| 摘要 |
A method and system for reducing speckle for two and three-dimensional images is disclosed. For two-dimensional imaging, a one and a half or a two-dimensional transducer is used to obtain sequential, parallel or related frames of elevation spaced data. The frames are compounded to derive a two-dimensional image. For three-dimensional imaging, various pluralities of two-dimensional frames of data spaced in elevation are compounded into one plurality of spaced two-dimensional frames of data. The frames of data are then used to derive a three dimensional set of data, such as by interpolation. Alternatively, the various pluralities are used to derive a three-dimensional set of data. An anisotropic filter is applied to the set of data. The anisotropic filter filters at least along the elevation dimension. In either situation, various displays may be generated from the final three-dimensional set of data. A method and system for adjustably generating two and three-dimensional representations is also disclosed. For three-dimensional imaging, at least two sets of three-dimensional data corresponding respectively to two types of Doppler or B-mode data are generated. The sets of data are then combined. An image or a quantity may be obtained from the combined data. By combining after generating the three-dimensional sets of data, the same data (sets of data) may be combined multiple times pursuant to different relationships. Thus, a user may optimize the image or quantity. Likewise, frames of data may be combined pursuant to different persistence parameters, such as different finite impulse response filter size and coefficients. The frames of data may then be re-combined pursuant to different persistence parameters. Original ultrasound data may also be used to re-generate an imaging using the same ultrasound image processes as used for a previous image.The filter perform no filtering in the X, Z plane. It filters (low pass) contributions from neighboring elements in only the Y direction. The filter may be implemented as a 1-D low pass filter in the Y-direction [0.2, 0.4, 1.0, 0.4, 0.2]=(a 1x5x1 anisotropic filter).
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