CN107550509A - A kind of X-ray machine imaging triggering method based on the detection of contactless breathing pattern - Google Patents
A kind of X-ray machine imaging triggering method based on the detection of contactless breathing pattern Download PDFInfo
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Abstract
The invention discloses a kind of X-ray machine imaging triggering method based on the detection of contactless breathing pattern, including：1st, the sensing device that can carry out contactless breathing pattern detection is installed or integrated on digital X ray machine；2nd, the N two field pictures comprising chest and human face region are obtained, automatically determine the chest area-of-interest of every two field picture respectively；3rd, the gray-scale pixels average of all pixels point in chest area-of-interest is calculated, obtains pixel mean time sequence；4th, denoising is carried out to pixel mean time sequence, peakvalue's checking is carried out to the pixel mean time sequence after denoising, at the time of determining that suction gas flow is most in respiratory movement；5th, according at the time of suction gas flow is most in respiratory movement, chest gassiness the best time is confirmed, and trigger X-ray machine imaging.The present invention can not only improve the image quality of X-ray machine, and provide solution for the intellectuality of X-ray machine, and the physiological status monitoring to person taken picture is also significant.
Description
Technical field
The invention mainly relates to medical domain, it is more particularly to a kind of based on contactless breathing pattern detection X-ray machine into
As triggering method.
Background technology
Digital radiography system (Digital radiography, DR) be computer digital image treatment technology with
A kind of advanced medical supply that X ray radiation technique combines, with image taking speed is fast, radiological dose is low, the quality of image is higher
The features such as, it is widely used in clinical disease diagnosis.
With the development of artificial intelligence technology and the expansion of application field, DR is gradually sent out to intellectuality, mobile, miniaturization
Exhibition.Traditional DR equipment generally requires photographer and exchanged with person taken picture in shooting, on the one hand due to signal transmission and
Reception existence time is poor, causes the best time that shooting is imaged deviation occur；On the other hand, one be shooted is shot due to originals such as diseases
Because not being understood that the intention of photographer sometimes, in addition towards animal applications DR imagings when photographer at all can not with person taken picture
Exchange.In addition, the physiological status that the moment grasps person taken picture in shooting process has important guiding meaning for imaging results analysis
Justice.
DR equipment often requires that person taken picture sucks gas and kept for a period of time when carrying out breast imaging, how to judge quilt
The suction gas the maximum amount of moment seems especially important in the person's of taking the photograph respiratory movement.In recent years, based on contactless respiratory movement
Detection turns into study hotspot, mainly has first-class based on thermal imaging apparatus, radar, body-sensing camera and shooting.Thermal imaging apparatus is general
By detecting neck, temperature change signal near mouth and nose chamber extracts breath signal, but due to the temperature of characteristics of contaminated respiratory droplets gas
Behavioral characteristics retention time is of short duration and signal amplitude is faint, and the extraction and processing speed to behavioral characteristics signal have higher want
Ask.And radar equipment cost is high, volume is big, DR integration of equipments is not easy to.
The content of the invention
The present invention is to overcome above-mentioned the shortcomings of the prior art part, there is provided one kind is examined based on contactless breathing pattern
The X of survey is into machine imaging triggering method, to obtain chest gassiness the best time automatically, so as to improve X-ray machine imaging effect
Fruit.
It is as follows that the present invention solves the technical scheme that the technical problem uses：
A kind of the characteristics of X-ray machine imaging triggering method based on the detection of contactless breathing pattern of the present invention is by following step
It is rapid to carry out：
Step 1：It is provided for carrying out the sensing device of contactless breathing pattern detection on digital X ray machine；
Step 2：The N two field pictures comprising chest and human face region are obtained using the sensing device, are designated as I=[I1,
I2,…,In,…,IN]；Wherein, InFor n-th frame image, n=1,2 ..., N, and N=W × f, W are the time window of setting, and f is
The frame per second of the sensing device；
Step 3：To n-th frame image InThe automatic detection of human face region is carried out, and n-th frame is obtained according to physiological proportions relation
Image InChest region of interest ROIn, so as to obtain chest area-of-interest sequence ROI=[ROI1,ROI2,…,
ROIn,…,ROIN]；
Step 4：Calculate n-th of chest region of interest ROInGray-scale pixels average xi, so as to obtain gray-scale pixels average
Time series X=[x1,x2,…,xn,…,xN]；
Step 5：Denoising is carried out to the gray-scale pixels mean time sequence X, it is equal to obtain the gray-scale pixels after denoising
It is worth time series X '=[x1′,x′2,…,x′n,…,x′N]；
Step 6：Using peak detection algorithm to gray-scale pixels mean time sequence X ' carry out peak value inspection after the denoising
Survey, at the time of being used as that suction gas flow is most in respiratory movement at the time of corresponding to obtained peak value；
Step 7：According at the time of suction gas flow is most in respiratory movement, chest gassiness the best time is confirmed,
And X-ray machine imaging is triggered, so as to obtain imaging results figure.
Compared with the prior art, the present invention has the beneficial effect that：
1st, the inventive method carries out breathing pattern detection using contactless mode, is applied to touching for X-ray machine imaging
Hair, the imaging effect of X-ray machine is on the one hand improved, on the other hand provide the passage of person taken picture's physiological status monitoring.
2nd, in the inventive method breathing pattern detect sensing device cost is low, small volume, is easily installed or integrates, will not
The cost of extra increase X-ray machine.And the breathing pattern detection algorithm clear principle being related in the inventive method, it is easy to accomplish,
It is easy to the exploitation and transplanting of DR equipment ends.
3rd, the inventive method is applicable not only to the breast imaging of X-ray machine, applies also for needing to carry out physiology during X-ray machine imaging
The occasion that parameter detects in real time, there is the characteristics of being widely used.
Brief description of the drawings
Fig. 1 is the flow chart of the inventive method.
Embodiment
Below by taking common camera as an example, with reference to accompanying drawing, the present invention will be further described with specific implementation.
Because in the market has the X-ray machine of diversified forms, including column, horizontal lying-type etc., the inventive method is applied to institute
The X-ray machine model of rabat shooting can be carried out by having, and be described for convenience, and the present embodiment carries out this hair by taking horizontal lying-type X-ray machine as an example
The specific descriptions of bright method.As shown in figure 1, a kind of X-ray machine imaging triggering method based on the detection of contactless breathing pattern is
Carry out as follows：
Step 1：It is provided for carrying out the sensing device of contactless breathing pattern detection on digital X ray machine；Such as Fig. 1
In shown in 001 position, installation or integrated camera sensing device, person taken picture lie low in the flat board of X-ray machine on rabat shooting frame
On, remains stationary.
Step 2：The N two field pictures comprising chest and human face region are obtained using the sensing device, are designated as I=[I1,
I2,…,In,…,IN]；Wherein, InFor n-th frame image, n=1,2 ..., N, and N=W × f, W are the time window of setting, and f is
The frame per second of the sensing device；Open the IMAQ that camera carries out human face and chest area, the frame of general camera
Rate is 25 frames/second, and time window can be set as 10 seconds.
Step 3：To n-th frame image InThe automatic detection of human face region is carried out, and n-th frame is obtained according to physiological proportions relation
Image InChest region of interest ROIn, so as to obtain chest area-of-interest sequence ROI=[ROI1,ROI2,…,
ROIn,…,ROIN]；Chest region of interest ROInExtraction be on the basis of human face region automatic detection, pass through physiology ratio
Example relation is determined.A specific example is, first by Viola-Jones Face datection algorithm locating human faces, to obtain
One rectangle frame.On the basis of the coboundary of the rectangle frame, whole face's rectangle frame is translated into H downward vertically, wherein H is rectangle
The height of frame, the latter half of the rectangle frame after translation is chosen afterwards, is defined as chest area-of-interest.This region is basis
What face and the general law in chest were found, universality is high.It is emerging in chest sense in order to improve the accuracy of breath signal detection
While interesting region determines, the error brought of small movements is eliminated using Kanade-Lucas-Tomasi track algorithms.
Step 4：Calculate n-th of chest region of interest ROInGray-scale pixels average xi, so as to obtain gray-scale pixels average
Time series X=[x1,x2,…,xn,…,xN]；Calculate n-th of chest region of interest ROInGray-scale pixels average xn, obtain
Gray-scale pixels mean time sequence X.For chest region of interest ROInIn certain point pixel for, its gray value can be
Point R, G, the average of channel B, and it is ROI to spend pixel averagenIn all gray values average.
Step 5：Denoising is carried out to the gray-scale pixels mean time sequence X, it is equal to obtain the gray-scale pixels after denoising
It is worth time series X '=[x1′,x′2,…,x′n,…,x′N]；Denoising, such as small echo are carried out to gray-scale pixels mean time sequence
Denoising, empirical mode decomposition denoising etc..By taking Wavelet Denoising Method as an example, because signal can be divided into approximation by each layer of decomposition of small echo
Part and detail section, approximate part corresponds to low frequency signal, and detail section corresponds to HFS.Due to individual breathing per minute
Number is low frequency signal between 16-20 times, and noise is generally high-frequency signal, and the coefficient value of corresponding wavelet decomposition is smaller.
Therefore by setting threshold value, retain low frequency signal and remove high-frequency signal, the signal after being reconstructed is that clean including is exhaled
The signal of suction mode.Sym8 can be used, according to the frequency range of respiratory rate, typically to choose 5 layers of small echo as wavelet basis function
Decompose.
Step 6：Using peak detection algorithm to gray-scale pixels mean time sequence X ' carry out peak value inspection after the denoising
Survey, at the time of being used as that suction gas flow is most in respiratory movement at the time of corresponding to obtained peak value；Peak detection algorithm can be with
Using based on threshold method, the minimum interval between peak value can also be set to eliminate pseudo- peak value according to the scope of respiratory rate.
Step 7：According at the time of suction gas flow is most in respiratory movement, chest gassiness the best time is confirmed,
And X-ray machine imaging is triggered, so as to obtain imaging results figure.
In summary, the inventive method provides solution for the improvement of digital X ray machine image quality, for digitlization
The intelligent development of X-ray machine provides possibility, has important application prospect in clinical disease diagnosis.
Claims (1)
- A kind of 1. X-ray machine imaging triggering method based on the detection of contactless breathing pattern, it is characterized in that carrying out as follows：Step 1：It is provided for carrying out the sensing device of contactless breathing pattern detection on digital X ray machine；Step 2：The N two field pictures comprising chest and human face region are obtained using the sensing device, are designated as I=[I1,I2,…, In,…,IN]；Wherein, InFor n-th frame image, n=1,2 ..., N, and N=W × f, W are the time window of setting, and f is the biography The frame per second of induction device；Step 3：To n-th frame image InThe automatic detection of human face region is carried out, and n-th frame image is obtained according to physiological proportions relation InChest region of interest ROIn, so as to obtain chest area-of-interest sequence ROI=[ROI1,ROI2,…,ROIn,…, ROIN]；Step 4：Calculate n-th of chest region of interest ROInGray-scale pixels average xi, so as to obtain gray-scale pixels mean time Sequence X=[x1,x2,…,xn,…,xN]；Step 5：Denoising is carried out to the gray-scale pixels mean time sequence X, when obtaining the gray-scale pixels average after denoising Between sequence X '=[x '1,x′2,…,x′n,…,x′N]；Step 6：Using peak detection algorithm to gray-scale pixels mean time sequence X ' carry out peakvalue's checking after the denoising, obtain To peak value corresponding at the time of as in respiratory movement suck gas flow it is most at the time of；Step 7：According at the time of suction gas flow is most in respiratory movement, chest gassiness the best time is confirmed, and touch X-ray machine imaging is sent out, so as to obtain imaging results figure.
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| CN109140709A (en) * | 2018-08-23 | 2019-01-04 | 珠海格力电器股份有限公司 | Air conditioning control method and device, air-conditioning |
| CN109830085A (en) * | 2018-12-05 | 2019-05-31 | 深圳市天视通电子科技有限公司 | A kind of baby sleep monitoring method and system |
| CN110037721A (en) * | 2019-04-30 | 2019-07-23 | 西门子(深圳)磁共振有限公司 | X-ray imaging device and its operating method |
| CN110269591A (en) * | 2019-06-27 | 2019-09-24 | 青岛大学附属医院 | Medical scanning image positioning method, device, computer equipment and medium |
| CN110859640A (en) * | 2019-11-13 | 2020-03-06 | 先临三维科技股份有限公司 | Scanner, operation method, device and system thereof, storage medium and processor |
| CN113361526A (en) * | 2021-07-16 | 2021-09-07 | 合肥工业大学 | Non-contact respiration rate monitoring method fusing shoulder and chest area information |
| TWI741708B (en) * | 2020-07-30 | 2021-10-01 | 國立雲林科技大學 | Contactless breathing detection method and system thereof |
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| CN113361526B (en) * | 2021-07-16 | 2022-09-27 | 合肥工业大学 | Non-contact respiration rate monitoring method fusing shoulder and chest area information |
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Application publication date: 20180109 |