MRI Coil Handheld Diagnostic Module for Failure Prediction

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Solution Overview

Problem

Current MRI systems lack a reliable method to predict coil failures before they occur, leading to disrupted operations and rescheduled exams.

Innovation Solution

A handheld Diagnostic Interface Module (DID) utilizing the Internet of Things (IoT) to remotely monitor MRI coils by measuring key electrical conditions, transmitting data to a remote storage area, and using AI to predict potential failures.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If MRI coils are monitored only during operation, then device complexity is minimized, but reliability deteriorates because failures cannot be predicted before they occur

Engineering Contradiction:

Improvecoil failure predictionVSAvoidmonitoring system

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The MRI coil system performs self-diagnosis by incorporating monitoring capabilities that allow the coil to detect and report its own operational status and potential failures without requiring external intervention during normal operation

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary monitoring and detection of coil failures before they actually occur during MRI operations, allowing preventive maintenance and avoiding disruption to imaging schedules

Inventive Principle:

Principle #10Preliminary action

2Reliability

If continuous monitoring of MRI coils is implemented, then reliability is improved, but loss of time increases due to additional monitoring procedures

Engineering Contradiction:

Improvecoil status detectionVSAvoidmonitoring time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The monitoring system operates continuously in the background during normal MRI operations without interrupting or pausing the useful imaging activities, ensuring both continuous detection and uninterrupted patient care

Inventive Principle:

Principle #20Continuity of useful action

Solution Approach 2:

The system replaces manual or periodic mechanical checking of coil status with automated electronic monitoring that continuously tracks coil health parameters without requiring physical intervention or time away from patient care

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If manual inspection of MRI coils is performed, then device complexity is minimized, but measurement precision deteriorates because failures cannot be detected until they manifest

Engineering Contradiction:

Improvefailure detection accuracyVSAvoiddetection system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system implements continuous feedback loops that monitor coil operational parameters and provide real-time information about coil health status, enabling precise detection of deviations from normal operation before they result in failures

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250035729A1MRI Coil with a Stackable Handheld Diagnostic Interface Module and Method of Use For Human and Veterinary Applications

Publication Date: 2025.01.30 ALRADDADI FAHAD

AI summary

A Handheld Diagnostic Interface Device (HDID) that includes means for connecting the Handheld Diagnostic Interface Device (HDID) to a frequency-testing power source, said Handheld Diagnostic Interface Device (HDID) adapted for: (a) measuring the status of certain key electrical conditions for the coil; (b) receiving a response back from the signals initially aimed at the coil in question; (c) processing those responses received; and (d) transferring the measured electronic status (using a specific code number for the coil) to a remote storage area on the internet. A method of use is also disclosed.