Large-view-field adaptive wall filtering method and system based on hierarchical search

Abstract

The invention discloses a large-view-field adaptive wall filtering method and system based on hierarchical search, and the method comprises the steps: dividing a whole image into a plurality of regions through a large window, carrying out the filtering, evaluating the blood flow information content of each region, extracting a region with the blood flow information content higher than a threshold value, and carrying out the local filtering processing through a refined small window, each small window is processed by adopting the optimized specific filtering parameters according to the noise level of the corresponding area, finally image reconstruction is carried out, and a complete ultrasonic blood flow image after wall filtering processing is output. The large-view-field adaptive wall filtering method based on hierarchical search provided by the invention is an efficient wall filtering method suitable for large-capacity data, and the operation efficiency is improved; according to the wall filtering method, clutters can be well suppressed, and the filtering quality is greatly improved.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a hierarchical search-based large field of view adaptive wall filtering method and system. Background technique [0002] Ultrafast ultrasonic plane wave imaging technology can provide large field of view synchronous echo data with high frame rate, and provide more effective original information for large field of view blood flow images. Common filtering algorithms have many shortcomings in processing large field of view data. [0003] The existing wall filtering methods can be roughly divided into three types: (1) The traditional time-domain filter can only process single-point time-domain information for each filter, and two-dimensional images are pieced together by point-by-point filtering, which has low efficiency in large-field image processing. Problems such as poor anti-interference ability, slow speed, and poor filtering effect. (2) The new Singular Value Decomposi...

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Problems solved by technology

[0003] The existing wall filtering methods can be roughly divided into three types: (1) The traditional time-domain filter can only process single-point time-domain information for each filter, and two-dimensional images are pieced together by point-by-point filtering, which has low efficiency in large-field image processing. Problems such as poor anti-interference ability, slow speed, poor filtering effect

(2) The new Singular Value Decomposition filter (SVD filter, Singular ValueDecompostion) can input all the original data at one time, which improves the processing efficiency, but adopts a "one size fits all" filter cut-off setting for the entire image. There is local over- or under-processing of effective information in the non-uniform distribution

(3) The improved sub-area SVD filter divides the entire picture into many small areas for specific processing, which improves the filtering quality, but sacrifices the high-efficiency advantages of the SVD filter

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