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Published on: April 13, 2015
Semi-automated analysis of coronary flow Doppler images: validation with manual tracings
V Magagnin1, E G Caiani, L Delfino
1Biomedical Engineering Dept., Polytechnic of Milan, Italy. valentina.magagnin@polimi.it
Insights
A new semi-automated method accurately calculates coronary flow velocity reserve (CFVR) from Doppler profiles. This technique shows promise for detecting microcirculatory disease in conditions like rheumatoid arthritis.
Area of Science:
- Cardiology
- Medical Imaging
- Rheumatology
Background:
- Coronary flow velocity reserve (CFVR) traditionally requires manual Doppler profile tracing.
- Reduced CFVR (<1.9) indicates impaired coronary flow and potential microcirculatory dysfunction.
- Existing methods are time-consuming and operator-dependent.
Purpose of the Study:
- To develop and validate a semi-automated technique for Doppler flow velocity profile analysis.
- To enable automated computation of CFVR and related hemodynamic parameters.
- To compare automated measurements against conventional manual tracings and assess differences in rheumatoid arthritis (RA) patients.
Main Methods:
- Development of a novel semi-automated algorithm for Doppler flow velocity profile detection.
- Validation using linear correlation and Bland-Altman analysis against manual measurements.
- Application of the automated method to compare normal subjects with RA patients.
Main Results:
- The semi-automated technique demonstrated high accuracy and repeatability compared to manual measurements.
- Significant differences in specific automated hemodynamic parameters were observed between normal and RA groups.
- The method successfully automated CFVR and other parameter calculations.
Conclusions:
- The novel semi-automated Doppler analysis is a valid and reliable alternative to manual CFVR measurement.
- This technique can aid in the objective assessment of coronary microcirculation.
- Automated analysis may reveal distinct hemodynamic profiles in patients with rheumatoid arthritis.
Abstract:
Coronary flow velocity reserve (CFVR) is conventionally obtained by manual tracings of Doppler profiles, as ratio of stress vs baseline diastolic peak velocity. When <1.9, this parameter evidences reduced coronary flow and possible microcirculatory disease. Our goals were: 1) to develop a novel technique for semi-automated detection of Doppler flow velocity profile, allowing the automated computation of CFVR and other parameters; 2) to validate this technique in comparison with conventional measurements obtained by manual tracing; 3) to test for differences between normal (N) subjects and patients with rheumatoid arthritis (RA). Linear correlation and Bland-Altman analyses showed that the proposed method was highly accurate and repeatable compared to the manual measurements. Comparison between N and RA groups evidenced significant differences in some of the automated parameters.
