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The 6sigma quality approach for quantitative arteriography performance improvement.
Jean Liénard1, Francisco Sureda, Gérard Finet
1GE Medical Systems Europe, Buc, France. lienard@gemse.fr
The International Journal of Cardiovascular Imaging
|July 11, 2002
Summary
This study improved quantitative angiography software accuracy by applying 6sigma methodology. The catheter calibration process was enhanced, leading to better control over key parameters for reliable clinical use.
Area of Science:
- Medical imaging analysis
- Quality management in healthcare technology
Background:
- Quantitative angiography (QA) requires validated tools for clinical accuracy and reliability.
- Assessing the performance of QA software is crucial for medical applications.
Purpose of the Study:
- To analyze and improve the performance of the General Electric QA software method.
- To enhance the accuracy and precision of quantitative angiography procedures.
Main Methods:
- Application of the 6sigma methodology to assess software performance.
- Identification and improvement of the catheter calibration procedure using a design for 6sigma approach.
Main Results:
- The catheter calibration procedure was identified as the weakest function, sensitive to parameters like point-spread-function, field-of-view, and catheter dimensions.
- Implementation of design for 6sigma principles led to quantifiable control over key QA accuracy and precision parameters.
Conclusions:
- The 6sigma methodology effectively identified and addressed weaknesses in quantitative angiography software.
- Improvements in the catheter calibration process enhance the overall reliability and accuracy of quantitative angiography for clinical applications.