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2006
D. H. J. Poot, Sijbers, J., den Dekker, A. J., and Pintjens, W., “Automatic estimation of the noise variance from the histogram of a magnetic resonance image”, in IEEE/EBMS Benelux Symposium proceedings, 2006, pp. 135-138.
D. H. J. Poot, Sijbers, J., den Dekker, A. J., and Bos, R., “Estimation of the noise variance from the background histogram mode of an MR image”, in Proceedings of the 25th Benelux Meeting on Systems and Control, Heeze, The Netherlands, 2006.
D. H. J. Poot, Sijbers, J., den Dekker, A. J., and Bos, R., “Estimation of the noise variance from the background histogram mode of an MR image”, in Proceedings of SPS-DARTS 2006 (The second annual IEEE BENELUX/DSP Valley Signal Processing Symposium), Antwerp, Belgium, 2006, pp. 159-162.
J. Sijbers, den Dekker, A. J., Poot, D. H. J., Bos, R., Verhoye, M., Van Camp, N., and Van Der Linden, A., “Robust estimation of the noise variance from background MR data”, in Proceedings of SPIE Medical Imaging: Image Processing, San Diego, CA, USA, 2006, vol. 6144, pp. 2018-2028.
2007
J. Sijbers, Poot, D. H. J., den Dekker, A. J., and Pintjens, W., “Automatic estimation of the noise variance from the histogram of a magnetic resonance image”, Physics in Medicine and Biology, vol. 52, pp. 1335-1348, 2007.PDF icon Download paper (297.18 KB)
2008
D. H. J. Poot, Sijbers, J., and den Dekker, A. J., “An exploration of spatial similarities in temporal noise spectra in fMRI measurements”, in Proceedings of SPIE Medical Imaging 2008, San Diego, CA, USA, 2008, vol. 6914, p. 69142.
W. Pintjens, Poot, D. H. J., Verhoye, M., Van Der Linden, A., and Sijbers, J., “Improved EPI Correction: Upgrading An Ultrafast Imaging Technique”, Liege Image Days 2008: Medical Imaging. 2008.
D. H. J. Poot, Sijbers, J., and den Dekker, A. J., “Optimizing the Diffusion Kurtosis imaging acquisition”, in European Society for Magnetic Resonance in Medicine and Biology, Valencia, Spain, 2008.
W. Pintjens, Poot, D. H. J., Verhoye, M., Van Der Linden, A., and Sijbers, J., “Susceptibility correction for improved tractography using high field DT-EPI”, in Proceedings of SPIE Medical Imaging, San Diego, USA, 2008, vol. 6914.
2009
D. H. J. Poot, “Advances in the reconstruction and statistical processing of Magnetic Resonance images”, 2009.PDF icon Download thesis (6.18 MB)
W. Van Hecke, Sijbers, J., De Backer, S., Poot, D. H. J., Parizel, P. M., and Leemans, A., “On the construction of a ground truth framework for evaluating voxel-based diffusion tensor MRI analysis methods”, NeuroImage, vol. 46, pp. 692-707, 2009.PDF icon Download paper (4.14 MB)
I. Blockx, Verhoye, M., De Groof, G., Van Audekerke, J., Raber, K., Poot, D. H. J., Sijbers, J., von Horsten, S., and Van Der Linden, A., “Diffusion Kurtosis Imaging (DKI) reveals an early phenotype (P30) in a transgenic rat model for Huntington’s disease”, ISMRM conference proceedings, vol. 2009. p. 359, 2009.
R. Delgado Y Palacios, Verhoye, M., Van Audekerke, J., Poot, D. H. J., Sijbers, J., Wiborg, O., and Van Der Linden, A., “DKI visualizes hippocampal alterations in the chronic mild stress ratmodel”, ISMRM conference proceedings, vol. 2009. p. 744, 2009.
A. J. den Dekker, Poot, D. H. J., Bos, R., and Sijbers, J., “Likelihood based hypothesis tests for brain activation detection from MRI data disturbed by colored noise: a simulation study”, IEEE Transactions on Medical Imaging, vol. 28, pp. 287-296, 2009.
D. H. J. Poot, den Dekker, A. J., Verhoye, M., Blockx, I., Van Audekerke, J., Van Der Linden, A., and Sijbers, J., “Optimizing the Diffusion Weighting Gradients for Diffusion-Kurtosis Imaging”, ISMRM2009 proceedings, vol. 2009. p. 1394, 2009.PDF icon Download full paper (624.88 KB)
D. H. J. Poot, den Dekker, A. J., and Sijbers, J., “Pearson Set of Distributions as Improved Signal Model for Diffusion Kurtosis Imaging”, ISMRM conference proceedings. ISMRM, p. 1383, 2009.PDF icon Download full paper (638.23 KB)
2010
D. H. J. Poot, Van Meir, V., and Sijbers, J., “General and Efficient Super-Resolution method for Multi-Slice MRI”, in Medical Image Computing and Computer Assisted Intervention, 2010, vol. 13, no. 1, pp. 615-622.PDF icon Download paper (229.84 KB)
D. H. J. Poot, Pintjens, W., Verhoye, M., Van Der Linden, A., and Sijbers, J., “Improved B0 field map estimation for high field EPI”, Magnetic Resonance Imaging, vol. 28, pp. 441-450, 2010.PDF icon Download paper (1.29 MB)
J. Veraart, Van Hecke, W., Poot, D. H. J., Blockx, I., Van Der Linden, A., Verhoye, M., and Sijbers, J., “A more accurate and b-value independent estimation of diffusion parameters using Diffusion Kurtosis Imaging,”, ISMRM, 18th Scientific Meeting and Exhibition. Stockholm, Sweden, 2010.
J. Veraart, Van Hecke, W., Poot, D. H. J., Blockx, I., Van Der Linden, A., Verhoye, M., and Sijbers, J., “A more accurate and b-value independent estimation of diffusion parameters using Diffusion Kurtosis Imaging”, ISMRM Chapter Benelux conference proceedings. Utrecht, the Netherlands, p. 10, 2010.
J. Rajan, Poot, D. H. J., Juntu, J., and Sijbers, J., “Noise measurement from magnitude MRI using local estimates of variance and skewness.”, Physics in medicine and biology, vol. 55, no. 16, pp. N441-9, 2010.PDF icon Download paper (219.85 KB)
D. H. J. Poot, den Dekker, A. J., Achten, E., Verhoye, M., and Sijbers, J., “Optimal experimental design for Diffusion Kurtosis Imaging”, IEEE Transactions on Medical Imaging, vol. 29, pp. 819-829, 2010.PDF icon Download paper (1.12 MB)
J. Rajan, Poot, D. H. J., Juntu, J., and Sijbers, J., “Segmentation Based Noise Variance Estimation from Background MRI Data”, in ICIAR , Porto, Portugal, 2010, vol. 6111, pp. 62-70.
2011
J. Veraart, Van Hecke, W., Poot, D. H. J., and Sijbers, J., “Constrained maximum likelihood estimator for more accurate diffusion kurtosis tensor estimates”, 3rd meeting of the ISMRM Benelux Chapter. Hoeven, The Netherlands, 2011.
R. Delgado Y Palacios, Adriaan, C., Kim, H., Verhoye, M., Poot, D. H. J., Jouke, D., Van Audekerke, J., Benveniste, H., Sijbers, J., Wiborg, O., and Van Der Linden, A., “Magnetic resonance imaging and spectroscopy reveal differential hippocampal changes in anhedonic and resilient subtypes of the chronic mild stress rat model”, Biological psychiatry, vol. 70, pp. 449-457, 2011.

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