MRI Scanning Prediction Modes for Speed and Quality
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Solution Overview
Problem
Current MRI technologies face a challenge in achieving high-speed and high-quality imaging, as reducing scan time negatively impacts image quality, necessitating a method to enhance both speed and quality simultaneously.
Innovation Solution
The method involves acquiring original k-space data for each scanning plane, determining the type of the plane, and using either MR intra-frame or inter-frame prediction modes to generate high-resolution images, leveraging structural correlations between neighboring planes to improve image resolution and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If scan time is reduced to improve imaging speed, then productivity is improved, but image quality deteriorates
Solution Approach 1:
The patent applies preliminary action by acquiring low-resolution image data quickly first, then using prediction algorithms to generate high-resolution images subsequently. This separates the time-critical acquisition phase from the quality-enhancement phase, allowing fast initial scanning followed by computational refinement.
Solution Approach 2:
The patent introduces prediction algorithms as an intermediary process between raw low-resolution acquisition and final high-resolution output. This intermediary computational step bridges the gap between fast acquisition and quality requirements without requiring longer scan times.
2Manufacturing precision
If scan time is extended to improve image quality, then manufacturing precision is improved, but productivity deteriorates
Solution Approach 1:
The patent performs preliminary low-resolution acquisition that captures essential structural information quickly, then uses this as a foundation for generating high-resolution images through prediction, avoiding the need for extended scanning while maintaining quality.
Solution Approach 2:
The patent creates a low-resolution copy of the image data first, then uses this copy as input for prediction algorithms that generate the high-resolution version. This copying approach allows quality enhancement without re-acquisition.
3Manufacturing precision
If high-resolution imaging is achieved through traditional methods, then manufacturing precision is improved, but loss of time increases
Solution Approach 1:
The patent replaces the mechanical/physical extension of scan time with a computational algorithmic approach. Instead of spending more time acquiring data, the system uses prediction algorithms to computationally generate high-resolution images from quickly acquired low-resolution data.
Solution Approach 2:
The patent performs preliminary acquisition of essential low-resolution data that captures main structural features, then uses prediction to fill in high-resolution details, avoiding the need for prolonged high-resolution acquisition.
Data Source
AI summary
Methods, apparatuses, electronic devices for MRI scanning are provided, in which in each scanning plane segment, original k-space data of a current scanning plane is obtained, and a first plane image of the current scanning plane is generated based on the original k-space data, the type of the current scanning plane is determined, and the second plane image of the current scanning plane is generated based on the first plane image of the current scanning plane with a prediction mode corresponding to the type of the current scanning plane.