Research Topics
Species | J SijbersSummaryAffiliation: University of Antwerp Country: Belgium Publications
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Detail Information
Publications
Automatic estimation of the noise variance from the histogram of a magnetic resonance imageJan Sijbers
Vision Lab, Department of Physics, University of Antwerp Universiteitsplein 1, B 2610 Wilrijk, Belgium
Phys Med Biol 52:1335-48. 2007..The results show that the newly proposed method is superior in terms of the RMSE...
Reduction of ring artefacts in high resolution micro-CT reconstructionsJan Sijbers
Vision Lab, Department of Physics, University of Antwerp, Belgium Groenenborgerlaan 171, U316, B 2020 Antwerpen, Belgium
Phys Med Biol 49:N247-53. 2004..Therefore, in this note a simple but efficient and fast post processing method is proposed that effectively reduces ring artefacts in reconstructed micro-CT images...
Generalized likelihood ratio tests for complex fMRI data: a simulation studyJ Sijbers
University of Antwerp, Vision Lab, CMI, Groenenborgerlaan 171, U316, B 2020 Antwerpen, Belgium
IEEE Trans Med Imaging 24:604-11. 2005..It is argued that, in practical situations, GLRTs based on magnitude data are likely to perform better compared to GLRTs based on complex data in terms of detection rate and constant false alarm rate properties...
Maximum likelihood estimation of signal amplitude and noise variance from MR dataJ Sijbers
Vision Lab, Department of Physics, University of Antwerp, Belgium
Magn Reson Med 51:586-94. 2004..As a performance criterion, the mean-squared error (MSE) is used...
Multiscale white matter fiber tract coregistration: a new feature-based approach to align diffusion tensor dataA Leemans
Vision Laboratory, Department of Physics, University of Antwerp, Belgium
Magn Reson Med 55:1414-23. 2006..An in vivo coregistration example is presented and compared with a voxel-based coregistration approach, demonstrating the feasibility and advantages of the proposed technique to align DT data of the human brain...
Nonrigid coregistration of diffusion tensor images using a viscous fluid model and mutual informationWim Van Hecke
VisionLab, Department of Physics, University of Antwerp, 2610 Antwerp, Belgium
IEEE Trans Med Imaging 26:1598-612. 2007..Nevertheless, this coregistration method has demonstrated to significantly improve spatial alignment compared to affine image matching...
Restoration of MR-induced artifacts in simultaneously recorded MR/EEG dataJ Sijbers
Vision Lab, University of Antwerp, Belgium
Magn Reson Imaging 17:1383-91. 1999..The method has proved to be fully automatic and to retain high frequency EEG information, which is indispensable for many EEG applications...
Special designed RF-antenna with integrated non-invasive carbon electrodes for simultaneous magnetic resonance imaging and electroencephalography acquisition at 7TJ Van Audekerkea
Bio Imaging Lab, University of Antwerp, RUCA, Groenenborgerlaan, 171, B 2020, Antwerp, Belgium
Magn Reson Imaging 18:887-91. 2000..As the acquired EEG signals are heavily disturbed by the gradient switching, intelligent filtering is applied to obtain a clean EEG signal...
Adaptive anisotropic noise filtering for magnitude MR dataJ Sijbers
Department of Physics, University of Antwerp, Antwerpen, Belgium
Magn Reson Imaging 17:1533-9. 1999..In this work, we show how the Rice data probability distribution can be incorporated so as to construct a noise filter that is far less biased...
Automatic localization of EEG electrode markers within 3D MR dataJ Sijbers
Vision Lab, University of Antwerp, Antwerp, Belgium
Magn Reson Imaging 18:485-8. 2000..In this work, we present an automatic, simple, and accurate scheme that detects EEG electrode markers from 3D MR data of the human head...
Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft-tissue tumors in T1-MRI imagesJaber Juntu
Vision Laboratory VisieLab, Department of Physics, University of Antwerp, Belgium
J Magn Reson Imaging 31:680-9. 2010....
Dissecting cognitive stages with time-resolved fMRI data: a comparison of fuzzy clustering and independent component analysisAlain Smolders
Vision Lab Department of Physics, University of Antwerp, Universiteitsplein 1, B 2610 Antwerpen, Belgium
Magn Reson Imaging 25:860-8. 2007..This study confirms the efficacy of the two examined methods in the data-driven estimation of hemodynamic responses in time-resolved fMRI studies and provides empirical guidelines to their use...
Optimal threshold selection for tomogram segmentation by projection distance minimizationK J Batenburg
University of Antwerp, IBBT Vision Lab, Universiteitsplein 1, B 2610 Wilrijk Antwerp, Belgium
IEEE Trans Med Imaging 28:676-86. 2009..Simulation experiments applied to various phantom images show that our proposed method obtains superior results compared to established histogram-based methods...
Estimation of the noise in magnitude MR imagesJ Sijbers
Department of Physics, University of Antwerp, Belgium
Magn Reson Imaging 16:87-90. 1998..In this note a new method is proposed to estimate the image noise variance for this type of data distribution. The method is based on a double image acquisition, thereby exploiting the knowledge of the Rice distribution moments...
Maximum-likelihood estimation of Rician distribution parametersJ Sijbers
Department of Physics, University of Antwerp, Belgium
IEEE Trans Med Imaging 17:357-61. 1998..In contrast to previously proposed methods, ML estimation is demonstrated to be unbiased for high signal-to-noise ratio (SNR) and to yield physical relevant results for low SNR...
L1 knockout mice show dilated ventricles, vermis hypoplasia and impaired exploration patternsE Fransen
Department of Medical Genetics, University of Antwerp, B 2610 Antwerp, Belgium
Hum Mol Genet 7:999-1009. 1998..Additionally, the cerebellar vermis of the KO mice is hypoplastic. Their exploratory behavior is characterized by stereotype peripheral circling reminiscent of that of rodents with induced cerebellar lesions...
More accurate estimation of diffusion tensor parameters using diffusion Kurtosis imagingJelle Veraart
VisionLab, Department of Physics, University of Antwerp, Wilrijk, Antwerp, Belgium
Magn Reson Med 65:138-45. 2011....
Morphologic and functional changes in the unilateral 6-hydroxydopamine lesion rat model for Parkinson's disease discerned with microSPECT and quantitative MRINadja Van Camp
Bio Imaging Lab, University of Antwerp, Groenenborgerlaan 171, Antwerp, Belgium
MAGMA 23:65-75. 2010..In the present study, we aimed to evaluate the impact of neurodegeneration of the nigrostriatal tract in a rodent model of Parkinson's disease on the different MR contrasts (T(2), T(1), CBF and CBV) measured in the striatum...
Assessment and stenting of tracheal stenosis using deformable shape modelsRômulo Pinho
IBBT Visionlab, Department of Physics of the University of Antwerp, Belgium
Med Image Anal 15:250-66. 2011..The method was extensively evaluated on simulation as well on real data and the results showed that it is accurate and fast enough to be used in the clinical setting...
Optimal experimental design for diffusion kurtosis imagingDirk H J Poot
IBBT Vision Lab, University of Antwerp, B 2610 Antwerp, Belgium
IEEE Trans Med Imaging 29:819-29. 2010..It is shown that the precision with which the kurtosis parameters can be estimated, increases substantially by optimizing the gradient settings...
Automatic construction of correspondences for tubular surfacesToon Huysmans
Department of Physics, University of Antwerp CDE, Universiteitsplein 1, B 2610 Antwerp, Belgium
IEEE Trans Pattern Anal Mach Intell 32:636-51. 2010....
Correlation of cognitive dysfunction and diffusion tensor MRI measures in patients with mild and moderate multiple sclerosisWim Van Hecke
VisionLab, Department of Physics, University of Antwerp, B 2610 Antwerp, Belgium
J Magn Reson Imaging 31:1492-8. 2010..To compare the diffusion tensor imaging (DTI) measures of multiple sclerosis (MS) patients and healthy subjects in every brain voxel and to correlate them with Paced Auditory Serial Addition Test (PASAT) scores...
Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolutionBen Jeurissen
Vision Lab, Department of Physics, University of Antwerp, Wilrijk, Antwerp, Belgium
Hum Brain Mapp 32:461-79. 2011..In addition, the performance of the proposed method is compared to state-of-the-art DTI residual bootstrap tractography and to an existing probabilistic CSD tractography algorithm using clinical DW data...
Noise measurement from magnitude MRI using local estimates of variance and skewnessJeny Rajan
Vision Lab, Department of Physics, University of Antwerp, Belgium
Phys Med Biol 55:N441-9. 2010..Experimental results on synthetic and real MR image datasets show that the proposed estimators accurately estimate the noise level in a magnitude MR image, even without background data...
The effect of template selection on diffusion tensor voxel-based analysis resultsWim Van Hecke
Department of Radiology, University Hospital Antwerp, Edegem Antwerp, Belgium
Neuroimage 55:566-73. 2011..Our results suggest that the highest sensitivity and specificity to detect WM abnormalities in a VBA setting was achieved using the population-specific DTI atlas, presumably due to the better spatial image alignment to this template...
Diffusion tensor image up-sampling: a registration-based approachZhenhua Mai
IBBT Visionlab, Department of Physics, Universiteit Antwerpen, Antwerpen, Wilrijk, 2610, Belgium
Magn Reson Imaging 28:1497-506. 2010....
Improved B(0) field map estimation for high field EPIDirk H J Poot
IBBT Visionlab, University of Antwerp, 2610 Wilrijk, Belgium
Magn Reson Imaging 28:441-50. 2010..The proposed method is tested on simulated as well as experimental data and proves to be significantly more robust against noise, compared to the previously suggested method...
Comparing isotropic and anisotropic smoothing for voxel-based DTI analyses: A simulation studyWim Van Hecke
Department of Physics, University of Antwerp, Wilrijk, Belgium
Hum Brain Mapp 31:98-114. 2010..Our results clearly demonstrate an increased sensitivity and specificity of detecting a predefined simulated pathology when the anisotropic smoothing kernel was used...
A diffusion tensor imaging group study of the spinal cord in multiple sclerosis patients with and without T2 spinal cord lesionsWim Van Hecke
Visionlab Department of Physics, University of Antwerp, Antwerp, Belgium
J Magn Reson Imaging 30:25-34. 2009..To examine the T(2)-normal appearing spinal cord of patients with multiple sclerosis (MS) using diffusion tensor imaging...
Spatiotemporal properties of the BOLD response in the songbirds' auditory circuit during a variety of listening tasksVincent Van Meir
Bio Imaging Laboratory, University of Antwerp, Groenenborgerlaan 171, B 2020 Antwerp, Belgium
Neuroimage 25:1242-55. 2005....
Functional magnetic resonance imaging in zebra finch discerns the neural substrate involved in segregation of conspecific song from background noiseTiny Boumans
Bio Imaging Lab, University of Antwerp, Antwerp, Belgium
J Neurophysiol 99:931-8. 2008....
A tracking-based diffusion tensor imaging segmentation method for the detection of diffusion-related changes of the cervical spinal cord with agingWim Van Hecke
VisionLab, Department of Physics, University of Antwerp, Antwerp, Belgium
J Magn Reson Imaging 27:978-91. 2008..To compare region of interest (ROI)-based and diffusion tensor tractography (DTT)-based methods for evaluating diffusion properties of the spinal cord as a function of age...
On the construction of an inter-subject diffusion tensor magnetic resonance atlas of the healthy human brainWim Van Hecke
Visionlab Department of Physics, University of Antwerp, Antwerp, Belgium
Neuroimage 43:69-80. 2008..Our results demonstrate that the population based atlas framework is more accurate with respect to the underlying diffusion information...
On the construction of a ground truth framework for evaluating voxel-based diffusion tensor MRI analysis methodsWim Van Hecke
Visionlab Department of Physics, University of Antwerp, Wilrijk Antwerp, Belgium
Neuroimage 46:692-707. 2009..The simulated DTI data sets will be made available online (http://www.dti.ua.ac.be)...
Diffusion tensor imaging in a rat model of Parkinson's disease after lesioning of the nigrostriatal tractNadja Van Camp
University of Antwerp, Belgium
NMR Biomed 22:697-706. 2009....
Mathematical framework for simulating diffusion tensor MR neural fiber bundlesA Leemans
Vision Laboratory, Department of Physics, University of Antwerp, B 2020 Antwerp, Belgium
Magn Reson Med 53:944-53. 2005..Several examples of how the mathematical framework can be applied to compare fiber-tracking algorithms are presented...
Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs)W J Palenstijn
IBBT Vision Lab, University of Antwerp Universiteitsplein 1, B 2610, Wilrijk, Belgium
J Struct Biol 176:250-3. 2011..By carefully considering memory access locality when dividing the workload among blocks of threads, the GPU's cache is used more efficiently, making more effective use of the available memory bandwidth...
Neuroanatomy of the fragile X knockout mouse brain studied using in vivo high resolution magnetic resonance imagingR F Kooy
Department of Medical Genetics, University of Antwerp, Belgium
Eur J Hum Genet 7:526-32. 1999..We did not find evidence for size alterations in various brain regions of the fragile X mouse model, but the method described may find a wide application in the study of mutant mouse models with neurological involvement...
3D imaging of nanomaterials by discrete tomographyK J Batenburg
Vision Lab, University of Antwerp CDE, Universiteitsplein 1, B 2610 Wilrijk, Belgium
Ultramicroscopy 109:730-40. 2009....
An energy-based beam hardening model in tomographyE Van de Casteele
Vision Lab, Physics Departement, University of Antwerp RUCA, Belgium
Phys Med Biol 47:4181-90. 2002..The validity of the proposed model is examined by fitting the model to the experimental datapoints obtained on a microtomograph for different materials and source voltages...
Implications of the Rician distribution for fMRI generalized likelihood ratio testsArnold J den Dekker
Delft Center for Systems and Control, Delft University of Technology, 2628 CD Delft, The Netherlands
Magn Reson Imaging 23:953-9. 2005..Furthermore, we propose a generalized likelihood ratio test for magnitude MR data that has the same performance compared to the GLMT for high SNR, but performs significantly better than the GLMT for low SNR...
