Tissue elasticity imaging method and graphics processor

Abstract

The invention provides a tissue elasticity imaging method and a graphics processor. The tissue elasticity imaging method comprises the following steps: receiving first ultrasonic signals and second ultrasonic signals before and after tissue deformation; storing the first ultrasonic signals, the second ultrasonic signals, parameters contained in a cross-correlation algorithm into a global storage corresponding to a GPU; allocating corresponding processing threads for each data window according to the number of the data windows, carrying out parallel computing on the cross correlation coefficients of the first ultrasonic signals and second ultrasonic signals in the corresponding data windows through the processing threads, thus obtaining the displacement estimation value corresponding to each data window; carrying out filtering processing on the displacement estimation values to obtain strain estimation values corresponding to the displacement estimation values respectively; and carrying out imaging process on the strain estimation values to obtain the tissue elasticity imaging result. According to the invention, through the multi-thread parallel processing mode, while the accuracy of the tissue elasticity imaging result is guaranteed, and the processing speed of elasticity imaging is obviously improved.

Description

technical field [0001] The invention belongs to the technical field of medical equipment, and in particular relates to a tissue elasticity imaging method and a graphics processor. Background technique [0002] Tissue elasticity is the biomechanical parameter most affected by physiological and pathological factors. A large number of physiological and pathological changes in the human body are accompanied by changes in tissue elasticity. For example, as the degree of liver fibrosis deepens, the hardness of the liver will gradually change. big. Therefore, the elasticity of tissue can be regarded as an important parameter reflecting the characteristics of biological tissue. In the early 1990s, the Japanese scholar Y.Yamakoshi and the American scholar J.Ophir first proposed the ultrasonic elastography technology, which takes tissue elastic parameters such as shear modulus, Young's modulus, stress, and strain as the imaging objects. [0003] Ultrasonic elastography first uses th...

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Problems solved by technology

[0004] In the process of ultrasonic elastography processing of tissue, it mainly involves the process of estimating the displacement and strain of the tissue under a certain excitation, and the calculation amount is relatively large. Among them, the cross-correlation algorithm in the displacement estimation consumes a lot of time

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