Iterative Reconstruction of Gradient Echo Magnetic Resonance Images

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By upsampling the initial image and modulating the off-resonance phase map in gradient echo magnetic resonance imaging, combined with iterative calculation and data consistency algorithms, the signal loss problem caused by B0 field inhomogeneity is solved, improving the accuracy of image reconstruction and signal-to-noise ratio.

CN115136021BActive Publication Date: 2026-05-26KONINKLIJKE PHILIPS NV

Patent Information

Authority / Receiving Office: CN · China
Patent Type: Patents(China)
Current Assignee / Owner: KONINKLIJKE PHILIPS NV
Filing Date: 2021-02-03
Publication Date: 2026-05-26

AI Technical Summary

Technical Problem

In gradient echo magnetic resonance imaging, the signal loss problem caused by the inhomogeneity of the B0 field is difficult to solve effectively with existing technologies.

Method used

By upsampling the initial image and modulating it using the off-resonance phase map, combined with an iterative scheme and data consistency algorithm, the image is reconstructed and corrected, reducing signal loss caused by the off-resonance effect.

Benefits of technology

It effectively reduces the phase modulation effect within individual voxels, gradually improves image quality, and enhances the accuracy and signal-to-noise ratio of image reconstruction.

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Abstract

This document discloses a medical system (100, 300). The execution of machine-executable instructions (120) causes a processor (104) to perform the following operations: receiving (200) measured gradient echo k-space data (122); receiving (202) a partial resonance phase map (124); reconstructing (204) an initial image (126) based on the measured gradient echo k-space data; calculating (206) an upsampled phase map (128) based on the partial resonance phase map; calculating (208) an upsampled image (130) based on the initial image; calculating (210) a modulated image (132) by modulating the upsampled image using the upsampled phase map; and calculating (212) a corrected image (134), including iteratively performing the following operations. The iterative calculation includes: calculating (214) updated k-space data by applying a data consistency algorithm (138) to the k-space representation of the modulated image and the measured gradient echo k-space data; and calculating (216) an updated image (142) based on the updated k-space data. Calculating the updated image includes demodulation using the upsampled phase map and applying a smoothing algorithm.

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