Koninklijke Philips Corporation N.V.

Max-planck-gesellschaft Zur F&#xf6;rderung Der Wissenschaften E. V.

Shuo Zhang

Jens Frahm

Martin Uecker

Disclosed herein is a medical system () comprising a memory () storing machine executable instructions () and an image segmentation algorithm (). The image segmentation algorithm is configured for outputting one or more predetermined anatomical regions within initial magnetic resonance imaging data () descriptive of a predetermined field of view () of a subject (). The medical system further comprises a computational system (), wherein execution of the machine executable instructions causes the computational system to: receive () the initial magnetic resonance imaging data (); receive () the image segmentation comprising the one or more anatomical regions within the magnetic resonance imaging data in response to inputting the initial magnetic resonance imaging data into the image segmentation algorithm; select () at least one of the one or more anatomical regions as a selected image portion () using a predetermined criterion; and reduce () image intensity within the selected image portion to provide intensity corrected magnetic resonance imaging data.

Image intensity correction in magnetic resonance imaging

A method for reconstructing a sequence of magnetic resonance (MR) images of an object under investigation, includes the steps of (a) providing a series of sets of image raw data including an image content of the MR images to be reconstructed, the image raw data being collected with the use of at least one radiofrequency receiver coil of a magnetic resonance imaging (MRI) device, wherein each set of image raw data includes a plurality of data samples being generated with a gradient-echo sequence, in particular a FLASH sequence, that spatially encodes an MRI signal received with the at least one radiofrequency receiver coil using a non-Cartesian k-space trajectory, each set of image raw data includes a set of homogeneously distributed lines in k-space with equivalent spatial frequency content, the lines of each set of image raw data cross the center of k-space and cover a continuous range of spatial frequencies, and the positions of the lines of each set of image raw data differ in successive sets of image raw data, and (b) subjecting the sets of image raw data to a regularized nonlinear inverse reconstruction process to provide the sequence of MR images, wherein each of the MR images is created by a simultaneous estimation of a sensitivity of the at least one receiver coil and the image content and in dependency on a difference between a current estimation of the sensitivity of the at least one receiver coil and the image content and a preceding estimation of the sensitivity of the at least one receiver coil and the image content.

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Goettingen, Germany

Shuo Zhang