Magnetic Resonance Imaging

Estimation and removal of noise from single and multiple coil MRI

Estimation and removal of noise from Magnetic Resonance Images (MRI) is an active area of research. Noise remains one of the main causes of quality deterioration in MRI and is a subject in a large number of papers in the MRI literature. Consideration of how noise affects the true signal is important for proper interpretation and analysis of MR images. This work mainly deals with the estimation of noise and the underlying true signal from both single and multiple coil acquired magnetic resonance images.

Microstructural changes observed with DKI in a transgenic Huntington rat model: Evidence for abnormal neurodevelopment.

I. Blockx, De Groof, G., Verhoye, M., Van Audekerke, J., Raber, K., Poot, D. H. J., Sijbers, J., Osmand, A. P., Von Hörsten, S., and Van Der Linden, A., “Microstructural changes observed with DKI in a transgenic Huntington rat model: Evidence for abnormal neurodevelopment.”, NeuroImage, vol. 59, pp. 957-67, 2012.

Gibbs artifact suppression for DT-MRI data

D. Perrone, Aelterman, J., Kudzinava, M., Sijbers, J., Pizurica, A., Philips, W., and Leemans, A., “Gibbs artifact suppression for DT-MRI data”, 10th Belgian Day on Biomedical Engineering – joint meeting with IEEE EMBS Benelux Chapter. 2011.

Distortion correction of DKI data: affine approach

M. Kudzinava, Leemans, A., Philips, W., Perrone, D., Aelterman, J., Dudink, J., and Sijbers, J., “Distortion correction of DKI data: affine approach”, 10th Belgian Day on Biomedical Engineering – joint meeting with IEEE EMBS Benelux Chapter. 2011.

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Abstract

Poster

Denoising SENSE reconstructed MR images

J. Rajan and Sijbers, J., “Denoising SENSE reconstructed MR images”, 5th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society. 2011.