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A fetus head full-automatic segmentation method based on three-dimensional ultrasound

A three-dimensional ultrasound, fully automatic technology, applied in the field of image processing, to achieve the effect of improving accuracy, improving generalization ability, and enhancing robustness

Inactive Publication Date: 2019-04-23
SHENZHEN UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a method for fully automatic fetal head segmentation based on three-dimensional ultrasound, in order to overcome the many shortcomings of the existing two-dimensional ultrasound in fetal head measurement, thereby improving the efficiency of doctors' follow-up diagnosis and promoting more other methods. prenatal study

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  • A fetus head full-automatic segmentation method based on three-dimensional ultrasound
  • A fetus head full-automatic segmentation method based on three-dimensional ultrasound
  • A fetus head full-automatic segmentation method based on three-dimensional ultrasound

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Embodiment Construction

[0028] The technical solutions of the present invention will be described below in conjunction with the accompanying drawings of the present invention, but the described embodiments are only part of the embodiments of the present invention. Based on the embodiments of the present invention, those skilled in the art will not make any creative work All other obtained embodiments belong to the protection scope of the present invention.

[0029] refer to figure 1 As shown, the fetal head automatic segmentation module based on three-dimensional ultrasound of the present invention comprises the following steps successively:

[0030] Step S1: data augmentation module;

[0031] Step S2: fully convolutional neural network training module;

[0032] Step S3: Automatic context-based cascaded fully convolutional neural network modules.

[0033] In the specific implementation process, the data enhancement module in step S1 first performs data enhancement on the three-dimensional ultrasou...

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Abstract

The invention relates to the technical field of image processing, in particular to a fetus head full-automatic segmentation method based on three-dimensional ultrasound, which comprises the followingsteps of firstly, carrying out data enhancement on a three-dimensional ultrasound volume data set of a fetus head to obtain an enhanced data set; inputting the enhanced data set into a full convolutional neural network, and training a model in an end-to-end volume mapping manner to realize pre-segmentation of the data set; and finally, carrying out iterative optimization processing on a pre-segmentation result by adopting a cascade full convolutional neural network based on an automatic context to obtain a final segmentation result. The invention aims to overcome a plurality of defects in fetal head measurement by the existing two-dimensional ultrasound, so that the subsequent diagnosis efficiency of doctors is improved, and more other prenatal studies are promoted.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for fully automatic segmentation of fetal head based on three-dimensional ultrasound. Background technique [0002] Antenatal care performed in different trimesters mainly relies on ultrasound screening, which is recognized as a real-time, non-invasive and radiation-free technique at hand. Among all the fetal biometric parameters, the measurement of the parameters focusing on the fetal head is the main index considered by the sonographer, which can clearly reflect the growth status of the fetus. By comparing the measurement of the fetal head with other anatomical structures (such as Combined with measurements of the fetal abdomen and femur), the sonographer can further estimate fetal weight and obtain better diagnostic information. [0003] However, due to the limitations of two-dimensional ultrasound images, the measurement of the fetal head usually has a larg...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/10G06T7/174G06T5/50
CPCG06T5/50G06T7/10G06T7/174G06T2207/10136G06T2207/20081G06T2207/20084
Inventor 倪东王旭汪天富
Owner SHENZHEN UNIV
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