An occlusion tissue stripping method for a three-dimensional ultrasonic image and a related device

Abstract

The invention discloses an occlusion tissue stripping method for a three-dimensional ultrasonic image, which comprises the steps of performing segmentation processing on a three-dimensional ultrasonicimage from a sagittal plane direction to obtain a plurality of slices; Carrying out contour key point identification on the plurality of standard slices by adopting a convolutional neural network toobtain key points of the standard slices; Fitting a cross section curve where each key point is located according to the same key point in each standard slice, and determining the key point at the corresponding position in the non-standard slice according to each cross section curve; Connecting the key points of the slices to obtain contour boundaries; And cutting the corresponding slices according to all the contour boundaries to obtain a plurality of cut slices, and synthesizing the cut slices to obtain a target three-dimensional ultrasonic image. The key points of the non-standard slices can be determined through the standard slices, so that the non-standard slices are cut. The invention further provides a shielded tissue stripping system, an ultrasonic detection device and a computer readable storage medium which have the above beneficial effects.

Description

technical field [0001] The present application relates to ultrasonic image processing technology, and in particular to a masked tissue stripping method for a three-dimensional ultrasonic image, a masked tissue stripping system, an ultrasonic detection device, and a computer-readable storage medium. Background technique [0002] With the continuous development of ultrasonic imaging technology, three-dimensional images of the inspection target can be obtained through ultrasonic inspection, but there may be other obstacles that can be detected by ultrasound around the inspection target, which will block the inspection target and affect the three-dimensional image of the inspection target degree of precision. For example, in an obstetrical ultrasound examination, it is necessary to perform three-dimensional visualization of the fetal face, but in the obtained three-dimensional ultrasound image, the front of the fetal face is likely to be blocked by human tissues such as the plac...

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Problems solved by technology

[0004] However, the manual cutting method is too dependent on personal experience, and the operation is cumbersome, and it is prone to misuse

Furthermore, although the target detection algorithm and the semantic segmentation algorithm can accurately segment the standard slices of the target area, there are still many non-standard slices in the 3D image data. These non-standard slices lose a lot of outline information of the inspection target and cannot be processed Accurate segmentation, and thus cannot effectively segment occluded tissues

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