A5056970276- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Peripheral Nerve Disorders
- Sports injuries and prevention
- Fetal and Pediatric Neurological Disorders
- Cardiac Imaging and Diagnostics
- Neurogenetic and Muscular Disorders Research
- Cerebral Palsy and Movement Disorders
- Atomic and Subatomic Physics Research
- Muscle Physiology and Disorders
- Hereditary Neurological Disorders
- Genetic Neurodegenerative Diseases
- Advanced NMR Techniques and Applications
- Cardiovascular Effects of Exercise
- Functional Brain Connectivity Studies
- Lower Extremity Biomechanics and Pathologies
- Cardiovascular Function and Risk Factors
- Pelvic floor disorders treatments
- RNA modifications and cancer
- Pelvic and Acetabular Injuries
- Peripheral Neuropathies and Disorders
- Radiomics and Machine Learning in Medical Imaging
- Spinal Dysraphism and Malformations
- Elasticity and Material Modeling
University Medical Center Utrecht
2016-2025
Utrecht University
2014-2024
Heidelberg University
2014-2022
University Hospital Heidelberg
2014-2022
University of Amsterdam
2010-2019
Amsterdam University Medical Centers
2019
Amsterdam UMC Location University of Amsterdam
2010-2018
IRCCS Eugenio Medea
2018
Amsterdam University of Applied Sciences
2015
University Medical Center
2014
Abstract Tractography based on non-invasive diffusion imaging is central to the study of human brain connectivity. To date, approach has not been systematically validated in ground truth studies. Based a simulated data set with tracts, we organized an open international tractography challenge, which resulted 96 distinct submissions from 20 research groups. Here, report encouraging finding that most state-of-the-art algorithms produce tractograms containing 90% bundles (to at least some...
Purpose To investigate previously unreported effects of signal drift as a result temporal scanner instability on diffusion MRI data analysis and to propose method correct this drift. Methods We investigated the magnitude non‐diffusion‐weighted EPI volumes in series diffusion‐weighted imaging experiments determine whether changes over time. Different scan protocols scanners from multiple vendors were used verify phantom data, kurtosis tensor estimation vivo quantified. Scalar metrics...
To develop a protocol for diffusion-tensor imaging (DTI) of the complete upper legs and to demonstrate feasibility detection subclinical sports-related muscle changes in athletes after strenuous exercise, which remain undetected by using conventional T2-weighted magnetic resonance (MR) with fat suppression.The research was approved institutional ethics committee review board, volunteers provided written consent before study. Five male amateur long-distance runners underwent an MR examination...
In this study, we have performed simulations to address the effects of diffusion encoding parameters, signal‐to‐noise ratio (SNR) and T 2 on skeletal muscle tensor indices fiber tracts. Where appropriate, were corroborated validated by in vivo imaging (DTI) human muscle. Specifically, addressed: (i) accuracy precision parameters eigenvectors at different SNR levels; (ii) gradient direction scheme; (iii) optimal b value for estimation; (iv) changes ; and, finally, influence tractography...
To design a time-efficient patient-friendly clinical diffusion tensor MRI protocol and postprocessing tool to study the complex muscle architecture of human forearm.The 15-minute examination was done using 3 T system consisted of: T(1) -weighted imaging, dual echo gradient single-shot spin-echo echo-planar imaging (EPI) MRI. Postprocessing comprised signal-to-noise improvement by Rician noise suppression algorithm, image registration correct for motion eddy currents, correction...
Diffusion tensor imaging (DTI) is a popular method to assess differences in fiber organization diseased and healthy muscle tissue. Previous work has shown that DTI measurements depend on signal‐to‐noise ratio (SNR), %fat, tissue T 2 . The goal of this study was evaluate the potential biasing effects these factors skeletal data patients with Duchenne Muscular Dystrophy (DMD). MR images were obtained right lower leg 21 DMD 12 controls Philips 3T system. combined quantitative in‐vivo measures...
Purpose In this work, we present the MASSIVE (Multiple Acquisitions for Standardization of Structural Imaging Validation and Evaluation) brain dataset a single healthy subject, which is intended to facilitate diffusion MRI (dMRI) modeling methodology development. Methods data one subject (female, 25 years) were acquired on clinical 3 Tesla system (Philips Achieva) with an eight‐channel head coil. total, was scanned 18 different occasions total acquisition time 22.5 h. The dMRI isotropic...
The purpose of this study was to evaluate temporal stability, multi‐center reproducibility and the influence covariates on a multimodal MR protocol for quantitative muscle imaging facilitate its use as standardized evaluation pathology in skeletal muscle. Quantitative T2, diffusion four‐point Dixon acquisitions calf muscles both legs were repeated within one hour. Sixty‐five healthy volunteers (31 females) included eight 3‐T systems. Five traveling subjects examined six scanners. Average...
Abstract Fiber tractography based on non-invasive diffusion imaging is at the heart of connectivity studies human brain. To date, approach has not been systematically validated in ground truth studies. Based a simulated brain dataset with white matter tracts, we organized an open international challenge, which resulted 96 distinct submissions from 20 research groups. While most state-of-the-art algorithms reconstructed 90% bundles to least some extent, average they produced four times more...
Neuromuscular diseases are characterized by progressive muscle degeneration and weakness resulting in functional disabilities. While each of these is individually rare, they common as a group, large majority lacks effective treatment with fully market approved drugs. Magnetic resonance imaging spectroscopy techniques (MRI MRS) showing increasing promise an outcome measure clinical trials for diseases. In 2013, the European Union funded COST (co-operation science technology) action BM1304...
Purpose To evaluate if a three-component model correctly describes the diffusion signal in kidney and whether it can provide complementary anatomical or physiological information about underlying tissue. Materials Methods Ten healthy volunteers were examined at 3T, with T2-weighted imaging, tensor imaging (DTI), intravoxel incoherent motion (IVIM). Diffusion parameters (mean diffusivity [MD] fractional anisotropy [FA]) obtained by iterative weighted linear least squares fitting of DTI data...
The intravoxel incoherent motion (IVIM) model for diffusion-weighted imaging (DWI) MRI data bears much promise as a tool visualizing tumours and monitoring treatment response. To improve the currently poor precision of IVIM, several fit algorithms have been suggested. In this work, we compared performance two Bayesian IVIM four other pancreatic cancer imaging. DWI were acquired in 14 patients during examinations. Three different measures fitting assessed: (i) uniqueness parameters...
<h3>Objective</h3> To assess and compare the diagnostic performance of qualitative (semi-)quantitative MRI ultrasound for distinguishing chronic inflammatory demyelinating polyneuropathy (CIDP) multifocal motor neuropathy (MMN) from segmental spinal muscular atrophy (sSMA). <h3>Methods</h3> Patients with CIDP (n = 13), MMN 10), or sSMA 12) healthy volunteers 30) were included. brachial plexus, using short tau inversion recovery (STIR), nerve-specific T2-weighted (magnetic resonance...
MRI examinations are accurate for diagnosing sports-related acute hamstring injuries. However, sensitive imaging methods assessing recovery of these injuries lacking. Diffusion tensor (DTI) and quantitative T2 (qT2) mapping have both shown promise muscle micro trauma exercise effects. The purpose this study was to explore the potential DTI qT2 monitoring processes after injury. In prospective study, athletes with an injury underwent a 3-T examination injured contralateral hamstrings...
To prospectively determine the feasibility of diffusion tensor imaging (DTI) with fibre tractography as a tool for three-dimensional (3D) visualisation normal pelvic floor anatomy.Five young female nulliparous subjects (mean age 28 ± 3 years) underwent DTI at 3.0T. Two-dimensional diffusion-weighted axial spin-echo echo-planar (SP-EPI) pulse sequence was performed, additional T2-TSE multiplanar sequences anatomical reference. Fibre predefined and wall muscles performed offline by two...
Abstract Fractal analysis represents a promising new approach to structural neuroimaging data, yet systematic evaluation of the fractal dimension (FD) as marker brain complexity is scarce. Here we present in‐depth methodological assessment FD estimation in MRI. On computational side, show that spatial scale optimization can significantly improve accuracy, suggested by simulation studies with known values. For empirical evaluation, analyzed two recent open‐access data sets (MASSIVE and...
The aim of this study was to document upper leg involvement in spinal muscular atrophy (SMA) with quantitative MRI (qMRI) a cross-sectional cohort patients varying type, disease severity and age. Thirty-one SMA types 2 3 (aged 29.6 [7.6-73.9] years) 20 healthy controls 37.9 [17.7-71.6] were evaluated T protocol consisting DIXON, T2 mapping diffusion tensor imaging (DTI). qMRI measures compared clinical scores motor function (Hammersmith Functional Motor Scale Expanded [HFMSE]) muscle...
The aim of the present study was to evaluate a fast clinical protocol enable diffusion tensor imaging human forearm and assess reproducibility six parameters, i.e., eigenvalues (λ(1), λ(2), λ(3)), mean diffusivity, fractional anisotropy, ellipsoid eccentricity. right forearms 10 healthy volunteers were scanned twice, with 1-week interval. Reproducibility parameters interpreted using Bland-Altman plots, coefficient repeatability, repeatability index, intraclass correlation coefficient....