J Sijbers

Summary

Affiliation: University of Antwerp
Country: Belgium

Publications

  1. ncbi Estimation of the noise in magnitude MR images
    J Sijbers
    Department of Physics, University of Antwerp, Belgium
    Magn Reson Imaging 16:87-90. 1998
  2. ncbi Maximum-likelihood estimation of Rician distribution parameters
    J Sijbers
    Department of Physics, University of Antwerp, Belgium
    IEEE Trans Med Imaging 17:357-61. 1998
  3. ncbi Restoration of MR-induced artifacts in simultaneously recorded MR/EEG data
    J Sijbers
    Vision Lab, University of Antwerp, Belgium
    Magn Reson Imaging 17:1383-91. 1999
  4. ncbi Adaptive anisotropic noise filtering for magnitude MR data
    J Sijbers
    Department of Physics, University of Antwerp, Antwerpen, Belgium
    Magn Reson Imaging 17:1533-9. 1999
  5. ncbi Multiscale white matter fiber tract coregistration: a new feature-based approach to align diffusion tensor data
    A Leemans
    Vision Laboratory, Department of Physics, University of Antwerp, Belgium
    Magn Reson Med 55:1414-23. 2006
  6. ncbi Special designed RF-antenna with integrated non-invasive carbon electrodes for simultaneous magnetic resonance imaging and electroencephalography acquisition at 7T
    J Van Audekerkea
    Bio Imaging Lab, University of Antwerp, RUCA, Groenenborgerlaan, 171, B 2020, Antwerp, Belgium
    Magn Reson Imaging 18:887-91. 2000
  7. ncbi Automatic localization of EEG electrode markers within 3D MR data
    J Sijbers
    Vision Lab, University of Antwerp, Antwerp, Belgium
    Magn Reson Imaging 18:485-8. 2000
  8. ncbi Maximum likelihood estimation of signal amplitude and noise variance from MR data
    J Sijbers
    Vision Lab, Department of Physics, University of Antwerp, Belgium
    Magn Reson Med 51:586-94. 2004
  9. ncbi Mathematical framework for simulating diffusion tensor MR neural fiber bundles
    A Leemans
    Vision Laboratory, Department of Physics, University of Antwerp, B 2020 Antwerp, Belgium
    Magn Reson Med 53:944-53. 2005
  10. ncbi Optimal threshold selection for tomogram segmentation by projection distance minimization
    K J Batenburg
    University of Antwerp, IBBT Vision Lab, Universiteitsplein 1, B 2610 Wilrijk Antwerp, Belgium
    IEEE Trans Med Imaging 28:676-86. 2009

Collaborators

Detail Information

Publications15

  1. ncbi Estimation of the noise in magnitude MR images
    J 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...
  2. ncbi Maximum-likelihood estimation of Rician distribution parameters
    J 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...
  3. ncbi Restoration of MR-induced artifacts in simultaneously recorded MR/EEG data
    J 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...
  4. ncbi Adaptive anisotropic noise filtering for magnitude MR data
    J 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...
  5. ncbi Multiscale white matter fiber tract coregistration: a new feature-based approach to align diffusion tensor data
    A 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...
  6. ncbi Special designed RF-antenna with integrated non-invasive carbon electrodes for simultaneous magnetic resonance imaging and electroencephalography acquisition at 7T
    J 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...
  7. ncbi Automatic localization of EEG electrode markers within 3D MR data
    J 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...
  8. ncbi Maximum likelihood estimation of signal amplitude and noise variance from MR data
    J 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...
  9. ncbi Mathematical framework for simulating diffusion tensor MR neural fiber bundles
    A 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...
  10. ncbi Optimal threshold selection for tomogram segmentation by projection distance minimization
    K 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...
  11. ncbi Generalized likelihood ratio tests for complex fMRI data: a simulation study
    J 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...
  12. ncbi Neuroanatomy of the fragile X knockout mouse brain studied using in vivo high resolution magnetic resonance imaging
    R 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...
  13. ncbi An energy-based beam hardening model in tomography
    E 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...
  14. ncbi 3D imaging of nanomaterials by discrete tomography
    K J Batenburg
    Vision Lab, University of Antwerp CDE, Universiteitsplein 1, B 2610 Wilrijk, Belgium
    Ultramicroscopy 109:730-40. 2009
    ....
  15. ncbi L1 knockout mice show dilated ventricles, vermis hypoplasia and impaired exploration patterns
    E 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...