Abstract: A super-resolution reconstruction preprocessing method of contrast-enhanced ultrasound images includes: acquiring an image set to be preprocessed; acquiring grayscale fluctuation signal of a pixel point in the registered contrast-enhanced ultrasound images to be preprocessed; performing denoise reconstruction operation on the image set to be preprocessed to obtain a reconstructed feature parameter image, and performing interpolation calculation on the reconstructed feature parameter image to obtain a sparse microbubble image. By analyzing the grayscale fluctuation signals of the collocated pixel point set in the plurality of frames of the registered contrast-enhanced ultrasound images to be preprocessed, a signal-to-noise ratio and a signal-to-background ratio are improved.

Abstract: Disclosed are a super-resolution reconstruction method and an apparatus for three-dimensional contrast-enhanced ultrasound images, a computer readable storage medium and an electronic device. The method includes: performing at least one thinning operation on a first three-dimensional local image sequence, the thinning operation being configured to enhance motion trajectories of microbubbles; and performing an image reconstruction operation based on the first three-dimensional local image sequence subjected to the at least one thinning operation, so as to generate three-dimensional super-resolution images. The super-resolution reconstruction method for the three-dimensional contrast-enhanced ultrasound images, by means of performing thinning operations (for example, respectively performing a first thinning operation and a second thinning operation) on the first three-dimensional local image sequence, highlights motion trajectories of microbubbles, thereby improving a signal-to-noise ratio of an image.

Abstract: Disclosed are an image processing method and an apparatus based on contrast-enhanced ultrasound images, a computer readable storage medium and an electronic device. The image processing method based on contrast-enhanced ultrasound images includes: performing a first decoupling operation on a first contrast-enhanced ultrasound image sequence to generate a second contrast-enhanced ultrasound image sequence corresponding to the first contrast-enhanced ultrasound image sequence, the first decoupling operation being used to improve spatial sparsity of microbubbles; and performing a second decoupling operation on the second contrast-enhanced ultrasound image sequence to generate a third contrast-enhanced ultrasound image sequence corresponding to the second contrast-enhanced ultrasound image sequence, the second decoupling operation being used to improve temporal sparsity of the microbubbles.

Abstract: A super-resolution reconstruction preprocessing method of contrast-enhanced ultrasound images includes: acquiring an image set to be preprocessed; acquiring grayscale fluctuation signal of a pixel point in the registered contrast-enhanced ultrasound images to be preprocessed; performing denoise reconstruction operation on the image set to be preprocessed to obtain a reconstructed feature parameter image, and performing interpolation calculation on the reconstructed feature parameter image to obtain a sparse microbubble image. By analyzing the grayscale fluctuation signals of the collocated pixel point set in the plurality of frames of the registered contrast-enhanced ultrasound images to be preprocessed, a signal-to-noise ratio and a signal-to-background ratio are improved.

Abstract: Disclosed is a super-resolution flow field reconstruction method, including: superimposing a plurality of frames of contrast-enhanced ultrasound images that are in one time interval and each of which includes images of a plurality of microbubbles, to obtain a superimposed image including a plurality of microbubble trajectories of the plurality of microbubbles; performing straight line fitting on the plurality of microbubble trajectories, to obtain a plurality of microbubble trajectory straight lines of the plurality of microbubbles, respectively; determining directions and velocities of instantaneous movements of the plurality of microbubbles in the time interval; and reconstructing a super-resolution flow field.