A total variation based approach to correcting surface coil magnetic resonance images

A total variation based approach to correcting surface coil magnetic resonance images

Magnetic resonance images which are corrupted by noise and by smooth modulations are corrected using a variational formulation incorporating a total variation like penalty for the image and a high order penalty for the modulation. The optimality system is derived and numerically discretized. The cost functional used is non-convex, but it possesses a bilinear structure which allows the ambiguity...

Surface coil magnetic resonance imaging.

Correcting Motion Artifacts in Magnetic Resonance Images

Motion of the patient during magnetic resonance imaging (MRI) introduces artifacts that can severely degrade the images. A method is proposed to correct for artifacts caused by translational motion, using only information contained in the MRI data. Initial simulation results show the algorithm to be effective in the presence of realistic noise levels. The method is suitable for routine clinical...

A variational approach to magnetic resonance coil sensitivity estimation

A variational method for estimating a magnetic resonance coil sensitivity from its corresponding nonuniform illumination of magnetic resonance images is proposed and analyzed. The estimated sensitivity can then be used to correct nonuniformities and indeed to facilitate high-speed parallel image acquisition. The data available for estimation include two images of the same field of view but obta...

Static Coil Design Considerations for the Magnetic Resonance Imaging

One of the main challenges in developing magnetic resonance imaging (MRI) systems is to create a static coil that needs to generate magnetic field density along with the characteristics of optimal homogeneity and magnitude size. To do this, two N42 Block PMs are used and the iron core is designed and optimized in accordance with the dimensions of PM pieces using ANSYS Maxwell software. Then, al...