CN104680503B - Medical image processing method, medical image processing devices and medical x-ray image documentation equipment - Google Patents
Medical image processing method, medical image processing devices and medical x-ray image documentation equipment Download PDFInfo
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Abstract
The embodiment of the present invention proposes a kind of medical image processing method, and this method includes：The cut-off rule that at least one be distributed in a medical image represents the image on photochopper boundary is obtained using Image Edge-Detection and line detection algorithm；For every cut-off rule, the image data inside and outside the cut-off rule is analyzed to judge whether the cut-off rule passes through the image of the region of anatomy, if it is determined that the cut-off rule passes through the image of the region of anatomy, then cancels the cut-off rule；Fall the image other than remaining each cut-off rule from segmentation in the medical image.The embodiment of the present invention also proposed a kind of corresponding image processing apparatus, medical x-ray image documentation equipment.Using the embodiment of the present invention, the quality of medical image can be improved.
Description
Technical field
The present invention relates to Medical Imaging Technology field, in particular to a kind of medical image processing method, a kind of corresponding doctor
Image processing apparatus and medical x-ray image documentation equipment are learned, correspondingly, further relating to a kind of machine readable storage medium and one kind
Computer program.
Background technique
Medical image refers to for medical treatment or medical research, to human body or human body part, obtained with non-intruding mode in
The technology and treatment process of tissue image of portion.In Medical Imaging Technology field, x-ray (being also X-ray or X-ray) imaging technique is used
Equipment be referred to as medical x-ray image documentation equipment.Currently, relatively common medical x-ray image documentation equipment includes：Angiography
(Angiography) equipment, angiocardiography (Cardiac angiography) equipment, CT Scan (CT,
Computerized Tomography) equipment, dental X-ray film piece (Dental radiography) equipment, fluorescent photoscope
(Fluoroscopy), mammogram (Mammography) equipment etc..
Fig. 1 is the basic composite structural diagram of existing medical x-ray image documentation equipment.As shown in Figure 1, medical x-ray image documentation equipment
Mainly include：One X-ray line generating device 11, an imaging device 12 and an operation and display equipment 13.Wherein, X-ray line fills
Setting 11 mainly includes：One controller 111, a high pressure generator 112, a bulb 113 and a beam-defining clipper (collimator) 114；
Imaging device 12 mainly includes：One X-ray detector 121 and an image processing apparatus 122；Operation and display equipment 13 are mainly wrapped
It includes：One display equipment 131 and a station 132.In the work of medical x-ray image documentation equipment, patient 15 is located at X-ray line generating device
Between 11 and imaging device 12；Doctor sets exposure parameter by station 132 and issues operational order；Controller 111 receives
Exposure parameter and operational order from station 132, set the exposure parameter of high pressure generator 112, to high pressure
Raw device 112 and beam-defining clipper 114 simultaneously issue instruction, so that bulb 113 launches the x-ray 14 of some strength within the time for exposure；Limit
Beam device 114 is adjacent with bulb 113, so that the x-ray 14 that bulb 113 issues is radiated patient by the limit beam hole of beam-defining clipper 114
15 appointed part；X-ray 14 penetrates the appointed part of patient 15 and reaches X-ray detector 121, and X-ray detector 121 will be felt
The X-ray intensity that should be arrived is converted into electric signal and exports to image processing component 122；Image processing apparatus 122 is to receiving
Electric signal is further processed generation medical image；Show that equipment 131 shows the medicine figure generated of image processing apparatus 122
Picture.Wherein, consider for x-ray radiation dosage for reducing patient 15 etc., beam-defining clipper 114 also has photochopper, which is located at
It limits on beam hole, the partial region of limit beam hole can be blocked to reduce the radiation areas of x-ray 14.
Wherein, image processing apparatus 122 can also be divided using image automatically according to demand after obtaining initial medical image
Algorithm is cut to do image segmentation (image cropping) processing to medical image.By image dividing processing, initial medicine figure
It can be divided as in by medical diagnosis unwanted pictures such as the images in region of photochopper covering, more to be met medicine
Diagnose the medical image needed.
Specifically, the Image Automatic Segmentations such as Image Edge-Detection and line detection algorithm can be used in image processing apparatus 122
Algorithm represents several cut-off rules on photochopper boundary, typically no more than four cut-off rules to determine in medical image, by each point
Image other than secant is cut off from medical image, can fall the projection localization of photochopper in medical image, obtains medicine
Diagnose the image needed.But for certain medical x-ray image documentation equipments, image processing apparatus 122 can not be obtained such as
Beam hole size, bulb are limited to hardware informations such as the distances of radiation target, so it is obtained using Image Automatic Segmentation algorithm
Picture quality is unsatisfactory.For example, some or all of region of anatomy image is divided in some images, in some images also
Show the projection of many photochoppers.
In conclusion the Image Automatic Segmentation technology of existing medical x-ray image documentation equipment could be improved.
Summary of the invention
It is set in view of this, the embodiment of the present invention proposes a kind of medical image processing method, device and medical x-ray image
It is standby, the picture quality of medical image can be improved.
The embodiment of the present invention proposes a kind of medical image processing method, and this method is applied to medical x-ray image documentation equipment, should
A beam-defining clipper with limit a beam hole and a photochopper is included at least in X-ray line generating device in equipment, this method includes：Benefit
At least one be distributed in a medical image, which is obtained, with Image Edge-Detection and line detection algorithm represents the photochopper boundary
Image cut-off rule；This method further includes：For every cut-off rule, the image data inside and outside the cut-off rule is divided
Analysis is to judge whether the cut-off rule passes through the image of the region of anatomy, if it is determined that the cut-off rule passes through the image of the region of anatomy,
Then cancel the cut-off rule；Fall the image other than remaining each cut-off rule from segmentation in the medical image.Using the method, energy
Further screening is done to the cut-off rule that Image Edge-Detection and line detection algorithm obtain, the quality of medical image can be improved.
In an embodiment of the present invention, the above-mentioned image for judging the cut-off rule and whether passing through the region of anatomy, including with down toward
One item missing：Judge whether the cut-off rule passes through the image of direct exposure region, if so, determining that the cut-off rule passes through the anatomy portion
The image of position；Judge whether the brightness of the image other than the cut-off rule is higher than the brightness of the image within the cut-off rule, if so,
Determine that the cut-off rule passes through the image of the region of anatomy；And judge from from the cut-off rule inboard boundary on the outside of the cut-off rule
Whether image border intensity does not reduce suddenly, if so, determining that the cut-off rule passes through the image of the region of anatomy.This embodiment
Cut-off rule can be screened based on factors such as direct exposure region, brightness and/or edge strengths, it is easy to accomplish.
In an embodiment of the present invention, above-mentioned that the image data inside and outside the cut-off rule is carried out for every cut-off rule
Analysis is specifically included with judging whether the cut-off rule passes through the image of the region of anatomy：For every cut-off rule, the cut-off rule is judged
The image for whether passing through direct exposure region, if so, cancelling the cut-off rule；For remaining every cut-off rule, the segmentation is judged
Whether the brightness of the image other than line is higher than the brightness of the image within the cut-off rule, if so, cancelling the cut-off rule；And it is directed to
Remaining every cut-off rule judges whether do not dash forward to the image border intensity on the outside of the cut-off rule from from the cut-off rule inboard boundary
It so reduces, if so, cancelling the cut-off rule.This embodiment can be further reduced calculating using screening technique from thick to thin
Amount improves image segmentation efficiency.
The embodiment of the present invention also proposed a kind of medical image processing devices, which is applied to medical x-ray image documentation equipment,
A beam-defining clipper with limit a beam hole and a photochopper is included at least in X-ray line generating device in the equipment, which includes：
First module is obtained using Image Edge-Detection and line detection algorithm described at least one representative being distributed in a medical image
The cut-off rule of the image on photochopper boundary；Second module, for every cut-off rule that first module obtains, to the cut-off rule
Inside and outside image data analyzed to judge whether the cut-off rule passes through the image of the region of anatomy, if it is determined that the cut-off rule
Across the image of the region of anatomy, then cancel the cut-off rule；Third module, segmentation is fallen by described from the medical image
Image after second resume module other than remaining each cut-off rule.Using the device, Image Edge-Detection and straight line can be examined
The cut-off rule that method of determining and calculating obtains does further screening, can improve the quality of medical image.
In an embodiment of the present invention, second module includes the first submodule, second submodule and third submodule
At least one of；First submodule, for first module obtain every cut-off rule or for pass through described in
Every remaining cut-off rule, judges whether the cut-off rule passes through directly after second submodule and/or third submodule processing
The image of exposure region, if so, cancelling the cut-off rule；The second submodule, every point obtained for first module
Secant or for remaining every cut-off rule, judgement after first submodule and/or third submodule processing
Whether the brightness of the image other than the cut-off rule is higher than the brightness of the image within the cut-off rule, if so, cancelling the cut-off rule；
And the third submodule, for first module obtain every cut-off rule or for pass through first submodule
And/or remaining every cut-off rule after second submodule processing, judge whether do not occur from the cut-off rule inboard boundary
Image border intensity on the outside of to the cut-off rule reduces suddenly, if so, cancelling the cut-off rule.This embodiment can be based on direct
The factors such as exposure region, brightness and/or contrast screen cut-off rule, it is easy to accomplish.
The embodiment of the present invention also proposed a kind of medical x-ray image documentation equipment, include at least：One X-ray line generating device and one
Imaging device, wherein the X-ray line generating device includes at least a beam-defining clipper with limit a beam hole and a photochopper, described
Imaging device includes at least aforementioned any medical image processing devices.Using medical x-ray image documentation equipment, image border can be examined
The cut-off rule that survey and line detection algorithm obtain does further screening, can improve the quality of medical image.
Correspondingly, the embodiment of the present invention also proposed a kind of machine readable storage medium, store for making a machine
Execute the instruction of any of the above medical image processing method.
Correspondingly, the embodiment of the present invention also proposed a kind of computer program, wherein when the computer program is run on
A machine is set to execute any of the above medical image processing method when in one machine.
As can be seen that being set using method, apparatus provided by the embodiment of the present invention and medical x-ray image from above scheme
Standby, the cut-off rule that can be obtained to Image Edge-Detection and line detection algorithm does further screening, can improve the matter of medical image
Amount.
Detailed description of the invention
Fig. 1 is the basic composite structural diagram of existing medical x-ray image documentation equipment.
Fig. 2 is the flow chart schematic diagram of the medical image processing method of an embodiment according to the present invention.
Fig. 3 is the idiographic flow schematic diagram that cut-off rule is screened in one embodiment of the invention.
Fig. 4 a~4c shows screening one example of cut-off rule.
Fig. 5 a and 5b show screening one example of cut-off rule.
Fig. 6 a~6c shows screening one example of cut-off rule.
Fig. 7 a~7c shows Kirsch curve graph used in screening one example of cut-off rule.
Fig. 8 is the structural schematic diagram of the medical image processing devices of an embodiment according to the present invention.
Wherein, appended drawing reference is as follows：
11-X light generating device 12- imaging device 13- operation and display equipment 14-X line 15- patient 111- control
Device 112- high pressure generator 113- bulb 114- beam-defining clipper 121-X ray detector 122- image processing component 131- processed
Show equipment 132- station
At least one cut-off rule 202- being distributed on 201- acquisition medical image analyzes the image inside and outside each cut-off rule
Data, the cut-off rule 203- for cancelling the image across the region of anatomy fall other than remaining each cut-off rule from segmentation in medical image
Image
301- is directed to every cut-off rule, judges whether the cut-off rule passes through direct exposure region, if so, cancelling the cut-off rule
302- is directed to remaining every cut-off rule, judges whether the brightness of the image other than the cut-off rule is higher than the figure within the cut-off rule
The brightness of picture judges from the cut-off rule inboard boundary if so, cancelling cut-off rule 303- for remaining every cut-off rule
Whether the image border intensity on the outside of to the cut-off rule does not reduce suddenly, if so, cancelling the cut-off rule
401~404- cut-off rule
501~504- cut-off rule
601~604- cut-off rule 605~606- coordinate line
The edge intensity value computing 703- cut-off rule at edge intensity value computing 702- cut-off rule 603 at 701- cut-off rule 602
Edge intensity value computing at 604
801- the first module 802- the second module 803- third module 8021- the first submodule the second submodule of 8022-
Block 8023- third submodule
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, by the following examples to of the invention further detailed
It describes in detail bright.
The embodiment of the invention provides a kind of medical image processing method, this method is applied to medical x-ray shadow shown in FIG. 1
As equipment.As shown in Fig. 2, this method comprises the following steps：
Step 201：At least one be distributed in a medical image is obtained using Image Edge-Detection and line detection algorithm
Represent the cut-off rule of the image on photochopper boundary.
Step 202：For every cut-off rule, the image data inside and outside the cut-off rule is analyzed to judge this point
Whether secant passes through the image of the region of anatomy, if it is determined that the cut-off rule passes through the image of the region of anatomy, then cancels the segmentation
Line.
Step 203：Fall the image other than remaining each cut-off rule from segmentation in the medical image.
In one embodiment, the image processing apparatus 122 in medical x-ray image documentation equipment is generating initial medical image
At least one segmentation being distributed on the medical image is obtained using existing Image Edge-Detection and line detection algorithm afterwards
Then line executes step 202 and 203 again and completes the screening and image segmentation of cut-off rule.
In embodiments of the present invention, in, step 202 can be executed according to any one of following three or any combination：
1) judge whether a certain cut-off rule passes through the image of direct exposure region, if the cut-off rule passes through the figure of direct exposure region
Picture then determines that the cut-off rule passes through the image of the region of anatomy, and cancels the cut-off rule；
2) judge whether the brightness of the image other than a certain cut-off rule is higher than the brightness of the image within the cut-off rule, if should
The brightness of image other than cut-off rule is higher than the brightness of the image within the cut-off rule, then determines that the cut-off rule passes through the region of anatomy
Image, and cancel the cut-off rule；
3) judge whether do not drop suddenly from a certain cut-off rule inboard boundary to the image border intensity on the outside of the cut-off rule
It is low, if so, determining that the cut-off rule passes through the image of the region of anatomy, and cancel the cut-off rule.
Wherein, the embodiment of the present invention do not limit it is above-mentioned items execute sequence.Such as：If according to the 1) and 2) item hold
Row step 202, the then every cut-off rule that can be obtained for step 201 execute the 1) item, then remaining each item are divided
Line executes the 2) item；Alternatively, the every cut-off rule that can be obtained for step 201 executes the 2) item, then for remaining each
Article cut-off rule executes the 1) item.
In an embodiment of the present invention, step 202 is executed according to above three, specific process flow is referring to Fig. 3.
Step 301：For every cut-off rule that step 201 obtains, judge whether the cut-off rule passes through direct exposure region
Image, if so, cancelling the cut-off rule.
Step 302：For remaining every cut-off rule after step 301 processing, the image other than the cut-off rule is judged
Brightness whether be higher than the brightness of the image within the cut-off rule, if so, cancelling the cut-off rule.
Step 303：For remaining every cut-off rule after step 302 processing, judge from the cut-off rule inboard boundary
Locate whether the image border intensity on the outside of the cut-off rule does not reduce suddenly, if so, cancelling the cut-off rule.
Below in conjunction with the medical image that medical x-ray image documentation equipment is shot, to above-mentioned 1) to the specific processing of 3) item
Method is described in detail.
Above-mentioned 1) item may particularly include following processing：
Step a1：Binary conversion treatment is carried out to medical image.
Step a2：According to the medical image Jing Guo step a1 binary conversion treatment, judge be in pixel that the cut-off rule passes through
The no pixel for being 255 including gray value.
Step a3：If in the pixel that the cut-off rule passes through including the pixel that gray value is 255, it is determined that the cut-off rule passes through
The image of direct exposure region.
For the processing of the above-mentioned 1) item, Fig. 4 a~4c shows three width medical images.Fig. 4 a is according to conventional images side
The initial medical image of a width that edge detection and line detection algorithm obtain, there is four cut-off rules 401~404 respectively thereon.Fig. 4 b
For the image obtained after the binary conversion treatment of step a1 to Fig. 4 a.In fig. 4b, there are two types of the pixel of gray scale value, packets
It includes：The pixel (showing white) that the pixel (showing black) and gray value that gray value is 0 are 255.It here, can be according to preparatory
The pixel threshold of setting carries out binary conversion treatment, and the gray value for being up to the pixel of the threshold value is set as 255, will be less than the threshold value
The gray value of pixel is set as 0.In this way, the pixel that gray value is 255 can mark the boundary of direct exposure region, and then by sentencing
It whether include that the pixel that gray value is 255 can judge whether the cut-off rule passes through directly in the pixel that a certain cut-off rule passes through of breaking
Exposure region.Fig. 4 c is that the medical image of the binaryzation according to shown in Fig. 4 b is split the image obtained after line screening, wherein on
The cut-off rule 402 and 404 across direct exposure region on lower both sides is cancelled, and only remains 401 He of cut-off rule of the right and left
403。
For the processing of the above-mentioned 2) item, Fig. 5 a and 5b show two width medical images.Fig. 5 a is according to conventional images side
The initial medical image of a width that edge detection and line detection algorithm obtain, there is four cut-off rules 501~504 respectively thereon.For
Every cut-off rule calculates the average gray of image in certain area inside and outside the cut-off rule, judges one other than the cut-off rule
Whether the average gray for determining image in region is higher than the average gray of image in certain area within the cut-off rule.If certain
The gray scale that the average gray of image is higher than image in certain area within the cut-off rule in certain area other than cut-off rule is averaged
Value, it is determined that the brightness of the image other than the cut-off rule is higher than the brightness of the image within the cut-off rule, and cancels the segmentation
Line.As shown in Figure 5 b, by the processing of the above-mentioned 2) item, the average gray of image in the outside certain area of cut-off rule 504
Higher than the average gray of image in its inside certain area, therefore, cut-off rule 504 is cancelled, and is left three cut-off rules 501
~503.
For the processing of the above-mentioned 3) item, Fig. 6 a~6c shows three width medical images.Fig. 6 a is according to conventional images side
The initial medical image of a width that edge detection and line detection algorithm obtain, there is four cut-off rules 601~604 respectively thereon.Fig. 6 b
To perform the above-mentioned the width medical image 1) and 2) obtained after item processing to initial medical image, wherein 601 quilt of cut-off rule
Cancel, remaining three cut-off rules 602~604.The medical image that Fig. 6 c is Fig. 6 b executes the above-mentioned the doctor 3) obtained after item processing
Learn image, wherein cut-off rule 603 is cancelled, remaining two cut-off rules 602 and 604.Wherein, for every segmentation in Fig. 6 b
Line calculates the edge strength of each designated position pixel inside and outside the cut-off rule, judges neighbouring segmentation on the inside of the cut-off rule
Whether the edge strength of the position pixel of line is significantly higher than the edge strength of each position pixel on the outside of the cut-off rule, if the segmentation
The edge strength of the position pixel of the neighbouring cut-off rule is not significantly higher than each position pixel on the outside of the cut-off rule on the inside of line
Edge strength, it is determined that it is not reduced suddenly from the cut-off rule inboard boundary to the image border intensity on the outside of the cut-off rule, into
And cancel the cut-off rule.
In an example, above-mentioned 3) item processing can be executed using Kirsch curve.Fig. 7 a~7c shows emulation
The respective Kirsch curve of three cut-off rules 602~604 in obtained Fig. 6 b.Wherein, the abscissa of Kirsch curve represents
Location of pixels, ordinate represent edge strength, and Kirsch curve can be calculated using Kirsch operator and be obtained, and specific method belongs to existing
Technology scope, repeats no more herein.Two lines 605 and 606 on Fig. 6 a and 6b are the coordinate where each designated position pixel
Line.Fig. 7 a shows the Kirsch curve of cut-off rule 602, presents the intersection on coordinate line 605 from coordinate line 605 and 606
Point starts the edge strength variation tendency of each designated position pixel in the upward direction.Fig. 7 b shows cut-off rule 603
Kirsch curve presents on coordinate line 606 since the crosspoint of coordinate line 605 and 606 along each finger in direction to the right
The edge strength variation tendency of pixel is set in positioning.Fig. 7 c shows the Kirsch curve of cut-off rule 604, presents coordinate line
The edge strength variation of each designated position pixel becomes in a downward direction since the crosspoint of coordinate line 605 and 606 on 605
Gesture.As can be seen that there is edge strength to each position on the outside of cut-off rule from cut-off rule inboard boundary in Fig. 7 a and 7c
Unexpected reduction, and in Fig. 7 b, to each position on the outside of cut-off rule from cut-off rule inboard boundary, edge strength is slowly to drop
Low, therefore, the corresponding cut-off rule 603 of Fig. 7 b should be cancelled.
Based on above method embodiment, the embodiment of the present invention also proposed a kind of medical image processing devices, which answers
For medical x-ray image documentation equipment shown in FIG. 1.As shown in figure 8, the device includes：First module 801, the second module 802 and
Three modules 803.Wherein, the first module 801 is obtained in a medical image using Image Edge-Detection and line detection algorithm and is distributed
At least one represent the photochopper boundary image cut-off rule；Second module 802 obtains every for the first module 801
Cut-off rule, analyzes the image data inside and outside the cut-off rule to judge whether the cut-off rule passes through the region of anatomy
Image then cancels the cut-off rule if it is determined that the cut-off rule passes through the image of the region of anatomy；Third module 803 is from the medicine
The image other than remaining each cut-off rule after the processing of the second module 802 is fallen in segmentation in image.
In one embodiment, the second module 802 includes：First submodule 8021, second submodule 8022 and third
Any of module 8023 or any combination.Wherein, every segmentation that the first submodule 8021 is obtained for the first module 801
Line or for remaining every cut-off rule after second submodule 8022 and/or third submodule 8023 are handled, judgement should
Whether cut-off rule passes through the image of direct exposure region, if so, cancelling the cut-off rule；Second submodule 8022, for the first mould
The every cut-off rule or be directed to remaining after the first submodule 8021 and/or third submodule 8023 are handled that block 801 obtains
Every cut-off rule, judge whether the brightness of the image other than the cut-off rule is higher than the brightness of the image within the cut-off rule, if
It is then to cancel the cut-off rule；Third submodule 8023, for the first module 801 obtain every cut-off rule or for pass through
First submodule 8021 and/or second submodule 8022 every cut-off rule remaining after handling, judge whether do not occur from this point
It is reduced suddenly at secant inboard boundary to the image border intensity on the outside of the cut-off rule, if so, cancelling the cut-off rule.
From the above description, it can be seen that the embodiment of the present invention does not limit the first submodule 8021,8022 and of second submodule
Connection relationship between third submodule 8023.Any combination in these three modules 8021,8022 and 8023 can be in parallel, i.e.,
Every cut-off rule for respectively obtaining the first submodule 801 is all connect with the first submodule 801 respectively to screen.These three moulds
Any combination in block 8021,8022 and 8023 can also connect, i.e. some submodule 8021,8022 or 8023 and the first son
The connection of module 801 is screened with the every cut-off rule first obtained to the first submodule 801, then the connected submodule of the submodule
Block again screens cut-off rule remaining after screening, and so on.
In an embodiment of the present invention, the second module 802 includes the first submodule 8021, second submodule 8022 and third
Submodule 8023, and these three submodules are connected, and the first submodule 8021 is connect first to the first son with the first submodule 801
Every cut-off rule that module 801 obtains is screened, and then second submodule 8022 is again to surplus after the screening of the first submodule 8021
Remaining cut-off rule is screened, and remaining cut-off rule sieves after last third submodule 8023 screens second submodule 8022
Choosing.
Based on apparatus above embodiment, the embodiment of the present invention also proposed a kind of medical x-ray image documentation equipment, include at least：
One X-ray line generating device 11 and an imaging device 12, wherein the X-ray line generating device 11 includes at least one with a limit beam
The beam-defining clipper 114 in hole and a photochopper, the image processing apparatus 122 in the imaging device 12 include at least any of the above-described kind of doctor
Learn image processing apparatus.
The present invention also provides a kind of machine readable storage medium, storage is as described herein for executing a machine
The instruction of medical image processing method.Specifically, system or device equipped with storage medium can be provided, in the storage medium
On store the software program code for realizing the function of any embodiment in above-described embodiment, and make the meter of the system or device
Calculation machine (or CPU or MPU or MCU) reads and executes the program code being stored in a storage medium.
In this case, it is real that any one of above-described embodiment can be achieved in the program code itself read from storage medium
The function of example is applied, therefore the storage medium of program code and storage program code constitutes a part of the invention.
Storage medium embodiment for providing program code include floppy disk, hard disk, magneto-optic disk, CD (such as CD-ROM,
CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), tape, non-volatile memory card and ROM.Selectively,
Can by communication network from server computer download program code.
Further, it should be apparent that not only can be by executing program code read-out by computer, but also can pass through
Operating system for calculating hands- operation etc. is set to complete partly or completely practical operation based on the instruction of program code, thus
Realize the function of any one of above-described embodiment embodiment.
Further, it is to be appreciated that the program code read by storage medium is write the expansion board in insertion computer
In in set memory or write in the memory being arranged in the expanding element being connected to a computer, be then based on journey
The instruction of sequence code makes the CPU etc. being mounted on expansion board or expanding element come execution part and whole practical operations, thus
Realize the function of any embodiment in above-described embodiment.
The embodiment of the present invention proposes a kind of medical image processing method, and this method includes：Using Image Edge-Detection and
Line detection algorithm obtains the cut-off rule that at least one be distributed in a medical image represents the image on photochopper boundary；For every
Cut-off rule, analyzes the image data inside and outside the cut-off rule to judge whether the cut-off rule passes through the region of anatomy
Image then cancels the cut-off rule if it is determined that the cut-off rule passes through the image of the region of anatomy；Divide from the medical image
Fall the image other than remaining each cut-off rule.The embodiment of the present invention also proposed a kind of corresponding image processing apparatus, medicine X
Line image documentation equipment.Using the embodiment of the present invention, the quality of medical image can be improved.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (7)
1. a kind of medical image processing method, this method is applied to medical x-ray image documentation equipment, and the X-ray line in the equipment fills
It sets and includes at least a beam-defining clipper (114) with limit a beam hole and a photochopper in (11), this method includes：
At least one be distributed in a medical image, which is obtained, using Image Edge-Detection and line detection algorithm represents the shading
The cut-off rule (201) of the image on device boundary；
It is characterized in that, this method further includes：
For every cut-off rule, the image data inside and outside the cut-off rule is analyzed to judge whether the cut-off rule passes through
The image of the region of anatomy then cancels the cut-off rule (202) if it is determined that the cut-off rule passes through the image of the region of anatomy；
Fall the image (203) other than remaining each cut-off rule from segmentation in the medical image；
Wherein, described to be directed to every cut-off rule, the image data inside and outside the cut-off rule is analyzed to judge the segmentation
Whether line passes through the image of the region of anatomy, if it is determined that the cut-off rule passes through the image of the region of anatomy, then cancels the cut-off rule
(202), including：
For every cut-off rule, judge whether the cut-off rule passes through the image of direct exposure region, if so, cancelling the cut-off rule
(301)；
For remaining every cut-off rule, judge whether the brightness of the image other than the cut-off rule is higher than the figure within the cut-off rule
The brightness of picture, if so, cancelling the cut-off rule (302)；And
For remaining every cut-off rule, judge be to the picture contrast on the outside of the cut-off rule from from the cut-off rule inboard boundary
No not unexpected reduction, if so, cancelling the cut-off rule (303).
2. according to the method described in claim 1, wherein, the image for judging the cut-off rule and whether passing through direct exposure region
(301), including：
Binary conversion treatment is carried out to the medical image；
According to the medical image Jing Guo the binary conversion treatment, judge in pixel that the cut-off rule passes through whether to include gray scale
The pixel that value is 255；
If in the pixel that the cut-off rule passes through including the pixel that gray value is 255, it is determined that the cut-off rule passes through direct exposure region
Image.
3. according to the method described in claim 1, wherein, whether the brightness for judging the image other than the cut-off rule is higher than this
The brightness (302) of image within cut-off rule, including：
Calculate the average gray of image in certain area inside and outside the cut-off rule；
Judge whether the average gray of image in certain area other than the cut-off rule is higher than within the cut-off rule in certain area
The average gray of image；
If the average gray of image is higher than within the cut-off rule image in certain area in certain area other than the cut-off rule
Average gray, it is determined that the brightness of the image other than the cut-off rule is higher than the brightness of the image within the cut-off rule.
4. according to the method described in claim 1, wherein, the judgement is from the cut-off rule inboard boundary to cut-off rule outside
Image border intensity whether suddenly reduce (303), including：
Calculate the edge strength of each designated position pixel inside and outside the cut-off rule；
Judge whether the edge strength of the position pixel of the neighbouring cut-off rule on the inside of the cut-off rule is significantly higher than on the outside of the cut-off rule
The edge strength of each position pixel；
If the edge strength of pixel is not significantly higher than on the outside of the cut-off rule on the position of the neighbouring cut-off rule on the inside of the cut-off rule
The edge strength of each position pixel, it is determined that the image border intensity on the outside of the cut-off rule from the cut-off rule inboard boundary
Do not reduce suddenly.
5. a kind of medical image processing devices, which is applied to medical x-ray image documentation equipment, and the X-ray line in the equipment fills
It sets and includes at least a beam-defining clipper (114) with limit a beam hole and a photochopper in (11), which includes：
First module (801) obtains at least one be distributed in a medical image using Image Edge-Detection and line detection algorithm
Item represents the cut-off rule of the image on the photochopper boundary；
Second module (802), for every cut-off rule that first module (801) obtains, inside and outside the cut-off rule
Image data is analyzed to judge whether the cut-off rule passes through the image of the region of anatomy, if it is determined that the cut-off rule passes through the solution
The image at position is cutd open, then cancels the cut-off rule；
Third module (803) is fallen remaining each after second module (802) processing from segmentation in the medical image
Image other than cut-off rule；
Wherein, second module (802) includes the first submodule (8021), second submodule (8022) and third submodule
At least one of (8023)；
First submodule (8021), for first module (801) obtain every cut-off rule or for pass through institute
Remaining every cut-off rule after second submodule (8022) and/or the third submodule (8023) processing is stated, judges the segmentation
Whether line passes through the image of direct exposure region, if so, cancelling the cut-off rule；
The second submodule (8022), for first module (801) obtain every cut-off rule or for pass through institute
Remaining every cut-off rule after the first submodule (8021) and/or the third submodule (8023) processing is stated, judges the segmentation
Whether the brightness of the image other than line is higher than the brightness of the image within the cut-off rule, if so, cancelling the cut-off rule；And
The third submodule (8023), for first module (801) obtain every cut-off rule or for pass through institute
Remaining every cut-off rule after the first submodule (8021) and/or the second submodule (8022) processing is stated, is judged from this point
Whether do not reduced suddenly at secant inboard boundary to the image border intensity on the outside of the cut-off rule, if so, cancelling the cut-off rule.
6. a kind of medical x-ray image documentation equipment, includes at least：One X-ray line generating device (11) and an imaging device (12), wherein
The X-ray line generating device (11) includes at least a beam-defining clipper (114) with limit a beam hole and a photochopper, the imaging dress
(12) are set including at least medical image processing devices described in claim 5.
7. a kind of machine readable storage medium, storage is for executing a machine according to claim 1 to described in 4 any one
Medical image processing method instruction.
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