A Fast Speckle Tracking Method for 3D Echocardiography with Sub-pixel Accuracy
An echocardiography, sub-pixel technology, applied in the field of medical ultrasound image processing, can solve the problems of difficult myocardial tissue movement tracking, demanding image quality, poor clinical practicability, etc., achieve good adaptive characteristics and robustness, and avoid propagation with cumulative effect
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Embodiment 1
[0051] A method for 3D echocardiography speckle tracking. In this embodiment, the ultrasound examination room of the Cardiology Department of a certain hospital is equipped with a domestic cardiac ultrasound diagnostic instrument and a computer workstation. The main function of the workstation is to realize the 3D STE imaging technology based on the method of the invention. That is, the method of the present invention is used to perform speckle tracking on 3D echocardiographic image data, to realize the velocity vector imaging, strain and strain rate imaging of myocardial tissue, and the measurement and analysis of motion parameters such as left ventricular torsional angular displacement, torsional moment, and torsional angular velocity. Imaging, etc. The clinician transfers the 3D echocardiographic image data collected by the ultrasonic diagnostic instrument to the workstation through a mobile storage medium such as a U disk, and assumes that the 3D echocardiographic sequence...
Embodiment 2
[0067] According to the method of a kind of 3D echocardiography speckle tracking described in embodiment 1, its difference is:
[0068] For reference block R j The pixel value is calibrated, as shown in formula (I):
[0069]
[0070] In formula (I), 02 ·(j-3) 2 , q=1-m-p.
Embodiment 3
[0072] According to the method of a kind of 3D echocardiography speckle tracking described in embodiment 1, its difference is:
[0073] by As a reference block, perform block matching calculation with 1 / 16 sub-pixel precision, the implementation process is as follows:
[0074] S41) in I j up to r j-2 (x j-2 ,y j-2 ,z j-2 ) point as the center of the search area to perform the first cubic spline interpolation, so that three equally spaced interior points between two adjacent nodes are interpolated to obtain a search area S11 with 1 / 4 sub-pixel precision;
[0075] S42) Use the full search algorithm and the SAD (Sum of absolute differences) matching criterion, and use the SAD iterative calculation early termination strategy, perform a match in the search area S11, record the point corresponding to the minimum SAD value as a 1 / 4 sub-pixel accuracy Tracking point R11;
[0076] S43) Take the primary 1 / 4 sub-pixel precision tracking point R11 as the center point, and perform ...
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