MRI Processing Circuitry for Golden Angle Scan Image Reconstruction
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Solution Overview
Problem
Conventional magnetic resonance imaging (MRI) techniques struggle to produce high-quality images within restricted processing time, particularly in radial scans, due to low complementing accuracy in peripheral k-space regions and difficulties in applying methods like k-t BLAST and k-t SENSE to golden angle scans.
Innovation Solution
The MRI apparatus employs processing circuitry to generate reference k-space data, partial k-space data items, difference k-space data items, and composite images by combining reference and difference images, reducing computation and improving image quality through inverse transform and reconstruction processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If data in peripheral region of k-space is collected sparsely to reduce the amount of collected k-space data, then the imaging period can be shortened, but the complementing accuracy in the peripheral region of k-space becomes low causing profile line blur
Solution Approach 1:
The patent segments k-space data into multiple groups based on filling positions, creating separate reference k-space data and difference k-space data for each group. This segmentation allows independent processing and reconstruction for each segment, improving overall image quality while maintaining efficient processing.
Solution Approach 2:
The patent performs preliminary reconstruction processing to generate reference images and reference k-space data before generating difference images. This preliminary action establishes a baseline that improves the accuracy of subsequent difference calculation and complementing processes.
2Productivity
If conventional reconstruction methods are used to process radial scan data, then the imaging period can be shortened, but it is difficult to apply methods like k-t BLAST and k-t SENSE to golden angle scans
Solution Approach 1:
The patent creates a universal reconstruction method that works with radial scan data collected at different angles including golden angle scans. By generating reference k-space data and difference k-space data based on filling positions, the method becomes adaptable to various scan types while maintaining processing efficiency.
3Loss of time
If the amount of collected k-space data is reduced to shorten the imaging period, then processing time is reduced, but the quality of the obtained image may be low
Solution Approach 1:
The patent applies partial action by processing only difference k-space data rather than complete k-space data, reducing computational load.同时，通过选择性采集和差异处理，在保证图像质量的前提下减少了数据处理量。
Solution Approach 2:
The patent introduces reference k-space data and difference k-space data as intermediary elements in the reconstruction process. These intermediaries facilitate efficient processing by separating static and dynamic components, improving both processing speed and image quality.
Data Source
AI summary
According to one embodiment, a magnetic resonance imaging apparatus includes processing circuitry. The processing circuitry configured to generate a plurality of reference partial k-space data items based on the filling positions and reference k-space data, generate a plurality of difference k-space data items by taking differences between the partial k-space data items and the reference k-space data items to each of the frames, generate a plurality of difference images by applying the reconstruction processing respectively to the difference k-space data items, and generate a plurality of composite images by combining the reference image with each of the difference images.