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

A deep belief network and three-dimensional model technology, applied in the field of automatic detection of the median sagittal plane in three-dimensional fetal ultrasound data, can solve the problems of no good detection method and high difficulty of automatic detection

Active Publication Date: 2016-03-16
FUDAN UNIV
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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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  • Automatic fetus median sagittal plane detection method based on depth belief network and three dimensional model
  • Automatic fetus median sagittal plane detection method based on depth belief network and three dimensional model
  • Automatic fetus median sagittal plane detection method based on depth belief network and three dimensional model

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Embodiment Construction

[0057] The following are the specific implementation steps of the entire algorithm:

[0058] 1. First, for the central section of the three-dimensional fetal ultrasound data, the image block where the head is located is obtained through the deep belief network, and the approximate position of the fetal head is located. In order to reduce the amount of calculation, step 1 is performed on the image after downsampling, and the image used is half the size of the original image. The selected image block size is 41×41. The DBN network is set to 5 layers, and the number of nodes in each layer is 1681-500-500-2000-2, and it is trained with the aforementioned method. The number of training iterations between each two layers is 200, and the number of overall training iterations is 50. Move the 41×41 window to traverse and search the entire central section, and find the image block with the highest probability of belonging to the head category.

[0059] 2. In the image block obtained ...

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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 ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T2207/10136G06T2207/20061G06T2207/20081G06T2207/30008G06T2207/30044
Inventor 余锦华聂思晴汪源源
Owner FUDAN UNIV
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