General Electric Company

Ge Precision Healthcare LLC

Stephen Joseph Garnier

Xiaoli Zhao

Christopher Judson Hardy

Yongchuan Lai

Dawei Gui

Ek Tsoon Tan

Hongbin Wang

Weiwei Zhang

Dominic Michael Graziani

Pengfei Lu

Hao Shen

Lisha Nie

Zhenghui Zhang

The present invention provides a method and apparatus for correcting a uniformity of a magnetic resonance image, the method including: acquiring a first uniformity enhancement image by a phased-array uniformity enhancement method; and dividing the first uniformity enhancement image by a receiving sensitivity distribution value of a body coil in a magnetic resonance imaging device, so as to acquire a second uniformity enhancement image. The method further includes: dividing the second uniformity enhancement image by a spatial signal distribution value resulting from a field strength distribution of a transmitting radio-frequency field, so as to acquire a third uniformity enhancement image.

Method and apparatus for correcting uniformity of a magnetic resonance image

A controller that is operatively connected with a magnet assembly, which defines a target volume; and an image processor, which is configured to obtain calibration data from the controller; map Btransmit intensity from the magnet assembly to the target volume, based on the calibration data; calculate a Btransmit shading correction based at least on the map of Btransmit intensity and on pulse sequence parameters; obtain k-space data of an imaging subject within the target volume from the controller operating the magnet assembly based on the pulse sequence parameters; develop an MR image from the k-space data; and apply the Btransmit shading correction to the MR image.

Method and apparatus for using B1 map to correct intensity of magnetic resonance images

A method includes obtaining a plurality of magnetic resonance (MR) coil images of a subject of interest, each MR coil image being generated from one of an array of MR receiving coils; combining the plurality of coil images to generate an image estimate of the subject of interest; performing a multichannel blind deconvolution (MBD) process including: deriving coil sensitivity information for every one of the array of MR receiving coils based on the image estimate or a filtered image estimate derived from the image estimate; updating the image estimate or the filtered image estimate using the derived coil sensitivity information to generate an updated image estimate; and applying a homomorphic filter to the image estimate to derive the filtered image estimate, or to the updated image estimate to derive a filtered updated image estimate, or a combination thereof.

Image correction using multichannel blind deconvolution with homomorphic filtering

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Waukesha, WI, United States of America

Stephen Joseph Garnier