Two-dimensional color Doppler echocardiography is widely used for assessing blood flow inside the heart and blood vessels. Currently, frame acquisition time for this method varies from tens to hundreds of milliseconds, depending on Doppler sector parameters. This leads to low frame rates of resulting video sequences equal to tens of Hz, which is insufficient for some diagnostic purposes, especially in pediatrics. In this paper, we present a new approach for reconstruction of 2D color Doppler cardiac images, which results in the frame rate being increased to hundreds of Hz. This approach relies on a modified method of frame reordering originally applied to real-time 3D echocardiography.There are no previous publications describing application of this method to 2D Color Doppler data. The approach has been tested on several in-vivo cardiac 2D color Doppler datasets with approximate duration of 30 sec and native frame rate of 15 Hz. The resulting image sequences had equivalent frame rates to 500Hz.

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Aliasing is one of the most common artifacts in 2D color Doppler echocardiography. Existing methods are approximate and the most precise of them require considerable amount of computations. In the proposed paper, we describe an algorithm that modifies only areas with submaximal velocities — areas most prone to aliasing, leaving other untouched in order to facilitate the process of analysis for the radiologist. Algorithm was tested on 10 in-vivo datasets of large animals and have shown the considerable precision and computation efficiency, which made it real-time compatible.

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