Key result
An automated method for analyzing Doppler ultrasound velocity flow diagrams achieved excellent correlation (r = 0.99) with hand-traced reference curves.
An automated image processing method for analyzing Doppler ultrasound velocity flow diagrams demonstrates excellent correlation with manual tracing.
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May streamline Doppler analysis; leaves open prospective clinical validation before adoption.
A highly automated method for the identification and quantization of maximum blood velocity curves from Doppler ultrasound flow diagrams is presented. The method uses an image processing scheme to analyze video-recorded image sequences of flow diagrams. The sequences are acquired, a sequence of images relating to chronological cardiac cycles is extracted, and a maximum blood velocity envelope is determined and quantified. The results are verified against hand-traced reference curves. Excellent correlation of r = 0.99 is achieved.
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Tschirren et al. (2001) studied this question. Automated method for identification and quantization of maximum blood velocity curves vs. Hand-traced reference curves was evaluated on Correlation with hand-traced reference curves (r = 0.99). An automated method for analyzing Doppler ultrasound velocity flow diagrams achieved excellent correlation (r = 0.99) with hand-traced reference curves.
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