CN106500577A - A kind of clinac vane grating method for detecting position - Google Patents
A kind of clinac vane grating method for detecting position Download PDFInfo
- Publication number
- CN106500577A CN106500577A CN201610913120.XA CN201610913120A CN106500577A CN 106500577 A CN106500577 A CN 106500577A CN 201610913120 A CN201610913120 A CN 201610913120A CN 106500577 A CN106500577 A CN 106500577A
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- camera
- grating
- vane
- vane grating
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B7/00—Measuring arrangements characterised by the use of electric or magnetic techniques
- G01B7/003—Measuring arrangements characterised by the use of electric or magnetic techniques for measuring position, not involving coordinate determination
Abstract
The invention discloses a kind of clinac vane grating method for detecting position, measure vane grating displacement, first the image binaryzation for obtaining is processed, the pixel number of in image point-of-interest movement is calculated afterwards, the change of unit pixel point and the proportionality coefficient of actual range is multiplied by, the actual displacement of object movement is tried to achieve；The multi-leaf optical grating displacement importing PC ends for the treatment of plan are compared with actual displacement amount and is obtained a result, the present invention is detected to vane grating in place using computer vision technique, system accuracies are high, simultaneously all blades can be detected, and result can be shown with real-time online, while the requirement to hardware is low, system cost is relatively low, repeatable utilization rate is high, simple to operate, easy to use.
Description
Technical field
The present invention relates to clinac technical field, specially a kind of clinac vane grating position
Detection method.
Background technology
Radiotherapy is one of main method of oncotherapy.In Patients During Radiotherapy, vane grating in-placing precision is irradiated to target area
The protection of the accuracy of dosage and normal structure organ is significant.It is a lot of to position detecting method to vane grating at present,
Wherein mainly there are dosage Film Dosimeter, planar detector arrays method, electronic portal imaging device EPID (EPID).But dosage Film Dosimeter
Pendulum position, repeatability, determination of reference point etc. can affect measurement result, and workload is big, and the recycling rate of waterused of film is low.Plane
Its measurement area of detector array method is limited, it is impossible to which once to all of blade, situation is detected in place, and EPID is also measurement
Area is not big enough, and needs supporting electric translation equipment, higher to hardware requirement.And three of the above method all cannot be to per piece page
The situation in place of piece is directly tracked and is analyzed,
In order to overcome above-mentioned deficiency, it is proposed that a kind of clinac vane grating method for detecting position, the system
Using computer vision technique, software processing is carried out by the video to collecting, obtain vane grating actual displacement in video
Amount, is compared with the multi-leaf optical grating displacement for the treatment of plan, so as to realize that the in-placing precision to vane grating is detected.
Content of the invention
It is an object of the invention to provide a kind of clinac vane grating method for detecting position, above-mentioned to solve
The problem proposed in background technology.
For achieving the above object, the present invention provides following technical scheme：A kind of clinac vane grating position
Detection method, comprises the following steps：
The first step：Build Computer Vision Platform, including select video acquisition required for industrial camera, camera lens, light source,
The installation and debugging of the PC used by video and related software are processed, and fixed plate is placed below vane grating, industrial camera is placed in
The center such as vane grating on fixed plate plate；
Second step：Treatment is simulated to patient on accelerator；
3rd step：The sport video that vane grating is gathered using image capture module in software；
4th step：Using software to gained image procossing, vane grating displacement is measured, at the image binaryzation that will first obtain
Reason, after calculate the pixel number of the movement of point-of-interest in image, be multiplied by the change of unit pixel point and the ratio of actual range
Example coefficient, tries to achieve the actual displacement of object movement；
5th step：The multi-leaf optical grating displacement for the treatment of plan is imported PC ends to compare with actual displacement amount；
6th step：Show result.
Preferably, in the first step, according to the needs of building of Computer Vision Platform, camera is selected to need consideration industry
The scan mode of camera, photo-sensitive cell, colored or GTG and signal transmission type；Consider simultaneously and precision is wanted
Ask, visual field size, the speed of detection object.Requirement to camera resolution can be calculated by permissible accuracy：
Precision=the visual field (long or wide) ÷ camera pixels (long or wide)
Then camera pixel (long or the wide)=visual field (long or wide) ÷ precision
Camera lens selects to determine that focal length, first calculating meet the enlargement ratio (M) of demand：
Enlargement ratio (M)=Sensor Sizes/FOV
Substitute into and calculate focal length (f) formula：
Focal length (f)=Sensor Sizes*WD/FOV
Wherein Sensor Sizes are photo-sensitive cell size (sizes of camera internal photo-sensitive cell)；
FOV is field range (camera can get the actual range of object)；
WD is operating distance (distance of camera lens leading edge to body surface).
The focal length for meeting the camera lens reality of demand need to be more than the numerical value.Camera lens catalogue or software inquiry can be passed through also, as long as
Required parameter is inserted, appropriate camera lens just can be quickly found out.The self-programmed software adopted in the present invention, it is possible to achieve video
Obtain, image procossing, numeric ratio compared with and show.In whole hardware design, it is contemplated that different brands model vane grating size is not
Same, meet most vane grating brand and models in selector as far as possible.
Preferably, in the second step, according to the difference of different brands different model vane grating shape size, phase is installed
Should be noted that during machine that camera operating distance, viewing field of camera should cover whole vane grating range of movement, for subsequent software process letter
Single, fluorescent marker is applied to grating blade tip, is irradiated 2 to 5 minutes using ultraviolet lamp, after remove ultraviolet lamp, will
Fixed plate is placed with below vane grating, and camera is fixed in fixed plate, closes radiotherapy room lamp, software connection camera and PC ends,
Video module is gathered by the USB of software in dark conditions and gathers video, fluorescer adopts light accumulation type fluorescent paint.
Preferably, in the 3rd step, unit pixel point needs measured in advance with the proportionality coefficient of actual range, and for not
It is both needed to determine with brand and model vane grating, determination step is as follows：
(1), collection vane grating moves to terminal (center line) position video from initial (0 displacement) position；
(2) pixel number is measured using software, and the actual displacement of vane grating is by checking vane grating handbook, real
Border measurement and system derive three kinds of modes and obtain；
(3), error analysis is taken and repeatedly measures the method that averages.
Compared with prior art, the invention has the beneficial effects as follows：The present invention is using computer vision technique to vane grating
Detect in place, system accuracies are high, simultaneously all blades can be detected, and result can be shown with real-time online, with
When requirement to hardware low, system cost is relatively low, and it is high to repeat utilization rate, simple to operate, easy to use.
Description of the drawings
Fig. 1 is method of the present invention flow chart；
Fig. 2 is the video acquisition flow chart of the present invention；
Fig. 3 is the ratio measuring software flowchart of the present invention；
Fig. 4 is the displacement measurement software flowchart of the present invention.
Specific embodiment
Accompanying drawing in below in conjunction with the embodiment of the present invention, to the embodiment of the present invention in technical scheme carry out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiment.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
The present invention will be further described below in conjunction with the accompanying drawings：
As shown in figure 1, giving clinac vane grating method for detecting position flow chart of the present invention, which includes
Step in detail below：
The first step：Build Computer Vision Platform, including select video acquisition required for industrial camera, camera lens, light source,
The installation and debugging of the PC used by video and related software are processed, and fixed plate is placed below vane grating, industrial camera is placed in
The center such as vane grating on fixed plate plate, using CCD industrial cameras, photo-sensitive cell size is 3 μm -10 μm, and pixel is PAL
768*576 is made as, TSC-system is 640*480, and frame speed is 120 frames, and camera lens visual field is more than 20cm.It is light source to select ultraviolet lamp.
Related software is installed at connection camera and PC, PC end, according to the needs of building of Computer Vision Platform, selects camera to need to consider work
The scan mode of industry camera, photo-sensitive cell, colored or GTG and signal transmission type；Consider simultaneously and precision is wanted
Ask, visual field size, the speed of detection object.Requirement to camera resolution can be calculated by permissible accuracy：
Precision=the visual field (long or wide) ÷ camera pixels (long or wide)
Then camera pixel (long or the wide)=visual field (long or wide) ÷ precision
Camera lens selects to determine that focal length, first calculating meet the enlargement ratio (M) of demand：
Enlargement ratio (M)=Sensor Sizes/FOV
Substitute into and calculate focal length (f) formula：
Focal length (f)=Sensor Sizes*WD/FOV
Wherein Sensor Sizes are photo-sensitive cell size (sizes of camera internal photo-sensitive cell)；
FOV is field range (camera can get the actual range of object)；
WD is operating distance (distance of camera lens leading edge to body surface).
The focal length for meeting the camera lens reality of demand need to be more than the numerical value.Camera lens catalogue or software inquiry can be passed through also, as long as
Required parameter is inserted, appropriate camera lens just can be quickly found out.The self-programmed software adopted in the present invention, it is possible to achieve video
Obtain, image procossing, numeric ratio compared with and show.In whole hardware design, it is contemplated that different brands model vane grating size is not
Same, meet most vane grating brand and models in selector as far as possible.
Second step：Treatment is simulated to patient on accelerator.
3rd step：IMAQ, as shown in Fig. 2 fluorescent marker is applied to grating blade tip first, glimmering for reaching
The bright enough purpose of light, can multiple uniform application.Fluorescer is irradiated 2 to 5 minutes using ultraviolet lamp so as to reach most bright shape
State, fixed plate is positioned over below vane grating, and camera is fixed in fixed plate, with vane grating in wait center, pass
Radiotherapy room lamp is closed, fluorescent effect is highlighted in dark conditions.PC ends software connection camera, using video acquisition module in software
Video is obtained, image is gathered.
In this step, according to different brands model vane grating, appropriate adjustment fixed plate placement location, adjustment camera work
Distance, viewing field of camera should cover whole vane grating range of movement.
4th step：Using software to gained image procossing, vane grating displacement is measured.Step is as follows：
(1) ratio measuring, as shown in figure 3, the video acquisition module in using software obtains image, by gained image two-value
Change, gray value 128 is selected as the threshold value of binary image；Vane grating original position image is obtained, and mould is processed using barycenter
Block obtains original position center-of-mass coordinate, obtains image when vane grating moves to midline position, is obtained using barycenter processing module
Midline position center-of-mass coordinate, calculates number of pixels according to two coordinates；Vane grating is inquired about from starting by vane grating handbook
Position moves to standard displacement during midline position, while vane grating displacement is surveyed, to check whether in place；With public affairs
Formula, standard actual displacement is than number of pixels moral proportionality coefficient.
(2) vane grating displacement measurement, as shown in figure 4, obtain video using video acquisition module in software；Select gray scale
Threshold value of the value 128 as binary image；Obtain vane grating moving displacement image；Obtained in image using barycenter processing module
Center-of-mass coordinate；The initial center-of-mass coordinate of comparison, calculates number of pixels, is multiplied by proportionality coefficient and obtains actual displacement.
In this step, the measure of proportionality coefficient removes error using repeatedly measuring the method averaged.Many for difference
Page grating is both needed to the proportionality coefficient of analytical unit pixel and actual range.
5th step：The multi-leaf optical grating displacement for the treatment of plan is imported PC ends to compare with actual displacement amount；
6th step：Show result, obtain final vane grating result in place.
Although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
Understanding can carry out multiple changes, modification, replacement to these embodiments without departing from the principles and spirit of the present invention
And modification, the scope of the present invention be defined by the appended.
Claims (4)
1. a kind of clinac vane grating method for detecting position, comprises the following steps：
The first step：Computer Vision Platform is built, including selecting the industrial camera required for video acquisition, camera lens, light source to process
PC used by video and the installation and debugging of related software, below vane grating place fixed plate, industrial camera are placed in fixation
The center such as vane grating on plate plate；
Second step：Treatment is simulated to patient on accelerator；
3rd step：The sport video that vane grating is gathered using image capture module in software；
4th step：Using software to gained image procossing, vane grating displacement is measured, first the image binaryzation for obtaining is processed,
Calculate the pixel number of point-of-interest movement in image afterwards, be multiplied by the change of unit pixel point and the ratio system of actual range
Number, tries to achieve the actual displacement of object movement；
5th step：The multi-leaf optical grating displacement for the treatment of plan is imported PC ends to compare with actual displacement amount；
6th step：Show result.
2. a kind of clinac vane grating method for detecting position according to claim 1, it is characterised in that：Institute
State in the first step, according to the needs of building of Computer Vision Platform, select camera to need the scan mode for considering industrial camera, sense
Optical element, colored or GTG and signal transmission type；Consider the requirement to precision, visual field size, detectable substance simultaneously
The speed of body.Requirement to camera resolution can be calculated by permissible accuracy：
Precision=the visual field (long or wide) ÷ camera pixels (long or wide)
Then camera pixel (long or the wide)=visual field (long or wide) ÷ precision
Camera lens selects to determine that focal length, first calculating meet the enlargement ratio (M) of demand：
Enlargement ratio (M)=Sensor Sizes/FOV
Substitute into and calculate focal length (f) formula：
Focal length (f)=Sensor Sizes*WD/FOV
Wherein Sensor Sizes are photo-sensitive cell size (sizes of camera internal photo-sensitive cell)；
FOV is field range (camera can get the actual range of object)；
WD is operating distance (distance of camera lens leading edge to body surface).
The focal length for meeting the camera lens reality of demand need to be more than the numerical value.Camera lens catalogue or software inquiry can be passed through also, as long as by institute
The parameter of needs is inserted, and just can be quickly found out appropriate camera lens.The self-programmed software adopted in the present invention, it is possible to achieve video is obtained
Take, image procossing, numeric ratio compared with and show.In whole hardware design, it is contemplated that different brands model vane grating size is different,
Meet most vane grating brand and models in selector as far as possible.
3. a kind of clinac vane grating method for detecting position according to claim 1, it is characterised in that：Institute
State in second step, according to the difference of different brands different model vane grating shape size, when camera is installed, should be noted that camera work
Make distance, viewing field of camera should cover whole vane grating range of movement, in order to subsequent software process is simple, fluorescent marker is applied
Smear grating blade tip, using ultraviolet lamp irradiate 2 to 5 minutes, after remove ultraviolet lamp, by fixed plate place with multipage light
Below grid, camera is fixed in fixed plate, is closed radiotherapy room lamp, software connection camera and PC ends, is passed through in dark conditions
The USB collection video module collection videos of software, fluorescer adopt light accumulation type fluorescent paint.
4. a kind of clinac vane grating method for detecting position according to claim 1, it is characterised in that：Institute
State in the 3rd step, unit pixel point needs measured in advance with the proportionality coefficient of actual range, and for different brands model multipage light
Grid are both needed to determine, and determination step is as follows：
(1), collection vane grating moves to terminal (center line) position video from initial (0 displacement) position；
(2) pixel number is measured using software, and the actual displacement of vane grating is surveyed by checking vane grating handbook, reality
Amount and system derive three kinds of modes and obtain；
(3), error analysis is taken and repeatedly measures the method that averages.
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| CN201610913120.XA CN106500577A (en) | 2016-10-20 | 2016-10-20 | A kind of clinac vane grating method for detecting position |
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| CN201610913120.XA CN106500577A (en) | 2016-10-20 | 2016-10-20 | A kind of clinac vane grating method for detecting position |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108653938A (en) * | 2018-07-09 | 2018-10-16 | 山东省肿瘤防治研究院（山东省肿瘤医院） | A kind of portable medical linear accelerator room interstitial comments device and double blind evaluation method |
| CN109589504A (en) * | 2018-11-20 | 2019-04-09 | 华中科技大学同济医学院附属协和医院 | A kind of multi-leaf raster leaf in-placing precision verifying system and its implementation |
| CN111408073A (en) * | 2020-03-24 | 2020-07-14 | 宁波同调医学科技有限公司 | Method and system for calculating dose of radiotherapy ray planar detector |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5166531A (en) * | 1991-08-05 | 1992-11-24 | Varian Associates, Inc. | Leaf-end configuration for multileaf collimator |
| US5818902A (en) * | 1996-03-01 | 1998-10-06 | Elekta Ab | Intensity modulated arc therapy with dynamic multi-leaf collimation |
| CN2669903Y (en) * | 2003-09-15 | 2005-01-12 | 颜廷国 | Double rotating multi-sheet analogue positioning grating for verification |
| CN101510454A (en) * | 2008-02-01 | 2009-08-19 | 伊利克塔股份有限公司 | Fluorescence vision system |
| CN101520895A (en) * | 2009-02-24 | 2009-09-02 | 上海大学 | Method for automatic switching of pixel displacement and actual displacement in scale image |
| CN101970043A (en) * | 2008-03-14 | 2011-02-09 | 反射医疗公司 | Method and apparatus for emission guided radiation therapy |
| CN104147712A (en) * | 2014-08-28 | 2014-11-19 | 山东交通学院 | Vane displacement error detection device of multi-vane collimator |
| CN104783824A (en) * | 2014-01-20 | 2015-07-22 | 上海联影医疗科技有限公司 | Calibration method for X-ray imaging system |
| CN106345072A (en) * | 2016-09-21 | 2017-01-25 | 山东师范大学 | Real-time detecting method and system for multi-leaf collimator blade position of linear accelerator |
-
2016
- 2016-10-20 CN CN201610913120.XA patent/CN106500577A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5166531A (en) * | 1991-08-05 | 1992-11-24 | Varian Associates, Inc. | Leaf-end configuration for multileaf collimator |
| US5818902A (en) * | 1996-03-01 | 1998-10-06 | Elekta Ab | Intensity modulated arc therapy with dynamic multi-leaf collimation |
| CN2669903Y (en) * | 2003-09-15 | 2005-01-12 | 颜廷国 | Double rotating multi-sheet analogue positioning grating for verification |
| CN101510454A (en) * | 2008-02-01 | 2009-08-19 | 伊利克塔股份有限公司 | Fluorescence vision system |
| CN101970043A (en) * | 2008-03-14 | 2011-02-09 | 反射医疗公司 | Method and apparatus for emission guided radiation therapy |
| CN101520895A (en) * | 2009-02-24 | 2009-09-02 | 上海大学 | Method for automatic switching of pixel displacement and actual displacement in scale image |
| CN104783824A (en) * | 2014-01-20 | 2015-07-22 | 上海联影医疗科技有限公司 | Calibration method for X-ray imaging system |
| CN104147712A (en) * | 2014-08-28 | 2014-11-19 | 山东交通学院 | Vane displacement error detection device of multi-vane collimator |
| CN106345072A (en) * | 2016-09-21 | 2017-01-25 | 山东师范大学 | Real-time detecting method and system for multi-leaf collimator blade position of linear accelerator |
Non-Patent Citations (1)
| Title |
|---|
| 张传义: "一种医用直线加速器多叶光栅的位置检测系统的研究", 《中国优秀硕士学位论文全文数据库信息科技Ⅱ辑》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108653938A (en) * | 2018-07-09 | 2018-10-16 | 山东省肿瘤防治研究院（山东省肿瘤医院） | A kind of portable medical linear accelerator room interstitial comments device and double blind evaluation method |
| CN109589504A (en) * | 2018-11-20 | 2019-04-09 | 华中科技大学同济医学院附属协和医院 | A kind of multi-leaf raster leaf in-placing precision verifying system and its implementation |
| CN109589504B (en) * | 2018-11-20 | 2021-02-09 | 华中科技大学同济医学院附属协和医院 | Multi-leaf grating blade in-place precision verification system and implementation method thereof |
| CN111408073A (en) * | 2020-03-24 | 2020-07-14 | 宁波同调医学科技有限公司 | Method and system for calculating dose of radiotherapy ray planar detector |
| CN111408073B (en) * | 2020-03-24 | 2021-12-31 | 宁波同调医学科技有限公司 | Method and system for calculating dose of radiotherapy ray planar detector |
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