Magnetic Resonance Imaging
Magnetic resonance imaging (MRI) is a biomedical imaging technique used to visualize detailed internal structures. The Quantitative MRI group of the Vision Lab develops novel reconstruction, processing and analysis algorithms to process anatomical, functional or diffusion-weighted MRI data. These methods rely on profound knowledge of the MR imaging principles. The core competence of the group is quantitative, statistical parameter estimation, which is the basis for developing novel techniques for image reconstruction, image denoising, higher order diffusion parameter estimation (DTI, DKI, ...), and fiber tractography.
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Journal publications
1998
“Estimation of Signal and Noise from Magnitude Magnetic Resonance Images”, 1998.
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“L1 knockout mice show dilated ventricles, vermis hypoplasia and impaired exploration patterns”, Human Molecular Genetics, vol. 7, pp. 999-1009, 1998.
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“Imaging birds in a bird cage: in-vivo FSE 3D MRI of bird brain”, MAGMA: Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 6, pp. 22-27, 1998.
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“Estimation of the noise in magnitude MR images”, Magnetic Resonance Imaging, vol. 16, pp. 87-90, 1998.
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“Maximum Likelihood estimation of Rician distribution parameters”, IEEE Transactions on Medical Imaging, vol. 17, pp. 357-361, 1998.
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1997
“Watershed based segmentation of 3D MR data for volume quantization”, Magnetic Resonance Imaging, vol. 15, pp. 679-688, 1997.
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1996
“Quantification and improvement of the signal-to-noise ratio in a magnetic resonance image acquisition procedure”, Magnetic Resonance Imaging, vol. 14, pp. 1157-1163, 1996.
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