Key result
Robust automatic spectral envelope estimation improves accuracy by ~8% versus existing methods.
Why the study?
Accurate ultrasound Doppler spectrogram envelope estimation is essential for cardiovascular diagnosis, but intrinsic spectral broadening and speckle noise limit existing methods.
The proposed automatic spectral envelope estimation method improves accuracy by 8% over existing methods in ultrasound Doppler spectrograms.
May enhance spectral analysis in cardiac imaging; leaves open prospective clinical validation before adoption.
Accurate estimation of ultrasound Doppler spectrogram envelope is essential for clinical pathological diagnosis of various cardiovascular diseases. However, due to intrinsic spectral broadening in the power spectrum and speckle noise existing in ultrasound images, it is difficult to obtain the accurate maximum velocity. Each of the standard existing methods has their own limitations and does not work well in complicated recordings. This paper proposes a robust automatic spectral envelope estimation method that is more accurate in phantom recordings and various in-vivo recordings than the currently used methods. Comparisons were performed on phantom recordings of the carotid artery with varying noise and additional in-vivo recordings. The accuracy of the proposed method was on average 8% greater than the existing methods. The experimental results demonstrate the wide applicability under different blood conditions and the robustness of the proposed algorithm.
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Li et al. (2019) studied Cardiovascular diseases. Robust automatic spectral envelope estimation method vs. Standard existing methods was evaluated on Accuracy of spectral envelope estimation (8% greater accuracy). The proposed robust automatic spectral envelope estimation method was on average 8% more accurate than existing methods in phantom and in-vivo recordings.
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