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Accelerated Reliability Growth Test for Magnetic Resonance Imaging System Using Time-of-Flight Three-Dimensional

Pradeep Kumar Anand1, Dong Ryeol Shin2, Navrati Saxena2

  • 1College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, Korea.

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|November 14, 2019
PubMed
Summary

This study introduces an accelerated reliability growth test for magnetic resonance imaging (MRI) systems, reducing test duration from 537 to 55 days using a novel TOF3D pulse sequence. This method efficiently assesses MRI system reliability with a single sample, overcoming traditional challenges.

Keywords:
Crow AMSAAMRIMRI usage scenarioaccelerated testgrowth testmagnetic resonance imagingsystem reliability test

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Area of Science:

  • Medical Imaging Technology
  • Reliability Engineering
  • Materials Science

Background:

  • Magnetic Resonance Imaging (MRI) systems are complex, high-cost, long-life products.
  • Traditional system reliability testing during development faces challenges like large sample sizes, high costs, and extended durations.
  • Assessing MRI system reliability efficiently is crucial for product development and deployment.

Purpose of the Study:

  • To introduce a novel, accelerated approach for MRI system reliability testing.
  • To significantly reduce the time and resource requirements for reliability testing.
  • To validate the effectiveness of the accelerated test in predicting system lifespan.

Main Methods:

  • Development of an accelerated reliability growth test using a time-of-flight three-dimensional (TOF3D) pulse sequence.
  • Construction of a nominal day usage scenario based on real-world hospital data.
  • Calculation of lifetime stress and application of a vibration energy model to map stress and reduce test duration.
  • Utilizing a Crow AMSAA plot for reliability assessment.

Main Results:

  • The accelerated test successfully reduced the testing duration from 537 days to 55 days.
  • The developed TOF3D pulse sequence simulates high-energy usage and exerts significant vibration on the gradient coil and MRI system.
  • The Crow AMSAA plot indicated that the system design reached its useful life after the infant mortality phase.

Conclusions:

  • The proposed accelerated reliability growth test is an effective method for evaluating MRI system reliability in a significantly reduced timeframe.
  • This novel approach overcomes the limitations of traditional testing methods, enabling faster product development cycles.
  • The study demonstrates the feasibility of achieving reliable system design assessment with a single sample size and reduced test duration.