- Patients with an occlusion proximal M3 segment were selected DUST (Dutch Acute Stroke Study). Admission imaging included noncontrast computed tomography (CT), CT perfusion, angiography. Patient...
Abstract Purpose Early infarcts are hard to diagnose on non-contrast head CT. Dual-energy CT (DECT) may potentially increase infarct differentiation. The optimal DECT settings for differentiation were identified and evaluated. Methods One hundred twenty-five consecutive patients who presented with suspected acute ischemic stroke (AIS) underwent subsequent DWI retrospectively identified. was used as reference standard. First, virtual monochromatic images (VMI) of 25 reconstructed from 40 140...
Identifying cardioembolic sources in patients with acute ischemic stroke is important for the choice of secondary prevention strategies. We prospectively investigated yield admission (spectral) nongated cardiac computed tomography angiography (CTA) to detect stroke.Participants ENCLOSE study (Improved Prediction Recurrent Stroke and Detection Small Volume Stroke) transient attack or assessable head-to-heart CTA at University Medical Center Utrecht were included between June 2017 March 2022....
<h3>BACKGROUND AND PURPOSE:</h3> Prominent space-occupying cerebral edema is a devastating complication occurring in some but not all patients with large MCA infarcts. It unclear why differences the extent of exist. Better knowledge factors related to prominent formation could aid treatment strategies. This study aimed identify variables associated development <h3>MATERIALS METHODS:</h3> From Dutch Acute Stroke Study (DUST), 137 were selected infarcts on follow-up NCCT (3 ± 2 days after...
Determining the exact location of cochlear implant (CI) electrode contacts after implantation is important, as it helps quantifying relation between CI positioning and hearing outcome. Unfortunately, localization individual can be difficult, because spacing near spatial resolution limit high-resolution clinical computed tomography (CT) scanners. This study introduces examines a simple, automatic method for intracochlear contacts. geometric specifications may provide prior knowledge that...
<b><i>Background:</i></b> Current guidelines for the treatment of acute ischemic stroke are mainly based on time between symptom onset and initiation treatment. This is unknown in patients with wake-up (WUS). We investigated clinical multimodality CT imaging characteristics admission WUS a known time. <b><i>Methods:</i></b> All were selected from large prospective cohort study (Dutch study). last seen well &#x3e; 4.5 ≤4.5 h separately...
Blood-brain barrier damage, which can be quantified by measuring vascular permeability, is a potential predictor for hemorrhagic transformation in acute ischemic stroke. Permeability commonly estimated applying Patlak analysis to computed tomography (CT) perfusion data, but this method lacks precision. Applying more elaborate kinetic models means of nonlinear regression (NLR) may improve precision, time consuming and therefore less appropriate an stroke setting. We propose simplified NLR...
Thrombus permeability determines blood flow through the occluding thrombus in acute ischemic stroke (AIS) patients. The quantification of is challenging since it cannot be directly measured nor derived from radiological imaging data. As a proxy permeability, perviousness has been introduced, which assesses amount contrast agent that penetrated on single-phase computed tomography angiography (CTA). We present method to assess rather than perviousness. follow three-step approach: (1) we...
Abstract Dual-energy CT (DECT) material decomposition techniques may better detect edema within cerebral infarcts than conventional non-contrast (NCCT). This study compared if Virtual Ischemia Maps (VIM) derived from DECT of patients with acute ischemic stroke due to large-vessel occlusion (AIS-LVO) are superior NCCT for core estimation, against reference-standard DWI-MRI. Only whose baseline was most likely remain stable on follow-up MRI were included, defined as those excellent...
Purpose: Intravenous thrombolysis can improve clinical outcome in acute ischemic stroke patients but increases the risk of hemorrhagic transformation (HT). Blood–brain barrier damage, which be quantified by vascular permeability for contrast agents, is a potential predictor HT. This study aimed to assess whether this prediction improved measuring using novel fast nonlinear regression (NLR) method instead Patlak analysis. Methods: From prospective multicenter cohort study, 20 with HT on...
Although computed tomography (CT) perfusion (CTP) imaging enables rapid diagnosis and prognosis of ischemic stroke, current CTP analysis methods have several shortcomings. We propose a fast nonlinear regression method with box-shaped model (boxNLR) that has important advantages over the state-of-the-art method, block-circulant singular value decomposition (bSVD). These include improved robustness to attenuation curve truncation, extensibility, unified estimation parameters. The is compared...
<b><i>Background:</i></b> In electric-acoustic pitch matching experiments in patients with single-sided deafness and a cochlear implant, the observed “mismatch” between perceived predicted pitch, based on amended Greenwood frequency map, ranges from –1 to –2 octaves. It is unknown if how this mismatch differs for perimodiolar versus lateral wall electrode arrays. <b><i>Objectives:</i></b> We aimed investigate type of array design influence...
Tracer delay-sensitive perfusion algorithms in CT (CTP) result an overestimation of the extent ischemia thromboembolic stroke. In diagnosing delayed cerebral (DCI) after aneurysmal subarachnoid hemorrhage (aSAH), arrival contrast due to vasospasm may also overestimate ischemia. We investigated diagnostic accuracy tracer and delay-insensitive for detecting DCI. From a prospectively collected series aSAH patients admitted between 2007–2011, we included with any clinical deterioration other...
<b><i>Introduction:</i></b> Hemorrhagic transformation (HT) in acute ischemic stroke can occur as a result of reperfusion treatment. While withholding treatment may be warranted patients with increased risk HT, prediction HT remains difficult. Nonlinear regression analysis used to estimate blood-brain barrier permeability (BBBP). The aim this study was identify combination clinical and imaging variables, including BBBP estimations, that predict HT....
Introduction The limited axial coverage of many computed tomography (CT) scanners poses a high risk on false negative findings in cerebral CT‐perfusion (CTP) imaging. Axial may be increased by moving the table back and forth during image acquisition. However, this method often increases acquisition interval between CT frames, which influence CTP analysis. In study, we evaluated different intervals quantitative perfusion maps infarct volumes analyzing patient data with three analysis methods....
In this study, we investigate whether a Convolutional Neural Network (CNN) can generate informative parametric maps from the pre-processed CT perfusion data in patients with acute ischemic stroke clinical setting.The CNN training was performed on subset of 100 dataset, while 15 samples were kept for testing. All used training/testing network and generating ground truth (GT) maps, using state-of-the-art deconvolution algorithm, previously pipeline motion correction filtering. Threefold cross...