MRI Control Unit Dynamic k-Space Termination
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Solution Overview
Problem
In clinical magnetic resonance imaging, efficiently acquiring high-quality image data within a small time window is complex due to the need for optimal spatial coding of k-space data without artifacts, which existing methods struggle to achieve without compromising image quality.
Innovation Solution
A control method for monitoring magnetic resonance image data acquisition involves radiating RF excitation pulses, acquiring and storing raw data, and transmitting them to a monitoring unit while switching gradients for spatial coding, with a termination criterion set by the monitoring unit to optimize k-space readout duration without affecting image quality, allowing for real-time reconstruction and flexible readout patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the data acquisition of magnetic resonance image data is performed efficiently within a small time window, then the productivity is improved, but the manufacturing precision (image quality) may deteriorate due to insufficient k-space sampling
Solution Approach 1:
The patent implements dynamic adjustment of the acquisition strategy by continuously monitoring raw data during the scan and using a monitoring unit to evaluate image quality in real-time. The termination criterion is dynamically determined based on the underlying question and observed image quality, allowing the acquisition to stop early when sufficient quality is achieved, thus optimizing the trade-off between speed and precision.
Solution Approach 2:
The patent employs a feedback mechanism where raw data are transmitted to a monitoring unit that evaluates image quality during acquisition. This feedback loop allows the system to adjust the termination criterion based on actual image quality metrics, ensuring that acquisition stops at the optimal point where sufficient quality is achieved without unnecessary extended scanning, thereby resolving the contradiction between speed and precision.
2Manufacturing precision
If the k-space readout duration is extended to improve image quality, then the manufacturing precision is improved, but the loss of time increases
Solution Approach 1:
The patent applies partial action by acquiring only the necessary portion of k-space data required to achieve the underlying diagnostic question. The monitoring unit evaluates whether sufficient image quality has been achieved and terminates acquisition accordingly, avoiding excessive data collection that would waste time without providing additional diagnostic value.
Solution Approach 2:
The patent changes the termination parameter from a fixed predetermined value to a dynamically determined criterion based on actual image quality evaluation. The monitoring unit assesses image quality metrics and adjusts the termination criterion accordingly, allowing the system to adapt the acquisition duration to the specific diagnostic needs and observed data quality, thus optimizing the balance between image quality and measurement time.
3Manufacturing precision
If complex gradient switching is used for precise spatial coding, then the manufacturing precision is improved, but the device complexity increases
Solution Approach 1:
The patent segments the gradient switching into standardized, pre-defined patterns that are optimized for different imaging scenarios. The control unit implements these segmented gradient patterns systematically, reducing the complexity of managing gradient switching while maintaining precise spatial coding through structured, modular gradient application sequences.
4Adaptability or versatility
If real-time monitoring and reconstruction are implemented, then the adaptability is improved, but the device complexity and energy consumption increase
Solution Approach 1:
The patent implements preliminary action by pre-defining multiple termination criteria and evaluation rules before acquisition begins. The monitoring unit uses these pre-established criteria to evaluate image quality during scanning, allowing real-time adaptation without requiring complex on-the-fly decision algorithms, thus reducing system complexity while maintaining adaptability.
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 method enables efficient acquisition of high-quality magnetic resonance images by optimizing k-space readout duration and allowing for real-time reconstruction, reducing measurement time and costs while minimizing artifacts, and enabling flexible response to changing conditions.
Implementation Method 1
radiate an RF excitation pulse by means of an RF transmission/reception device of the magnetic resonance apparatus
Implementation Method 2
acquire raw data after a time after the radiated excitation pulse... The acquired raw data primarily include echo signals that result from the excitation of the nuclei and the alignment of the nuclear spins
Implementation Method 3
switching different gradients (Gx, Gy, Gz) for spatial coding via readout of k-space corresponding to the imaging area along trajectories that are predetermined by the switched gradients (Gx, Gy, Gz)
Data Source
AI summary
In a control method and control unit to monitor a data acquisition of magnetic resonance image data of an imaging area located in a measurement volume of a magnetic resonance apparatus, an RF excitation pulse is radiated by an RF transmission/reception device of the magnetic resonance apparatus, raw data are acquired after a time after the radiated excitation pulse, by means of the RF transmission/reception device, and store the raw data, the raw data are transmitted to a monitoring unit and (a) through (c) are repeated while switching different gradients for spatial coding by readout of k-space corresponding to the imaging area along trajectories that are predetermined by the switched gradients, up to a termination criterion that is predetermined by the monitoring unit.