Ultrasound automated detection and display method of cranial abnormal regions

An ultrasound automated detection and display method of cranial abnormal regions, comprising following steps:

• S01, constructing a skull surface model using ultrasonic images obtained by performing ultrasonic scanning on a skull;
• S02, performing cranial contour detection on the two-dimensional ultrasound images obtained by performing ultrasound scanning on the skull, and obtaining a cranial contour curve of the two-dimensional images;
• S03, registering the cranial contour curve of the two-dimensional images obtained in step S02 to the skull surface model obtained in step S01 to determine the location of the two-dimensional images on the skull surface model;
• S04, determining whether the two-dimensional images are symmetrical with respect to a median sagittal plane or a median coronal plane of the skull surface model according to the location of the two-dimensional images obtained in step S03 on the skull surface model;
• S05, marking the two-dimensional images which are symmetrical with respect to the median sagittal plane or median coronal plane of the skull surface model in step S04, and selecting two-dimensional images from them for analysis according to analysis requirements;
• S06, dividing the two-dimensional images into two symmetrical regions, performing histogram statistics or grayscale co-occurrence matrix calculation on images of the two regions to obtain statistical data, performing normalization processing on the statistical data of the two regions to extract feature data, and then performing similarity comparison calculation on the feature data of the two regions when analyzing the two-dimensional images;
• and
• S07, determining whether there is any difference between the two regions according to the calculated similarity, extracting the grayscale value at the point of the difference if there is a difference, segmenting and marking the abnormal region with the grayscale value as a guide and displaying such abnormal region.