CN110063710B - Method for determining scleral spur - Google Patents
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- CN110063710B CN110063710B CN201910204642.6A CN201910204642A CN110063710B CN 110063710 B CN110063710 B CN 110063710B CN 201910204642 A CN201910204642 A CN 201910204642A CN 110063710 B CN110063710 B CN 110063710B
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- 238000000034 method Methods 0.000 title claims abstract description 25
- 210000004087 cornea Anatomy 0.000 claims abstract description 98
- 238000012937 correction Methods 0.000 claims abstract description 22
- 238000012545 processing Methods 0.000 claims description 13
- 238000005259 measurement Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 8
- 238000012014 optical coherence tomography Methods 0.000 description 7
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 210000003786 sclera Anatomy 0.000 description 2
- 208000002177 Cataract Diseases 0.000 description 1
- 208000010412 Glaucoma Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000002059 diagnostic imaging Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 210000000554 iris Anatomy 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 230000003902 lesion Effects 0.000 description 1
- 230000031700 light absorption Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000001747 pupil Anatomy 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B3/102—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for optical coherence tomography [OCT]
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- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10101—Optical tomography; Optical coherence tomography [OCT]
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30041—Eye; Retina; Ophthalmic
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Abstract
The invention provides a method for determining scleral spur, which comprises the following steps: adopting near infrared light to irradiate and collect an anterior segment cornea image; determining a contour line of the upper surface of the cornea through the anterior segment cornea image; performing refractive correction on points below the contour line of the upper surface in the anterior segment cornea image to obtain an actual image of the cornea; determining an iris and a cornea in the actual image of the cornea; and determining the position of the scleral spur according to the position of the iris. The cornea image of the anterior segment of the eye is collected through near infrared light irradiation, the image is further processed, the position of the scleral spur is determined according to the position of the iris, the integrated measurement of the posterior segment of the anterior segment of the eye can be achieved, and the cost is saved.
Description
Technical Field
The invention relates to the technical field of optical coherence tomography, in particular to a method for determining scleral spur.
Background
Optical Coherence Tomography (OCT) is a non-invasive medical imaging method based on low coherence interference, and the anterior segment OCT can provide a dynamic clear partial anterior segment structural image in real time in a non-contact manner, and can be used for diagnosing abnormal lesions of cornea, sclera, iris and angle of the eye, so as to diagnose common ophthalmic diseases such as glaucoma and cataract.
The OCT field is currently mainly imaging fundus and cornea with 1310nm (far infrared light) and 840nm (near infrared light). In general, 1310nm light can image the anterior segment cornea more clearly, and can measure the true condition of the angle of the chamber well, but can not measure the true condition of the fundus well. Light at 840nm is good for fundus imaging, but the true angle of the chamber is not well measured. At present, OCT equipment can only acquire images of anterior segment or posterior segment of eye singly or image respectively by switching optical systems. The main reason is the lack of methods for determining scleral spur using near infrared light in the prior art.
Disclosure of Invention
The present invention is directed to solving the problems of the prior art by providing a method for determining scleral spur.
In order to solve the above problems, the technical solution adopted by the present invention is as follows:
a method of determining scleral spur comprising the steps of: s1: adopting near infrared light to irradiate and collect an anterior segment cornea image; s2: determining a contour line of the upper surface of the cornea through the anterior segment cornea image; s3: performing refractive correction on points below the contour line of the upper surface in the anterior segment cornea image to obtain an actual image of the cornea; s4: determining an iris and a cornea in the actual image of the cornea; s5: and determining the position of the scleral spur according to the position of the iris.
Preferably, the wavelength of the near infrared light is 790nm to 890 nm.
Preferably, the step S2 includes the following steps: s21: selecting a gray value threshold value to perform dichotomy processing on the anterior segment cornea image to obtain a dichotomy image; s22: processing the connected region of the two-part image to determine a partial contour line of the upper surface of the cornea; s23: and fitting the points of the partial contour line to obtain a complete contour line of the upper surface of the cornea.
Preferably, the gray value selected in step S2 is 20-30.
Preferably, step S23 includes: and fitting the points of the partial contour line for 2 times to obtain a parabola.
Preferably, the step S3 includes the following steps: s31: dividing the coordinate data of the point below the contour line by the light speed correction ratio to obtain the coordinate data after primary correction, wherein the light speed correction ratio is the ratio of the propagation speed of the near infrared light in the cornea to the propagation speed of the near infrared light in the air; s32: calculating the refraction angle of the near infrared light in the cornea according to a refraction law; s33: and obtaining coordinate data of points below the contour line after the secondary correction according to the coordinate data after the primary correction and the refraction angle, and obtaining an actual image of the cornea.
Preferably, the step S4 includes the following steps: s41: selecting a half of the actual image of the cornea as a half-angle image, and carrying out dichotomy processing on the half-angle image to obtain a dichotomy half-angle image; s42: and carrying out regional processing on the halved half-angle image to obtain two largest connected regions, wherein the connected region of the center of the connected region close to the halved half-angle image is the iris, and the other connected region is the cornea.
Preferably, the step S5 includes the following steps: s51: determining a longitudinal axis with boundary points of the iris close to the room angle; s52: the intersection of the longitudinal axis and the lower boundary of the cornea is the scleral spur.
Preferably, the step S5 includes the following steps: and the intersection point of the contour line of the upper surface of the iris which is translated upwards to the contour line of the lower surface of the cornea is the scleral spur.
Preferably, the cornea image collected in the step S1 is 20-30 pieces.
The invention has the beneficial effects that: the method for determining the scleral spur is provided, the cornea image of the anterior segment of the eye is acquired through near infrared light irradiation, the image is further processed, the position of the scleral spur is determined according to the position of the iris, the integrated measurement of the posterior segment of the anterior segment of the eye can be achieved, and the cost is saved.
Drawings
FIG. 1 is a schematic diagram of a method for determining scleral spur, in accordance with an embodiment of the present invention.
FIG. 2 is a schematic illustration of a method of determining a contour of an upper surface of a cornea in an embodiment of the present invention.
Fig. 3 is a schematic diagram of a method for obtaining an actual image of a cornea in an embodiment of the present invention.
Fig. 4 is a schematic diagram of a method of determining an iris and a cornea in an embodiment of the invention.
Fig. 5 is a schematic diagram of a method for determining the location of the scleral spur based on the location of the iris in an embodiment of the present invention.
Fig. 6 is a schematic diagram of a high-definition anterior segment cornea image in an embodiment of the invention.
Fig. 7 is a schematic representation of a real image of a cornea in an embodiment of the invention.
Fig. 8 is a schematic view of a half corner in an embodiment of the invention.
FIG. 9 is a schematic diagram of an image after halving in the embodiment of the present invention.
FIG. 10 is a diagram illustrating connected component processing performed on a binary image according to an embodiment of the present invention.
Fig. 11 is a schematic view of a corner structure in an embodiment of the present invention.
FIG. 12 is a schematic diagram of the refraction of near infrared light at the corneal surface in an embodiment of the present invention.
Wherein 1-cornea, 2-scleral spur, 3-iris, 4-incidence angle, 5-refraction angle, 6-corrected position divided by light velocity ratio, 7-initial point position, 8-corrected position after refraction, 9-refracted ray, 10-incident ray, 11-fitted corneal surface, 12-boundary point of iris, 13-boundary point of iris.
Detailed Description
The present invention will be described in detail below with reference to the following embodiments in order to better understand the present invention, but the following embodiments do not limit the scope of the present invention. It should be noted that the drawings provided in the following embodiments are only for illustrating the basic concept of the present invention, and the drawings only show the components related to the present invention rather than the number, shape and size of the components in actual implementation, the shape, number and proportion of the components in actual implementation can be changed freely, and the layout of the components can be more complicated.
Example 1
As shown in fig. 1, a method of determining scleral spur includes the steps of:
s1: adopting near infrared light to irradiate and collect an anterior segment cornea image;
s2: determining a contour line of the upper surface of the cornea through the anterior segment cornea image;
s3: performing refractive correction on points below the contour line of the upper surface in the anterior segment cornea image to obtain an actual image of the cornea;
s4: determining an iris and a cornea in the actual image of the cornea;
s5: and determining the position of the scleral spur according to the position of the iris.
In a specific embodiment of the present invention, the wavelength of the near infrared light is 790nm to 890 nm; the cornea image collected in step S1 is 20 to 30 sheets; the gray value selected in step S2 is 20-30.
As shown in fig. 2, in a specific embodiment of the present invention, the step S2 includes the following steps:
s21: selecting a gray value threshold value to perform dichotomy processing on the anterior segment cornea image to obtain a dichotomy image;
s22: processing the connected region of the two-part image to determine a partial contour line of the upper surface of the cornea;
s23: and fitting the points of the partial contour line to obtain a complete contour line of the upper surface of the cornea.
It is understood that in a specific embodiment, S23 includes: and fitting the points of the partial contour line for 2 times to obtain a parabola.
As shown in fig. 3, in a specific embodiment, step S3 includes the following steps:
s31: dividing the coordinate data of the point below the contour line by the light speed correction ratio to obtain the coordinate data after primary correction, wherein the light speed correction ratio is the ratio of the propagation speed of the near infrared light in the cornea to the propagation speed of the near infrared light in the air;
s32: calculating the refraction angle of the near infrared light in the cornea according to a refraction law;
s33: and obtaining coordinate data of points below the contour line after the secondary correction according to the coordinate data after the primary correction and the refraction angle, and obtaining an actual image of the cornea.
As shown in fig. 4, in a specific embodiment, step S4 includes the following steps:
s41: selecting a half of the actual image of the cornea as a half-angle image, and carrying out dichotomy processing on the half-angle image to obtain a dichotomy half-angle image;
s42: and carrying out regional processing on the halved half-angle image to obtain two largest connected regions, wherein the connected region of the center of the connected region close to the center of the halved half-angle image is the iris, and the other connected region is the cornea.
As shown in fig. 5, in a specific embodiment, step S5 includes the following steps:
s51: determining a longitudinal axis with boundary points of the iris close to the room angle;
s52: the intersection of the longitudinal axis and the lower boundary of the cornea is the scleral spur.
In another embodiment, step S5 includes the following steps: and the intersection point of the contour line of the upper surface of the iris which is translated upwards to the contour line of the lower surface of the cornea is the scleral spur.
Example 2
The present embodiment describes the method of the present application with more specific steps:
1. as shown in figure 6, 20 images of the anterior segment of the eye are collected by using 790nm near infrared light for irradiation, the collected images of the anterior segment of the eye are aligned, and then a high-definition image of the anterior segment of the eye is obtained by superposition.
In another embodiment of the present invention, an image of the cornea of the anterior segment of the eye of 30 may be acquired using 890nm near infrared illumination.
2. Determining a contour line of the upper surface of the cornea through the anterior segment cornea image;
the original image of the chamber angle acquired by the anterior segment OCT includes the left half chamber angle and the right half chamber angle, and because the refractive indexes of light in air and tissue fluid in the cornea are different, the chamber angle needs to be subjected to refraction correction to obtain a cornea image close to the reality, as shown in fig. 7. The image is divided into two parts by selecting a threshold value with a gray value of 20-30, the cornea can be found through a communication area, so that the partial contour lines of the upper surfaces of the left and right corneas are determined, then a series of points of the found partial contour lines of the upper surfaces are subjected to quadratic fitting to obtain a parabola, and the parabola can be approximated to the complete contour line of the upper surface of the cornea.
3. Performing refraction correction on points below the contour line of the upper surface in the anterior segment cornea image to obtain an actual image of the cornea;
as shown in fig. 12, since the speed of light in air is different from that in the cornea, the coordinate data of the points below the contour line of the fitted cornea surface 11 needs to be divided by the ratio of the speed of light in the cornea to that of air, specifically, the incident light 10 enters the cornea at the incident angle 4 to obtain the refracted light 9; the coordinate data for the initial point position 7 needs to be divided by the ratio of the velocity of the light at the cornea to the velocity of the air to give a corrected position 6 divided by the ratio of the velocity of the light.
Then, the refraction angle of the near infrared light in the cornea is calculated according to the law of refraction n1 sin (a1) ═ n2 sin (a 2). Where n1 is the refractive index in air, a1 is the angle of the incident angle 4, n2 is the refractive index of the cornea, and the calculated a2 is the angle of the refraction angle 5, and the position 8 after the refraction correction is obtained, that is, the actual image of the cornea is obtained.
4. Determining an iris and a cornea in the actual image of the cornea;
as shown in fig. 8, in the actual image of the cornea, half of the actual image of the cornea was selected as the half angle. As shown in fig. 9, the gray value of 20-30 is selected to divide the image into two parts, and then the connected regions are processed for the left and right corners. The connected region algorithm is used for labeling each connected region in the binary image so as to position and count the targets in the image.
As shown in fig. 10, of the maximum 2 connected regions, the connected region whose center is close to the center of the bisected half-angle image is the iris, and the other connected region is the cornea.
5. And determining the position of the scleral spur according to the position of the iris.
Since light is incident perpendicularly to the cornea 1, the position of the scleral spur 2 can be determined from the most border point of the iris 3, since the absorption of light by the cornea 1 on both sides of the scleral spur 2 is not uniform, as shown in fig. 11. Specifically, two boundary points of the iris 3 are an iris boundary point 12 close to the room angle and an iris boundary point 13 close to the pupil, a longitudinal axis 14 parallel to the visual axis and the optical axis of the human eye is determined by the iris boundary point 12 close to the room angle, and the intersection point of the longitudinal axis 14 and the lower boundary of the cornea is the scleral spur 2.
In another embodiment, the scleral spur is formed by translating the contour of the upper surface of the iris up to the intersection of the contour of the lower surface of the cornea.
As shown in fig. 11 and 12, a vertical line is made to intersect with the iris at a position 500um or 750um forward from the scleral spur 2, and the vertical distance of 2 points is taken. Trabecular-iris space area (TISA), a trapezoidal area whose boundaries are defined as follows: the front boundary is AOD500 or AOD 750; the posterior border is from the perpendicular line of the scleral spur and the inner wall of the sclera to the iris on the opposite side; the upper boundary is the inner side wall of the corneosclera edge; the lower border is the surface of the iris, which further allows diagnosis and treatment of disease.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several equivalent substitutions or obvious modifications can be made without departing from the spirit of the invention, and all the properties or uses are considered to be within the scope of the invention.
Claims (9)
1. A method of determining scleral spur comprising the steps of:
s1: adopting near infrared light to irradiate and collect an anterior segment cornea image;
s2: determining a contour line of the upper surface of the cornea through the anterior segment cornea image;
s3: performing refractive correction on points below the contour line of the upper surface in the anterior segment cornea image to obtain an actual image of the cornea;
s4: determining an iris and the cornea in the actual image of the cornea;
s5: determining the position of a scleral spur according to the position of the iris; the step S5 includes the following steps:
s51: determining a longitudinal axis with boundary points of the iris close to the room angle;
s52: the intersection of the longitudinal axis and the lower boundary of the cornea is the scleral spur.
2. The method of determining scleral spur of claim 1, wherein the wavelength of the near infrared light is 790nm to 890 nm.
3. The method of determining scleral spur as set forth in claim 1, wherein the step S2 comprises the steps of:
s21: selecting a gray value threshold value to perform dichotomy processing on the anterior segment cornea image to obtain a dichotomy image;
s22: processing the connected region of the two-part image to determine a partial contour line of the upper surface of the cornea;
s23: and fitting the points of the partial contour line to obtain a complete contour line of the upper surface of the cornea.
4. The method of claim 3, wherein the gray scale value selected in step S2 is 20-30.
5. The method of claim 3, wherein step S23 includes: and fitting the points of the partial contour line for 2 times to obtain a parabola.
6. The method of determining scleral spur as set forth in claim 1, wherein the step S3 comprises the steps of:
s31: dividing the coordinate data of the point below the contour line by the light speed correction ratio to obtain the coordinate data after primary correction, wherein the light speed correction ratio is the ratio of the propagation speed of the near infrared light in the cornea to the propagation speed of the near infrared light in the air;
s32: calculating the refraction angle of the near infrared light in the cornea according to a refraction law;
s33: and obtaining coordinate data of points below the contour line after the secondary correction according to the coordinate data after the primary correction and the refraction angle, and obtaining an actual image of the cornea.
7. The method of determining scleral spur as set forth in claim 1, wherein the step S4 comprises the steps of:
s41: selecting a half of the actual image of the cornea as a half-angle image, and carrying out dichotomy processing on the half-angle image to obtain a dichotomy half-angle image;
s42: and carrying out region processing on the halved half-angle image to obtain two largest connected regions, wherein the center of the connected region close to the center of the connected region of the halved half-angle image is the iris, and the other connected region is the cornea.
8. The method of determining scleral spur as set forth in claim 1, wherein the step S5 comprises the steps of: and the intersection point of the contour line of the upper surface of the iris which is translated upwards to the contour line of the lower surface of the cornea is the scleral spur.
9. The method for determining scleral spur according to any one of claims 1 to 8, wherein the image of the cornea collected in step S1 is 20 to 30 sheets.
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| CN102136135A (en) * | 2011-03-16 | 2011-07-27 | 清华大学 | Method for extracting inner outline of cornea from optical coherence tomography image of anterior segment of eye and method for extracting inner outline of anterior chamber from optical coherence tomography image of anterior segment of eye |
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| US7072047B2 (en) * | 2002-07-12 | 2006-07-04 | Case Western Reserve University | Method and system for quantitative image correction for optical coherence tomography |
| CN101360523B (en) * | 2006-01-17 | 2013-05-29 | 创森德医疗设备公司 | Glaucoma treatment device |
| US8967810B1 (en) * | 2013-04-30 | 2015-03-03 | Thomas C. Prager | Methodology to identify the scleral spur |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11113885A (en) * | 1997-10-08 | 1999-04-27 | Oki Electric Ind Co Ltd | Individual identification device and method thereof |
| CN102136135A (en) * | 2011-03-16 | 2011-07-27 | 清华大学 | Method for extracting inner outline of cornea from optical coherence tomography image of anterior segment of eye and method for extracting inner outline of anterior chamber from optical coherence tomography image of anterior segment of eye |
| CN105608314A (en) * | 2015-12-17 | 2016-05-25 | 深圳市斯尔顿科技有限公司 | Corneal diopter calculation method and system |
| CN108652583A (en) * | 2018-02-11 | 2018-10-16 | 温州眼视光发展有限公司 | Detect corneal thickness and the device and method of curvature |
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Effective date of registration: 20211221 Address after: 518000 803, block B, Jingang center, Jingang building, houye community, Xixiang street, Bao'an District, Shenzhen, Guangdong Patentee after: Shenzhen moting Medical Technology Co.,Ltd. Address before: 518000 Room 501, 5 / F, block C, phase II, saitu digital technology park, 137 Bulan Road, Buji street, Longgang District, Shenzhen City, Guangdong Province Patentee before: SHENZHEN CERTAINN TECHNOLOGY Co.,Ltd. Patentee before: SHENZHEN MOPTIM IMAGING TECHNIQUE Co.,Ltd. |
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| CP03 | Change of name, title or address | ||
| CP03 | Change of name, title or address |
Address after: Room L302, Building 2, Skyworth Innovation Valley, No. 8 Tangtou 1st Road, Tangtou Community, Shiyan Street, Bao'an District, Shenzhen City, Guangdong Province, 518108 Patentee after: Shenzhen Moting Medical Technology Co.,Ltd. Address before: 518000 803, block B, Jingang center, Jingang building, houye community, Xixiang street, Bao'an District, Shenzhen, Guangdong Patentee before: Shenzhen moting Medical Technology Co.,Ltd. |