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Registration method of three-dimensional non-rigid optical coherence tomographic image

A technology of optical coherence tomography and scanning images, which is applied in image data processing, graphics and image conversion, instruments, etc., can solve problems such as algorithm failure and registration result deformation, achieve high effectiveness, improve registration effectiveness, and improve data quality. reliability effect

Inactive Publication Date: 2017-07-07
SUZHOU UNIV
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Problems solved by technology

[0003] The current retinal OCT image registration algorithms have the following defects: (1) most of the algorithms are not three-dimensional registration algorithms in a complete sense, they first register a certain dimension or a certain two dimensions, and then perform registration on the remaining The following dimensions are registered, which will cause the previously obtained registration results to be deformed in another dimension
(2) Most of the existing retinal registration algorithms are designed for the normal retina. When the retinal tissue is deformed due to lesions, these algorithms will fail
So far, there has been no report on a 3D non-rigid registration method for retinal OCT images of choroidal neovascularization

Method used

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  • Registration method of three-dimensional non-rigid optical coherence tomographic image
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  • Registration method of three-dimensional non-rigid optical coherence tomographic image

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Embodiment

[0040] Each step will be described in detail below.

[0041] S1, image preprocessing

[0042] Image preprocessing mainly includes the following four steps: OCT denoising, image layering, projection image acquisition, and lesion removal.

[0043] S11, OCT image denoising:

[0044] The 3D images obtained by the OCT eye imager contain a lot of speckle noise. In order to ensure the effect of subsequent segmentation, it is necessary to effectively remove the noise while retaining the edge information in the image as much as possible. The present invention adopts the curve anisotropic diffusion filtering method to filter the retinal image, which can remove the speckle noise and keep the boundary of the image clearly.

[0045] The curvilinear anisotropic diffusion filtering method is an existing algorithm, such as the curvilinear anisotropic diffusion filtering method proposed by Sun Zhuli et al. where the curvilinear diffusion equation is:

[0046]

[0047] Among them, f is the...

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Abstract

The invention discloses a registration method of a three-dimensional non-rigid optical coherence tomographic image. The method comprises: firstly, carrying out pretreatment on an OCT scanning image; to be specific, carrying out OCT denoising, image layering and image projection on an the OCT scanning image successively to obtain a two-dimensional projection image of a retian blood vessel; extracting a blood vessel from the two-dimensional projection image of the retinal blood vessel to obtain two-dimensional feature point of the blood vessel, and returning to three-dimensional space based on the obtained two-dimensional feature point to obtain a three-dimensional feature point; and then on the basis of the obtained three-dimensional feature point, carrying out rough image registration by using affine transformation, and then carrying out precise image registration by using a non-rigid method to obtain a precisely registered image. According to the method disclosed by the invention, on the basis of combination of the grayscale-based non-rigid registration method and feature-affine-transformation-based registration method, a three-dimensional OCT scanning image is registered, so that the precision and reliability of the registration result can be improved.

Description

technical field [0001] The invention relates to the technical field of image registration, in particular to a method for registering three-dimensional non-rigid optical coherence tomography images for registration of three-dimensional OCT (optical coherence tomography) scanning images. Background technique [0002] The retina is an extension of the neural tissue of the brain and has a complex multi-layered organizational structure. SD-OCT technology can provide fast, high-resolution, three-dimensional images showing the internal layers of the retina, which can provide reference and help for clinical ophthalmologists in the diagnosis and treatment of diseases. Registration of retinal OCT images has important implications for clinical practice. [0003] The current retinal OCT image registration algorithms have the following defects: (1) most of the algorithms are not three-dimensional registration algorithms in a complete sense, they first register a certain dimension or a c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/00
CPCG06T3/147
Inventor 陈新建魏强定石霏
Owner SUZHOU UNIV
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