MRI Spectroscopy Concentration Accuracy via External Factor Compensation
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Solution Overview
Problem
Magnetic resonance imaging (MRI) techniques face challenges in accurately determining the concentration of substances within a target region due to external factors affecting measurement data, such as characteristics of the MRI apparatus and specimen, leading to inaccuracies in quantitative analysis.
Innovation Solution
The implementation of a magnetic resonance spectroscopic method using an MRI apparatus that compensates for external factors by determining an external factor compensation value through a Gaussian model, and employing the Levenberg-Marquardt algorithm to minimize differences between reference and measurement data, thereby accurately determining the concentration of substances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional MRI measurement is used, then the measurement process is simple, but the measurement precision deteriorates due to external factors affecting the data
Solution Approach 1:
The patent applies preliminary action by obtaining reference data from reference substances before performing the actual measurement. This reference data is used to establish a baseline that compensates for external factors affecting the measurement. The system performs preliminary characterization of the MRI apparatus and specimen effects, then uses this information to correct the subsequent measurement data, thereby improving concentration determination accuracy without adding complexity to the main measurement process
Solution Approach 2:
The patent introduces an intermediary compensation mechanism using reference substances and their measured reference data. This intermediary layer acts as a mediator between the raw measurement data and the final concentration determination. By comparing actual measurement data with reference data from known substances, the system can identify and compensate for external factors such as MRI apparatus characteristics and specimen effects, thereby improving measurement precision without requiring direct modification of the measurement process
2Measurement precision
If reference data compensation is applied, then the measurement precision improves, but the loss of time increases due to additional processing steps
Solution Approach 1:
The patent performs compensation calculations using reference data in advance, before the actual substance concentration determination is needed. By pre-processing the reference data and establishing compensation parameters upfront, the system minimizes the additional processing time required during actual measurements. The compensation values are calculated once and can be applied to multiple measurements, reducing repetitive processing
Solution Approach 2:
The patent uses reference substances as copies or proxies for the actual substances being measured. By measuring known reference substances under the same conditions, the system creates reference data that replicates the measurement process and external factors. This copying approach allows the system to model and compensate for external factors without requiring direct intervention in each measurement, thereby reducing processing time while maintaining precision
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 enhances the accuracy of substance concentration determination within the target region by effectively compensating for external factors, improving the precision of quantitative analysis in MRI techniques.
Implementation Method 1
The MRI apparatus refers to an apparatus for obtaining a cross-sectional image of an inside of a subject such as a human, an animal, or a plant, via the NMR. The NMR is a phenomenon in which the nuclei are resonant with radio frequency (RF) pulses at a frequency.
Data Source
AI summary
A magnetic resonance imaging (MRI) apparatus and a magnetic resonance spectroscopic method are provided. The MRI apparatus includes a data collector configured to obtain reference data of reference substances, and obtain measurement data of a target region of a subject. The MRI apparatus further includes a processor configured to determine a reference substance of the target region, among the reference substances, and a concentration of the reference substance, using the reference data, the measurement data, and an external factor compensation value compensating an external factor affecting the measurement data.