Shanghai United Imaging Healthcare Co., Ltd.

Renkuan Zhai

Weiguo Zhang

Guobin Li

Chaohong Wang

Zhaopeng Li

Qiang Zhang

Lingzhi Hu

Meiling Ji

Gongji Zhang

Systems and methods for image processing are provided in the present disclosure. The systems and methods may obtain an image; determine a current resolution level of the image; determine, based on the current resolution level of the image, from a group of resolution level ranges, a reference resolution level range corresponding to the image; determine a target processing model corresponding to the reference resolution level range; and/or determine a processed image with a target resolution level by processing the image using the target processing model, the target resolution level of the processed image being higher than the current resolution level of the image.

Systems and methods for image processing

A system and method for magnetic resonance imaging reconstruction using novel k-space sampling sequences is provided. The method includes dividing k-space into a plurality of regions along a dividing direction; scanning an object using a plurality of sampling sequences; acquiring a plurality of groups of data lines; filling the plurality of groups of data lines into the plurality of regions of the k-space; and reconstructing an image based on the filled k-space.

System and method for magnetic resonance imaging reconstruction using novel k-space sampling sequences

A system and method for modifying RF pulse generated by an MRI system are provided. The method may include: obtaining an excitation variable-rate selective excitation (VERSE) factor and a refocusing VERSE factor; determining a first slice-selection gradient waveform based on an excitation factor and a reference excitation slice-selection gradient waveform; determining a second slice-selection gradient waveform based on a refocusing factor and a reference refocusing slice-selection gradient waveformslice-selection gradient waveformslice-selection gradient waveform; determining an excitation pulse based on the first slice-selection gradient waveform; determining a refocusing pulse based on the second slice-selection gradient waveform, wherein a ratio of the decimal part of the excitation factor to the decimal part of the refocusing factor is equal to a ratio of the amplitude of the first reference waveform to the amplitude of the reference refocusing slice-selection gradient waveform.

System and method for amplitude reduction in RF pulse design

Method and Apparatus for eliminating motion artifacts in magnetic resonance imaging are disclosed according to the present invention. The present invention relates to magnetic resonance imaging field. The method for eliminating motion artifacts in magnetic resonance imaging according to the present invention utilizes the concept of iterative approximation to control the difference between the data lines in the K-space caused by motions and allow the common features between the data lines to be remained, such that the motion artifacts in the reconstructed image are restrained and the motion artifacts caused under various circumstances are well restrained. Accordingly, the quality of the magnetic resonance imaging is improved.

Method and apparatus for eliminating motion artifact in magnetic resonance imaging

A method and an apparatus for reconstruction of magnetic resonance imaging are provided. The method includes collecting data in each initial channel and filling the data in an initial K-space, the data including data in a calibration data area and data in an undersampled area; constructing a target virtual space, and mapping initial K-space data to the target virtual space; constructing, in the target virtual space, a target optimized virtual space by retaining channel data having a high signal-to-noise ratio; filling out the undersampled area in the target optimized virtual space, and acquiring complete data in the target optimized virtual space; converting the complete data in the target optimized virtual space to an image domain to obtain an image. The method advantageously increases the signal-to-noise ratio of the channel data and significantly improves the image quality.

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Shanghai, China

Renkuan Zhai