MRI Apparatus Breath Holdable Time Parameter Adjustment
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Solution Overview
Problem
Conventional magnetic resonance imaging (MRI) techniques have limited preset imaging conditions, leading to varying image quality based on the operator's knowledge and skills, especially when adjusting for breath holdable times, which can differ significantly among patients, particularly the elderly.
Innovation Solution
An MRI apparatus that adjusts imaging parameter values based on breath holdable time, allowing operators to set appropriate imaging conditions independently of their expertise, using a processor and memory to store and execute instructions for receiving breath holdable time and adjusting parameters such as TR, echo time, slice thickness, and matrix sizes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If preset imaging conditions are used in conventional MRI techniques, then imaging can be executed with standardized protocols, but image quality varies depending on operator knowledge and skills
Solution Approach 1:
The system automatically adjusts imaging parameters based on breath holdable time information, enabling the imaging apparatus to self-optimize conditions without requiring operator expertise. The processor receives breath holdable time data and autonomously determines optimal parameter combinations, making the system serve itself rather than relying on human judgment.
Solution Approach 2:
The system dynamically changes imaging parameters (TR, TE, slice thickness, matrix size) based on the breath holdable time parameter. By making parameters adaptive rather than fixed, the system maintains optimal image quality across different patient conditions and operator skill levels.
2Manufacturing precision
If operators manually adjust imaging conditions according to subject state, then image quality can be optimized for individual patients, but the process requires high operator knowledge and skills
Solution Approach 1:
The system introduces breath holdable time as an intermediary parameter that mediates between patient physiological state and imaging parameters. Instead of requiring operators to directly interpret complex patient states and make judgment calls, the system uses this objective measurable parameter as a bridge to automatically determine optimal imaging conditions.
Solution Approach 2:
The system replaces the manual mechanical adjustment process (operator visually assessing patient and manually setting parameters) with an automated computational system. The processor calculates optimal parameters based on breath holdable time data, substituting human expertise with algorithmic processing.
3Productivity
If imaging parameters are fixed in preset protocols, then operation is simple and quick, but adaptation to different breath holdable times is limited
Solution Approach 1:
The system transitions from static fixed parameters to dynamic adaptive parameters. Imaging parameters are no longer fixed but dynamically adjusted based on real-time breath holdable time information, allowing the system to maintain both speed and adaptability.
Solution Approach 2:
The system creates a universal imaging protocol that can adapt to multiple different patient conditions and breath holdable times. Rather than requiring separate fixed protocols for each scenario, a single adaptive protocol serves multiple functions across diverse clinical situations.
Data Source
AI summary
A magnetic resonance imaging apparatus includes a processor and a memory. The memory stores processor-executable instructions that, when executed by the processor, cause the processor to receive a breath holdable time of a subject and adjust a parameter value of an imaging parameter included in imaging condition for imaging of the subject, according to the breath holdable time.