Dynamic Contrast Enhanced Magnetic Resonance Fast Imaging Method Based on Neighborhood Shared Compressed Sensing

Abstract

The present invention provides a K space data rapid acquisition and reconstruction method which integrates compressed sensing sampling technology to a neighborhood sharing sampling trajectory. The method is used for dynamic contrast enhanced magnetic resonance fast imaging. The method comprises the random division of a K space, compressed sensing sampling matrix design, neighborhood shared compressed sensing sampling matrix acquisition, data collection based on a neighborhood shared compressed sensing method, and data reconstruction based on the neighborhood shared compressed sensing method. According to a sequence, the scanning speed can be improved further based on neighborhood sharing, a higher imaging time resolution and a higher image signal-noise ratio are obtained, the high image quality is ensured, and the method is more suitable for clinical dynamic contrast enhanced magnetic resonance imaging.

Description

technical field [0001] The invention is a neighborhood sharing (viewsharing) K-space sampling trajectory optimization acquisition method integrating compressed sensing (compressed sensing, CS) technology, which belongs to the field of magnetic resonance medical imaging technology and can provide high time resolution and high signal-to-noise ratio Dynamic contrast-enhanced (DCE-MRI) images of organs can be used for disease diagnosis of abdominal organs, quantitative measurement of functional parameters, and prognosis evaluation. Background technique [0002] Chronic kidney disease and liver cancer have become global public health problems. In developed countries, the prevalence of chronic kidney disease in the general population is as high as 6.5% to 16%, which has brought a heavy burden to global health finances. According to a "Chronic Kidney Disease Epidemiological Survey in China" in 2012, the prevalence of chronic kidney disease in the adult population in my country has ...

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Problems solved by technology

3D FSPGR sequences usually need to be combined with parallel imaging technology to achieve fast abdominal dynamic contrast-enhanced scanning. Clinically, due to the large coverage of abdominal imaging and the large number of phase encoding steps, the imaging time resolution is greatly limited.

[0006] However, in order to achieve large-scale coverage and obtain sufficiently high-resolution enhanced images in clinical 3D imaging of the upper abdomen, more layers (≥32 layers) and larger sampling matrices (phase encoding k y ≥128, frequency code k x ≥128) and multiple excitations (Nex≥1), the time resolution of the sequence is between 10 and 60 seconds, which makes the resolution of the time-signal intensity curve collected is low, which is far from meeting the precise measurement of functional parameters, or at the expense of Spatial resolution to compensate, resulting in a decrease in image spatial resolution

Clinical 3D FSPGR sequence scanning is a full-sampling method, which usually needs to be combined with parallel imaging technology for image signal acquisition. However, parallel imaging technology leads to a decrease in the image signal-to-noise ratio (SNR), and the acceleration factor is usually limited to within three times. The higher the value, the lower the signal-to-noise ratio, which hinders the further improvement of temporal resolution

On the other hand, the TWIST sequence scanning method is to sample the central area and peripheral area of ​​K-space at intervals. During the reconstruction process, adjacent K-space data sets need to be merged to ensure a high spatial resolution of the image, but the frame rate of the image is reduced. Limits the improvement of its temporal resolution

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