CN1843296A - Digitalized X ray Image processing apparatus and method thereof - Google Patents
Digitalized X ray Image processing apparatus and method thereof Download PDFInfo
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- CN1843296A CN1843296A CN 200610034577 CN200610034577A CN1843296A CN 1843296 A CN1843296 A CN 1843296A CN 200610034577 CN200610034577 CN 200610034577 CN 200610034577 A CN200610034577 A CN 200610034577A CN 1843296 A CN1843296 A CN 1843296A
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Abstract
The invention relates to field of medical image, which in detail relates to a device and method for treating image of digitalized X line. The said device comprises: image disintegrating module, signal treating module, image synthesizing module and input interface for getting external image information. The image disintegrating module can take 4/9 sample for external image and get image under different distinguishability to disintegrate the external image into detail with different gradation; said signal treating module treats signal of said detail in balance by using Log calculation, enlarges signals with small transmission gain and inhibits signals with large transmission gain; said signal treating module uses multiple layer Gaussian filtration to inhibit the noise distributed in different frequency range.
Description
Technical field
The present invention relates to the medical image field, relate to the apparatus and method of a kind of digital X line image processing.
Background technology
The photography of X line is the important means of medical diagnosis, and digital X-ray image has than the bigger superiority of X line film, and it is big that digital X-ray image has dynamic range, and the image linear characteristic waits remarkable advantage well.But the gray level resolution of human eye is limited, is difficult in to see all image informations under a kind of observation condition, and image must adopt different window width and window levels at different positions through reconciling repeatedly, could guarantee not omit important diagnostic information.Read the sheet doctor and then must have the advantage that rich experience could make full use of digital X-ray image by image adjustment very much.Simultaneously image adjustment be one more time-consuming, need the work of skill again.Figure time traditional processing mode method is single, and simultaneously treated effect is also not ideal enough, and the information of many details is not easy to be found.Therefore developing a kind of method of efficiently digital X image further being handled is significant to improving the medical image diagnostic level.At present, processing method and the concrete mode to digital X-ray image is as follows:
Figure image intensifying: handle governing response by spatial frequency, improve the response of image medium-high frequency composition and increase the contrast of details.This technology can realize by Fourier transform, also can realize by selecting the image sharpening convolution kernel that image is carried out convolution algorithm.
Image smoothing: also be to handle governing response, reduce the response of image medium-high frequency composition and suppress noise by spatial frequency.This technology can realize by Fourier transformation equally, also can realize (for example gaussian filtering) by selecting the image smoothing convolution kernel that image is carried out convolution algorithm.
The figure image intensifying is the noise in the meeting enlarged image in the contrast that increases details.Image smoothing can reduce the contrast of image detail when suppressing noise.So top way can not suppress noise when increasing detail contrast.
Dynamic range compression: the contrast of the low frequency part in the dynamic range compression compressed digital X line image, the contrast of reserved high-frequency part simultaneously.Digital X-ray image is handled by digital X-ray image being carried out dynamic range compression, can clearly depict fine structure in display image integral body.
The shortcoming of prior art is: above several image process method are separate, if wanting to realize the compound of multiple treatment effect must repeatedly handle image, operand is very big, consuming time very long, and operation is also inconvenient, and clinical application effect is undesirable.
Summary of the invention
The present invention has overcome deficiency of the prior art, provides simply, digital X-ray image blood processor fast.
The present invention has also disclosed and has a kind ofly utilized above-mentioned image processing apparatus to carry out image process method.
In order to solve the problems of the technologies described above, be achieved through the following technical solutions: a kind of digital X-ray image blood processor, it comprises that picture breakdown module, signal processing module, image synthesis unit and obtain the input interface of external image information, this picture breakdown module can be carried out 4/9 sampling to external image and be obtained image under the different resolution, the external image that obtains is decomposed into the details of different levels.
Described signal processing module uses the Log computing that the signal on the above-mentioned details at all levels is carried out equilibrium treatment, and the signal that gain amplifier is less suppresses the bigger signal of gain.
Described signal processing module uses multi-level gaussian filtering, suppresses to be distributed in the image noise of different frequency section.
A kind of said apparatus that uses carries out the method that digital X-ray image is handled, it comprises that following process: a, picture breakdown module adopt improved pyramid algorith that the external image from information input interface input is carried out 4/9 sampling and obtain image under the different resolution, the external image that obtains is decomposed into the details of different levels; B, signal processing module use the Log computing signal on the above-mentioned details at all levels to be handled and equilibrium, and the signal that gain amplifier is less suppresses the bigger signal of gain; Simultaneously, signal processing module uses multi-level gaussian filtering, suppresses to be distributed in the image noise of different frequency section; The synthetic final image of attaining the Way of individual level of detail after c, image synthesis unit will be handled.
The parameter of Log computing designs according to statistic among the process b; Multi-level gaussian filtering adopts littler convolution kernel that image is handled.
The method that digital X-ray image of the present invention is handled has proposed improved pyramid algorith, and the interval between the different resolution has dwindled nearly one times like this, has effectively reduced the frequency content of the signal covering of decomposing, and has improved treatment effect greatly; Use the Log computing that the signal on each level is handled, effectively the less signal that gains has been amplified in the equilibrium that signal is carried out, and has suppressed the bigger signal of gain.And way in the past is to adopt the unified mode of dwindling gain of amplifying to handle, and is difficult to obtain ideal results.Using multi-level gaussian filtering, be different from existing gaussian filtering, existing gaussian filtering adopts bigger convolution kernel that image is handled in order to suppress picture noise, and not only operand is very big, simultaneously effective high-frequency signal has also been carried out great inhibition.Use multi-level gaussian filtering, can effectively suppress to be distributed in the image noise of different frequency section on the one hand, can use less convolution kernel simultaneously, arithmetic speed also is greatly improved.
Description of drawings
Fig. 1 is digital X-ray image process flow figure of the present invention.
The specific embodiment
A kind of digital X-ray image blood processor, it comprises that picture breakdown module, signal processing module, image synthesis unit and obtain the input interface of external image information, this picture breakdown module can be carried out 4/9 sampling to external image and be obtained image under the different resolution, the external image that obtains is decomposed into the details of different levels; Described signal processing module uses the Log computing that the signal on the above-mentioned details at all levels is carried out equilibrium treatment, and the signal that gain amplifier is less suppresses the bigger signal of gain, uses multi-level gaussian filtering, suppresses to be distributed in the image noise of different frequency section.
Digital X-ray image processing method of the present invention adopts the thinking of multiresolution that image is handled, this method at first uses improved pyramid algorith raw digitized X line image to be resolved into the details (image of input is primary linear image) of different levels, then these details are carried out signal processing: use the Log computing that the signal on each level is handled, simultaneously in conjunction with statistic design Log computing parameter, can effectively strengthen with balanced the signal on the different levels, carry out processing such as noise reduction simultaneously in conjunction with gaussian filtering, at last with these details reconstruct, the image after obtaining handling.
In the entire process process of digital X-ray image processing method of the present invention, used following method:
1. pyramid algorith is in the past carried out 1/4 sampling to image and is obtained image under the different resolution, because the frequency of sampling is too little, so the interval between the different resolution is too big, the frequency content that causes the signal that decomposes out to cover is more, is unfavorable for next step signal processing.Therefore improved pyramid algorith proposed, improved pyramid algorith is carried out 4/9 sampling to image and is obtained image different resolution under and (horizontal and vertically use 2/3 to sample respectively, the interval of sampling is more neat, can improve arithmetic speed), sampling interval between the different resolution has been dwindled nearly one times like this, effectively reduce the frequency content of the signal covering of decomposing, improved treatment effect greatly.
2. in conjunction with statistic design Log computing parameter, use the Log computing that the signal on each level is handled, effectively the less signal that gains has been amplified in the equilibrium that signal is carried out, and has suppressed the bigger signal of gain.And way in the past is to adopt the unified mode of dwindling gain of amplifying to handle, and is difficult to obtain ideal results.
3. using multi-level gaussian filtering, be different from existing gaussian filtering, existing gaussian filtering adopts bigger volume collection to check image and handles in order to suppress picture noise, and not only operand is very big, simultaneously effective high-frequency signal has also been carried out great inhibition.Use multi-level gaussian filtering, can effectively suppress to be distributed in the image noise of different frequency section on the one hand, can use less volume collection nuclear simultaneously, arithmetic speed also is greatly improved.Referring to accompanying drawing 1, wherein signal processing has comprised two parts: signal equalization and noise suppressed.
Signal equalization has just used the use Log computing of narrating above the signal on each level has been handled.At first the absolute value of each layer detail signal carries out statistics with histogram.Determine log computing parameter according to histogrammic distribution situation then:
F(x)＝a*logcb*(x+1) (x＞＝0)
F(x)＝-a*logcb*(-x+1) (x＜0)
Wherein, parameter a is used for the gain of control hierarchy signal, can use less gain than the level signal of low frequency, is used for realizing dynamic range compression, and the level signal to higher-frequency can use bigger gain simultaneously, is used for realizing that details strengthens.
Parameter b and c are used for controlling the shape of log curve, like this as x during less than certain numerical value, tangent slope＞1 of F (x) corresponding point, as x during less than certain numerical value, tangent slope＜1 of F (x) corresponding point, simultaneously, when the slope of F (x) constantly successively decreases along with increasing progressively of x, thereby realize the signal equalization in each level.
Noise suppressed is carried out gaussian filtering by the signal to a level of high frequency and just can be realized.The process of gaussian filtering was carried out before the Log computing.Simultaneously, can selectively carry out gaussian filtering to different levels according to the concrete condition of image.
In the inventive method, in the once decomposition of image, integrated dynamic range compression in the synthetic process, tissue is balanced, and multiple Processing Algorithm such as figure image intensifying have improved the efficient of handling.Improved pyramid algorith is handled the signal on each level in conjunction with the Log computing of statistic, also has multi-level gaussian filtering effectively to guarantee the quality of image.Further optimized the effect of Flame Image Process at the image parameter optimization collection of position and position.After treatment, originally more weak being difficult to is easier to be observed by the image information that naked eyes are found; On the other hand, originally very strong signal just alleviates greatly to the interference than weak signal, also helps the observation of small and weak signal.This symphony image processing method has contrast control, details strengthens processing parameter inputs such as control, dynamic range control, noise suppressed control, can effectively mediate to the concrete effect of Flame Image Process.Use equally further tuning (such as the ESA algorithm, or curve mapping etc.) of degree of comparing of image after image processing method of the present invention is handled.
Have following advantage through the digital X-ray image after the pyramid algorith processing:
1. abundant, the nature of image level, details are complete, have eliminated during general pattern strengthens the black surround phenomenon in the high contrast district substantially;
2. Feng Fu adjusting parameter is convenient to experienced doctor and is reached the optimization process effect;
3. at the parameter set at different anatomic position, make things convenient for the doctor to use;
4. allow the user to set up the personalizing parameters collection, be convenient to the doctor and keep the empirical value of oneself; Processing speed is fast, need not the special hardware support.
The clinical value that pyramid algorith has:
1. make the clinician under normal conditions, need not to regulate image can diagnose;
2. good contrast equilibrium has satisfied display effect to the position of some layer of structure complexity such as plain abdominal radiograph etc.;
3. the clinical more diagnostic message of horn of plenty that provides is provided, for example good soft tissue shows, clearly trabecular bone structure etc.
The only unrestricted technical scheme of the present invention in order to explanation is more than described.Any modification or partial replacement that does not break away from spirit and scope of the invention all should be encompassed in the middle of the claim scope of the present invention.
Claims (7)
1, a kind of digital X-ray image blood processor, it comprises that picture breakdown module, signal processing module, image synthesis unit and obtain the input interface of external image information, it is characterized in that, this picture breakdown module can be carried out 4/9 sampling to external image and be obtained image under the different resolution, the external image that obtains is decomposed into the details of different levels.
2, digital X-ray image blood processor according to claim 1, it is characterized in that, described signal processing module uses the Log computing signal on the above-mentioned details at all levels to be handled and equilibrium, and the signal that gain amplifier is less suppresses the bigger signal of gain.
3, digital X-ray image blood processor according to claim 1 and 2 is characterized in that, described signal processing module uses multi-level gaussian filtering, suppresses to be distributed in the image noise of different frequency section.
4, a kind of use device described in claim 1 carries out the method that digital X-ray image is handled, it comprises that following process: a, picture breakdown module adopt improved pyramid algorith that the external image from information input interface input is carried out 4/9 sampling and obtain image under the different resolution, the external image that obtains is decomposed into the details of different levels; B, signal processing module carry out signal equalization and noise suppressed to each level of detail; The synthetic final image that obtains of individual level of detail after c, image synthesis unit will be handled.
5, digital X-ray image processing method according to claim 4 is characterized in that, among the process b, uses the Log computing to handle carrying out signal equalization on the above-mentioned details at all levels; Use multi-level gaussian filtering to carry out noise suppressed.
6, digital X-ray image processing method according to claim 5 is characterized in that, before the design Log computing, the absolute value of each layer detail signal is carried out statistics with histogram, determines above-mentioned log computing parameter according to histogrammic distribution situation then.
7, digital X-ray image processing method according to claim 4 is characterized in that, multi-level gaussian filtering adopts littler convolution kernel that image is handled among the process b.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8542944B2 (en) | 2008-10-14 | 2013-09-24 | Shenzhen Mindray Bio-Medical Electronics Co., Ltd. | Method and apparatus for multi-scale based dynamic range compression and noise suppression |
| US8792747B2 (en) | 2010-07-15 | 2014-07-29 | Shenzhen Mindray Bio-Medical Electronics Co., Ltd. | Image processing method and device, and medical imaging instrument |
| CN104318507A (en) * | 2014-10-31 | 2015-01-28 | 杭州美诺瓦医疗科技有限公司 | Medical image local multi-parameter single-picture shortcut key control processing and display method |
| CN104463807A (en) * | 2014-12-24 | 2015-03-25 | 深圳市安健科技有限公司 | Method and system for self-adaptive enhancement of contrast ratio of X-ray image |
| CN107203959A (en) * | 2017-07-27 | 2017-09-26 | 上海联影医疗科技有限公司 | Image acquiring method, device and digital radiography equipment |
-
2006
- 2006-03-27 CN CN 200610034577 patent/CN1843296A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8542944B2 (en) | 2008-10-14 | 2013-09-24 | Shenzhen Mindray Bio-Medical Electronics Co., Ltd. | Method and apparatus for multi-scale based dynamic range compression and noise suppression |
| US8792747B2 (en) | 2010-07-15 | 2014-07-29 | Shenzhen Mindray Bio-Medical Electronics Co., Ltd. | Image processing method and device, and medical imaging instrument |
| CN104318507A (en) * | 2014-10-31 | 2015-01-28 | 杭州美诺瓦医疗科技有限公司 | Medical image local multi-parameter single-picture shortcut key control processing and display method |
| CN104463807A (en) * | 2014-12-24 | 2015-03-25 | 深圳市安健科技有限公司 | Method and system for self-adaptive enhancement of contrast ratio of X-ray image |
| CN104463807B (en) * | 2014-12-24 | 2017-05-10 | 深圳市安健科技股份有限公司 | Method and system for self-adaptive enhancement of contrast ratio of X-ray image |
| CN107203959A (en) * | 2017-07-27 | 2017-09-26 | 上海联影医疗科技有限公司 | Image acquiring method, device and digital radiography equipment |
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