CN105832284A - Binocular optical image separation detection device and method - Google Patents
Binocular optical image separation detection device and method Download PDFInfo
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- CN105832284A CN105832284A CN201610158001.8A CN201610158001A CN105832284A CN 105832284 A CN105832284 A CN 105832284A CN 201610158001 A CN201610158001 A CN 201610158001A CN 105832284 A CN105832284 A CN 105832284A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/02—Subjective types, i.e. testing apparatus requiring the active assistance of the patient
- A61B3/08—Subjective types, i.e. testing apparatus requiring the active assistance of the patient for testing binocular or stereoscopic vision, e.g. strabismus
Abstract
The invention discloses an binocular optical image separation detection device and a detection method, and relates to the field of optical image separation detection, aiming at solving the problems in the prior art of binocular optical image separation. The device comprises a computer, a projector, a screen, a screen slide rail, a trackball and a test board, wherein an image signal output end of the computer is connected to an image signal input end of the projector; the projector is used for projecting images on the screen; the test board is fixedly arranged in front of the screen; the screen can change a distance between the screen and the test board by virtue of the screen slide rail; a head fixing device is fixedly arranged on the test board, so that the head of a patient is fixed; a track signal output end of the trackball is connected to a track signal input end of the computer; and the trackball can generate track points on the screen. By virtue of the detection method, automatic and integrated detection of a whole course from detection mode setting, detection program operating, detection result image information acquiring, map generating and result quantifying to analyzing & interpreting and the like is achieved, and a positional relationship between real and virtual images can be truly reflected in the optical image separation of the patient.
Description
Technical field
The present invention relates to video separation detection field.
Background technology
Binocular vison is as producing two images when separation finger eyes see an object, and namely what is often called regards thing ghost image, the most also referred to as diplopia.
Owing to extraocular muscles active force is lost or weakens, when two eye fixation targets, sight line deviation target at a glance, make the image of object not
Can fall within the corresponding point of two eyes retina macular areas simultaneously, make people that one object is regarded as two.Mostly this symptom is due to brain
The reason infringement eye movement nerves such as angiopathy, diabetes, wound, aneurysm, infection cause ophthalmoplegia, for secondary symptom.
Patient usually can not differentiate the real image in ghost image and the virtual image, to the life of patient, learn, working makes troubles.
Detection method about this disease is a lot of at present, but the detection method being that by automatization is little, wherein:
(1) a kind of HESS detection with Aulomatizeted Detect function of Capital University of Medical Sciences's invention.This detection is by green glow speckle torch
Cylinder is connected with two dimension incremental angle encoder, angle signal is sent into μ PD78P014 single-chip microcomputer, calls Float Point Arithmetic Library and calculate,
Detected person is incident upon the position of each hot spot on HESS screen the most automatically record and print.This testing circuit figure sets
Meter complexity, testing result is affected relatively big by circuit,
(2) the application microcomputer image technique of the Capital University of Medical Sciences and Beijing Tongren Hospital's invention realizes ophthalmology HESS screen and automatically measures,
The method photographic head picked-up facula position input microcomputer, accurately prints measurement knot with spatial image geometry distortion core normal operation method
Really.The method structure is complicated, and technology path falls behind, and implementation process need nonetheless remain for manual intervention.
(3) the automatic HESS screen detection of the Thompson design of London City University optometry and visual science, it is constituted
Being to utilize HESS screen principle to combine computer operation, detection screen is computer display, and detecting distance is 25cm, and it is not enough
Being that test screen is little, detecting distance is short, and detection range is not enough, testing result inaccuracy.
(4) the electronics Lancaster red green screen detection of the Ahmed Awadein design of University of Cairo: Cairo, Egypt, the method will be manual
Lancaster screen detection method combines computer language design program and runs on windows platform, and its weak point is operation
Loaded down with trivial details, the detection time is longer, and head lacks fixing, and testing result exists deviation.
In March, (5) 2013, our Guo technical staff protects to rise and delivers thesis " ophthalmoplegia diplopia detection equipment and examining
Disconnected decision support research " disclose the achievement that relevant part research contents obtains in early days with us, we find in clinic,
This achievement there is also many defects, still has the space of a lot of lifting.Therefore we are in the achievement of early stage, have carried out again nearly two
The research in year.
(6) existing HessShi screen testing result interpretation method is that detection gained track each point line is formed recording geometry；Will note
Record graphics area compares with 9 field word graphics areas on former HessShi screen.There is ophthalmoplegia in the area explanation that diminishes, strong eye
Figure deformation is big.Associate although the shape of recording geometry exists certain with paralysis muscle effect, but recording geometry the most intuitively reflects outside eye
The operative condition of flesh, can not reflect direction and degree that video separates when carrying out Area comparison, gives and checks and interpretation detection knot
Fruit causes puzzlement.
Summary of the invention
The present invention is to solve existing Binocular vison problem as existing for separation detection technique, it is proposed that a kind of Binocular vison picture separates inspection
Survey device and method.
A kind of Binocular vison includes computer, projector, screen, screen slideway, trace ball and testboard as separation detecting device,
The image signal output end of described computer is connected with the picture signal input of projector, and projector, to screen projects images, is surveyed
Test stand is fixed on the dead ahead of screen, and described screen changes the distance between screen and testboard, testboard by screen slideway
On be fixed with head fixing device, for immobilized patients head, the trajectory signal outfan of trace ball and the trajectory signal of computer
Input connects, and described trace ball generates tracing point on screen.
Detection method includes:
Patient information input step for patient information input；
For controlling screen position adjustments step of movement on screen slideway；
For selecting the detection template of detection template to select step；
For the detection template aligning step detection template selected being corrected according to error produced by human eye vision；
After having corrected when detection template, send the detection starting to detect instruction to testing staff and start to remind step；
Coordinate measurement step for detection the produced trajectory coordinates of trace ball in real time；
For judging whether patient clicks on the click detecting step of trace ball, it is, then carries out the detection of subsequent point, no, then remind
Patient clicks on again；
The detection detected for judging whether all test points all to complete completes step, is, then perform detection image and numerical generation
Step, no, then remind patient that the test point not detected is detected；
Detection image and the detection image of coordinate values and numerical generation step is generated for the position according to the produced track of trace ball
Suddenly；
For the detection data saving step that detection image and coordinate values are stored；
For generating the case report generation step of case report, described case report content bag according to detection image and coordinate values
Include patient age, morbidity natural law, treatment number of times, whether there is oculomotor paralysis, whether there is socket of the eye wall fracture, the cause of disease and
Big diplopia angle；
After having detected, the detection sending detection of end instruction to testing staff terminates to remind step；
For according to patient age, morbidity natural law, treatment number of times, whether there is oculomotor paralysis and whether there is socket of the eye wall bone
Folding obtain recovery from illness probability, and according to this recovery from illness probability obtain review time review time computing module；
For the database of patient information storing step that patient information and case report are stored；
For database information being carried out systematic searching and the result retrieval step of output storage data.
Beneficial effect:
1, Binocular vison is realized as the automatization of separation detection
The present invention devises computer auto-detection system on the basis of various traditional detection methods, uses human-computer interaction pattern,
Detection sighting target is shown in projection screen through grenade instrumentation by computer, and patient is complete according to the subjective feeling Self-operating trace ball of oneself
Become the actual position of whole detection process, patient's objective record finding real image and the virtual image, compared to original doctor according to patient's
Describing and estimate roughly and record the detection mode of testing result, meanwhile, the present invention uses computer to automatically generate to include that video separates
The testing results such as collection of illustrative plates, separation angle, in interior case report, set up the state of an illness archives of patient, in the simplicity of operation automatically
Achieve qualitative leap.
2, Binocular vison is realized as the precise quantification of separation detection
The present invention uses computer to calculate testing result in real time, automatically stores the detection data of patient, compared to original doctor master
See interpretation, the detection mode of hand-kept, breach original detection repeatable poor, cannot objective quantification evaluation be in a bad way journey
The predicament of degree.The present invention according to case report, can set up the state of an illness archives of patient automatically, and record patient's video separates continuously
Change of illness state, has filled up original detection and cannot realize the blank of data storage and efficacy evaluation, the objectivity of retrieval result has realized
Qualitative leap.
3, realize detecting distance and detection angles the most arbitrarily regulates
The present invention is automatically adjusted detecting distance according to the conditions of patients order of severity, has manufactured and designed suspension annotating display device, bag
Include pipe-hanging hook and moving guide rail.Moving guide rail lateral register ensure that screen 4 movement thereon is horizontal direction, computer
By remote manipulation automatic moving to specifying detecting distance, use computer automatically according to selected detecting distance regulation test point
Sighting target position, is allowed to meet the requirement of different detecting distance.The present invention solves original relatively-stationary problem of method detecting distance,
Achieve detecting distance to be automatically adjusted according to conditions of patients difference, instead of original clumsy method manually removing motion detection device,
Achieve the intellectually and automatically of detection.
4, directly perceivedization of testing result, interpretation method easy are realized
Video separation detection is diagnosis ophthalmoplegia and the important means of evaluation curative effect, and owing to video separation situation is complicated, needs are many
Planting detection method and meet different detection demands, every kind of detection method has its feature and limitation, it is difficult to meet controlling of development
Treatment technology.The present invention combines red green screen interpretation method on the basis of HESS detects, and proposes a kind of new being easier to and judges the state of an illness
Method, enables a physician to simplicity, carries out interpretation intuitively, reflect that video detaching direction separates situation with the video of degree simultaneously, for
Ophthalmoplegia patient's recovery situation and therapeutic effect judge to provide help.
Accompanying drawing explanation
Fig. 1 is that a kind of Binocular vison described in detailed description of the invention one is as the structural representation of separation detecting device；
Fig. 2 is the schematic diagram of detection template；
Fig. 3 is detection image display schematic diagram；
Fig. 4 is that coordinate values shows schematic diagram.
Detailed description of the invention
Detailed description of the invention one, combine Fig. 1 this detailed description of the invention is described, a kind of Binocular vison picture described in this detailed description of the invention
Separation detecting device includes computer 1, projector 2, screen 4, screen slideway 3, trace ball 6 and monitor station 5, described meter
The image signal output end of calculation machine 1 is connected with the picture signal input of projector 2, projector 2 to screen 4 projects images,
Monitor station 5 is fixed on the dead ahead of screen 4, and described screen 4 is changed between screen 4 and monitor station 5 by screen slideway 3
Distance, monitor station 5 is fixed with head fixing device 7, for immobilized patients head, the trajectory signal output of trace ball 6
End is connected with the trajectory signal input of computer 1, and described trace ball 6 generates tracing point on the screen 4.
The present invention uses ophthalmology special optometry jaw torr to be fixed on monitor station 5, and this device plays fixing and adjusts height of sighting line
Effect, for increasing stability and comfort, jaw torr both sides add resilient material and fit for back of head, it is ensured that during detection, head is solid
Surely the error caused because of head rotation during avoiding detection, improves detection precision.Additionally, ophthalmology special optometry jaw torr is come
Source is extensive, relative low price.150 cun of screens 4 are capable of record and suffer from the scope required for furious figure divergent image.Track
Suspension screen 4 transporter, needs according to detection, automatically adjusts the detecting distance between detection screen 4 and patient, meets and face
Bed checks the detection demand to the different state of an illness.Detection detects screen 4 after terminating can be retracted to ceiling top automatically, compared to existing
There is method to take up an area little, save space, avoid bringing detection error because patient moves debugging distance simultaneously.
Detailed description of the invention two, this detailed description of the invention fill as separation detection with a kind of Binocular vison described in detailed description of the invention one
The difference put is, described computer 1 includes that the detection module realized by software, described detection module include:
Patient information input block for patient information input；
For controlling screen 4 position adjustment block of movement on screen slideway 3；
For selecting the detection template of detection template to select module；
For the detection template correction module detection template selected being corrected according to error produced by human eye vision；
After having corrected when detection template, send the detection starting to detect instruction to testing staff and start prompting module；
Coordinate measurement module for detection the produced trajectory coordinates of trace ball 6 in real time；
For judging whether patient clicks on the click detection module of trace ball 6, it is, then carries out the detection of subsequent point, no, then carry
Awake patient clicks on again；
The detection detected for judging whether all test points all to complete completes module, is, then perform detection image and numerical generation
Module, no, then remind patient that the test point not detected is detected；
Detection image and the detection image of coordinate values and numerical generation mould is generated for the position according to the produced track of trace ball 6
Block；
For the detection data storage module that detection image and coordinate values are stored；
For generating the case report generation module of case report, described case report content bag according to detection image and coordinate values
Include patient age, morbidity natural law, treatment number of times, whether there is oculomotor paralysis, whether there is socket of the eye wall fracture, the cause of disease and
Big diplopia angle；
After having detected, the detection sending detection of end instruction to testing staff terminates prompting module；
For according to patient age, morbidity natural law, treatment number of times, whether there is oculomotor paralysis and whether there is socket of the eye wall bone
Folding obtain recovery from illness probability, and according to this recovery from illness probability obtain review time review time computing module；
For the database of patient information memory module that patient information and case report are stored；
For database information being carried out systematic searching and the result retrieval module of output storage data.
Detailed description of the invention three, this detailed description of the invention fill as separation detection with a kind of Binocular vison described in detailed description of the invention two
The difference put is, the process of described selection detection template is:
Setting eyeball horizontal direction corner as α, eyeball vertical direction corner is β, and chooses α and the β line segment equal to ± 20 °
Intersection point is as detection template；
According to primary position of eye, secondary position of eye and tertiary position of eye, choose 9 standard points, set detecting distance and detection angles,
Obtain 9 standard points relative position on the screen 4.
Detailed description of the invention four, this detailed description of the invention fill as separation detection with a kind of Binocular vison described in detailed description of the invention two
The difference put is, according to the process that the detection template selected is corrected by error produced by human eye vision is:
To different age group, different sexes, different vision and ignore as separating and normal population without eye part disease detects,
The data obtained is carried out between eyes, between each point, level with vertical between dependency check analysis compare with group difference, it is thus achieved that
Clinical reference value scope, and range above is carried out all ages and classes, sex, vision horizontal correlation carry out spearman phase relation
Number checking, thus detection template is corrected.
Illustrate:
Under 1 meter of 20 ° of template, normal population detection acquired results is as follows with standard point grid deviation value:
The grid deviation value of left eye 1-9 point respectively (-0.00052,0.037351), (0.215075,0.278672), (-0.01523,
0.014477)、(0.064119,0.014795)、(0.022983,0.008388)、(-0.05631,0.039504)、(-0.00267,
0.005027)、(-0.13427,-0.10285)、(-0.02944,0.01736)
The grid deviation value of right eye 1-9 point respectively (-0.34925,0.290708), (-0.25949,0.196715), (-0.09884,
0.367015)、(-0.32011,-0.06173)、(-0.18088,0.276975)、(0.067938,0.352422)、(-0.02618,
0.009699)、(-0.05676,0.098153)、(0.084233,0.075777)。
Grid deviation this detection template of value correction according to gained normal person, show that the detection template coordinate figure of standard is as follows:
Left eye 1-9 point revise after coordinate be respectively as follows: (-20.00052,20.037351), (0.215075,20.278672),
(19.98477,20.014477)、(-19.935881,0.014795)、(0.022983,0.008388)、(19.94369,0.039504)、
(-20.00267,19.994973)、(-0.13427,-20.10285)、(19.7056,-19.98264)。
Right eye 1-9 point revise after coordinate be respectively as follows: (-20.34925,20.290708), (-0.25949,20.196715),
(19.90116,20.367015)、(-20.32011,-0.06173)、(-0.18088,0.276975)、(20.067938,0.352422)、
(-20.02618,19.990301)、(-0.05676,-19.901847)、(20.084233,-19.924223)。
Detailed description of the invention five, this detailed description of the invention fill as separation detection with a kind of Binocular vison described in detailed description of the invention two
The difference put is, the process generating detection image and coordinate values according to the position of the produced track of trace ball 6 is:
Actual coordinate value based on a standard point is (α, β), and the tracing point of standard point C record is (α ', β '), then:
Δ α=α '-α；Δ β=β '-β, Δ α are the video separation angle skew in standard point horizontal direction, i.e. α direction video
Separate angle；Δ β is the video separation angle skew in standard point vertical direction, i.e. β direction video separation angle, each
Export α direction video separation angle at standard point and separate angle acquisition coordinate values, and output trajectory point simultaneously with β direction video
With standard point, between standard point, line forms sphere of movements for the elephants lattice, and tracing point corresponding for standard point carries out line acquisition detection
Collection of illustrative plates.
Detailed description of the invention six, this detailed description of the invention fill as separation detection with a kind of Binocular vison described in detailed description of the invention two
Whether the difference put is, according to patient age, morbidity natural law, treatment number of times, whether there is oculomotor paralysis and exist
Socket of the eye wall fracture obtains recovery from illness probability:
Wherein, y is regressand value, and:
Y=-0.549+0.238x1-1.013x2+0.616x3-0.547x4-1.091x5；
Wherein:
X1Represent patient age, when patient age was less than 18 years old, be entered as 1；When patient age is 19 years old-40 years old,
It is entered as 2；When patient age is 41 years old-60 years old, it is entered as 3；When patient age was more than 60 years old, it is entered as 4；
X2Represent the course of disease, when morbidity's natural law was less than 30 days, be entered as 1；When morbidity's natural law is 31 days-90 days
Time, it is entered as 2；When morbidity's natural law is 91 days-180 days, it is entered as 3,；When morbidity's natural law was more than 180 days,
It is entered as 4；
X3Represent treatment number of times, when patient treatment number of times is less than 15 times, be entered as 1；When patient treatment number of times is 16 times-30
Time secondary, it is entered as 2；When patient treatment number of times is 31 times-45 times, it is entered as 3；When patient treatment number of times is more than 45 times,
It is entered as 4；
X4Represent oculomotor paralysis coefficient, when patient exists oculomotor paralysis, be entered as 1；When patient does not exist dynamic eye
During neural paralysis, it is entered as 2；
X5Represent socket of the eye wall fracture coefficient；When patient exists socket of the eye wall fracture, it is entered as 1；When there is not socket of the eye wall fracture in patient,
It is entered as 2；
Obtaining review time according to recovery from illness probability is:
When recovery from illness Probability p≤25%, review time is one month；When recovery from illness probability 26%, < during p≤50%, review time is
20 days, when recovery from illness probability 51%<P 75% or less, the review time for 10 days, when the probability p> recovery;When 75%, review time
It it is 5 days.
The use process of this device is: tester logs in detection program, the input name of patient, sex, the age, the detection date,
Individual's essential information such as medical record number, contact method.Input detection angles and distance, detection screen 4 slide adjust corresponding detection away from
From.Before patient is seated at monitor station 5 in darkroom, wearing red (left eye) blue (right eye) glasses, lower jaw is placed in jaw torr, adjusts
Jaw torr height ensures that patient's sight line is contour with screen 4 central point, and the stretch woven fabrics of jaw torr both sides is fixing in the laminating of patient's back of head.
Entering detection pattern, patient stirs trace ball 6 under physician guidance, screen 4 occurs the blueness of corresponding sports track
Aperture, mobile blue light snare, on the upper left red solid circles sighting target of screen 4, clicks on trace ball 6
Upper " confirmation " key, upper left side redness sighting target disappears, and red sighting target occurs in surface, moves blue light equally
Snare confirms on red sighting target, hereafter upper right, level to the left, just before, level to the right, lower-left, just under,
Lower right totally 9 test point track apertures in doing so are exchanged with circular sighting target color, and by upper
State rule operation.After 9 detections terminate, red Cyanopia mark color exchanged automatically by software system, repeats above-mentioned 9 points
After detection, detection of end.Checking testing result, click on " preservation ", detection data and image store with corresponding format file
To person document, click the exportable papery testing result of printing, close detection program and complete detection.
A kind of Binocular vison described in detailed description of the invention seven, this detailed description of the invention as the detection method of separation detecting device be by
Following device realizes, and described device includes computer 1, projector 2, screen 4, screen slideway 3, trace ball 6 and detection
Platform 5, the image signal output end of described computer 1 is connected with the picture signal input of projector 2, and projector 2 is to screen 4
Projects images, monitor station 5 is fixed on the dead ahead of screen 4, and described screen 4 changes screen 4 and inspection by screen slideway 3
Distance between scaffold tower 5, monitor station 5 is fixed with head fixing device 7, for immobilized patients head, the rail of trace ball 6
Mark signal output part is connected with the trajectory signal input of computer 1, and described trace ball 6 generates tracing point on the screen 4；
Described detection method is to be realized by the detection module in computer 1, and described detection method includes:
Patient information input step for patient information input；
For controlling screen 4 position adjustments step of movement on screen slideway 3；
For selecting the detection template of detection template to select step；
For the detection template aligning step detection template selected being corrected according to error produced by human eye vision；
After having corrected when detection template, send the detection starting to detect instruction to testing staff and start to remind step；
Coordinate measurement step for detection the produced trajectory coordinates of trace ball 6 in real time；
For judging whether patient clicks on the click detecting step of trace ball 6, it is, then carries out the detection of subsequent point, no, then carry
Awake patient clicks on again；
The detection detected for judging whether all test points all to complete completes step, is, then perform detection image and numerical generation
Step, no, then remind patient that the test point not detected is detected；
Detection image and the detection image of coordinate values and numerical generation step is generated for the position according to the produced track of trace ball 6
Suddenly；
For the detection data saving step that detection image and coordinate values are stored；
For generating the case report generation step of case report, described case report content bag according to detection image and coordinate values
Include patient age, morbidity natural law, treatment number of times, whether there is oculomotor paralysis, whether there is socket of the eye wall fracture, the cause of disease and
Big diplopia angle；
After having detected, the detection sending detection of end instruction to testing staff terminates to remind step；
For according to patient age, morbidity natural law, treatment number of times, whether there is oculomotor paralysis and whether there is socket of the eye wall bone
Folding obtain recovery from illness probability, and according to this recovery from illness probability obtain review time review time calculation procedure；
For the database of patient information storing step that patient information and case report are stored；
For database information being carried out systematic searching and the result retrieval step of output storage data.
This detection method is easy and simple to handle, it is easy to grasp, and detection saves time rapidly, it is possible to achieve is set by detection pattern, is detected program
Operation, testing result image information collecting, collection of illustrative plates generate, result quantifies to automatization and the one of analyzing the omnidistance detections such as interpretation
Change, can truly reflect the position relationship between real image and the virtual image in the separation of patient's video.Use the detection of this detecting instrument repeatable high,
Patient compliance is good, shortens the detection time, improves the accuracy of testing result, it is achieved that the automatic quantization of testing result,
Objective contrast chart is changing into as possible；Achieve collection automatically, storage and the systematic searching of detection data, for holding from now on
Continuous observation example conditions of patients or the situation between same disease difference patient that compares provide may；Achieve data base sets up rush automatically
The management of case history archive and the evaluation of clinical efficacy are entered.
The present invention selects detecting distance 1 meter, 20 ° of standard points of Rotation of eyeball to detect.Ensure to regard behind detected person's fixing head position
Line aligns with screen 4 central point, wears red blue glasses, and each test point occurs successively, and detected person will by motion track ball 6
Blue color circle line cursor is enclosed within outside red solid standard point, clicks on trace ball 6 acknowledgement key, after the detection of 9 standard points terminates,
Tracing point cursor and standard point color swap repeat same steps and complete detection.Software records and stores detection collection of illustrative plates and 9 automatically
The level of standard point and vertical angle deviant, and generate data base.The present invention can be with numeral and two kinds of form output inspections of figure
Survey result.
Detailed description of the invention eight, this detailed description of the invention and a kind of Binocular vison described in detailed description of the invention seven are as separation detection side
The difference of method is, the process of described selection detection template is:
Setting eyeball horizontal direction corner as α, eyeball vertical direction corner is β, and chooses α and the β line segment equal to ± 20 °
Intersection point is as detection template；
According to primary position of eye, secondary position of eye and tertiary position of eye, choose 9 standard points, set detecting distance and detection angles,
Obtain 9 standard points relative position on the screen 4.
Detailed description of the invention nine, this detailed description of the invention and a kind of Binocular vison described in detailed description of the invention seven are as separation detection side
The difference of method is, the described process that is corrected the detection template selected according to error produced by human eye vision is:
To different age group, different sexes, different vision and ignore as separating and normal population without eye part disease detects,
The data obtained is carried out between eyes, between each point, level with vertical between dependency check analysis compare with group difference, it is thus achieved that
Clinical reference value scope, and range above is carried out all ages and classes, sex, vision horizontal correlation carry out spearman phase relation
Number checking, thus detection template is corrected；
Detailed description of the invention ten, this detailed description of the invention and a kind of Binocular vison described in detailed description of the invention seven are as separation detection side
The difference of method is, the process generating detection image and coordinate values according to the position of the produced track of trace ball 6 is:
Actual coordinate value based on a standard point is (α, β), and the tracing point of standard point C record is (α ', β '), then:
Δ α=α '-α；Δ β=β '-β, Δ α are the video separation angle skew in standard point horizontal direction, i.e. α direction video
Separate angle；Δ β is the video separation angle skew in standard point vertical direction, i.e. β direction video separation angle.Each
Export α direction video separation angle at standard point and separate the coordinate values of angle with β direction video, and simultaneously output trajectory point with
Standard point collection of illustrative plates, between standard point, line forms sphere of movements for the elephants lattice, tracing point corresponding for standard point carries out line and obtains inspection
Altimetric image.
Detailed description of the invention 11, this detailed description of the invention separate inspection with a kind of Binocular vison picture described in detailed description of the invention seven
The difference of survey method is, according to patient age, morbidity natural law, treatment number of times, whether there is oculomotor paralysis and whether
There is socket of the eye wall fracture acquisition recovery from illness probability is:
Wherein, y is regressand value, and:
Y=-0.549+0.238x1-1.013x2+0.616x3-0.547x4-1.091x5；
Wherein:
X1Represent patient age, when patient age was less than 18 years old, be entered as 1；When patient age is 19 years old-40 years old,
It is entered as 2；When patient age is 41 years old-60 years old, it is entered as 3；When patient age was more than 60 years old, it is entered as 4；
X2Represent the course of disease, when morbidity's natural law was less than 30 days, be entered as 1；When morbidity's natural law is 31 days-90 days
Time, it is entered as 2；When morbidity's natural law is 91 days-180 days, it is entered as 3,；When morbidity's natural law was more than 180 days,
It is entered as 4；
X3Represent treatment number of times, when patient treatment number of times is less than 15 times, be entered as 1；When patient treatment number of times is 16 times-30
Time secondary, it is entered as 2；When patient treatment number of times is 31 times-45 times, it is entered as 3；When patient treatment number of times is more than 45 times,
It is entered as 4；
X4Represent oculomotor paralysis coefficient, when patient exists oculomotor paralysis, be entered as 1；When patient does not exist dynamic eye
During neural paralysis, it is entered as 2；
X5Represent socket of the eye wall fracture coefficient；When patient exists socket of the eye wall fracture, it is entered as 1；When there is not socket of the eye wall fracture in patient,
It is entered as 2；
Obtaining review time according to recovery from illness probability is:
When recovery from illness Probability p≤25%, review time is one month；When recovery from illness probability 26%, < during p≤50%, review time is
20 days, when recovery from illness probability 51%<P 75% or less, the review time for 10 days, when the probability p> recovery;When 75%, review time
It it is 5 days.
Detailed description of the invention 12, combine Fig. 3 this detailed description of the invention is described, present embodiment and detailed description of the invention 11
Described a kind of Binocular vison is as the difference of method for separating and detecting, and Fig. 3 show by separating as detection gained image, extracts
The video separating spectrum amplified, during the detection of this collection of illustrative plates, wearing the eyes with standard point solid colour eyeglass is effective information.Analyze
Amplifying the variation tendency of collection of illustrative plates each point and standard point line, extracting and separating the direction being gradually increased is effective information.Reaction video divides
From direction, determine paralysis eye and paralysis extraocular muscles thereof.
Check that separation, as detection the data obtained, extracts the data set that the video separating spectrum reduced is corresponding, select to separate maximum point
Level and vertical angle deviant as effective information.Determine angle of departure angle value, specify video separation degree.
Video separation detection obtains two width eyes respectively as the collection of illustrative plates of record, the note representated by figure wherein amplified during fixating eye
It is defined as suffering from eye depending on eye.Amplifying in figure, between each standard point with tracing point, length representative patient's video of line separates as separating
Trend, separates the force direction that the direction being gradually increased is the extraocular muscles of paralysis, according to extraocular muscles active force location paralysis
Extraocular muscles.Video detaching direction shown by this collection of illustrative plates is consistent with extraocular muscles action direction, and gained collection of illustrative plates is directly perceived, it is easy to interpretation.
Testing result reaction patient is at the video separate condition of 9 standard points.In output pattern, picture is ignored in the prompting of red Bluepoint overlap
Separating or video separates inconspicuous, if red Bluepoint separates explanation patient and there is video separation, and red Bluepoint distance is the most remote, and explanation regards
As separation degree is the most serious, the direction that red Cyanopia cursor position relation table photopic vision picture separates.
Each standard point detection data with the angle that vertically and horizontally separates to represent video separation degree.On test point, data are
When 0, explanation does not has video to separate in this position, and numerical value the biggest explanation video separates the most serious.Wherein sign represents deviation side
To.
The interpretation method of the present invention, when suffering from eye and wearing with fixed test point solid colour, gained video separate picture can be the most anti-
Answer video detaching direction, it is easy to paralysis eye muscle location differentiates, maximum video separation angle can quantify the video separation journey of patient
Degree, the video separation situation of change of reaction patient.Redefine the proposition of review time formula and the correction of detection template, for bright
Make a definite diagnosis disconnected judging prognosis to provide safeguard.
This detection and result interpretation method can be applicable to clinical with in research work, it is achieved that objective, accurate, quantify, facilitate,
Quickly detection and sentence read result, decrease the interference of artifact, improve the reliability of detection efficiency and testing result, real
Now detect repeatability, it is ensured that the trackability of detection work.
Claims (10)
1. a Binocular vison is as separation detecting device, it is characterised in that it include computer (1), projector (2), screen (4),
Screen slideway (3), trace ball (6) and monitor station (5), the image signal output end of described computer (1) and projector (2)
Picture signal input connect, projector (2) is fixed on screen (4) to screen (4) projects images, monitor station (5)
Dead ahead, and described screen (4) by screen slideway (3) change screen (4) and monitor station (5) between distance,
Head fixing device (7) it is fixed with, for immobilized patients head, the trajectory signal output of trace ball (6) on monitor station (5)
End is connected with the trajectory signal input of computer (1), and described trace ball (6) generates tracing point on screen (4).
A kind of Binocular vison the most according to claim 1 is as separation detecting device, it is characterised in that described computer (1)
Including the detection module realized by software, described detection module includes:
Patient information input block for patient information input；
For controlling the screen (4) position adjustment block in the upper movement of screen slideway (3)；
For selecting the detection template of detection template to select module；
For the detection template correction module detection template selected being corrected according to error produced by human eye vision；
After having corrected when detection template, send the detection starting to detect instruction to testing staff and start prompting module；
For detecting the coordinate measurement module of trace ball (6) produced trajectory coordinates in real time；
For judging whether patient clicks on the click detection module of trace ball (6), it is, then carries out the detection of subsequent point, no, then
Patient is reminded again to click on；
The detection detected for judging whether all test points all to complete completes module, is, then perform detection image and numerical generation
Module, no, then remind patient that the test point not detected is detected；
Detection image and the detection image of coordinate values and numerical generation is generated for the position according to trace ball (6) produced track
Module；
For the detection data storage module that detection image and coordinate values are stored；
For generating the case report generation module of case report, described case report content bag according to detection image and coordinate values
Include patient age, morbidity natural law, treatment number of times, whether there is oculomotor paralysis, whether there is socket of the eye wall fracture, the cause of disease and
Big diplopia angle；
After having detected, the detection sending detection of end instruction to testing staff terminates prompting module；
For according to patient age, morbidity natural law, treatment number of times, whether there is oculomotor paralysis and whether there is socket of the eye wall bone
Folding obtain recovery from illness probability, and according to this recovery from illness probability obtain review time review time computing module；
For the database of patient information memory module that patient information and case report are stored；
For database information being carried out systematic searching and the result retrieval module of output storage data.
A kind of Binocular vison the most according to claim 2 is as separation detecting device, it is characterised in that described selection detection template
Process be:
Setting eyeball horizontal direction corner as α, eyeball vertical direction corner is β, and chooses α and the β line segment equal to ± 20 °
Intersection point is as detection template；
According to primary position of eye, secondary position of eye and tertiary position of eye, choose 9 standard points, set detecting distance and detection angles,
Obtain 9 standard points relative position on screen (4).
A kind of Binocular vison the most according to claim 2 is as separation detecting device, it is characterised in that produced according to human eye vision
The process that the detection template selected is corrected by raw error is:
Different age group, different sexes, different vision and the normal population without diplopia with without eye part disease are detected, to institute
Data carry out between eyes, between each point, level with vertical between dependency check analysis compare with group difference, it is thus achieved that clinic
Reference range, and range above is carried out all ages and classes, sex, vision horizontal correlation carry out spearman correlation coefficient and test
Card, thus detection template is corrected.
A kind of Binocular vison the most according to claim 2 is as separation detecting device, it is characterised in that according to trace ball (6)
The position of produced track generates the process of detection image and coordinate values:
Actual coordinate value based on a standard point is (α, β), and the tracing point of standard point C record is (α ', β '), then:
Δ α=α '-α；Δ β=β '-β, Δ α are the video separation angle skew in standard point horizontal direction, i.e. α direction diplopia
Angle；Δ β is the video separation angle skew in standard point vertical direction, i.e. β direction diplopia angle, at each standard point
Output α direction diplopia angle and β direction diplopia angle obtain coordinate values, and output trajectory point and standard point, standard point simultaneously
Between line form sphere of movements for the elephants lattice, and standard point and corresponding tracing point carried out line obtain detection image.
A kind of Binocular vison the most according to claim 2 is as separation detecting device, it is characterised in that according to patient age, send out
Sick natural law, treatment number of times, whether there is oculomotor paralysis and whether there is socket of the eye wall fracture and obtain recovery from illness probability and be:
Wherein, y is regressand value, and:
Y=-0.549+0.238x1-1.013x2+0.616x3-0.547x4-1.091x5；
Wherein:
X1Represent patient age, when patient age was less than 18 years old, be entered as 1；When patient age is 19 years old-40 years old,
It is entered as 2；When patient age is 41 years old-60 years old, it is entered as 3；When patient age was more than 60 years old, it is entered as 4；
X2Represent the course of disease, when morbidity's natural law was less than 30 days, be entered as 1；When morbidity's natural law is 31 days-90 days
Time, it is entered as 2；When morbidity's natural law is 91 days-180 days, it is entered as 3,；When morbidity's natural law was more than 180 days,
It is entered as 4；
X3Represent treatment number of times, when patient treatment number of times is less than 15 times, be entered as 1；When patient treatment number of times is 16 times-30
Time secondary, it is entered as 2；When patient treatment number of times is 31 times-45 times, it is entered as 3；When patient treatment number of times is more than 45 times,
It is entered as 4；
X4Represent oculomotor paralysis coefficient, when patient exists oculomotor paralysis, be entered as 1；When patient does not exist dynamic eye
During neural paralysis, it is entered as 2；
X5Represent socket of the eye wall fracture coefficient；When patient exists socket of the eye wall fracture, it is entered as 1；When there is not socket of the eye wall fracture in patient,
It is entered as 2；
Obtaining review time according to recovery from illness probability is:
When recovery from illness Probability p≤25%, review time is one month；When recovery from illness probability 26%, < during p≤50%, review time is
20 days, when recovery from illness probability 51%<P 75% or less, the review time for 10 days, when the probability p> recovery;When 75%,review time
It it is 5 days.
7. a Binocular vison is as the detection method of separation detecting device, it is characterised in that it is realized by following device, described
Device includes computer (1), projector (2), screen (4), screen slideway (3), trace ball (6) and monitor station (5),
The image signal output end of described computer (1) is connected with the picture signal input of projector (2), and projector (2) is to screen
Curtain (4) projects images, monitor station (5) is fixed on the dead ahead of screen (4), and described screen (4) is by screen slideway
(3) change the distance between screen (4) and monitor station (5), monitor station (5) be fixed with head fixing device (7),
For immobilized patients head, the trajectory signal outfan of trace ball (6) is connected with the trajectory signal input of computer (1),
Described trace ball (6) generates tracing point on screen (4)；
Described detection method is to be realized by the detection module in computer (1), and described detection method includes:
Patient information input step for patient information input；
For controlling the screen (4) the position adjustments step in the upper movement of screen slideway (3)；
For selecting the detection template of detection template to select step；
For the detection template aligning step detection template selected being corrected according to error produced by human eye vision；
The described process that is corrected the detection template selected according to error produced by human eye vision is:
Different age group, different sexes, different vision and the normal population without diplopia with without eye part disease are detected, to institute
Data carry out between eyes, between each point, level with vertical between dependency check analysis compare with group difference, it is thus achieved that clinic
Reference range, and range above is carried out all ages and classes, sex, vision horizontal correlation carry out spearman correlation coefficient and test
Card, thus detection template is corrected；
After having corrected when detection template, send the detection starting to detect instruction to testing staff and start to remind step；
For detecting the coordinate measurement step of trace ball (6) produced trajectory coordinates in real time；
For judging whether patient clicks on the click detecting step of trace ball (6), it is, then carries out the detection of subsequent point, no, then
Patient is reminded again to click on；
The detection detected for judging whether all test points all to complete completes step, is, then perform detection image and numerical generation
Step, no, then remind patient that the test point not detected is detected；
Detection image and the detection image of coordinate values and numerical generation is generated for the position according to trace ball (6) produced track
Step；
For the detection data saving step that detection image and coordinate values are stored；
For generating the case report generation step of case report, described case report content bag according to detection image and coordinate values
Include patient age, morbidity natural law, treatment number of times, whether there is oculomotor paralysis, whether there is socket of the eye wall fracture, the cause of disease and
Big diplopia angle；
After having detected, the detection sending detection of end instruction to testing staff terminates to remind step；
For according to patient age, morbidity natural law, treatment number of times, whether there is oculomotor paralysis and whether there is socket of the eye wall bone
Folding obtain recovery from illness probability, and according to this recovery from illness probability obtain review time review time calculation procedure；
For the database of patient information storing step that patient information and case report are stored；
For database information being carried out systematic searching and the result retrieval step of output storage data.
A kind of Binocular vison the most according to claim 7 is as method for separating and detecting, it is characterised in that described selection detection template
Process be:
Setting eyeball horizontal direction corner as α, eyeball vertical direction corner is β, and chooses α and the β line segment equal to ± 20 °
Intersection point is as detection template；
According to primary position of eye, secondary position of eye and tertiary position of eye, choose 9 standard points, set detecting distance and detection angles,
Obtain 9 standard points relative position on screen (4).
A kind of Binocular vison the most according to claim 7 is as method for separating and detecting, it is characterised in that according to trace ball (6)
The position of produced track generates the process of detection image and coordinate values:
Actual coordinate value based on a standard point is (α, β), and the tracing point of standard point C record is (α ', β '), then:
Δ α=α '-α；Δ β=β '-β, Δ α are the video separation angle skew in standard point horizontal direction, i.e. α direction diplopia
Angle；Δ β is the video separation angle skew in standard point vertical direction, i.e. β direction diplopia angle, at each standard point
Output α direction diplopia angle and β direction diplopia angle obtain coordinate values, and output trajectory point and standard point, standard point simultaneously
Between line form sphere of movements for the elephants lattice, and standard point and corresponding tracing point carried out line obtain detection image.
A kind of Binocular vison the most according to claim 7 is as method for separating and detecting, it is characterised in that according to patient age,
Morbidity natural law, treatment number of times, whether exist oculomotor paralysis and whether exist socket of the eye wall fracture obtain recovery from illness probability be:
Wherein, y is regressand value, and:
Y=-0.549+0.238x1-1.013x2+0.616x3-0.547x4-1.091x5；
Wherein:
X1Represent patient age, when patient age was less than 18 years old, be entered as 1；When patient age is 19 years old-40 years old,
It is entered as 2；When patient age is 41 years old-60 years old, it is entered as 3；When patient age was more than 60 years old, it is entered as 4；
X2Represent the course of disease, when morbidity's natural law was less than 30 days, be entered as 1；When morbidity's natural law is 31 days-90 days
Time, it is entered as 2；When morbidity's natural law is 91 days-180 days, it is entered as 3,；When morbidity's natural law was more than 180 days,
It is entered as 4；
X3Represent treatment number of times, when patient treatment number of times is less than 15 times, be entered as 1；When patient treatment number of times is 16 times-30
Time secondary, it is entered as 2；When patient treatment number of times is 31 times-45 times, it is entered as 3；When patient treatment number of times is more than 45 times,
It is entered as 4；
X4Represent oculomotor paralysis coefficient, when patient exists oculomotor paralysis, be entered as 1；When patient does not exist dynamic eye
During neural paralysis, it is entered as 2；
X5Represent socket of the eye wall fracture coefficient；When patient exists socket of the eye wall fracture, it is entered as 1；When there is not socket of the eye wall fracture in patient,
It is entered as 2；
Obtaining review time according to recovery from illness probability is:
When recovery from illness Probability p≤25%, review time is one month；When recovery from illness probability 26%, < during p≤50%, review time is
20 days, when recovery from illness probability 51%<P 75% or less, the review time for 10 days, when the probability p> recovery;When 75%, review time
It it is 5 days.
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| TWI740561B (en) * | 2020-07-01 | 2021-09-21 | 廖日以 | Visual inspection and its vision correction method |
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