CN105125228A - Image processing method for chest X-ray DR (digital radiography) image rib inhibition - Google Patents
Image processing method for chest X-ray DR (digital radiography) image rib inhibition Download PDFInfo
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Abstract
The invention discloses an image processing method for chest X-ray DR (digital radiography) image rib inhibition. The method comprises the following steps: acquiring a chest X-ray DR image; performing pyramid decomposition on the DR image, performing a down sampling process to obtain a Gaussian image pyramid S, and performing an up sampling process to obtain a Laplacian image pyramid difference chart D(S); taking the minimum S as a current to-be-processed image I; performing filtering processing on the image I by using an adjustable Gabor filter bank so as to obtain a reconstructed image R; differencing the to-be-processed image I and the reconstructed image R to obtain a processing result image E with weakened segment-shaped textures under the scale; and doubling the processing result image E, adding the processing result image E and a corresponding Laplacian image pyramid difference chart D(S) under the size together, and repeating the processing procedure until the size is the same as that of an original DR image, thereby obtaining an image after rib inhibition. According to the method disclosed by the invention, the visual saliency of pulmonary shadows is improved, the workload of doctors is reduced, automatic processing can be realized, and an analysis conclusion is more objective and stable.
Description
Technical field
The present invention relates to medical information field, be specifically related to the image processing method that a kind of Chest X-rays DR image rib suppresses.
Background technology
DR imaging and traditional fluoroscopy of chest are all by X-ray imaging, are the Main Means of health check-up examination pulmonary disease, as pneumonia, lump, tuberculosis etc.; But DR image is digitized video, and imaging definition is high, and radiation is low, progressively instead of traditional fluoroscopy of chest imaging in practice.The object of usual shooting DR sheet does pulmonary tuberculosis examination; Tuberculosis is caused by mycobacterium tuberculosis, the easily spittle even aerosol transmission in air; An infectiousness pulmonary tuberculosis patient, on average can infect 10 to 15 people in 1 year; Tuberculosis patient main body is between twenty and fifty, causes family and the loss of social labor power; World Health Organization (WHO) points out that tuberculosis is global important public health problem; In the whole world, annual tuberculosis captures 1,400,000 people's life; In China, there are 5,000,000 active tuberculosis patients at present, have 50,000 people to die from tuberculosis every year, be equivalent within every 10 minutes, just have 1 people dead; According to the estimation of World Health Organization (WHO), the annual neopathy people 1,000,000 of China, year the amplitude of falling progressively be 3%; In the tuberculosis high burden country of 22, the whole world, China is only second to India and comes second; Tuberculosis is one of Infectious Diseases of China's emphasis prevention and control, CDC is pointed out, China is one of 27 Drug resistant pulmonary tubeculosis high burden countries of one of 22 tuberculosis high burden countries in the whole world and the whole world, and it is the first that Drug resistant pulmonary tubeculosis patient numbers occupies the whole world; Common lunger's number occupies global second, is only second to India; Based on the pulmonary tuberculosis high incidence data that World Health Organization (WHO) issues, by included for 67 countries comprising China, bring adverse effect to the international development of China.
Although China's pulmonary tuberculosis on its presents that number of the infected is many, number of the infected is many and now suffer from the many severe situations of number, tuberculosis itself can prevent controlling; By promotion and the international support of the Chinese government, country provides free diagnosis of tuberculosis and treatment; But because the pulmonary tuberculosis patient of China more than 80% is rural area or recurrent population, the accessibility of medical services is not as town dweller and non-current population, and the compliance that patient accepts long-term Canonical management is poor, and often therapeutic effect is bad; In view of harm lungy is serious, preventing and controlling difficulty is large, and local tuberculosis prevention and treatment troops at different levels scale is still less, strength and funds still can not adapt to the demand of preventing and treating, need reinforcement technology and fund input, set up Combination between clinic and prevention mechanism, form effective countermeasure system; Current, in the enforcement of tuberculosis prevention and treatment, there is early discovery and Case management two weaknesses, difficult link; First, due to Tuberculosis concealment and the limitation of detection technique method, the passively discover mode that the main dependent patient of diagnosis discovery patient has had symptom to go to see a doctor; Although clap X-ray by health check-up initiatively can find pulmonary tuberculosis, the little health check-up of patient subject crowd; This just needs research how to determine High risk group, carries out initiatively discovery work targetedly; Still employ more than 130 year in the method for widely used sputum smear dyeing, microscopy at present, recall rate is low; Secondly, high, particularly difficult to Drug-fast case tuberculosis therapy for the lunger's Canonical management management depigmentation rate made a definite diagnosis; The Canonical management compliance of patient is poorer, and in therapeutic process, patient is run off in a large number, only has minority can adhere to treatment; Under this situation, key population pulmonary tuberculosis patient examination project is carried out in the basic public health service of domestic progressively application, and all gives free antituberculosis therapy to making a definite diagnosis patient.
Chest X-rays DR sheet utilizes the different densities of tissue imaging difference under X-ray, to observe the pathological changes of thickness and density difference smaller part position; But human tissue structure is complicated, thoracic cavity and abdominal cavity contain the Chief organ of human body, contain high density and low-density various internal organs; Therefore its image is overlapping mutually, and the impact observed the lobe of the lung at DR Pian Shang pulmonary rib is especially large; If can weaken or eliminate rib image, just can more be conducive to finding trickle pathological changes; In addition, the objective record of image data is conducive to the check contrast of diagnosis of disease; The roentgendosis that patient accepts to have an X-rayed is also relatively larger, although be conducive to the examination of the infectious diseases such as pulmonary tuberculosis based on the DR chest film inspection of X-ray, overfrequency radiates harmful has been undisputable fact; The inspection of DR sheet is then a double-edged sword to human health; According to the standard that X-ray is formulated according to ICRP, radiation total risk factor is 0.0165/ sievert, and x-ray chest radiograph shooting is less than the half second time, exposure rate is about 0.045 mSv/second (1 sievert=1000 mSv), very limited to the health risk of crowd.But the gonad in human body, eye lens, mammary gland and thyroid are responsive especially to ray, check not benefit too frequently; Suppress and eliminate DR Pian Zhong pulmonary rib image to examinee and sufferer, can take less rabat, obtaining doctor under compared with the cost of low radiation dose makes a definite diagnosis focus.
Summary of the invention
The invention provides the image processing method that a kind of Chest X-rays DR image rib towards residents ' health health check-up suppresses.
The technical solution used in the present invention is:
The image processing method that Chest X-rays DR image rib suppresses, comprises the following steps:
Obtain Chest X-rays DR image;
DR image is done pyramid decomposition, carries out down-sampled process and obtain Gaussian image pyramid S, carry out rising sampling process and obtain laplacian image pyramid disparity map D(s);
Using minimum S as current pending image I;
By adjustable Gabor filter group, Filtering Processing is carried out to image I, obtain reconstructed image R;
Pending image I and reconstructed image R are asked poor, under obtaining this yardstick, weakens the result image E of line segment shape texture;
Result image E is put and is twice, be added with corresponding laplacian image pyramid disparity map D (s) under this size, repeat this processing procedure, until identical with original DR picture size, obtain the image after rib suppression.
Further, 5 layers of pyramid decomposition are done to DR image.
Further, DR image is constantly reduced into 1/2 of original picture altitude on the basis of Gaussian smoothing, obtains a series of Gaussian image pyramid S;
The described sampling process that rises is specially: each figure is enlarged into 2 times of original height, asks poor, obtain a series of laplacian image pyramid disparity map D(s with original image under gaussian pyramid).
Further, in described adjustable Gabor filter group, filter width and be highly all 31 pixels, and direction comprises 16 directions from 0 to 180 °.
Further, described adjustable Gabor filter group is as follows to image I processing procedure:
By Gabor filter group, convolution is done to image I;
Travel through the convolution coefficient of each pixel under different directions, record maximum and corresponding Gabor filter direction;
Superpose in the directivity Gabor filter that maximum convolution coefficient value is corresponding according to each pixel, obtain reconstructed image R.
Further, after obtaining the image after rib suppression, improve visual effect process to image, processing procedure is as follows:
Extract lung areas profile, obtain the masking-out of lung areas;
Suppress image to do gray scale histogram equalization according to the pixels statistics information of masked area inside to pulmonary's rib, draw high gradation of image scope;
Utilize lung areas masking-out as Alpha layer, mixing drawing high the image after tonal range with Alpha layer, obtaining result.
Further, GrabCut algorithm is adopted to extract the profile of lung areas.
The invention has the beneficial effects as follows:
(1) the present invention is by suppressing the interference of rib, thus makes the diversity of focus shade and the normal lobe of the lung become leading difference in image, improves the vision significance of pulmonary shadow;
(2) the present invention can adapt to various Chest X-rays DR sheet, adapts to different figure and the age person of being taken, realizes full automatic treatment;
(3) the present invention effectively can utilize Internet resources, can realize the function of remote medical consultation with specialists, thus improves the consultation of doctors reliability of difficult and complicated illness;
(4) the present invention can be used as the basis of computer-aided diagnosis, and the image removed after rib interference contributes to the design of follow-up automatization's pathological changes method of discrimination;
(5) the present invention significantly can reduce the workload of doctor, and improves overall recognition accuracy and treatment effeciency; And can reduce due to the impact that doctors experience is not enough and experience difference differentiates the state of an illness, make analysis conclusion more objective and stable;
(6) the present invention can be integrated with existing armarium and informatization and network resource, and without the need to purchasing additional dedicated equipment, the complete compatible traditional approach of mode of operation, makes migration work acceptant.Improve the utilization rate of the equipment of reducing simultaneously, avoid the idleness of equipment and the wasting of resources.
Accompanying drawing explanation
Fig. 1 is schematic flow sheet of the present invention.
Equipment connection schematic diagram in Fig. 2 embodiment.
Detailed description of the invention
Below in conjunction with the drawings and specific embodiments, the present invention will be further described.
An image processing method for Chest X-rays DR image rib suppression as shown in Figure 1, comprises the following steps:
Obtain Chest X-rays DR image;
DR image is done pyramid decomposition, carries out down-sampled process and obtain Gaussian image pyramid S, carry out rising sampling process and obtain laplacian image pyramid disparity map D(s);
Using minimum S as current pending image I;
By adjustable Gabor filter group, Filtering Processing is carried out to image I, obtain reconstructed image R;
Pending image I and reconstructed image R are asked poor, under obtaining this yardstick, weakens the result image E of line segment shape texture;
Result image E is put and is twice, be added with corresponding laplacian image pyramid disparity map D (s) under this size, repeat this processing procedure, until identical with original DR picture size, obtain the image after rib suppression.
The method that wherein pyramid decomposition is concrete is recorded in " Burt, PeterandAdelson, Ted, " TheLaplacianPyramidasaCompactImageCode ", IEEETrans.Communications, 9:4,1983,532-540. "; The processing method of adjustable Gabor filter group is recorded in " Fischer; S.; Sroubek, F., Perrinet; L.; Redondo, R.andCrist ó bal, G. " SelfinvertibleGaborwavelets " .InternationalJournalofComputerVision; 75,2007:231-246. ".
Further, 5 layers of pyramid decomposition are done to DR image.
Further, described down-sampled process is specially: DR image is constantly reduced into 1/2 of original picture altitude on the basis of Gaussian smoothing, obtains a series of Gaussian image pyramid S;
The described sampling process that rises is specially: each figure is enlarged into 2 times of original height, asks poor, obtain a series of laplacian image pyramid disparity map D(s with original image under gaussian pyramid).
Further, in described adjustable Gabor filter group, filter width and be highly all 31 pixels, and direction comprises 16 directions from 0 to 180 °.
Further, described adjustable Gabor filter group is as follows to image I processing procedure:
By Gabor filter group, convolution is done to image I;
Travel through the convolution coefficient of each pixel under different directions, record maximum and corresponding Gabor filter direction;
Superpose in the directivity Gabor filter that maximum convolution coefficient value is corresponding according to each pixel, obtain reconstructed image R.
Further, after obtaining the image after rib suppression, improve visual effect process to image, processing procedure is as follows:
Extract lung areas profile, obtain the masking-out of lung areas;
Suppress image to do gray scale histogram equalization according to the pixels statistics information of masked area inside to pulmonary's rib, draw high gradation of image scope;
Utilize lung areas masking-out as Alpha layer, mixing drawing high the image after tonal range with Alpha layer, obtaining result.
Further, GrabCut algorithm is adopted to extract the profile of lung areas.
Wherein the circular of GrabCut algorithm is recorded in " C.Rother, V.Kolmogorov, andA.Blake; GrabCut:Interactiveforegroundextractionusingiteratedgrap hcuts, ACMTrans.Graph., vol.23; pp.309 – 314,2004. ".
Apply the present invention to basic scale health check-up point and serious infectious diseases examination; equipment connection schematic diagram as shown in Figure 2; form primarily of computer automation processing capacity; by reading digitized Chest X-rays DICOM view data; transfer data to the multiple dimensioned extraction of pulmonary's rib and suppression module, specific works step is as follows:
1) computer being equipped with pulmonary tuberculosis examination and lesion localization automatization module is connected to medical image data server by health check-up point staff, and configures the parameter of DICOM image file reading;
2) system is according to time point, automatically runs pulmonary tuberculosis examination and lesion localization automatization module;
3) pulmonary tuberculosis examination and lesion localization automatization module accesses medical image data storehouse server, therefrom inquire about do not analyze newly enter DICOM data;
4) system call pulmonary rib suppression module, extracts the line segment dress texture region being similar to rib in lung images adaptively, and suppresses targetedly;
5) system adopts multiple dimensioned processing policy, makes the rib of critical region by thick to smart suppressed and removal;
6) system call lung outlines extraction module, from lung image, extraction may be the masking-out image of lung areas;
7) using masking-out image as Alpha passage, strengthen pulmonary remove image after rib to comparison and detail textures, and be AlphaBlending with original image;
8) fusion image is exported as system;
9) GTG of fusion image is converted to pseudo-colours simultaneously, also exports as system, pay close attention to main points to point out doctor;
10) computer is marked the subscriber terminal equipment that image and original image are used to doctor by Internet Transmission, confirmed to mark correctness by doctor.If doctor thinks correct judgment, then directly click " confirmations " button with typing and submission word content; Be out of one's reckoning if doctor thinks, then click " amendment " button, to open the program interface of artificial mark;
11) not to the period that the subscriber terminal equipment of doctor is served, system Automatically invoked self adaptation state updating module, with according to the image texture content of the new hand labeled of doctor to the parameter improvement of existing grader and in-depth training.
AlphaBlending processing method is recorded in " Wallace; Bruce. " Mergingandtransformationofrasterimagesforcartoonanimatio n " .SIGGRAPHComputerGraphics15 (3), 1981:253 – 262. ".
In above each step, system can point out doctor to operate in patterned mode, by Computer Automatic Recognition and dynamic learning, to reduce the frequency that doctor needs operation keyboard and mouse, thus improve treatment effeciency and improve Consumer's Experience, uninteresting mark and checking work are become and easily allows people accept; In addition, system adopts B/S framework, as long as make doctor have username and password can carry out mark and the assessment of pulmonary tuberculosis image on the computer of any connecting Internet network, makes work platforms expand to wide area universal network from the dedicated network of localization; Not only be beneficial to work and the coordination of doctor, and be conducive to local bodyguard department and disease control unit to the assurance of grass-roots work and data analysis and excavation.
The present invention can carry out pulmonary tuberculosis infectious disease screening by assist physician; Employing computer image processing technology detects the rib region in DICOM view data automatically, and raw its pattern of adaptive suppression is to generate the effect image only comprising soft tissue texture, to solve at present extensive resident's health check-up, to produce data volume too large, and doctor finite time one by one hand inspection be difficult to the difficult problem keeping high precision test; It utilizes the advantage of medical information, and supervisor's factor that can adapt to healthcare givers causes the problems such as deviation, the change of health check-up point, the computer level difference of operator.Whole processing procedure is simple and convenient, improve the treatment effeciency of pulmonary tuberculosis examination, reduce the work load of health check-up point medical personnel simultaneously, be suitable for the basic medical unit lacking pulmonary tuberculosis Chest X-rays image quided experience, even can be used as the basic technology of the vehicle-mounted Chest X-rays examination solution of mobile.Thus the further normalization of the extensive health check-up of resident for major infectious diseases and standardization popularization is more conducive to.
The present invention without the need to manual intervention, process various Chest X-rays DR image that can be full-automatic; Utilize new technical means can reduce the workload of medical personnel's desk checking Chest X-rays image, and lifting body focus Detection accuracy and serious infectious diseases monitoring efficiency, for the relevant policies of the program decisions and adjustment masses hygiene and health of working out the prevention and control of infectious disease provide valuable Information base; And with DICOM data for handling object, based on existing medical imaging device and computer and the Internet, do not relate to the improvement of particular hardware.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (7)
1. an image processing method for Chest X-rays DR image rib suppression, is characterized in that, comprise the following steps:
Obtain Chest X-rays DR image;
DR image is done pyramid decomposition, carries out down-sampled process and obtain Gaussian image pyramid S, carry out rising sampling process and obtain laplacian image pyramid disparity map D(s);
Using minimum S as current pending image I;
By adjustable Gabor filter group, Filtering Processing is carried out to image I, obtain reconstructed image R;
Pending image I and reconstructed image R are asked poor, under obtaining this yardstick, weakens the result image E of line segment shape texture;
Result image E is put and is twice, be added with corresponding laplacian image pyramid disparity map D (s) under this size, repeat this processing procedure, until identical with original DR picture size, obtain the image after rib suppression.
2. the image processing method of a kind of Chest X-rays DR image rib suppression according to claim 1, is characterized in that, do 5 layers of pyramid decomposition to DR image.
3. the image processing method of a kind of Chest X-rays DR image rib suppression according to claim 1 and 2, it is characterized in that, described down-sampled process is specially: DR image is constantly reduced into 1/2 of original picture altitude on the basis of Gaussian smoothing, obtains a series of Gaussian image pyramid S;
The described sampling process that rises is specially: each figure is enlarged into 2 times of original height, asks poor, obtain a series of laplacian image pyramid disparity map D(s with original image under gaussian pyramid).
4. the image processing method that suppresses of a kind of Chest X-rays DR image rib according to claim 1, is characterized in that, in described adjustable Gabor filter group, and filter width and be highly all 31 pixels, and direction comprises 16 directions from 0 to 180 °.
5. the image processing method that a kind of Chest X-rays DR image rib according to claim 1 or 4 suppresses, it is characterized in that, described adjustable Gabor filter group is as follows to image I processing procedure:
By Gabor filter group, convolution is done to image I;
Travel through the convolution coefficient of each pixel under different directions, record maximum and corresponding Gabor filter direction;
Superpose in the directivity Gabor filter that maximum convolution coefficient value is corresponding according to each pixel, obtain reconstructed image R.
6. the image processing method of a kind of Chest X-rays DR image rib suppression according to claim 1, it is characterized in that, after obtaining the image after rib suppression, improve visual effect process to image, processing procedure is as follows:
Extract lung areas profile, obtain the masking-out of lung areas;
Suppress image to do gray scale histogram equalization according to the pixels statistics information of masked area inside to pulmonary's rib, draw high gradation of image scope;
Utilize lung areas masking-out as Alpha layer, mixing drawing high the image after tonal range with Alpha layer, obtaining result.
7. the image processing method of a kind of Chest X-rays DR image rib suppression according to claim 6, is characterized in that, adopt GrabCut algorithm to extract the profile of lung areas.
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