MRI Preview Reconstruction via Data Subset Selection
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Solution Overview
Problem
The reconstruction of magnetic resonance images in MRI examinations is time-consuming, particularly when iterative reconstruction techniques and compressed-sensing methods are used, leading to long computational times that delay operator decisions on further procedures.
Innovation Solution
A method for reconstructing a preview of MRI examinations by selecting a subset of magnetic resonance data, which allows for rapid generation of preview images without additional computational effort, enabling operators to assess data quality and decide on further procedures efficiently, using compressed sensing or iterative reconstruction techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If iterative reconstruction techniques and compressed-sensing methods are used to achieve greater temporal resolution, then image quality and temporal resolution are improved, but computational time increases significantly
Solution Approach 1:
The patent divides the complete magnetic resonance data set into multiple data subsets, where each subset contains a portion of the acquired k-space data. By reconstructing images from these smaller subsets rather than processing the entire data set at once, the computational burden is significantly reduced while still achieving acceptable temporal resolution through selective reconstruction of relevant anatomical regions or time points.
2Reliability
If complete magnetic resonance data is reconstructed to ensure comprehensive image quality, then diagnostic accuracy is improved, but reconstruction time increases beyond acceptable limits
Solution Approach 1:
The patent extracts and reconstructs only the essential or most diagnostically relevant portions of the magnetic resonance data rather than processing the complete data set. This selective extraction allows for rapid preview generation that maintains sufficient diagnostic quality for preliminary assessment, while the full reconstruction can be performed subsequently if needed for definitive diagnosis.
3Productivity
If rapid preview reconstruction is implemented to enable quick operator decisions, then workflow efficiency is improved, but image quality may be compromised
Solution Approach 1:
The patent implements partial reconstruction by processing only a subset of the acquired magnetic resonance data to generate preview images. This partial action provides sufficient image quality for rapid operator assessment and decision-making regarding patient management, while avoiding the time-consuming full reconstruction. The approach accepts that preview images may not achieve the same quality level as complete reconstructions, but this is adequate for the intended purpose of quick evaluation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables rapid decision-making by operators, reduces unnecessary data recording, and optimizes MRI apparatus usage, allowing for efficient operation and timely patient release or further imaging without compromising image quality.
Implementation Method 1
High frequency (HF) pulses from a high frequency antenna unit of the magnetic resonance apparatus are radiated into the examination object, causing a magnetization of at least a part of the examination object. As a result of the magnetization, magnetic resonance signals are triggered
Implementation Method 2
In a magnetic resonance apparatus, rapidly switched gradient fields may be overlaid onto a static basic magnetic field
Data Source
AI summary
The disclosure relates to a method for reconstructing a preview of a magnetic resonance examination, a magnetic resonance apparatus, and a computer program product. The method includes recording a first set of magnetic resonance data, from which a second set of magnetic resonance data is selected. Based on the second set of magnetic resonance data, a preview is reconstructed.