MRI Signal Re-Acquisition for Quantization Error Correction
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Solution Overview
Problem
Magnetic resonance imaging (MRI) systems face challenges in detecting and correcting signal anomalies, particularly quantization errors, which can corrupt entire images and are only discovered after the scan is complete, leading to costly re-scans.
Innovation Solution
An MRI system and method that involves using an analog to digital converter (ADC) to detect potential quantization errors by adjusting the gain of the analog signal before digitization, allowing for real-time correction of errors during the scan by re-acquiring specific portions of the signal with adjusted gain, thereby preventing image corruption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the scan time is extended to improve image quality and detection accuracy, then the reliability of image acquisition improves, but the productivity and cost efficiency deteriorate due to increased scanning time and potential re-scans
Solution Approach 1:
The system performs preliminary detection of quantization errors during the scanning process by monitoring digitized signals against expected signal characteristics. This preliminary detection allows the system to identify problematic data before the scan completes, enabling early termination or correction without full re-scanning, thus improving both reliability and productivity
Solution Approach 2:
The system implements feedback mechanisms where detected quantization errors trigger automatic corrective actions. The error detection system provides feedback to the control system, which then adjusts scanning parameters or re-acquires specific data portions, creating a closed-loop system that continuously improves image quality while minimizing total scan time
2Reliability
If real-time error detection and correction mechanisms are implemented, then the reliability of image acquisition improves, but the device complexity and processing requirements increase
Solution Approach 1:
The system employs self-service mechanisms where the MRI system automatically detects and corrects its own errors without external intervention. The quantization error detection and correction systems are integrated into the existing MRI hardware and software architecture, allowing the system to monitor and correct its own signal acquisition processes, thereby improving reliability without proportionally increasing overall system complexity
Solution Approach 2:
The system dynamically adjusts scanning parameters such as gain settings and sampling rates based on detected signal characteristics and error patterns. By changing these parameters in real-time, the system can optimize signal quality and reduce quantization errors without requiring fundamentally new hardware components, thus improving reliability while controlling complexity
Data Source
AI summary
A system and method of acquiring an image at a magnetic resonance imaging (MRI) system is provided. Accordingly, an analog signal based on a pulse sequence and a first gain is obtained. The analog signal is converted into a digitized signal. A potential quantization error is detected in the digitized signal based on a boundary. When the detection is affirmative, a replacement analog signal based on the pulse sequence is received. At least one portion of the replacement analog signal can be based on an adjusted gain. The adjusted gain is a factor of the first gain. The replacement analog signal is digitized into a replacement digitized signal. At least one portion of the replacement digitized signal corresponding to the at least one portion of the replacement analog signal is adjusted based on a reversal of the factor.