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OCT image processing method and device

A processing method and image technology, applied in the field of image processing, can solve problems such as robustness and slow layering speed, and achieve the effect of improving accuracy and classification efficiency

Pending Publication Date: 2022-02-25
唯智医疗科技佛山有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it has been found in practice that although the OCT image layering method based on traditional layering techniques such as histogram, boundary layering, and region layering, although the algorithm performance is relatively robust, the target feature layering results obtained by layering the OCT image are not as good as the results. Layers are slower

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  • OCT image processing method and device

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Experimental program
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Effect test

Embodiment 1

[0109] see figure 1 , figure 1 It is a schematic flowchart of an OCT image processing method disclosed in an embodiment of the present invention. in, figure 1 The described OCT method can be applied to the layered processing of retinal B-Scan images. The layered results obtained by this method can be applied to the compilation of medical textbooks, and can also be used as auxiliary materials for retinal research. The embodiments of the present invention do not limited. Such as figure 1 As shown, the processing method of the OCT image may include the following operations:

[0110] 101. Acquire a B-Scan image corresponding to a target feature.

[0111] In the embodiment of the present invention, the target features may include retinal features of the human eye (hereinafter simply referred to as retinal features), and correspondingly, the B-Scan image may include a B-Scan image including retinal features obtained through OCT processing. Among them, the B-Scan image can be o...

Embodiment 2

[0152] see figure 2 , figure 2 It is a schematic flowchart of another OCT image processing method disclosed in the embodiment of the present invention. in, figure 2 The described OCT method can be applied to the layered processing of retinal B-Scan images. The layered results obtained by this method can be applied to the compilation of medical textbooks, and can also be used as auxiliary materials for retinal research. The embodiments of the present invention do not limited. Such as figure 2 As shown, the processing method of the OCT image may include the following operations:

[0153] 201. Acquire a B-Scan image corresponding to a target feature.

[0154] 202. Perform image layering processing on the B-Scan image through a preset image processing algorithm to obtain an initial layering result.

[0155] 203. Input the B-Scan image into the pre-trained deep neural network model to obtain an output result.

[0156] 204. Determine interlayer boundary information corres...

Embodiment 3

[0188] see image 3 , image 3 It is a schematic structural diagram of an OCT image processing device disclosed in an embodiment of the present invention. Wherein, the OCT image processing device may be an OCT image processing terminal, an OCT image processing device, an OCT image processing system or an OCT image processing server, and the OCT image processing server may be a local server or a remote server , can also be a cloud server (also known as a cloud server). When the OCT image processing server is a non-cloud server, the non-cloud server can communicate with the cloud server, which is not limited in the embodiment of the present invention. Such as image 3 As shown, the OCT image processing device may include an acquisition module 301, a first processing module 302, a second processing module 303 and a first determination module 304, wherein:

[0189] An acquisition module 301, configured to acquire a B-Scan image corresponding to a target feature.

[0190] The f...

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Abstract

The invention discloses an OCT image processing method and device. The method comprises the following steps: acquiring a B-Scan image corresponding to a target feature; performing image layering processing on the B-Scan image through a preset image processing algorithm to obtain an initial layering result; inputting the B-Scan image into a pre-trained deep neural network model, obtaining an output result, where the output result comprises the probability corresponding to each pixel point corresponding to the target area of the B-Scan image, the probability corresponding to each pixel point is used for representing the possibility that each pixel point belongs to an interlayer boundary of two adjacent layers included in the initial layering result, and the target area is an area including target features; and determining interlayer boundary information corresponding to the target feature in the B-Scan image according to the probabilities corresponding to all the pixel points. Therefore, the invention can be combined with the deep neural network model to perform image layering processing on the obtained B-Scan image, and is beneficial to improving the image layering efficiency and improving the accuracy of the image layering result.

Description

technical field [0001] The technical field of image processing of the present invention, in particular, relates to an OCT image processing method and device. Background technique [0002] With the rapid development of computer and medical technology, OCT (Optical Coherence Tomography, optical coherence tomography) technology has been widely used in the diagnosis equipment of fundus diseases, which is of great significance to the detection, experiment and compilation of teaching materials of fundus diseases . OCT belongs to a high-sensitivity, high-resolution, high-speed, non-invasive tomographic imaging method, which uses the coherence of light to scan and image the fundus. Each scan is called an A-scan, and adjacent consecutive multiple scans The combination is called a B-scan image, and the B-scan image is the commonly seen OCT cross-sectional view (also can be understood as an OCT image), which is the most important imaging method of OCT in medical diagnosis. [0003] I...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/187G06T11/00
CPCG06T7/0012G06T7/187G06T11/008G06T2207/30041G06T2207/10101G06T2207/20081G06T2207/20084G06T2207/20076
Inventor 叶重荣区初斌安林秦嘉韦喜飞
Owner 唯智医疗科技佛山有限公司
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