CN109730633A - Choroidal artery angiographic method and equipment based on optical coherence tomography swept-volume - Google Patents
Choroidal artery angiographic method and equipment based on optical coherence tomography swept-volume Download PDFInfo
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- 239000000284 extract Substances 0.000 claims abstract description 4
- 210000003161 choroid Anatomy 0.000 claims description 30
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- 238000001914 filtration Methods 0.000 claims description 6
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Abstract
The present invention relates to Biomedical Image process field field, specifically a kind of choroidal artery angiographic method based on optical coherence tomography swept-volume can be widely used for the diagnosis of medical-ophthalmologic disorder in screening.Include: step S1, obtains the initial data on OCT swept-volume eyeground；Step S2 extracts retinal vessel shadow data and choroidal artery data from the initial data；Step S3 carries out mask to the choroidal artery data using the retinal vessel shadow data to obtain choroidal artery radiography data.In above-mentioned technical proposal, mask is carried out to choroidal artery data by extracting retinal vessel shadow data, by the retinal vessel shadow removal in choroidal artery data, it reduces since retinal vessel shade is on choroidal artery projected image contrast and successional influence, so that choroidal artery can be with intact clear display.
Description
Technical field
It is specifically a kind of to be swept based on optical coherence tomography body the present invention relates to Biomedical Image process field field
The choroidal artery angiographic method retouched can be widely used for the diagnosis of medical-ophthalmologic disorder in screening.
Background technique
Choroid plays very important effect in the blood oxygen supply and metabolism of human eye.In addition to the new green blood of choroid
It manages such choroidopathy rationality to change, ophthalmology disease pathological myopia, glaucoma, diabetic retinopathy etc., with
And brain section disease Alzheimer's disease, cerebral apoplexy etc. are all closely related with choroidal all multiple features, as choroid layer thickness,
Vascular distribution etc..
Optical coherence tomography (optical coherence tomography, hereinafter referred to as OCT), which is that one kind is non-, to be connect
The three-dimensional fundus imaging mode of touching has been widely used in the screening of ophthalmology disease, among diagnosis and treatment.Different from such as multispectral
Fundus camera is copolymerized burnt ophthalmoscope etc. by using the laser and the adjusting depth of focus of more long wavelength to obtain positive eyeground train of thought
Film image, OCT can directly parse retina and choroid in the depth direction, to obtain complete choroid three-dimensional letter
Breath.OCT has micron-sized resolution ratio simultaneously, can accurately distinguish eyeground layer structure, and remote victory equally has deep analysis energy
The ultrasound of power.
Important research object equally as the low disease of eye, the research of the choroidal artery based on OCT image can not show a candle to regard
Retinal vasculature research is mature, this is typically considered as caused by following reason:
1, the index decreased that OCT detectivity is transmitted in the tissue with the decline and detectable signal of investigation depth；
2, retinal vessel yin affects the extraction and analysis of train of thought blood vessel；
3, choroidal blood flow speed is much larger than retinal blood flow speed, brings adverse effect to OCT and OCT angiography；
4, clear not as good as retinal vessel rule on choroidal artery morphology, the segmentation and extraction being unfavorable in image procossing.
Summary of the invention
The present invention proposes a kind of new train of thought for the defect and problem of the above-mentioned choroidal artery imaging based on OCT
Film angiographic method, being capable of effective compensation choroid signal decaying while to eliminate retinal vessel shade complete to choroidal artery
The influence of whole degree makes it possible that the fine of choroidal artery is extracted and quantitative analysis.
Choroidal artery angiographic method of the present invention based on optical coherence tomography swept-volume, comprising:
Step S1 obtains the initial data on OCT swept-volume eyeground；
Step S2 extracts retinal vessel shadow data and choroidal artery data from the initial data；
Step S3 carries out mask to the choroidal artery data using the retinal vessel shadow data to obtain choroid
Angiographic data.
In above-mentioned technical proposal, mask is carried out to choroidal artery data by extracting retinal vessel shadow data, it will
Retinal vessel shadow removal in choroidal artery data is reduced and is projected due to retinal vessel shade to choroidal artery
Picture contrast and successional influence, so that choroidal artery can be with intact clear display.
Preferably, the extraction of the choroidal artery data includes:
Step A-1, from the original data division layer of retina,pigment epithelium data；
Step A-2 pre-processes to be pre-processed the initial data based on the layer of retina,pigment epithelium data
Data；
Step A-3 divides choroid data from the preprocessed data；
Step A-4 carries out axial mean value projection to the choroid data to obtain the choroidal artery data.
Preferably, the step A-2 includes:
Step A-2-1 evens up the initial data using the layer of retina,pigment epithelium data as benchmark；
Step A-2-2 carries out axial attenuation compensation to the data after evening up.
Preferably, the step A-2 includes:
Step A-2-1 carries out axial attenuation compensation to the initial data；
Step A-2-2 evens up compensated data using the layer of retina,pigment epithelium data as benchmark.
Preferably, the formula that the axial direction attenuation compensation method uses are as follows:
Wherein, the data before I is axial attenuation compensation, IC are the data after axial attenuation compensation；Z is depth direction coordinate, x
For lateral coordinates, N is the total pixel number of depth direction.
Preferably, after carrying out axial mean value projection to the choroid data, then carrying out noise in the step A-4
Processing is filtered out to obtain the choroidal artery data.
Preferably, after carrying out axial mean value projection to the choroid data, then carrying out blood vessel in the step A-4
Feature increases processing to obtain the choroidal artery data.
Preferably, after carrying out axial mean value projection to the choroid data, then carrying out noise in the step A-4
Processing and the enhancing processing of blood vessel feature are filtered out to obtain the choroidal artery data.
Preferably, the extraction of the retinal vessel shadow data includes:
Step B-1, from the original data division layer of retina,pigment epithelium data；
Step B-2 carries out axial mean value projection to the layer of retina,pigment epithelium data to obtain the retinal vessel yin
Shadow data.
The present invention also provides a kind of choroidal artery contrast apparatus based on optical correlation tomographic imaging swept-volume, special
Sign is: using angiographic method described in any of the above embodiments.
The present invention have it is following the utility model has the advantages that
1. choroidal artery radiography can be obtained by only carrying out single OCT swept-volume, without more needed for traditional OCT angiography
Secondary OCT swept-volume and more Data Post steps.
2., can be completely without remaining elimination retinal vessel compared to the blood vessel acquisition algorithm compensated only with screening
Shade, therefore it is more advantageous to the extraction and quantitative study of choroidal artery.
Detailed description of the invention
Fig. 1 is the angiographic method implementation steps of the embodiment of the present invention one；
Fig. 2 is that the cross-sectional image of the initial data of the embodiment of the present invention one and the cross-sectional image of preprocessed data compare；
Fig. 3 is from left to right followed successively by original choroidal artery projected image, retinal vessel shadow mask and by the present invention
Method treated choroidal artery visualisation.
Specific embodiment
Term used herein is used only for the purpose of describing specific embodiments, and is not intended to limit the present invention.Unless in addition
Definition, otherwise all terms used herein have normally understood identical with those skilled in the art
Meaning.It will be further appreciated that essential term should be interpreted as having and it is in related fields and present disclosure
The consistent meaning of meaning.The disclosure will be considered as example of the invention, and is not intended to and limits the invention to particular implementation
Example.
Embodiment one
A kind of choroidal artery angiographic method based on optical coherence tomography swept-volume, implementation step can be divided into:
Step S1 obtains the initial data on OCT swept-volume eyeground.Use setting for optical coherence tomography (OCT) detection sample
It is standby to obtain initial data.Disclosure the embodiment described can obtain initial data using arbitrary OCT equipment.
Step S2 extracts retinal vessel shadow data and choroidal artery data from initial data.Wherein, retina
The extraction of blood vessel shadow data mask includes:
Step B-1, from original data division retinal pigment epithelium (Retinal pigment epithelium, abbreviation RPE)
Layer data.The dividing method of layer of retina,pigment epithelium data can for the method based on threshold value, the method based on graph theory and
Method based on machine learning.The method based on graph theory is used to be split to obtain retina initial data in the present embodiment
Pigment epithelium layer data.
Step B-2 carries out axial mean value projection to layer of retina,pigment epithelium data to obtain retinal vessel shade number
According to.Since layer of retina,pigment epithelium has no vascular distribution, it can be similar to a blank sheet of paper, retinal vessel shade can
To be preferably shown in thereon.
It is split and enhances preferably, retinal vessel shadow mask generallys use the methods of filtering, topological structure,
To obtain better blood vessel continuity and ensure the complete mask to shade.In the present embodiment, using symmetrical vessel filter device into
Row enhancing.
The extraction of choroidal artery data includes:
Step A-1, from original data division retinal pigment epithelium (Retinal pigment epithelium, abbreviation RPE)
Layer data.
Step A-2 pre-processes to obtain preprocessed data initial data based on layer of retina,pigment epithelium data.
2(a in Fig. 2) it is original OCT swept-volume image, the direction of eyeball is in curved when due to the natural radian of eyeball and Image Acquisition
It is curved.And decaying of OCT detectable signal signal-to-noise ratio when being transmitted with the decline of depth and in fundus tissue, lead to choroid
To being remarkably decreased for sclera position signal intensity.It needs to enhance choroid at sclera using initial data is pre-processed
Signal so that choroid lower boundary is more clear.In order to achieve the above object, which includes:
1) data on the basis of RPE data are evened up；
2) axial attenuation compensation
2(b in Fig. 2) be using it is above-mentioned even up with the image after attenuation compensation algorithm, can see in choroid out at sclera
Signal significantly increases so that choroid lower boundary be more clear it is visible.The blood vessel shade of retina has also obtained certain journey simultaneously
The compensation of degree.Data on the basis of above-mentioned RPE are evened up and the processing sequence of two steps of axial attenuation compensation can exchange, no
It will affect final processing result.Implementation sequence in the present embodiment are as follows:
Step A-2-1 evens up initial data using layer of retina,pigment epithelium data as benchmark；
Step A-2-2 carries out axial attenuation compensation to the data after evening up and carries out image enhancement.Axial decaying in the present embodiment
The formula that compensation method uses are as follows:
Wherein, the data (being in the present embodiment initial data) before I is axial attenuation compensation, ICAfter axial attenuation compensation
Data；Z is depth direction coordinate, and x is lateral coordinates, and N is the total pixel number of depth direction.
Step A-3 divides choroid data from preprocessed data.The dividing method of choroid data can be for based on threshold value
Method, the method based on graph theory and the method based on machine learning.
Step A-4 carries out axial mean value projection to choroid data to obtain choroidal artery data.Preferably, can
To carry out noise filtering processing again after choroid data are carried out with axial mean value projection to obtain choroidal artery data.Or
Person can also carry out blood vessel feature after choroid data are carried out with axial mean value projection again and increase processing to obtain choroid blood
Pipe data.In the present embodiment, after to the axial mean value projection of choroid data progress, then noise filtering processing and blood vessel spy are carried out
Sign enhancing processing is to obtain choroidal artery data.Wherein, blood vessel feature enhancing processing is distributed choroidal artery and enhances, and leads to
Frequently with the methods of filtering, topological structure, to obtain better blood vessel continuity and eliminate the noise of non-vascular position.This implementation
In example, blood vessel feature enhancing processing is carried out using symmetrical vessel filter device.
The extraction of above-mentioned retinal vessel shadow data and choroidal artery data is required to from original data division view
Membranochromic pigments epithelium layer data (see step A-1 and step B-1).Therefore, in step S-2, retinal pigment can be carried out first
The segmentation of epithelium layer data, the layer of retina,pigment epithelium data for being then based respectively on segmentation again carry out retinal vessel shadow data
Extraction and choroidal artery data extraction.
Step S3 carries out mask to choroidal artery data using retinal vessel shadow data to obtain choroidal artery
Radiography data.Original choroidal artery projected image is since the influence of retinal vessel shade causes contrast very low, simultaneously
Due to overlapping with retinal vessel shade, its continuity has been seriously affected.By choroidal artery data and retinal vessel yin
Shadow data carry out image repair as input, to eliminate retinal vessel shade, and obtain final choroidal artery radiography knot
Fruit (i.e. choroidal artery radiography data).Image repair method is according to the blood vessel continuation degree and the parameters such as Y-PSNR after reparation
The method that assessment can be damage figure for any input and damage position mask, method such as based on cluster, based on deep learning
Method etc..The present embodiment uses associated transport algorithm, using choroidal artery data as the input of damage figure, retinal vessel yin
Shadow data carry out image repair as damage position mask input.
Fig. 3 (b) is extracted using the retinal vessel shadow data of symmetrical vessel filter device enhancing as a result, it is made in Fig. 3
For the failure area mask in image mending algorithm, Fig. 3 (c) is the choroidal artery distribution after image mending algorithm process
Figure, it can be seen that aobvious in the contrast of blood vessel and perienchyma compared to choroidal artery projected image original in Fig. 3 (a)
Write enhancing.Simultaneously because the removal of retinal vessel shade, choroidal artery can perfect damage display, be further
Processing and analysis are brought conveniently.
Embodiment two
A kind of choroidal artery contrast apparatus based on optical correlation tomographic imaging swept-volume is realized and is made described in embodiment one kind
Image method is to carry out choroidal artery radiography.
Although the embodiments of the invention are described in conjunction with the attached drawings, but those of ordinary skill in the art can be in appended power
Benefit makes various deformations or amendments in the range of requiring.
Claims (10)
1. the choroidal artery angiographic method based on optical coherence tomography swept-volume characterized by comprising
Step S1 obtains the initial data on OCT swept-volume eyeground；
Step S2 extracts retinal vessel shadow data and choroidal artery data from the initial data；
Step S3 carries out mask to the choroidal artery data using the retinal vessel shadow data to obtain choroid
Angiographic data.
2. the choroidal artery angiographic method according to claim 1 based on optical correlation tomographic imaging swept-volume, special
Sign is that the extraction of the choroidal artery data includes:
Step A-1, from the original data division layer of retina,pigment epithelium data；
Step A-2 pre-processes to be pre-processed the initial data based on the layer of retina,pigment epithelium data
Data；
Step A-3 divides choroid data from the preprocessed data；
Step A-4 carries out axial mean value projection to the choroid data to obtain the choroidal artery data.
3. the choroidal artery angiographic method according to claim 2 for proposing scanning based on optical correlation tomographic imaging, special
Sign is that the step A-2 includes:
Step A-2-1 evens up the initial data using the layer of retina,pigment epithelium data as benchmark；
Step A-2-2 carries out axial attenuation compensation to the data after evening up.
4. the choroidal artery angiographic method according to claim 2 for proposing scanning based on optical correlation tomographic imaging, special
Sign is that the step A-2 includes:
Step A-2-1 carries out axial attenuation compensation to the initial data；
Step A-2-2 evens up compensated data using the layer of retina,pigment epithelium data as benchmark.
5. the choroidal artery angiographic method according to claim 3 or 4 based on optical correlation tomographic imaging swept-volume,
It is characterized in that:
The formula that the axial direction attenuation compensation method uses are as follows:
Wherein, the data before I is axial attenuation compensation, ICFor the data after axial attenuation compensation；Z is depth direction coordinate, x
For lateral coordinates, N is the total pixel number of depth direction.
6. the choroidal artery angiographic method according to claim 2 based on optical correlation tomographic imaging swept-volume, special
Sign is:
In the step A-4, after carrying out axial mean value projection to the choroid data, then noise filtering processing is carried out to obtain
The choroidal artery data.
7. the choroidal artery angiographic method according to claim 2 based on optical correlation tomographic imaging swept-volume, special
Sign is:
In the step A-4, after carrying out axial mean value projection to the choroid data, then carry out blood vessel feature increase processing with
Obtain the choroidal artery data.
8. the choroidal artery angiographic method according to claim 2 based on optical correlation tomographic imaging swept-volume, special
Sign is:
In the step A-4, after carrying out axial mean value projection to the choroid data, then noise filtering processing and blood vessel are carried out
Feature enhancing processing is to obtain the choroidal artery data.
9. the choroidal artery angiographic method according to claim 1 based on optical correlation tomographic imaging swept-volume, special
Sign is that the extraction of the retinal vessel shadow data includes:
Step B-1, from the original data division layer of retina,pigment epithelium data；
Step B-2 carries out axial mean value projection to the layer of retina,pigment epithelium data to obtain the retinal vessel yin
Shadow data.
10. a kind of choroidal artery contrast apparatus based on optical correlation tomographic imaging swept-volume, it is characterised in that: use right
It is required that angiographic method described in any one of 1-9.
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| JP2021167802A (en) * | 2020-04-10 | 2021-10-21 | 株式会社トプコン | Three-dimensional analysis using optical coherence tomography image |
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