We present a statistical framework that combines the registration of an atlas with the segmentation of magnetic resonance images. We use an Expectation Maximization-based algorithm...
Kilian M. Pohl, John W. Fisher III, James J. Levit...
Validation and method of comparison for segmentation of magnetic resonance images (MRI) presenting pathology is a challenging task due to the lack of reliable ground truth. We prop...
Diffusion tensor imaging provides information about deep white matter anatomy that structural magnetic resonance images typically fail to resolve. Non-linear registration of diffus...
Abstract. Given an appropriate imaging resolution, a common Magnetic Resonance Imaging (MRI) model assumes that object under study is composed of piecewise constant materials, so t...
Magnetic Resonance Imaging with non-Cartesian acquisition schemes suffer from blurring artifacts induced by offresonance. Conventional algorithms for off-resonance correction are ...