Abstract: A myocardial multi-parametric ultrasound imaging method includes: emitting alternately a plurality of ascending and descending large-acoustic domain diverging waves to myocardial tissue to obtain raw channel data; performing beamforming to obtain a plurality of radio frequency data; performing myocardial edge detection and identification according to the radio frequency data to generate myocardial mask; and estimating a large-displacement estimation term, a small-displacement estimation term, and a regularization term to construct a myocardial displacement estimation cost function; and obtaining the myocardial displacement parameters according to the cost function; and performing strain estimation. A myocardial multi-parametric ultrasound imaging system is further provided.

Abstract: A contrast imaging method based on a wide beam and a method for extracting a perfusion time-intensity curve (TIC) are provided to increase contrast-to-tissue ratio (CTR) through the contrast imaging method based on the wide beam via a pulse inversion microbubble wavelet transform sum squared differences decorrelation (PIWSSD). An auto adaptive analysis method about rapidly and accurately extracting a TIC tendency of the contrast imaging method based on the wide beam is also provided to overcome limitations of a decrease in the CTR of the contrast imaging based on the wide beam and a decrease in SCR of the perfusion TIC. The present invention plays an important role in effectively reducing an ultrasound contrast imaging acoustic power and a contrast microbubble perfusion concentration, reducing potential threat to human body, acquiring a contrast image with the high CTR, and accurately evaluating and diagnosing blood perfusion.

Abstract: A contrast imaging method based on a wide beam and a method for extracting a perfusion time-intensity curve (TIC) are provided to increase contrast-to-tissue ratio (CTR) through the contrast imaging method based on the wide beam via a pulse inversion microbubble wavelet transform sum squared differences decorrelation (PIWSSD). An auto adaptive analysis method about rapidly and accurately extracting a TIC tendency of the contrast imaging method based on the wide beam is also provided to overcome limitations of a decrease in the CTR of the contrast imaging based on the wide beam and a decrease in SCR of the perfusion TIC. The present invention plays an important role in effectively reducing an ultrasound contrast imaging acoustic power and a contrast microbubble perfusion concentration, reducing potential threat to human body, acquiring a contrast image with the high CTR, and accurately evaluating and diagnosing blood perfusion.