Automatic recognition method and system of standard section of fetus face of ultrasound image

Abstract

The invention relates to an automatic recognition method of the standard section of the fetus face of an ultrasound image. The method includes the following steps that the original ultrasound image is preprocessed; features of the preprocessed ultrasound image are extracted through RootSIFI; the extracted features are transformed through a Gaussian mixture model, Fisher vector encoding is performed on the transformed Gaussian mixture model, and values of a vector encoding histogram are obtained; normalization is performed on the histogram to obtain feature vectors; the standard sector is learned and recognized according to the feature vectors through an SVM classifier based on a random dual coordination mechanism. The invention further relates to an automatic recognition system of the standard section of the fetus face of the ultrasound image. Through the method and system, the accuracy of the diagnosis result obtained by a doctor can be improved, workloads can be reduced, and diagnosis time can be shortened.

Description

technical field [0001] The invention relates to an automatic identification method and system for a standard section of the fetal face in an ultrasound image. Background technique [0002] Ultrasound imaging is widely used in pregnancy diagnosis due to low consumption, real-time imaging and no radiation. In ultrasound imaging, the acquisition of standard slices is a prerequisite for biometrics and diagnosis. In the process of ultrasonic diagnosis, the clinician first marks the standard cut plane, checks the main anatomical structure through the standard cut plane, and then conducts further diagnosis and inspection, and makes analysis and diagnosis according to the growth of the fetus. [0003] In the current ultrasonic diagnosis process, the acquisition of standard slices relies too much on the doctor's clinical experience and knowledge of anatomical structures. The acquisition of standard slices is not only extremely challenging for novices, but also time-consuming for exp...

AI Technical Summary

Problems solved by technology

At present, the automatic identification of standard facets is still very challenging and a difficult problem

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