Method and magnetic resonance system to reduce distortions in diffusion imaging

Abstract

Provided is a method of reducing distortions in a magnetic resonance diffusion imaging, comprising the steps of executing at least one first measurement (R1) having a first diffusion weighting, and executing at least one second measurement (R2) having a second diffusion weighting. A non-linear, system-specific distortion-correcting function is determined on the basis of system-specific information that is specific to the magnetic resonance data acquisition system. Correction parameters are calculated to correct distortions in subsequently-acquired diffusion-weighted magnetic resonance images, based on the data acquired in the first and second measurements with the system-specific distortion-correcting function applied thereto. The subsequently-acquired diffusion-weighted magnetic resonance images are corrected using the correction parameters to at least reduce distortions therein. A magnetic resonance system is also provided, and by means of the magnetic resonance system, the above method can be executed.

Description

technical field [0001] The invention relates to a method for correcting image distortions that may occur when taking a diffusion-weighted magnetic resonance image (hereinafter also referred to as "MR image") of an examination object, and to a method that can be used to perform such an Methods of magnetic resonance equipment (hereinafter also referred to as "MR equipment"). Background technique [0002] In diffusion imaging, a plurality of images with different diffusion directions and diffusion weights are usually recorded and combined with one another. The magnitude of the diffusion weights is mostly determined by the so-called "b-value". Diffusion images with different diffusion directions and diffusion weights or images combined from these diffusion images can thus be used for diagnostic purposes. By suitable combination of the acquired diffusion-weighted images, it is thus possible to generate particularly diagnostically informative parameter tables, such as tables spe...

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Problems solved by technology

[0010] On the other hand, there is the problem that the more complex the geometry to be considered in the case of dedistortion, the longer the correction method lasts, since the computational cost of the correction rises sharply with the number of parameters to be considered

Here, using all possible field geometries up to the second order - as set in the method of Rohde et al. - already leads to a relatively high computational cost

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