Automatic fetus median sagittal plane detection method based on depth belief network and three dimensional model

Abstract

The invention belongs to the image segmentation technology field and particularly relates to an automatic fetus median sagittal plane detection method based on a depth belief network and a three-dimensional model. The method mainly comprises three steps that, a center tangent plane of a three-dimensional data is automatically searched through the depth belief network (DBN) to acquire an image block including a head, the size and the position of the head can be positioned in the image block through utilizing direction Kirsch edge detection and Hough transform, the characteristic that the head is symmetric to the median sagittal plane is utilized, a plane detection problem is converted into a two-dimensional symmetry detection problem through the three-dimensional model, and automatic median sagittal plane detection is finally accomplished. Through the method, a three-dimensional problem is simplified into a two-dimensional problem through model establishment, automatic median sagittal plane detection is realized, and the relatively good result is acquired.

Description

technical field [0001] The invention belongs to the technical field of image segmentation, and in particular relates to an automatic detection method for a median sagittal plane in three-dimensional fetal ultrasound data based on a deep belief network and a three-dimensional model. Background technique [0002] In early pregnancy, the thickness of fetal nuchal translucency (NT) is a very important indicator. Increased cervical translucency thickness is strongly associated with chromosomal abnormalities such as trisomy 13,18,21. At present, the measurement of NT thickness is performed manually by doctors: first find the approximate position of the fetus in the mother's body, then locate the standard midsagittal plane, lock the NT area on the midsagittal plane, and finally perform the measurement. The measurement of NT thickness is required to be carried out on the standard median sagittal plane. If it deviates from the median sagittal plane, there may be 30-50% error, which ...

AI Technical Summary

Problems solved by technology

[0003] Since the detection of the midsagittal plane needs to be carried out in three-dimensional data, and the position and posture of the fetus are various, it is extremely difficult to automatically detect, and there is no good detection method at present.

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