CN114170239A - Large-view-field self-adaptive wall filtering method and system based on hierarchical search - Google Patents
Large-view-field self-adaptive wall filtering method and system based on hierarchical search Download PDFInfo
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Abstract
The invention discloses a large-view-field self-adaptive wall filtering method and a system based on hierarchical search. The large-view-field self-adaptive wall filtering method based on hierarchical search can be suitable for a high-efficiency wall filtering method of large-capacity data, and the operation efficiency is improved; the wall filtering method can well inhibit clutter and greatly improve the filtering quality.
Description
Technical Field
The invention relates to the field of medical image processing, in particular to a large-view-field self-adaptive wall filtering method and system based on hierarchical search.
Background
The ultrafast ultrasonic plane wave imaging technology can provide high-frame-frequency large-field-of-view synchronous echo data, more effective original information is provided for a large-field-of-view blood flow image, and a common filtering algorithm has many defects in the aspect of processing the large-field-of-view data.
The existing wall filtering methods are roughly divided into three types: (1) the traditional time domain filter can only process single-point time domain information every time of filtering, two-dimensional images are pieced up through point-by-point filtering, and the problems of low efficiency, poor interference resistance and the like exist in large-view-field image processing, the speed is low, and the filtering effect is poor. (2) The novel Singular Value decomposition filter (SVD filter) can input all original data at one time, so that the processing efficiency is improved, but the whole image is subjected to 'one-time' filtering cutoff setting, and the processing of local excess or lack exists in the face of effective information which is not uniformly distributed in a large view field image. (3) The improved partitioned SVD filter divides the whole picture into a plurality of small areas to be respectively subjected to specific processing, so that the filtering quality is improved, but the advantage of high efficiency of the SVD filter is sacrificed.
Therefore, a more reliable solution is now needed.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a large-field-of-view adaptive wall filtering method and system based on hierarchical search, aiming at the above deficiencies in the prior art. The method can integrate the advantages of high efficiency of the full-domain SVD and high filtering quality of the regional SVD, and can quickly acquire high-quality blood flow images in the whole observation region.
In order to achieve the purpose, the invention adopts the technical scheme that: a large-field-of-view self-adaptive wall filtering method based on hierarchical search is used for carrying out wall filtering processing on an ultrasonic image, the method comprises the steps of firstly dividing the whole image into a plurality of regions by adopting a large window (primary window), carrying out filtering and evaluating the blood flow information content of each region, extracting the regions with the blood flow information content higher than a threshold value, carrying out local filtering processing by using thinned small windows (secondary windows), carrying out image reconstruction by adopting optimized specific filtering parameters according to the noise level of the corresponding region, and outputting a complete ultrasonic blood flow image after wall filtering processing.
Preferably, the method comprises the steps of:
1) acquiring multi-frame time-continuous two-dimensional plane wave ultrasonic echo signals, and obtaining large-view-field continuous-frame two-dimensional plane wave demodulation data through IQ demodulation;
2) evaluation of the primary window: dividing the whole image into a plurality of regions by a large window, synchronously evaluating the blood flow information content of each region, and extracting the regions with the blood flow information content higher than a threshold value;
3) refining a secondary window: calculating and setting a proper small window, and dividing the region with the blood flow information content higher than the threshold value extracted in the step 2) into small windows with mutually overlapped adjacent regions;
4) each small window independently carries out self-adaptive wall filtering processing;
5) image reconstruction: and (3) superposing the output result after the independent self-adaptive filtering of each small window to the corresponding position of the whole image, obtaining a normalized image through statistics and weighted average, and outputting a reconstructed complete blood flow image.
Preferably, the step of performing the adaptive wall filtering process on the single small window comprises: and reconstructing the time-space domain of the small window data to obtain a decomposition matrix, extracting characteristic values through singular value decomposition, drawing a characteristic curve, calculating optimized filtering parameters by using the characteristic curve, filtering the small window data by using the optimized filtering parameters, reconstructing an image and outputting a result.
The invention also provides a large-field-of-view adaptive wall filtering system based on hierarchical search, which comprises the following components:
the IQ demodulation module is used for carrying out IQ demodulation on the acquired multi-frame time continuous two-dimensional plane wave ultrasonic echo signals to obtain large-view-field continuous frame two-dimensional plane wave demodulation data;
the primary window evaluation module is used for dividing the whole image into a plurality of regions by a large window, synchronously evaluating the blood flow information content of each region and extracting the regions with the blood flow information content higher than a threshold value;
the second-level window refining module calculates and sets a proper small window, and divides the region with the blood flow information content higher than the threshold value, extracted by the first-level window evaluating module, into small windows with mutual overlapping between adjacent regions;
an adaptive wall filtering processing module which independently performs adaptive wall filtering processing on each small window;
and the image reconstruction module is used for superposing the output result of each small window obtained by the self-adaptive wall filtering processing module after independent self-adaptive filtering to the corresponding position of the whole image, obtaining a normalized image through statistics and weighted average and outputting a reconstructed complete blood flow image.
The invention also provides a storage medium having stored thereon a computer program which, when executed, is adapted to carry out the method as described above.
The invention also provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method as described above when executing the computer program.
The invention has the beneficial effects that: the large-view-field self-adaptive wall filtering method based on hierarchical search can be suitable for a high-efficiency wall filtering method of large-capacity data, on one hand, the calculation power is distributed only at the required part through a hierarchical search strategy, and the calculation efficiency is improved; on the other hand, although the filtering small windows are overlapped, no iteration exists among the filtering processes, so that a plurality of independent small windows can be synchronously calculated through multiple threads, and the operation time is greatly saved;
the wall filtering method can well inhibit the clutter, on one hand, the filtering difficulty is reduced by subdividing the filtering area, the similarity of the spatial domain information is improved by reducing the filtering area once, the effective information is more concentrated, and the clutter signals are easier to be removed from the spatial domain information; on the other hand, the optimized filtering parameters are designed according to the data characteristics of each independent area, and the filtering quality is greatly improved.
Drawings
Fig. 1 is a flow chart of a large field of view adaptive wall filtering method based on hierarchical search according to the present invention.
Detailed Description
The present invention is further described in detail below with reference to examples so that those skilled in the art can practice the invention with reference to the description.
It will be understood that terms such as "having," "including," and "comprising," as used herein, do not preclude the presence or addition of one or more other elements or groups thereof.
Example 1
The method is used for carrying out wall filtering processing on an ultrasonic image, the method comprises the steps of firstly adopting a large window (a primary window) to divide the whole image into a plurality of regions, carrying out filtering and evaluating the blood flow information content of each region, extracting the regions (rich effective information and complex images) with the blood flow information content higher than a threshold value, then carrying out local filtering processing, adopting optimized specific filtering parameters to process each small window according to the noise level of the corresponding region, finally carrying out image reconstruction, and outputting the complete ultrasonic blood flow image after the wall filtering processing.
Referring to fig. 1, the large-field-of-view adaptive wall filtering method based on hierarchical search in the present embodiment includes the following steps:
1) acquiring multi-frame time-continuous two-dimensional plane wave ultrasonic echo signals by an array ultrasonic probe (comprising a convex array and a linear array), and obtaining large-view-field continuous-frame two-dimensional plane wave demodulation data through IQ demodulation;
2) evaluation of the primary window: dividing the whole image into a plurality of regions by a large window, synchronously evaluating the blood flow information content of each region, and extracting the regions with the blood flow information content higher than a threshold value;
3) refining a secondary window: calculating and setting a proper small window, and dividing the region with the blood flow information content higher than the threshold value extracted in the step 2) into small windows with mutually overlapped adjacent regions;
4) each small window independently performs adaptive wall filtering:
and reconstructing the time-space domain of the small window data to obtain a decomposition matrix, extracting characteristic values through singular value decomposition, drawing a characteristic curve, calculating optimized filtering parameters by using the characteristic curve, filtering the small window data by using the optimized filtering parameters, reconstructing an image and outputting a result. The data of each small window is filtered independently, and the process can be synchronously carried out to improve the processing speed because the windows do not interfere with each other.
5) Image reconstruction: and (3) superposing the output result after the independent self-adaptive filtering of each small window to the corresponding position of the whole image, obtaining a normalized image through statistics and weighted average, and outputting a reconstructed complete blood flow image.
The invention is suitable for processing large-capacity data brought by large-field imaging and can rapidly provide high-quality blood flow images. The development of plane wave technology and the upgrade of hardware equipment enable the acquisition of two-dimensional synchronous ultrasonic signals with high frame frequency and large view field to be realized, the two-dimensional synchronous acoustic signals carry a large amount of information in the aspect of space, meanwhile, the continuous frame signals with high repetition frequency carry a large amount of information in the aspect of time, and the wall filtering method which considers both speed and filtering quality is required for processing a large amount of data. The algorithm provided by the invention ensures the filtering quality by utilizing the regional independent self-adaptive filtering, saves the operation time by synchronous operation because each region has no iterative process, and can rapidly process the large-field data to provide a high-quality blood flow image.
The imaging target distribution nonuniformity in the large field-of-view image causes a core region where the effective information content is high (expressed as a blood vessel rich region in the blood flow map) and a marginal region where the effective information is hardly contained (expressed as a blood flow free region in the blood flow map) to be inevitable, and the indiscriminate small-window search algorithm wastes a large amount of computation power at the marginal region. The invention adopts a hierarchical search strategy to roughly search and determine the core area, and then extracts effective information more accurately by accurate search, thereby greatly improving the operation efficiency on the premise of ensuring the filtering quality.
In the invention, each small window data is independently processed, the energy distribution condition is analyzed according to the characteristic curve, the optimized filtering parameter is calculated, and the optimized parameter filtering is ensured to be carried out on each small window, thereby improving the filtering quality.
Example 2
The present embodiment provides a large-field-of-view adaptive wall filtering system based on hierarchical search, which performs wall filtering processing on an ultrasound image by using the method of embodiment 1, and the system includes:
the IQ demodulation module is used for carrying out IQ demodulation on the acquired multi-frame time continuous two-dimensional plane wave ultrasonic echo signals to obtain large-view-field continuous frame two-dimensional plane wave demodulation data;
the primary window evaluation module is used for dividing the whole image into a plurality of regions by a large window, synchronously evaluating the blood flow information content of each region and extracting the regions with the blood flow information content higher than a threshold value;
the second-level window refining module calculates and sets a proper small window, and divides the region with the blood flow information content higher than the threshold value, extracted by the first-level window evaluating module, into small windows with mutual overlapping between adjacent regions;
an adaptive wall filtering processing module which independently performs adaptive wall filtering processing on each small window;
and the image reconstruction module is used for superposing the output result of each small window obtained by the self-adaptive wall filtering processing module after independent self-adaptive filtering to the corresponding position of the whole image, obtaining a normalized image through statistics and weighted average and outputting a reconstructed complete blood flow image.
The present embodiment also provides a storage medium having stored thereon a computer program for implementing the method of embodiment 1 when executed.
The present embodiment also provides a computer device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the method of embodiment 1 when executing the computer program.
While embodiments of the invention have been disclosed above, it is not limited to the applications listed in the description and the embodiments, which are fully applicable in all kinds of fields of application of the invention, and further modifications may readily be effected by those skilled in the art, so that the invention is not limited to the specific details without departing from the general concept defined by the claims and the scope of equivalents.
Claims (6)
1. A large-field-of-view self-adaptive wall filtering method based on hierarchical search is characterized in that the method is used for performing wall filtering processing on an ultrasonic image, a large window is adopted to divide the whole image into a plurality of regions, filtering is performed, blood flow information content of each region is evaluated, the regions with the blood flow information content higher than a threshold value are extracted, refined small windows are used for performing local filtering processing, each small window is processed by adopting optimized specific filtering parameters according to noise levels of the corresponding regions, image reconstruction is performed finally, and a complete ultrasonic blood flow image after wall filtering processing is output.
2. The hierarchical search based large-field-of-view adaptive wall filtering method according to claim 1, characterized in that the method comprises the following steps:
1) acquiring multi-frame time-continuous two-dimensional plane wave ultrasonic echo signals, and obtaining large-view-field continuous-frame two-dimensional plane wave demodulation data through IQ demodulation;
2) evaluation of the primary window: dividing the whole image into a plurality of regions by a large window, synchronously evaluating the blood flow information content of each region, and extracting the regions with the blood flow information content higher than a threshold value;
3) refining a secondary window: calculating and setting a proper small window, and dividing the region with the blood flow information content higher than the threshold value extracted in the step 2) into small windows with mutually overlapped adjacent regions;
4) each small window independently carries out self-adaptive wall filtering processing;
5) image reconstruction: and (3) superposing the output result after the independent self-adaptive filtering of each small window to the corresponding position of the whole image, obtaining a normalized image through statistics and weighted average, and outputting a reconstructed complete blood flow image.
3. The hierarchical search based large-field-of-view adaptive wall filtering method according to claim 2, wherein the step of performing the adaptive wall filtering process by a single small window is: and reconstructing the time-space domain of the small window data to obtain a decomposition matrix, extracting characteristic values through singular value decomposition, drawing a characteristic curve, calculating optimized filtering parameters by using the characteristic curve, filtering the small window data by using the optimized filtering parameters, reconstructing an image and outputting a result.
4. A hierarchical search based large field of view adaptive wall filtering system, comprising:
the IQ demodulation module is used for carrying out IQ demodulation on the acquired multi-frame time continuous two-dimensional plane wave ultrasonic echo signals to obtain large-view-field continuous frame two-dimensional plane wave demodulation data;
the primary window evaluation module is used for dividing the whole image into a plurality of regions by a large window, synchronously evaluating the blood flow information content of each region and extracting the regions with the blood flow information content higher than a threshold value;
the second-level window refining module calculates and sets a proper small window, and divides the region with the blood flow information content higher than the threshold value, extracted by the first-level window evaluating module, into small windows with mutual overlapping between adjacent regions;
an adaptive wall filtering processing module which independently performs adaptive wall filtering processing on each small window;
and the image reconstruction module is used for superposing the output result of each small window obtained by the self-adaptive wall filtering processing module after independent self-adaptive filtering to the corresponding position of the whole image, obtaining a normalized image through statistics and weighted average and outputting a reconstructed complete blood flow image.
5. A storage medium on which a computer program is stored, characterized in that the program is adapted to carry out the method according to any one of claims 1-3 when executed.
6. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1-3 when executing the computer program.
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| PCT/CN2021/131481 WO2023082304A1 (en) | 2021-11-11 | 2021-11-18 | Large-field-of-view adaptive wall filtering method and system based on hierarchical search |
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