Ejection fraction by combined inverse Fourier analysis and second-derivative technique: correlation with isocontour...

Area of Science:

• Cardiovascular imaging
• Medical physics
• Nuclear cardiology

Background:

• Accurate measurement of ejection fractions (EFs) is crucial for assessing cardiac function.
• Conventional techniques for calculating EFs from nuclear ventriculograms can be operator-dependent.
• Nuclear ventriculography provides functional information about the heart's pumping ability.

Purpose of the Study:

• To develop and evaluate a semi-automated edge-detection technique for measuring ejection fractions (EFs) from nuclear ventriculograms.
• To compare the accuracy and reproducibility of the new method against a conventional isocontour technique.

Main Methods:

• A novel semi-automated edge-detection algorithm was developed using inverse Fourier analysis and second-derivative techniques.
• The technique was applied to nuclear ventriculograms to calculate left and right ventricular EFs.
• Results were compared statistically with those obtained from a conventional isocontour method.

Main Results:

• The semi-automated method yielded ejection fraction values statistically identical to the conventional technique for the left ventricle.
• A greater variance was observed between the semi-automated and conventional methods for the right ventricle.
• The new method demonstrated improved reproducibility due to reduced operator intervention, despite a longer processing time.

Conclusions:

• The developed semi-automated edge-detection technique offers a reproducible approach for measuring left ventricular ejection fractions from nuclear ventriculograms.
• Further refinement may be needed to improve accuracy for right ventricular ejection fraction measurements.
• Reduced operator dependency enhances the reliability of the EF measurements.