Image processing method for automatically judging fetal hydrocephalus from ultrasonic images

Abstract

The invention provides an image processing method for automatically judging fetal hydrocephalus from ultrasonic images, comprising the following steps: firstly extracting skull ellipse of a new fetal brain image on the second plane, lateral ventricle horizontal plane; establishing a space histogram pyramid in the interior zone of the ellipse in the image; respectively calculating the distances among the space histogram pyramids of the given fetal ultrasonic image, the normal fetal brain images in the same gestational week and the image of hydrocephalus in the brain on the lateral ventricle horizontal plane in the same gestational week; and setting a threshold and giving the possibility of fetal hydrocephalus from judgment according to the relationship between the distances among the space histogram pyramids and the threshold.

Description

technical field [0001] The invention relates to an image processing technology, in particular to an image detection technology for fetal ultrasonic image hydrocephalus, which can be used for automatic detection of hydrocephalus deformity on fetal ultrasonic cranial images. Background technique [0002] The purpose of prenatal diagnosis is to detect fetal malformations early and take corresponding measures to reduce the incidence of birth defects. Prenatal diagnosis of fetuses using ultrasound imaging equipment is an important technical means to discover whether the fetus is deformed and to investigate the development of the fetus. Since the brain is the most important part of the human nervous system, the occurrence of fetal brain deformities may lead to death or mental retardation. , bring a heavy burden to the family and society, so the detection of brain abnormalities in prenatal diagnosis is the most important. [0003] The basic steps doctors follow to make a diagnosis...

AI Technical Summary

Problems solved by technology

[0010] (1) The utilization rate of medical image information is not high, and the image information that cannot be distinguished by human eyes is not fully used;

[0011] (2) The various measurements in the image diagnosis process require the doctor to choose the measurement position, and the relevant diagnosis needs to rely on the doctor's clinical experience, so the individual subjectivity is strong

[0012] (3) The work of image diagnosis has personal subjectivity. For the same medical image, different doctors may have different diagnostic results

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