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Related Concept Videos

Quality Assurance01:19

Quality Assurance

Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
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Related Experiment Video

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Mechanoluminescent Visualization of Crack Propagation for Joint Evaluation
04:58

Mechanoluminescent Visualization of Crack Propagation for Joint Evaluation

Published on: January 6, 2023

Failure mode and effect analysis-based quality assurance for dynamic MLC tracking systems.

Amit Sawant1, Sonja Dieterich, Michelle Svatos

  • 1Stanford University, Stanford, California 94394, USA. amit.sawant@utsouthwestern.edu

Medical Physics
|February 10, 2011
PubMed
Summary
This summary is machine-generated.

A failure mode and effect analysis (FMEA) framework was developed for dynamic multileaf collimator (DMLC) tumor tracking systems. This quality management approach efficiently allocates resources by prioritizing critical failure modes for dynamic tracking systems.

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Last Updated: Jun 4, 2026

Mechanoluminescent Visualization of Crack Propagation for Joint Evaluation
04:58

Mechanoluminescent Visualization of Crack Propagation for Joint Evaluation

Published on: January 6, 2023

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Quality Management Systems

Background:

  • Dynamic multileaf collimator (DMLC) tumor tracking systems require robust commissioning and quality assurance (QA) frameworks.
  • Ensuring the reliability and accuracy of real-time tumor tracking is critical for effective radiation therapy.

Purpose of the Study:

  • To develop and implement a failure mode and effect analysis (FMEA)-based framework for commissioning and QA of DMLC tumor tracking systems.
  • To systematically identify, analyze, and mitigate potential failure modes in DMLC tracking delivery.

Main Methods:

  • A systematic FMEA was conducted on a prototype real-time tumor tracking system using electromagnetic transponders and DMLC.
  • Risk Probability Numbers (RPNs) were calculated to prioritize failure modes for QA procedures.
  • Commissioning and QA procedures were designed to assess coordinate transformation, system latency, spatial/dosimetric accuracy, and error response.

Main Results:

  • FMEA guided the development of targeted QA procedures, with high RPN failure modes (≥125) tested monthly.
  • System latency was measured at approximately 193 ms, with accurate and consistent response to error conditions.
  • The DMLC tracking system demonstrated high accuracy (within 3%-3 mm gamma, 100% pass rate) for various motion patterns.

Conclusions:

  • FMEA is a powerful tool for creating flexible quality management frameworks for DMLC tracking.
  • The FMEA-based QM framework ensures efficient resource allocation by focusing on critical failure modes.
  • The proposed guidelines serve as a living document for continuous improvement in DMLC tracking technology.