CN109124566B - Ophthalmic imaging system with automatic retina feature detection - Google Patents

Ophthalmic imaging system with automatic retina feature detection Download PDF

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CN109124566B
CN109124566B CN201810916724.9A CN201810916724A CN109124566B CN 109124566 B CN109124566 B CN 109124566B CN 201810916724 A CN201810916724 A CN 201810916724A CN 109124566 B CN109124566 B CN 109124566B
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CN109124566A (en
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赵颖
姜文静
苑伏香
周占宇
王晓静
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Qingdao Municipal Hospital
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Abstract

本发明公开了一种具有自动视网膜特征检测的眼科成像系统,主要包括用户信息模块、位置测量校正模块、视网膜扫描模块、成像模块、数据筛选模块、信息存储模块、异常信息记录模块;本发明系统通过互联网传输患者病例信息,保护患者隐私的同时,为相关专业的医护人员提供了交流平台,促进了相关行业的成长;并且系统功能全面,可以有效对用户视网膜眼前节、眼后节与虹膜进行检查,可以将用户的异常检查信息进行收集记录;同时可以根据用户视网膜上的生物特征对用户身份进行识别。

Figure 201810916724

The invention discloses an ophthalmic imaging system with automatic retinal feature detection, which mainly includes a user information module, a position measurement and correction module, a retinal scanning module, an imaging module, a data screening module, an information storage module, and an abnormal information recording module; the system of the invention Transmission of patient case information through the Internet, while protecting patient privacy, provides a communication platform for relevant professional medical staff, and promotes the growth of related industries; and the system has comprehensive functions, which can effectively conduct research on the anterior segment of the retina, posterior segment of the eye and iris of the user's retina. For inspection, the abnormal inspection information of the user can be collected and recorded; at the same time, the user identity can be identified according to the biometric features on the user's retina.

Figure 201810916724

Description

Ophthalmic imaging system with automatic retina feature detection
Technical Field
The invention relates to the technical field of ophthalmic imaging, in particular to an ophthalmic imaging system with automatic retina feature detection.
Background
Optical Coherence Tomography (OCT), a new optical diagnostic technique, is non-invasive and non-contact. The existing ophthalmic optical coherence tomography equipment can only image the posterior segment of the eye, such as the examination of retina, and has indispensable effects on the diagnosis of diseases of the fundus oculi, especially on the diagnosis of optic nerves (such as optic neuritis and optic atrophy), macular diseases (such as idiopathic macular hole and epimacular membrane), retinal detachment, mesoplasm, and mesosmosis. Or only the anterior segment of the eye can be imaged, namely the biological measurement and the eye disease research of the anterior segment structures of cornea, angle of the house, crystalline lens and the like, and the dynamic observation and the real-time imaging before and after the operation can be carried out. However, there is no method for simply switching between anterior segment imaging and posterior segment imaging, which can be used in an ophthalmologic inspection apparatus.
In Optical Coherence Tomography (OCT) imaging, efforts are made to obtain high image quality to enable reproducible and clear visualization of structures and pathologies as well as quantitative measurement of features and layers in the eye. OCT measurements of the back of the eye are typically done using a focused beam in the pupil plane and entering the beam through the center of the pupil. In theory, this allows the greatest possible entrance and exit of the pupil, allowing the optimal collection of the OCT signal as well as any additional signals for alignment purposes. The resulting retinal image shows bands of different reflectance signals associated with the layers that have been histologically determined. Segmentation (segmentation) of retinal tissue is typically performed based on observed inter-layer reflectivity differences, although information about the expected structure of these layers may also be used. It has recently been recognized that the reflectivity of certain structures in the eye may depend on the local tilt of the retina relative to the OCT beam.
Although the central entry point is nominally optimal, there are many reasons for using an entry point that is not central. In subjects with interstitial opacities such as cataracts, the measuring beam may not pass adequately through the opacities. In this case, it is sometimes possible to guide the measuring beam through different entry positions in order to avoid the turbid body. In other subjects, the shape of the eye may cause the image of the retinal tissue to appear tilted. Different entry points in the pupil may result in a flatter image. Because layer measurements are typically completed along the A-scan, flatter retinas may yield measurements with less geometric error. In addition, because many OCT systems further degrade signal quality by zero delay, flatter retinas may have better intensity uniformity across the B-scan. Finally, some tissues in the eye have a reflectivity that depends on the angle of incidence of the light. Ensuring that the flat retina at each visit reduces the variation in incident angle across multiple visits, which reduces the effect of directional reflectivity on variability of measurements made on the image. Alternatively, optimal imaging of tissue with strong directional reflectivity may require specific angles of incidence, which geometrically require different pupil entry locations, or may even require the use of multiple angles of incidence (and thus multiple pupil entry locations) to combine prior to layer detection.
Disclosure of Invention
In response to the above-identified problems in the prior art, the present invention provides an ophthalmic imaging system with automatic retinal feature detection.
The technical scheme of the invention is as follows: an ophthalmic imaging system with automatic retina feature detection mainly comprises an ophthalmic imaging system with automatic retina feature detection, a user information module, a position measurement correction module, a retina scanning module, an imaging module and a data screening module, wherein the ophthalmic imaging system with automatic retina feature detection is respectively connected with the user information module, the position measurement correction module, the retina scanning module, the imaging module and the data screening module;
the user information module comprises an automatic matching unit, a retina biological characteristic identification unit and an identity information identification unit; the identity information identification unit is used for checking the identity of the user according to the identity information and the number information provided by the user; the retina biological characteristic identification unit is used for verifying and identifying biological characteristic information in the retina of a user who uses the system; the automatic matching unit is used for matching the identity information submitted by the user with the retina biological characteristic information;
the position measurement correction module comprises a transmission lens correction unit, an objective lens correction unit and a butt eye position correction unit; the eye joint position correcting unit is used for adjusting the displacement and the inclination of the separated crystalline lens to joint the imaging device with the eyeball of the user; the lens and the objective lens correction unit are used for adjusting the height difference between the lens group and the objective lens;
the retina scanning module comprises an OTC anterior ocular segment scanning unit, an OTC posterior ocular segment scanning unit, an OTC iris scanning unit and a continuous scanning unit; the OTC anterior ocular segment scanning unit, the OTC posterior ocular segment scanning unit and the OTC iris scanning unit are all connected with an optical coherence tomography scanner; the optical coherence tomography scanner is internally provided with a light source generator, a light adjusting device, a first lens, a first collimating mirror, a third lens, a second collimating mirror, a second lens, a second chromatic mirror, an ophthalmoscope and a scanning device; the OTC anterior ocular segment scanning unit emits light waves through a light source generator, then the light waves are emitted through a light adjusting device and a first lens, and the anterior ocular segment is scanned through a collimating mirror I and a scanning device; the OTC eye back scanning unit emits light waves through a light source generator, then the light waves are emitted through a light adjusting device and a first lens, and the eye back is scanned through a second collimating lens, a second chromatic mirror and a scanning device; the OTC iris scanning unit emits light waves through a light source generator, then the light waves are emitted through a light adjusting device and a first lens, and the light waves are scanned on irises through a third lens, a fundoscope and a scanning device; the continuous scanning unit is used for defaulting to carry out three times of scanning work when a user carries out anterior segment scanning, posterior segment scanning and iris scanning;
the imaging module comprises an anterior segment imaging unit, a posterior segment imaging unit, an iris imaging unit and an image noise reduction unit; the anterior ocular segment imaging unit is used for converting the signal light scanned by the OTC anterior ocular segment scanning unit and outputting image information by the imaging device; the posterior eye imaging unit is used for converting the signal light scanned by the OTC posterior eye scanning unit and outputting image information by the imaging device; the iris imaging unit is used for converting the signal light scanned by the OTC iris scanning unit and finally outputting image information by the imaging device; the image noise reduction unit eliminates the interference of noise on the imaging device through the self-adaptive wiener filter;
the data screening module comprises an anterior segment image screening unit, a posterior segment image screening unit and an iris image screening unit; the anterior ocular segment image screening unit is used for comparing the brightness, dark spots and virtual images of a plurality of anterior ocular segment images generated under the action of the continuous scanning unit and the imaging module, so as to screen the anterior ocular segment images with highest brightness, least dark spots and least virtual images; the posterior segment image screening unit is used for comparing the brightness, dark spots and virtual images of a plurality of posterior segment images generated under the action of the continuous scanning unit and the imaging module, so as to screen out the posterior segment images with highest brightness, least dark spots and least virtual images; the iris image screening unit is used for comparing the brightness, dark spots and virtual images of a plurality of iris images generated under the action of the continuous scanning unit and the imaging module, so that the iris image with the highest brightness, the least dark spots and the least virtual images is screened out.
Further, the ophthalmic imaging system for automatic retinal feature detection further comprises an information storage module, wherein the information storage module comprises a user information storage unit, an imaging information storage unit and a retinal biological feature storage unit; the user information storage unit is used for storing user personal information and examination and treatment information; the imaging information storage unit is used for storing the retina image information of the current and past diagnosis and examination of the user; the retina biological characteristic storage unit is used for storing biological characteristics on the retina newly found by the user at each check; the medical staff can compare the image result of the user when the retina imaging examination is performed before.
Further, the ophthalmic imaging system for automatic retinal feature detection further comprises an abnormal information recording module, wherein the abnormal information recording module comprises an anterior segment abnormal information recording unit, a posterior segment abnormal information recording unit, an iris abnormal information recording unit and a system abnormal information recording unit; the anterior segment abnormal information recording unit is used for recording pathological change information and relevant symptoms on the anterior segment of the eye of the user; the posterior segment abnormal information recording unit is used for recording pathological change information and relevant symptoms on the posterior segment of the eye of the user; the iris abnormal information recording unit is used for recording pathological change information and relevant symptoms on the iris of the user; the system abnormal information recording unit is used for recording the conditions of system breakdown, crash and power failure; the doctor is helped to analyze the illness state of the user by recording abnormal information on the retina of the user, and related staff are helped to complete the system by recording the abnormal information of the system.
Further, the preferred docking position of the docking eye position correction unit is the pupil center of the user; when the docking position is the pupil center, the image is clearest.
Further, a power-off executing mechanism is arranged in the ophthalmic imaging system for automatic retina feature detection; the power-off executing mechanism is used for storing the command after the power-off occurs due to an emergency, and the equipment automatically restores to the original switching state after power-on; and data loss caused by unexpected power failure is prevented.
Further, the image information generated by the imaging module can be transmitted through the internet; the hospitals using the system can mutually exchange the case information of patients, and the treatment of the retina diseases is perfected.
Furthermore, a user information protection unit is also arranged in the user information module, and the user information protection unit simultaneously encrypts the system database in the background and the foreground and the background; the system acquiescently agrees with NetBEUI network protocol software, IPX/SPX network protocol software and TCP/IP network protocol software; moreover, the security is better than that of the HTTP protocol in the case of using HTTPS; after encryption is completed, the generated ciphertext is stored in the database, and the ciphertext generated by the same encryption algorithm is compared with the database when the user logs in next time, so that the identity information and the biological characteristic information of the user are protected more effectively.
The invention has the beneficial effects that:
1. the system effectively avoids the influence of noise on imaging by carrying out noise reduction treatment during imaging, so that images obtained by a user and medical staff are clearer, and the medical staff can analyze the state of an illness;
2. the system transmits the patient case information through the Internet, protects the privacy of the patient, provides a communication platform for medical care personnel of related major, and promotes the growth of related industries;
3. the system of the invention continuously images and then screens the images, thereby avoiding the situation that the medical care personnel judges the retina situation of the user is influenced by the conditions of low image brightness, dark spots, virtual shadow and the like in the traditional working mode.
4. The system has comprehensive functions, can effectively check the anterior segment of the retina eye, the posterior segment of the retina eye and the iris of the user, and can collect and record abnormal checking information of the user; meanwhile, the identity of the user can be identified according to the biological characteristics on the retina of the user.
Drawings
FIG. 1 is a block diagram of the system architecture of the present invention;
fig. 2 is a schematic diagram of the operation of the optical coherence tomography scanner of the present invention.
Wherein, 1-an automatic retina feature detection ophthalmology imaging system, 2-a user information module, 21-an automatic matching unit, 22-a retina biological feature recognition unit, 23-an identity information recognition unit, 3-a position measurement correction module, 31-a transparent object lens correction unit, 32-a butt eye position correction unit, 4-a retina scanning module, 41-an OTC anterior segment scanning unit, 42-an OTC posterior segment scanning unit, 43-an OTC iris scanning unit, 44-a continuous scanning unit, 5-an imaging module, 51-an anterior segment imaging unit, 52-a posterior segment imaging unit, 53-an iris imaging unit, 54-an image noise reduction unit, 6-a data screening module, 61-an anterior segment image screening unit, 62-a posterior segment image screening unit, 63-iris image screening unit, 7-information storage module, 71-user information storage unit, 72-imaging information storage unit, 73-retina biological characteristic storage unit, 8-abnormal information recording module, 81-anterior segment abnormal information recording unit, 82-posterior segment abnormal information recording unit, 83-iris abnormal information recording unit, 84-system abnormal information recording unit, 100-optical coherence tomography scanner, 101-light source generator, 102-light adjusting device, 103-first lens, 104-first collimating mirror, 105-third lens, 106-second collimating mirror, 107-second lens, 108-second chromatic mirror, 109-ophthalmoscope and 110-scanning device.
Detailed Description
The invention will be described in more detail below with reference to fig. 1 and a specific embodiment.
As shown in fig. 1, an ophthalmic imaging system with automatic retinal feature detection mainly includes an ophthalmic imaging system 1 with automatic retinal feature detection, a user information module 2, a position measurement correction module 3, a retinal scanning module 4, an imaging module 5, and a data screening module 6, where the ophthalmic imaging system 1 with automatic retinal feature detection is respectively connected with the user information module 2, the position measurement correction module 3, the retinal scanning module 4, the imaging module 5, and the data screening module 6;
the user information module 2 comprises an automatic matching unit 21, a retina biological characteristic recognition unit 22 and an identity information recognition unit 23; the identity information identification unit 23 is used for checking the identity of the user according to the identity information and the number information provided by the user; the retina biological characteristic identification unit 22 is used for performing verification and identification on biological characteristic information in the retina of a user who uses the system; the automatic matching unit 21 is used for matching the identity information submitted by the user with the retina biological characteristic information;
the position measurement correction module 3 comprises a transmission and objective lens correction unit 31 and a butt eye position correction unit 32; a pair-eye position correction unit 32 for adjusting the shift and tilt of the separation lens to couple the imaging device with the eyeball of the user; the lens and objective lens correction unit 31 is used for adjusting the height difference between the lens group and the objective lens;
the retina scanning module 4 comprises an OTC anterior ocular segment scanning unit 41, an OTC posterior ocular segment scanning unit 42, an OTC iris scanning unit 43 and a continuous scanning unit 44; the OTC anterior ocular segment scanning unit 41, the OTC posterior ocular segment scanning unit 42 and the OTC iris scanning unit 43 are all connected with the optical coherence tomography scanner 100; the optical coherence tomography scanner 100 is internally provided with a light source generator 101, a light adjusting device 102, a first lens 103, a first collimating mirror 104, a third lens 105, a second collimating mirror 106, a second lens 107, a second dichroic mirror 108, an ophthalmoscope 109 and a scanning device 110; the OTC anterior ocular segment scanning unit 41 emits light waves through the light source generator 101, then emits the light waves through the light adjusting device 102 and the first lens 103, and scans the anterior ocular segment through the first collimating mirror 104 and the scanning device 110; the OTC post-eye scanning unit 42 emits a light wave through the light source generator 101, then emits the light wave through the light adjusting device 102 and the first lens 103, and scans the post-eye segment through the second collimating mirror 106, the second lens 107, the second chromatic mirror 108 and the scanning device 110; the OTC iris scanning unit 43 emits light waves through the light source generator 101, then emits the light waves through the light adjusting device 102 and the first lens 103, and scans irises through the third lens 105, the ophthalmoscope 109 and the scanning device 110; the continuous scanning unit 44 is configured to perform three times of scanning operations by default when the user performs anterior segment scanning, posterior segment scanning, and iris scanning;
the imaging module 5 comprises an anterior segment imaging unit 51, a posterior segment imaging unit 52, an iris imaging unit 53 and an image noise reduction unit 54; the anterior ocular segment imaging unit 51 is configured to convert the signal light scanned by the anterior ocular segment scanning unit 41 of the OTC, and finally output image information by an imaging device; the posterior ocular segment imaging unit 52 is configured to convert the signal light scanned by the OTC posterior ocular segment scanning unit 42, and finally output image information by an imaging device; the iris imaging unit 51 is used for converting the signal light scanned by the OTC iris scanning unit 43, and finally outputting image information by an imaging device; the image noise reduction unit 54 eliminates interference of noise to the imaging device through the adaptive wiener filter;
the data screening module 6 comprises an anterior segment image screening unit 61, a posterior segment image screening unit 62 and an iris image screening unit 63; the anterior ocular segment image screening unit 61 is configured to compare the brightness, dark spots and virtual images of the plurality of anterior ocular segment images generated by the continuous scanning unit 44 and the imaging module 5, so as to screen an anterior ocular segment image with the highest brightness, the least dark spots and the least virtual images; the posterior segment image screening unit 62 is configured to compare the brightness, dark spots and virtual images of the plurality of posterior segment images generated under the action of the continuous scanning unit 44 and the imaging module 5, so as to screen out a posterior segment image with the highest brightness, the least dark spots and the least virtual images; the iris image screening unit 63 is configured to compare the brightness, dark spots and virtual images of the iris images generated by the continuous scanning unit 44 and the imaging module 5, so as to screen out an iris image with the highest brightness, the least dark spots and the least virtual images.
The ophthalmic imaging system 1 for automatic retinal feature detection further comprises an information storage module 7, wherein the information storage module 7 comprises a user information storage unit 71, an imaging information storage unit 72 and a retinal biological feature storage unit 73; the user information storage unit 71 is used for storing user personal information and examination and treatment information; the imaging information storage unit 72 is used for storing the retina image information of the current and past diagnosis and examination of the user; the retina biometric storage unit 73 is used for storing biometrics on the retina newly found by the user at each examination; the medical staff can compare the image results of the user in the previous retina imaging examination; the ophthalmologic imaging system 1 for automatic retinal feature detection further includes an abnormality information recording module 8, and the abnormality information recording module 8 includes an anterior segment abnormality information recording unit 81, a posterior segment abnormality information recording unit 82, an iris abnormality information recording unit 83, and a system abnormality information recording unit 84; the anterior segment abnormal information recording unit 81 is used for recording lesion information and related symptoms on the anterior segment of the eye of the user; the posterior segment abnormal information recording unit 82 is used for recording pathological change information and relevant symptoms on the posterior segment of the eye of the user; the iris abnormal information recording unit 83 is used for recording pathological change information and relevant symptoms on the iris of the user; the system abnormal information recording unit 84 is used for recording the conditions of system breakdown, crash and power failure; the doctor is helped to analyze the illness state of the user by recording abnormal information on the retina of the user, and related staff are helped to perfect the system by recording the abnormal information of the system; the docking position preferred by the docking eye position correction unit 32 is the user pupil center; when the docking position is the pupil center, the image is clearest; the ophthalmic imaging system 1 for automatic retina feature detection is internally provided with a power-off actuating mechanism; the power-off executing mechanism is used for storing the command after the power-off happens due to an emergency, and the equipment automatically restores to the original switching state after power-on; data loss caused by accidental power failure is prevented; the image information generated by the imaging module 5 can be transmitted through the internet; hospitals using the system can mutually exchange case information of patients, and the treatment of retinal diseases is perfected; the user information module is also internally provided with a user information protection unit which simultaneously encrypts the system database in the background and the foreground and the background; the system acquiescently agrees with NetBEUI network protocol software, IPX/SPX network protocol software and TCP/IP network protocol software; moreover, the security is better than that of the HTTP protocol in the case of using HTTPS; after encryption is completed, the generated ciphertext is stored in the database, and the ciphertext generated by the same encryption algorithm is compared with the database when the user logs in next time, so that the identity information and the biological characteristic information of the user are protected more effectively.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (1)

1.一种具有自动视网膜特征检测的眼科成像系统,其特征在于,主要包括自动视网膜特征检测的眼科成像系统(1)、用户信息模块(2)、位置测量校正模块(3)、视网膜扫描模块(4)、成像模块(5)、数据筛选模块(6),所述自动视网膜特征检测的眼科成像系统(1)分别与所述用户信息模块(2)、位置测量校正模块(3)、视网膜扫描模块(4)、成像模块(5)、数据筛选模块(6)连接;用户信息模块(2)包括自动匹配单元(21)、视网膜生物特征识别单元(22)、身份信息识别单元(23);所述身份信息识别单元(23)用于根据用户提供的身份信息与编号信息核对用户身份;所述视网膜生物特征识别单元(22)用于对使用过本系统的用户进行视网膜上的生物特征信息核对识别;所述自动匹配单元(21)用于匹配用户提交的身份信息与视网膜上的生物特征信息;位置测量校正模块(3)包括透、物镜校正单元(31)、对接眼位置校正单元(32);所述对接眼位置校正单元(32)用于调整分离晶状体的移位和倾斜将成像装置与用户眼球对接;所述透、物镜校正单元(31)用于调整透镜组与物镜高度差;视网膜扫描模块(4)包括OTC眼前节扫描单元(41)、OTC眼后节扫描单元(42)、OTC虹膜扫描单元(43)、连续扫描单元(44);所述OTC眼前节扫描单元(41)、OTC眼后节扫描单元(42)、OTC虹膜扫描单元(43)都与光学相干断层扫描仪(100)连接;所述光学相干断层扫描仪(100)内设有光源发生器(101)、光调节装置(102)、第一透镜(103)、准直镜一(104)、第三透镜(105)、准直镜二(106)、第二透镜(107)、第二色镜(108)、眼底镜(109)、扫描装置(110);所述OTC眼前节扫描单元(41)通过光源发生器(101)发射光波,随后经过光调节装置(102)与第一透镜(103)射出,再经过准直镜一(104)与扫描装置(110)对眼前节进行扫描;所述OTC眼后节扫描单元(42)通过光源发生器(101)发射光波,随后经过光调节装置(102)与第一透镜(103)射出,再经过准直镜二(106)、第二透镜(107)、第二色镜(108)与扫描装置(110)对眼后节进行扫描;所述OTC虹膜扫描单元(43)通过光源发生器(101)发射光波,随后经过光调节装置(102)与第一透镜(103)射出,再经过第三透镜(105)、眼底镜(109)与扫描装置(110)对虹膜进行扫描;所述连续扫描单元(44)用于在用户进行眼前节扫描、眼后节扫描与虹膜扫描时,默认进行三次扫描工作;成像模块(5)包括眼前节成像单元(51)、眼后节成像单元(52)、虹膜成像单元(53)、图像降噪单元(54);所述眼前节成像单元(51)用于将OTC眼前节扫描单元(41)扫描后的信号光进行转换,最终由成像装置输出图像信息;所述眼后节成像单元(52)用于将OTC眼后节扫描单元(42)扫描后的信号光进行转换,最终由成像装置输出图像信息;所述虹膜成像单元(53)用于将OTC虹膜扫描单元(43)扫描后的信号光进行转换,最终由成像装置输出图像信息;所述图像降噪单元(54)通过自适应维纳滤波器排除噪音对成像装置干扰;数据筛选模块(6)包括眼前节图像筛选单元(61)、眼后节图像筛选单元(62)、虹膜图像筛选单元(63);所述眼前节图像筛选单元(61)用于比对因为连续扫描单元(44)与成像模块(5)作用下产生的多个眼前节图像的亮度、暗斑与虚影的情况,从而筛选出亮度最高,暗斑最少,虚影最少的眼前节图像;所述眼后节图像筛选单元(62)用于比对因为连续扫描单元(44)与成像模块(5)作用下产生的多个眼后节图像的亮度、暗斑与虚影的情况,从而筛选出亮度最高,暗斑最少,虚影最少的眼后节图像;所述虹膜图像筛选单元(63)用于比对因为连续扫描单元(44)与成像模块(5)作用下产生的多个虹膜图像的亮度、暗斑与虚影的情况,从而筛选出亮度最高,暗斑最少,虚影最少的虹膜图像;1. An ophthalmic imaging system with automatic retinal feature detection, characterized in that it mainly comprises an ophthalmic imaging system (1), a user information module (2), a position measurement correction module (3), a retinal scanning module for automatic retinal feature detection (4), an imaging module (5), a data screening module (6), the ophthalmic imaging system (1) for automatic retinal feature detection is respectively connected with the user information module (2), the position measurement and correction module (3), the retinal The scanning module (4), the imaging module (5), and the data screening module (6) are connected; the user information module (2) includes an automatic matching unit (21), a retinal biometric identification unit (22), and an identity information identification unit (23) ; Described identity information identification unit (23) is used for checking user identity according to the identity information and serial number information provided by the user; Described retinal biometric identification unit (22) is used to carry out biometrics on the retina to users who have used this system Information verification and identification; the automatic matching unit (21) is used to match the identity information submitted by the user with the biometric information on the retina; the position measurement and correction module (3) includes a transparent and objective lens correction unit (31), a docking eye position correction unit (32); the docking eye position correction unit (32) is used to adjust the displacement and tilt of the separated lens to dock the imaging device with the user's eyeball; the transparent and objective lens correction unit (31) is used to adjust the height of the lens group and the objective lens Poor; the retinal scanning module (4) includes an OTC anterior segment scanning unit (41), an OTC posterior segment scanning unit (42), an OTC iris scanning unit (43), and a continuous scanning unit (44); the OTC anterior segment scanning unit (41), the OTC eye posterior segment scanning unit (42), and the OTC iris scanning unit (43) are all connected to the optical coherence tomography scanner (100); the optical coherence tomography scanner (100) is provided with a light source generator ( 101), a light adjustment device (102), a first lens (103), a collimating lens (104), a third lens (105), a second collimating lens (106), a second lens (107), a second color lens mirror (108), ophthalmoscope (109), scanning device (110); the OTC anterior segment scanning unit (41) emits light waves through a light source generator (101), and then passes through a light adjusting device (102) and a first lens ( 103) shoot out, and then scan the anterior segment through a collimating mirror one (104) and a scanning device (110); the OTC posterior segment scanning unit (42) emits light waves through a light source generator (101), and then undergoes light adjustment The device (102) is emitted from the first lens (103), and then scans the posterior segment of the eye through the second collimator lens (106), the second lens (107), the second color mirror (108) and the scanning device (110); The OTC iris scanning unit (43) emits light waves through a light source generator (101), then emits light waves through a light adjustment device (102) and a first lens (103), and then passes through a third lens (105), an ophthalmoscope (10) 9) Scanning the iris with the scanning device (110); the continuous scanning unit (44) is used to perform three scans by default when the user scans the anterior segment, the posterior segment of the eye and the iris scan; the imaging module (5) An anterior segment imaging unit (51), an ocular posterior segment imaging unit (52), an iris imaging unit (53), and an image noise reduction unit (54) are included; the anterior segment imaging unit (51) is used for the OTC anterior segment scanning unit (41) The scanned signal light is converted, and finally image information is output by the imaging device; the posterior segment imaging unit (52) is used for converting the signal light scanned by the OTC posterior segment scanning unit (42), and finally the image information is output by the imaging device; The imaging device outputs image information; the iris imaging unit (53) is used to convert the signal light scanned by the OTC iris scanning unit (43), and finally the imaging device outputs image information; the image noise reduction unit (54) The interference of noise on the imaging device is eliminated by the adaptive Wiener filter; the data screening module (6) includes an anterior segment image screening unit (61), an eye posterior segment image screening unit (62), and an iris image screening unit (63); the The anterior segment image screening unit (61) is used to compare the brightness, dark spots and phantoms of a plurality of anterior segment images generated under the action of the continuous scanning unit (44) and the imaging module (5), so as to filter out the highest brightness , the anterior segment image with the least dark spots and the least phantom; the posterior segment image screening unit (62) is used to compare multiple posterior segments generated under the action of the continuous scanning unit (44) and the imaging module (5) The brightness, dark spots and phantoms of the image, so as to screen out the posterior segment image with the highest brightness, the least dark spots and the least phantom; the iris image screening unit (63) is used for comparison because the continuous scanning unit (44 ) and the situation of the brightness, dark spots and phantoms of a plurality of iris images generated under the action of the imaging module (5), thereby screening out the iris images with the highest brightness, the fewest dark spots and the least phantoms; 所述自动视网膜特征检测的眼科成像系统(1)还包括信息存储模块(7),所述信息存储模块(7)包括用户信息存储单元(71)、成像信息存储单元(72)、视网膜生物特征存储单元(73);所述用户信息存储单元(71)用于存储用户个人信息与检查就诊信息;所述成像信息存储单元(72)用于存储用户本次与以往就诊检查的视网膜图像信息;所述视网膜生物特征存储单元(73)用于存储用户每次检查时新发现的视网膜上的生物特征信息;The ophthalmic imaging system (1) for automatic retinal feature detection further includes an information storage module (7), the information storage module (7) includes a user information storage unit (71), an imaging information storage unit (72), a retinal biometric feature a storage unit (73); the user information storage unit (71) is used to store the user's personal information and examination information; the imaging information storage unit (72) is used to store the retinal image information of the user's current and previous medical examinations; The retinal biometric storage unit (73) is used for storing biometric information on the retina newly discovered by the user every time the user checks; 所述自动视网膜特征检测的眼科成像系统(1)还包括异常信息记录模块(8),所述异常信息记录模块(8)包括眼前节异常信息记录单元(81)、眼后节异常信息记录单元(82)、虹膜异常信息记录单元(83)、系统异常信息记录单元(84);所述眼前节异常信息记录单元(81)用于记录用户眼前节上的病变信息与相关症状;所述眼后节异常信息记录单元(82)用于记录用户眼后节上的病变信息与相关症状;所述虹膜异常信息记录单元(83)用于记录用户虹膜上的病变信息与相关症状;所述系统异常信息记录单元(84)用于记录系统出现崩溃、死机、断电情况;The ophthalmic imaging system (1) for automatic retinal feature detection further comprises an abnormality information recording module (8), and the abnormality information recording module (8) comprises an anterior segment abnormality information recording unit (81), a posterior segment abnormality information recording unit (82), an iris abnormality information recording unit (83), a system abnormality information recording unit (84); the anterior segment abnormality information recording unit (81) is used to record the lesion information and related symptoms on the anterior segment of the user; the eye The posterior segment abnormality information recording unit (82) is used to record the lesion information and related symptoms on the posterior segment of the user's eye; the iris abnormal information recording unit (83) is used to record the lesion information and related symptoms on the user's iris; the system The abnormal information recording unit (84) is used to record the system crash, crash and power failure; 所述对接眼位置校正单元(32)优选的对接位置为用户瞳孔中心;The preferred docking position of the docking eye position correction unit (32) is the center of the user's pupil; 所述自动视网膜特征检测的眼科成像系统(1)内设有断电执行机构;所述断电执行机构用于当因突发情况发生断电后,设备仍将保存此命令,待接电后设备自动恢复为原有的切换状态;The ophthalmic imaging system (1) for automatic retinal feature detection is provided with a power-off actuator; the power-off actuator is used for when a power outage occurs due to an unexpected situation, the device will still save the command, and the command will be saved after the power is turned on. The device automatically returns to the original switching state; 所述成像模块(5)生成的图像信息可以通过互联网进行传输;The image information generated by the imaging module (5) can be transmitted through the Internet; 所述自动视网膜特征检测的眼科成像系统(1)默认同意NetBEUI网络协议软件、IPX/SPX网络协议软件与TCP/IP网络协议软件。The ophthalmic imaging system (1) for automatic retinal feature detection agrees to NetBEUI network protocol software, IPX/SPX network protocol software and TCP/IP network protocol software by default.
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CN114224598B (en) * 2021-12-24 2024-05-31 艾视雅健康科技(苏州)有限公司 Method and device for adaptively adjusting output power of optical energy source of medical device
CN114241592A (en) * 2021-12-24 2022-03-25 艾视雅健康科技(苏州)有限公司 Ophthalmic medical device with user identification function
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102438505A (en) * 2011-04-23 2012-05-02 深圳市斯尔顿科技有限公司 Ophthalmology oct system and ophthalmology imaging method
CN102496007A (en) * 2011-12-02 2012-06-13 陈中山 Human body identity identification instrument
CN103188988A (en) * 2010-08-27 2013-07-03 索尼公司 Image processing apparatus and method
CN106659378A (en) * 2014-06-19 2017-05-10 诺华股份有限公司 Ophthalmic imaging system with automatic retinal feature detection
CN107194179A (en) * 2017-05-26 2017-09-22 苏州微清医疗器械有限公司 Fundus camera and eye fundus image image pickup method
CN108366002A (en) * 2018-03-10 2018-08-03 潍坊学院 A kind of multi-action computer network guard system

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103892791B (en) * 2014-04-04 2015-09-23 深圳市斯尔顿科技有限公司 ophthalmic measuring device and method
CN203935168U (en) * 2014-06-25 2014-11-12 深圳市斯尔顿科技有限公司 Can realize the ophthalmology OCT device of anterior ocular segment oculi posterior segment imaging simultaneously
CN107137057B (en) * 2017-05-31 2023-10-13 执鼎医疗科技(杭州)有限公司 OCT imaging device and method for anterior ocular segment
CN107582020B (en) * 2017-10-20 2019-05-31 视微影像(河南)科技有限公司 A kind of ophthalmology imaging diagnosis system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103188988A (en) * 2010-08-27 2013-07-03 索尼公司 Image processing apparatus and method
CN102438505A (en) * 2011-04-23 2012-05-02 深圳市斯尔顿科技有限公司 Ophthalmology oct system and ophthalmology imaging method
CN102496007A (en) * 2011-12-02 2012-06-13 陈中山 Human body identity identification instrument
CN106659378A (en) * 2014-06-19 2017-05-10 诺华股份有限公司 Ophthalmic imaging system with automatic retinal feature detection
CN107194179A (en) * 2017-05-26 2017-09-22 苏州微清医疗器械有限公司 Fundus camera and eye fundus image image pickup method
CN108366002A (en) * 2018-03-10 2018-08-03 潍坊学院 A kind of multi-action computer network guard system

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