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Temporal bone inner ear bone cavity structure automatic segmentation method based on coarse-to-fine dense coding and decoding network

A dense network, coarse segmentation technology, applied in the field of medical image processing

Pending Publication Date: 2021-04-09
BEIJING UNIV OF TECH
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  • Application Information

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Problems solved by technology

[0008] The purpose of the present invention is to overcome the deficiencies of the existing medical imaging small target segmentation method

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  • Temporal bone inner ear bone cavity structure automatic segmentation method based on coarse-to-fine dense coding and decoding network
  • Temporal bone inner ear bone cavity structure automatic segmentation method based on coarse-to-fine dense coding and decoding network
  • Temporal bone inner ear bone cavity structure automatic segmentation method based on coarse-to-fine dense coding and decoding network

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Embodiment Construction

[0055] Below in conjunction with accompanying drawing of description, the embodiment of the present invention is described:

[0056] With the approval of the Ethics Committee of Beijing Friendship Hospital Affiliated to Capital Medical University, we collected 64 cases of manually standardized temporal bone CT data. Patient information in all data was desensitized according to the requirements of the hospital. Among the 64 cases of normal human temporal bone CT data, 33 were males and 31 were females, with an average age of 44 years. Experienced radiologists from Friendship Hospital were invited to perform voxel-level annotation on the 5 inner ear bone cavity structures in temporal bone CT. In the experiment, 56 cases of data are used as the training set, and 8 cases of data are used as the training set.

[0057] The data preprocessing adopted in the present invention includes resampling of CT images and labeling data.

[0058] In order to avoid inconsistencies in the distr...

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Abstract

The invention discloses a temporal bone inner ear bone cavity structure automatic segmentation method based on a coarse-to-fine dense coding and decoding network, and belongs to the field of medical images. According to the method, a framework from coarse to fine is adopted, coarse segmentation is carried out on an anatomical structure to be segmented in a temporal bone region, and coordinates of a central point are calculated; and at the periphery of the central point, expanding to an area capable of completely containing the inner ear bone cavity structure like the outside, and reserving a part of background information as a sub-area for further precise segmentation are carried out. In the fine segmentation stage, a dense connection module is introduced in the encoding process, more sufficient features are extracted, and hole convolution is added into the dense connection module, so that a segmentation algorithm obtains a larger receptive field for a to-be-segmented target, and more sufficient surrounding features and spatial information are extracted. In the decoding stage, features extracted in the encoding stage are subjected to up-sampling through transposed convolution, and after each time of transposed convolution, a dense connection module is introduced, so that the repeated utilization of decoding information is enhanced. According to the invention, the segmentation is more accurate.

Description

technical field [0001] The invention belongs to the field of medical image processing, and in particular relates to a method for automatically segmenting temporal bone and inner ear bone cavity structure by a coarse-to-fine dense codec network. Background technique [0002] Temporal bone CT is an important reference for doctors to check ear diseases. In the temporal bone region, it is divided into three regions: the outer ear, the middle ear, and the inner ear, and contains more than 30 tiny anatomical structures. Among them, the inner ear area is one of the important areas of the temporal bone, helping the body to hear sounds and maintain balance. This area mainly includes structures such as the cochlea, vestibule, external semicircular canal, posterior semicircular canal, and anterior semicircular canal. These structures are mainly composed of connected bone cavity structures, and they play different roles in ensuring human hearing and balance. The cochlea works with the...

Claims

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Application Information

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IPC IPC(8): G06T7/11G06N3/04G06N3/08
CPCG06T7/11G06N3/08G06T2207/10081G06T2207/20104G06N3/045
Inventor 李晓光伏鹏朱梓垚卓力张辉
Owner BEIJING UNIV OF TECH
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