MR Detection Signal Decimation With Equalization for Lower Data Rate
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Solution Overview
Problem
The existing conversion and transmission arrangements for magnetic resonance signals face challenges in reducing data rate without overburdening the decimation filter at the detection coil, leading to high energy consumption and interference emissions, while maintaining signal quality.
Innovation Solution
A decimation filter with a relaxed frequency response is used at the detection coil, allowing increased ripple in the pass band to reduce filter complexity, followed by an equalizing filter in the evaluating device to compensate, thereby reducing resource demands and energy consumption without compromising signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the sampling rate is reduced from 10 MS/s to 2 MS/s to lower data rate, then energy consumption and data transmission load are reduced, but the requirements on the prefilter for preventing noise-related aliasing become extremely difficult to meet
Solution Approach 1:
The filtering function is segmented into two parts: a first filter (anti-aliasing filter) before the analog-to-digital converter and a second filter (decimation filter) after digitization. The first filter handles only the basic anti-aliasing requirement for the reduced sampling rate, while the second filter performs the more complex signal conditioning. This segmentation allows the prefilter to have relaxed requirements while maintaining signal quality.
Solution Approach 2:
The patent performs preliminary digitization at a reduced sampling rate with a simplified filter, then applies further filtering in the digital domain. This preliminary action allows the analog filter to be simpler while the more demanding filtering requirements are met in the digital domain where they are more easily implemented.
2Productivity
If a decimation filter with severe frequency response requirements is used to reduce data rate, then transmission requirements are relaxed, but the filter complexity and resource demands increase strongly
Solution Approach 1:
The patent replaces complex analog filter requirements with digital signal processing. Instead of demanding severe frequency response from analog components, the solution uses digital filtering after ADC, substituting mechanical/analog complexity with computational processing that is more flexible and easier to optimize.
Solution Approach 2:
The patent changes the operating parameters by performing filtering at different stages: the first filter operates with relaxed parameters suitable for the reduced sampling rate, while the second digital filter handles the signal conditioning with optimized parameters. This parameter change across domains (analog to digital) resolves the contradiction.
3Quantity of substance
If the sampling rate is reduced to lower data rate, then wireless transmission becomes feasible, but noise-related aliasing prevention becomes extremely difficult to achieve
Solution Approach 1:
The filtering function is segmented into two parts: a first filter (anti-aliasing filter) before the analog-to-digital converter and a second filter (decimation filter) after digitization. The first filter handles only the basic anti-aliasing requirement for the reduced sampling rate, while the second filter performs the more complex signal conditioning. This segmentation allows the prefilter to have relaxed requirements while maintaining signal quality.
Solution Approach 2:
The digital domain acts as an intermediary between the reduced sampling rate and the requirement for aliasing prevention. The first filter performs basic anti-aliasing, then the digital decimation filter further processes the signal to ensure noise-related aliasing is prevented, using the digital domain as a mediator to achieve reliability without requiring severe analog filter requirements.
Data Source
AI summary
A system and method for converting an analog detection signal of a magnetic resonance detection coil into a digital detection signal and for transmitting the detection signal to an evaluating device. In an embodiment, the detection signal is digitized by an analog-to-digital converter, decimated by a decimation filter, transmitted through a transmission route, then equalized by an equalizing filter.


