CN105844687B - Device and method for handling medical image - Google Patents
Device and method for handling medical image Download PDFInfo
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- CN105844687B CN105844687B CN201610214578.6A CN201610214578A CN105844687B CN 105844687 B CN105844687 B CN 105844687B CN 201610214578 A CN201610214578 A CN 201610214578A CN 105844687 B CN105844687 B CN 105844687B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
- G06T2200/04—Indexing scheme for image data processing or generation, in general involving 3D image data
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
- G06T2200/08—Indexing scheme for image data processing or generation, in general involving all processing steps from image acquisition to 3D model generation
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Abstract
The present invention relates to a kind of for handling the device of medical image comprising: medical image obtains module；First VOI forms module, forms the first VOI of the first dimension along the medical image；2nd VOI forms module, forms the 2nd VOI of the second dimension along the medical image；Wherein, the 2nd VOI forms module and automatically forms the 2nd VOI based on the first VOI.The invention further relates to a kind of methods for handling medical image.
Description
Technical field
The present invention relates to Medical Imaging Technologies, more particularly, to handle the device and method of medical image.
Background technique
The development of modern medicine image provides the image data of a large amount of practical dissections and function etc. for clinic, into
And have become the indispensable a part of modern medical service.Currently, the application of medical image runs through entire clinical position, not only
Be widely used for medical diagnosis on disease, and in the plan design of surgical operation and radiotherapy etc., scheme implements and curative effect evaluation
Etc. many aspects play an important role.
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, portion.Since X-ray invention, the development of Medical Imaging Technology probably experienced three
Stage: structure imaging, functional imaging and molecular image.Briefly, functional image includes the images such as SPECT, PET, fMRI,
The record by imaging information of cell metabolism.Whether whether the metabolism that functional image can embody cell is normal, or have abnormal
Metabolic cost increases or lowers.Abnormal metabolic cost indicates that the physiological activity of cell changes, or there may be certain diseases.
Structure image includes the images such as CT, X-ray, the record by imaging anatomical structure of organization internal.Structure image embodies dissection knot
The information of structure shows the structure change whether having physically, so as to the variation physically such as discovery fracture, occupy-place.Point
Sub-image shows the specific molecular of tissue level, cell and subcellsular level with the means of iconography, reflects under condition of living organism
Molecular level change, so as to carrying out qualitative and quantitative study in terms of image to its biological behaviour.
It inside each organ of human body, is made of independent functive one by one, different subfunction areas can be divided into,
Different subfunction areas have different metabolic costs.For this purpose, when carrying out processing analysis to functional image, many times only to image
In certain part it is interested, the area-of-interest in Medical Imaging be known as ROI (Region Of Interest).In order to right
The area-of-interest is tracked, and to obtain target signature, is usually drawn out in medical image by specific software
ROI.In other words, region of interest ROI is the image-region selected from medical image, this region is image analysis
The emphasis of concern.Drawing a circle to approve the region is to be further processed to medical image.
However, in the research of image, in addition to the area-of-interest in image to be seen in a certain plane, it is also necessary to determine
Voxel interested (VOI, volume of interest) in three dimensions.Voxel VOI interested is exactly in 3-dimensional image
Local volume, which corresponds to a sub- mac function of human body.If necessary to three-dimensional medical image region
It is analyzed, then needs to extract three-dimensional voxel VOI interested in three-dimensional medical image.In order to draw VOI, current
Common method is first by a three-dimensional medical image along selected dimension direction (such as cross section, coronal-plane, sagittal
Face) multiple faultage images with uniform thickness are cut into, corresponding ROI is then drawn out on each faultage image respectively.
When will draw respectively the faultage image of ROI according to original laminated structure together when, multiple ROI limit a three-dimensional
VOI.
But for some subfunction regions, it is more likely that foot can not be obtained on the VOI along selected dimension drafting
Enough information, and then from needing further to come from other visual angles and analyze the feature in the subfunction region.For this reason, it may be necessary to edge
Other dimensions further draw the VOI in relation to the subfunction region.That is, if it is desired to the image of comprehensive multiple dimensions
Feature integrally understands the information in the subfunction region, then needs to draw multiple VOI along multiple dimensions respectively.
Although the method for the prior art can satisfy actual needs in certain degree, its disadvantage is also very
Significantly.Firstly, the VOI drafting of the prior art is relatively time-consuming.Due to every VOI drawn along a dimension, require to exist first
ROI is drawn on multiple faultage images respectively, a VOI may correspond to the even more ROI of dozens of, so needing costly
Time and efforts could complete needed for multiple dimensions VOI draw.This is a very time-consuming and laborious process, and then is caused
The processing of medical image and analytic process become very very long.This will hugely increase diagnosis cost, and be unfavorable for timely and effective
Diagnosing and treating is implemented to ground to patient.Secondly, multiple VOI accuracy that the prior art is drawn are relatively low.As previously mentioned, by
In every VOI drawn along a dimension, require to draw ROI respectively on multiple faultage images first, and ROI is usually with people
The mode of work, which is sketched out with experience, to be come, and due to experience or manually-operated inevitable fault, is delineated
ROI out may not be able to accurately embody the actual conditions in objective function region, so as to cause being drawn in one dimension
The VOI of the system and VOI drawn in another dimension is not consistent or even error is very big, after this will necessarily be negatively affected
The analytic process of phase and the accuracy of result, and then influence final diagnostic result accuracy and therapeutic effect.
For this purpose, in the art there is still a need for a kind of for handling the technology of medical image, it is especially a kind of for drawing
The technology of VOI can effectively improve the effect of drafting when drawing the VOI of multiple dimensions for the same subfunction region
Rate and accuracy to improve the accuracy of the medical image analysis processing in later period, and then improve the accuracy of last diagnostic result
And therapeutic effect.
Summary of the invention
One aspect of the present invention provides a kind of for handling the device of medical image, comprising:
Medical image obtains module；
First VOI forms module, forms the first VOI of the first dimension along the medical image；
2nd VOI forms module, forms the 2nd VOI of the second dimension along the medical image；
Wherein, the 2nd VOI forms module and automatically forms the 2nd VOI based on the first VOI；
Wherein, the first VOI formation module includes:
First faultage image acquisition submodule obtains multiple first dimensions along first dimension of the medical image
Spend faultage image；
First ROI rendering submodule draws ROI on each first dimension faultage image；
Assignment submodule is in the region in ROI and outside ROI on each first dimension faultage image
Region assign first property value and the second attribute value respectively；
First fault combination submodule has all first dimension faultage images of ROI according to original for drawing respectively
Laminated structure together when, to form the first dimension VOI for being limited by multiple ROI.
According to one embodiment, the 2nd VOI forms module and includes:
Second faultage image acquisition submodule obtains multiple second dimensions along second dimension of the medical image
Spend faultage image；
Attribute value region display sub-module is shown automatically on each second dimension faultage image with institute
State the boundary line between the region of first property value and the region with second attribute value；
Second fault combination submodule will show all second dimension faultage images in the boundary line according to original respectively
Some laminated structures together when, to form the second dimension VOI for being limited by the boundary line.
According to another embodiment, the 2nd VOI forms module and includes:
Second faultage image acquisition submodule obtains multiple second dimensions along second dimension of the medical image
Spend faultage image；
2nd ROI rendering submodule, according to the attribute value of each region on each second dimension faultage image,
It is shown automatically by the boundary line between the region with the first property value and the region with second attribute value
ROI；
Second fault combination submodule will show all second dimension faultage images of ROI according to original respectively
Laminated structure together when, to form the second dimension VOI for being limited by ROI.
Preferably, the first property value is 1, and second attribute value is 0.
Preferably, the medical image indicates the brightness count value of photographic or the size of intensity of brightness relative value.
Preferably, first dimension is cross section, coronal-plane or sagittal plane.
It is further, according to the present invention for handling the device of medical image further include:
Three-dimensional coordinate assignment module assigns D coordinates value to the medical image.
Further, the device according to the present invention for handling medical image may also include that
Smoothing processing submodule is smoothed the second dimension VOI.
Preferably, the medical image is SPECT, PET or fMRI image.
Another aspect of the present invention provides a kind of method for handling medical image, comprising:
Medical image is obtained, the medical image has the first dimension and the second dimension；
The first dimension VOI is drawn based on first dimension；
The second dimension VOI based on second dimension is automatically formed based on the first dimension VOI；
Wherein, the first dimension VOI of the drafting includes:
Obtain the first dimension faultage image along first dimension of the medical image；
ROI is drawn on the first dimension faultage image；
The is assigned respectively to the region on the first dimension faultage image in ROI and region outside ROI
One attribute value and the second attribute value；
Will respectively draw have the low latitudes faultage image of ROI according to original laminated structure together when, with formed by more
The first dimension VOI that a ROI is limited.
In a specific embodiment, the formation of the second dimension VOI includes the following steps:
Obtain the second dimension faultage image along second dimension of the medical image；
On each second dimension faultage image, the region with the first property value is shown automatically and is had
Boundary line between the region of second attribute value
The boundary line in the region with the first property value and the region with second attribute value will be shown respectively
All second dimension faultage images according to original laminated structure together when, with formed by the boundary line limit second dimension
Spend VOI.
In another specific embodiment, the formation of the second dimension VOI includes the following steps:
Obtain multiple second dimension faultage images along second dimension of the medical image；
According to the attribute value of each region on each second dimension faultage image, along with first attribute
Boundary line between the region of value and region with second attribute value shows ROI automatically；
To show respectively all second dimension faultage images of ROI according to original laminated structure together when, with shape
At the second dimension VOI limited by the boundary line.
According to the present invention, as long as drawing the VOI in a dimension, the VOI of any other dimension can be automatically generated.This makes
It obtains of the invention compared with prior art with clear advantage.It is possible, firstly, to which effectively save VOI draws the time.In the prior art
In, due to every VOI drawn along a dimension, require to draw ROI respectively on multiple faultage images first, a VOI can
The even more ROI of dozens of can be corresponded to, so multiple dimensions needed for needing costly time and efforts that could complete
The corresponding ROI of VOI is drawn, and then the processing of medical image and analytic process is caused to become very very long.This, which will hugely increase, examines
It is broken into this, and is unfavorable for timely and effectively implementing diagnosing and treating to patient.However, in the present invention, as long as due to drawing
VOI in one dimension can automatically generate the ROI of the corresponding each tomography of VOI of any other dimension, this allows to greatly
Amount ground is saved the time for drawing VOI, and then accelerates processing and the analysis efficiency of medical image, to implement in time to patient
Diagnosing and treating.Secondly, can effectively improve VOI draws accuracy.As previously mentioned, conventionally, as every drafting
Along the VOI of a dimension, require to draw ROI respectively on multiple faultage images first, and ROI is usually in a manual manner
It sketches out with experience and, due to experience or manually-operated inevitable fault, the ROI that sketches out
The actual conditions in objective function region may not be able to accurately be embodied, so as to cause the VOI that is drawn in one dimension and
The possible not consistent or even error of the VOI drawn in another dimension is very big, this will necessarily negatively affect point in later period
Analysis process and result accuracy, and then influence final diagnostic result accuracy and therapeutic effect.However, in the present invention, by
If in drawing the VOI in a dimension, the VOI in other dimensions be based on the VOI drawn with unique mapping mode from
Movable property life, so actual functional capability region shown between VOI is completely the same, farthest reduces and exist in the prior art
Because of deviation and mistake caused by operating error when repeatedly drawing the VOI on different dimensions respectively, effectively improves VOI and draw
The Efficiency and accuracy of system, improves the accuracy of the medical image analysis processing in later period, and then improves final diagnostic result
Accuracy and therapeutic effect.
Detailed description of the invention
Fig. 1 shows the schematic diagram of a medical image；
Fig. 2 to Fig. 5 shows the medical image schematic diagram as shown in Figure 1 for being endowed D coordinates value；
Fig. 6 shows multiple faultage images, schematically depicts ROI on one of faultage image；
Fig. 7 shows according to the present invention for handling the functional module of a specific embodiment of the device of medical image
Block diagram；
Fig. 8 shows according to the present invention for handling the function mould of another specific embodiment of the device of medical image
Block block diagram；
Fig. 9 shows according to the present invention for handling the flow chart element of a specific embodiment of the method for medical image
Figure.
Figure 10 shows according to the present invention for handling the process of another specific embodiment of the method for medical image
Block diagram.
Figure 11 shows the schematic diagram for drawing ROI in actual operation；
Figure 12 shows schematic diagram of the ROI shown in Figure 11 after smoothing processing.
Specific embodiment
Below with reference to attached drawing, by specific embodiment, the present invention will be further described.It should be understood that the following contents
Only for the explanation and illustration present invention, without the limitation of any aspect will be done to the present invention.
Herein, unless otherwise specified, term " on ", "lower", "left", "right", "front", "rear", " inner ",
"outside", " transverse direction ", " longitudinal direction ", " centre ", " lateral " etc. are the descriptions that orientation shown by the page of opposite attached drawing is done.
Herein, the use of term " first ", " second " etc. is just for the sake of distinguishing different component or step, with table
Show that these components or step are mutually indepedent, and cannot be used for explaining between these components or step there are related importance, order,
The restriction of position etc..
Medical image is structurally characterized in that 3D structure is made of multiple faultage images.Each faultage image has solid
Fixed thickness, multiple faultage image stack combinations, which are got up, forms a three-dimensional medical image.As shown in Figure 1, each is small
A tissue points in cube representative image, a medical image are made of multiple tissue points.The medical image can be
Various types of medical images, for example, functional image SPECT, PET, fMRI etc., the record by imaging information of cell metabolism,
Or structure image CT, X-ray etc., the record by imaging anatomical structure of organization internal can also be molecular image, but it is excellent
It is selected as functional image.The medical image can be shown as various attributive character, for example, destination organization density or display it is bright
Degree etc..
Referring to fig. 2-5, medical image shown in FIG. 1 is placed into three-dimensional coordinate, thus every individual in the medical image
Vegetarian refreshments all has corresponding three-dimensional coordinate (x, y, z).The purpose for assigning D coordinates value to medical image is to establish medicine shadow
The data matrix of picture, so as to use computer installation that medical image is further processed by the method for data processing
And analysis.
Carrying out computer disposal to medical image includes carrying out rebuilding to medical image and cutting again.The medical image
Reconstruction include, for example, the display properties or display effect etc. that change the voxel size of medical image, change medical image
Deng.The medical image cut again including, for example, cutting faultage image again in different thickness, so obtain have it is bigger
The faultage image of thickness or tomography figure with smaller thickness, to meet different processing and analysis needs.Medical image
It can be cut again according to different dimensions, and then obtain the faultage image of different dimensions.It includes cross-section for commonly cutting dimension again
Face, sagittal plane, coronal-plane, this is also the common dimension of medical field.Fig. 3, which is shown, carries out weight along coronal-plane dimension i.e. x-y plane
Medical image after cutting, is syncopated as three faultage images along coronal-plane dimension altogether, and each faultage image z-axis having the same is sat
Scale value.Fig. 4 show along cross section dimension i.e. x-z-plane cut again after medical image, be syncopated as three altogether along cross section
The faultage image of dimension, each faultage image y-axis coordinate value having the same.Fig. 5 is shown along sagittal plane dimension i.e. y-z plane
Medical image cut again after, is syncopated as three faultage images along sagittal plane dimension altogether, and each faultage image has identical
X-axis coordinate value.It will be appreciated why carry out the cross section, three dimensions of sagittal plane and coronal-plane are cut again, be because
It practices for such cutting with common human dissection consistent, still, can be cut completely according to other different dimensions
Point, to meet specific processing and analysis needs.In invention, the medical image is cut and is rebuild again using the prior art
Method and apparatus carry out, for example are disclosed in the Chinese patent of entitled " a kind of reconstruction of medical images method based on VTK "
Apply for CN201510346662.9, or is disclosed in the China of entitled " medical image two-dimensional process and three-dimensional reconstruction system " specially
Benefit application CN201310503694.6, content are included in herein by whole.
Show with continued reference to Fig. 6, be shown and rebuild and cut again multiple faultage images that processing obtains using medical image,
And a roughly triangular region of interest ROI is schematically depicted on one of faultage image.In the present invention
In, it needs one by one to draw corresponding ROI to all faultage images of medical image.Region of interest ROI is from medical image
One image-region of middle selection, the region correspond to the region or a functional areas of a specific organ in human body, the function
Area has the feature of specific physiology or structure etc., and then becomes medical image analysis emphasis of interest.Draw a circle to approve the area
Domain for example is tracked to the area-of-interest to be further processed to medical image, to obtain target signature.
The drafting of ROI can be realized with a variety of methods in the prior art.Its basic way is in display medicine
In the plane of image, mark lines according to the profile of area-of-interest, the lines represent area-of-interest and medical image its
The boundary of remaining part point.According to the lines sketched out, the processor connecting with display will be by described in the analysis of specific algorithm
Data portion in medical image corresponding to lines, and corresponding data are stored to subsequent processing.Suitable for drawing medicine
The disclosure of image ROI for example but not includes: the entitled " body painting of the automatic identification overlay structure based on bidimensional transmission function
The Chinese patent application CN201410097100.0 of method processed "；The Chinese patent application of entitled " image data reformatting "
CN201180019052.8；The Chinese patent application of entitled " image processing method and image processing apparatus "
CN201010163949.5；The China of entitled " for interacting with the efficient user of polygonal mesh for medical image segmentation " is specially
Benefit application CN200780026898.8；In entitled " image processing system, device, method and medical diagnostic imaging apparatus "
State patent application CN201210249759.4 etc., shown disclosure are integrally included in herein.
As an example, it but will not be used to generate any restrictions to the contents of the present invention, following algorithm can be used to extract
Area-of-interest:
Method one: using cvsetImageROI function cvsetImageROI (src, cvRect (x, y, width,
height)).Wherein x and y is the starting point of ROI region, and width and height are wide and height, after extracting area-of-interest to src,
It is handled when carrying out image procossing to src again just for the interested of extraction.Using will be to passing through when the function
CvResetImageROI () function discharges ROI, only compares to ROI region when otherwise handling image.
Method two: widthstep is used.Using CvRect, one area-of-interest CvRect interest_Rect is set
=cvRect (x, y, width, height)；A subgraph identical with source images attribute is created, size is area-of-interest
Size；
IplImage*src_img=cvCreateImageHeader (cvSize (interest_rect.width,
Interest_re ct.height), src- > depth, src- > nChannels) src_img- > origin=src- >
origin；
Set identical origin standard
Src_img- > widthstep=src- > widthstep；
Set identical widthstep
Set the data area of area-of-interest
Src_img- > imageData=src- > imageData+interest_rect.y*src- > widthstep+
interest_rect.x*src->nChannels；
This completes the extractions of area-of-interest, can handle the image data of src img, such as:
cvShowImage("ROI",src_img)；
Using widthstep, sub-region of interest is set, it, can be simultaneously to multiple sons in this way during image procossing
Region is handled, and ROI can only sequence progress, it is necessary to continuous setting and resetting ROI region, so using
Widthstep is more convenient, and processing is flexible.
In faultage image shown in Fig. 6, the ROI drawn is also endowed attribute value 1 and 0, and wherein attribute value 1 indicates
Part in ROI region, and 0 indicates the part outside ROI region, so the effect of the attribute value is to identify ROI region, with
It is standby that medical image is analyzed and handled subsequently through computerized algorithm.It, hereinafter will be after about the assignment and subsequent processing of ROI
It is continuous to do more detailed description.
Now the device and method according to the present invention for being used to handle medical image will be illustrated by example.
Fig. 7 and Fig. 8 respectively illustrates according to the present invention for handling two specific embodiments of the device of medical image
Module frame chart.It is generally speaking, described for handling the device of medical image, comprising:
Medical image obtains module；
Three-dimensional coordinate assignment module assigns D coordinates value to the medical image；The three-dimensional coordinate assignment module is simultaneously
It is inessential, but selection is applicable according to actual needs, or is substituted with other coordinate systems；
First VOI forms module, forms the first VOI of the first dimension along the medical image；
2nd VOI forms module, forms the 2nd VOI of the second dimension along the medical image；
Wherein, the 2nd VOI forms module and automatically forms the 2nd VOI based on the first VOI.
It is described for handling the device of medical image referring specifically to Fig. 7, comprising:
Medical image obtains module；
Three-dimensional coordinate assignment module assigns D coordinates value to the medical image；The module not necessarily, but root
According to actual treatment need and select be applicable in；
First VOI forms module, forms the first VOI of the first dimension along the medical image；
2nd VOI forms module, forms the 2nd VOI of the second dimension along the medical image；
Wherein, the 2nd VOI forms module and automatically forms the 2nd VOI based on the first VOI.
Specifically, the first VOI formation module includes:
First faultage image acquisition submodule, the first dimension along first dimension for obtaining the medical image are disconnected
Tomographic image；
First ROI rendering submodule draws ROI on the first dimension faultage image；
Assignment submodule, to the region in ROI on the first dimension faultage image and the area outside ROI
Domain assigns first property value and the second attribute value respectively；
First fault combination submodule has the faultage image of ROI according to original laminated structure one for drawing respectively
When rising, to form the first dimension VOI limited by multiple ROI.
2nd VOI forms module
Second faultage image acquisition submodule obtains multiple second dimensions along second dimension of the medical image
Spend faultage image；
Attribute value region display sub-module is shown automatically on each second dimension faultage image with institute
State the boundary line between the region of first property value and the region with second attribute value；
Second fault combination submodule will have all second dimension faultage images in the boundary line according to original respectively
Laminated structure together when, to form the second dimension VOI for being limited by the boundary line.
According to the present embodiment, attribute value region display sub-module can be in assignment submodule to the first dimension tomograph
While assigning first property value and the second attribute value respectively as the upper region in ROI and the region outside ROI,
Automatically the region with the first property value is shown on each second dimension faultage image and has described second to belong to
Boundary line between the region of property value, thus when the VOI in the first dimension completes, the VOI in the second dimension is also in time
It is shown.It will be appreciated that such processing setting can effectively improve the drafting efficiency of VOI.
It is described for handling the device of medical image in another specific embodiment with continued reference to Fig. 8, comprising:
Medical image obtains module；
Three-dimensional coordinate assignment module assigns D coordinates value to the medical image；
First VOI forms module, forms the first VOI of the first dimension along the medical image；
2nd VOI forms module, forms the 2nd VOI of the second dimension along the medical image；
Wherein, the 2nd VOI forms module and automatically forms the 2nd VOI based on the first VOI.
Specifically, the first VOI formation module includes:
First faultage image acquisition submodule, the first dimension along first dimension for obtaining the medical image are disconnected
Tomographic image；
First ROI rendering submodule draws ROI on the first dimension faultage image；
Assignment submodule, to the region in ROI on the first dimension faultage image and the area outside ROI
Domain assigns first property value and the second attribute value respectively；
First fault combination submodule has all first dimension faultage images of ROI according to original for drawing respectively
Laminated structure together when, to form the first dimension VOI for being limited by multiple ROI.
Further, the 2nd VOI formation module includes:
Second faultage image acquisition submodule obtains multiple second dimensions along second dimension of the medical image
Spend faultage image；
2nd ROI rendering submodule, according to the attribute value of each region on each second dimension faultage image,
It is shown automatically along the boundary line between the region with the first property value and the region with second attribute value
ROI；
Second fault combination submodule will show all second faultage images of ROI according to original sequence respectively
When being superimposed, to form the second dimension VOI limited by the boundary line；
Smoothing processing submodule is smoothed the second dimension VOI.Wherein, the smoothing processing submodule
Not necessarily, it but selects as needed.
In this embodiment, the 2nd ROI rendering submodule is according to each area on each second dimension faultage image
The attribute value in domain, and the boundary line between the region with the first property value and the region with second attribute value
Automatically ROI is shown.So can show the ROI on each second dimension faultage image according to the present embodiment, progress can be incited somebody to action
Each corresponding ROI is compared, so as to the drafting accuracy etc. for such as verifying ROI.
Fig. 9 and Figure 10 shows according to the present invention for handling the stream of two specific embodiments of the method for medical image
Journey block diagram.As shown, should be generally comprised specific for the method for handling medical image:
Medical image is obtained, the medical image has the first dimension and the second dimension；
D coordinates value is assigned to the medical image；
The first dimension VOI is drawn based on first dimension,
The second dimension VOI based on second dimension is automatically formed based on the first dimension VOI.
Referring specifically to Fig. 9, in the specific embodiment of diagram, the step of the first dimension VOI of the drafting, includes:
Obtain the first dimension faultage image along first dimension of the medical image；
ROI is drawn on the first dimension faultage image；
The is assigned respectively to the region on the first dimension faultage image in ROI and region outside ROI
One attribute value and the second attribute value；
Will respectively draw have the first dimension faultage image of ROI according to original laminated structure together when, with formed by
The first dimension VOI that multiple ROI are limited.
The formation of the second dimension VOI includes the following steps:
Obtain the second dimension faultage image along second dimension of the medical image；
On each second dimension faultage image, the region with the first property value is shown automatically and is had
Boundary line between the region of second attribute value；
When will show all second dimension faultage images in the boundary line according to original laminated structure together respectively,
To form the second dimension VOI limited by the boundary line；
Smoothing processing is implemented to the second dimension VOI.
Continue referring specifically to Figure 10, in the specific embodiment of diagram, the first dimension VOI of the drafting includes:
Obtain the first dimension faultage image along first dimension of the medical image；
ROI is drawn on the first dimension faultage image；
The is assigned respectively to the region on the first dimension faultage image in ROI and region outside ROI
One attribute value and the second attribute value；
Will respectively draw have the low latitudes faultage image of ROI according to original laminated structure together when, with formed by more
The first dimension VOI that a ROI is limited.
Further, the formation of the second dimension VOI includes the following steps:
Obtain multiple second dimension faultage images along second dimension of the medical image；
According to the attribute value of each region on each second dimension faultage image, along with first attribute
Boundary line between the region of value and region with second attribute value and show ROI automatically；
Smoothing processing is implemented to the ROI on the second dimension faultage image；
To show respectively all second dimension faultage images of ROI according to original laminated structure together when, with shape
At the second dimension VOI limited by the boundary line.
Figure 11, which is shown, is drawing the schematic diagram in ROI practical operation according to one embodiment.Upper left is medicine in the figure
Image is along a faultage image of coronal-plane, and upper right is a corresponding sagittal plane faultage image, and lower-left is that a cross section is disconnected
Tomographic image.Wherein, the ROI only on the coronal-plane faultage image of upper left is manually drawn, and on other two faultage image
ROI be according on coronal-plane faultage image ROI or VOI automatically generate.It is possible thereby to can be clearly seen, according to this hair
It is bright, as long as drawing the VOI in a dimension, the VOI of any other dimension can be automatically generated.This makes the present invention and existing skill
Art, which is compared, has clear advantage.It is possible, firstly, to which effectively save VOI draws the time.Conventionally, as every drafting is along one
The VOI of a dimension requires to draw ROI respectively on multiple faultage images first, and a VOI may correspond to dozens of even more
More ROI so the VOI of multiple dimensions needed for needing costly time and efforts that could complete is drawn, and then causes to cure
The processing and analytic process for learning image become very very long.This will hugely increase diagnosis cost, and be unfavorable for timely and effectively
Diagnosing and treating is implemented to patient.However, in the present invention, as long as can be automatically generated due to drawing the VOI in a dimension
The VOI of any other dimension, this allows to save in large quantities the time for drawing VOI, and then accelerates the place of medical image
Reason and analysis efficiency, to implement diagnosing and treating in time to patient.Secondly, can effectively improve VOI draws accuracy.Such as
It is preceding described, conventionally, as every VOI drawn along a dimension, requires first on multiple faultage images respectively
ROI is drawn, and ROI is usually to sketch out to come with experience in a manual manner, due to experience or manual operation
Inevitable fault, the actual conditions in objective function region may not be able to accurately be embodied by sketching out the ROI come, from
And cause the VOI drawn in one dimension the and VOI drawn in another dimension may not consistent or even error
Very big, this will necessarily negatively affect the analytic process in later period and result accuracy, and then it is accurate to influence final diagnostic result
Property and therapeutic effect.However, in the present invention, as long as the VOI in other dimensions is base due to drawing the VOI in a dimension
It is automatically generated in the VOI drawn with unique mapping mode, so actual functional capability region complete one shown between VOI
It causes, farthest reduces and led in the prior art when repeatedly drawing the VOI on different dimensions respectively because of operating error
The deviation and mistake of cause effectively improve the Efficiency and accuracy of VOI drafting, improve the medical image analysis processing in later period
Accuracy, and then improve final diagnostic result accuracy and therapeutic effect.
Figure 12 shows schematic diagram of the boundary line shown in Figure 11 after smoothing processing.In the present invention, smoothing processing is not
It is necessary, but optional step, selects to be applicable according to the actual displayed effect of the ROI of acquisition or VOI.It can be used
Any suitable method in the prior art is smoothed image, such as linear interpolation method, linear smoothing, B-
Spline method etc., details are not described herein.
Although the present invention is described in detail referring to the foregoing embodiments, for those skilled in the art,
Still a variety of modifications or variation or equivalent replacement of some of the technical features can be carried out to foregoing embodiments.
But any modification, equivalent substitution, improvement and etc. within the spirit and principles in the present invention, protection of the invention should all be fallen into
Within the scope of.
Claims (16)
1. a kind of for handling the device of medical image, comprising:
Medical image obtains module；
First VOI forms module, forms the first VOI of the first dimension along the medical image；
2nd VOI forms module, forms the 2nd VOI of the second dimension along the medical image；
Wherein, the 2nd VOI forms module and automatically forms the 2nd VOI based on the first VOI；
Wherein, the first VOI formation module includes:
First faultage image acquisition submodule, multiple first dimensions along first dimension for obtaining the medical image are disconnected
Tomographic image；
First ROI rendering submodule draws ROI on each first dimension faultage image；
Assignment submodule, to the region in ROI on each first dimension faultage image and the area outside ROI
Domain assigns first property value and the second attribute value respectively；
First fault combination submodule has all first dimension faultage images of ROI according to original sequence for drawing respectively
It is superimposed, to form the first dimension VOI limited by multiple ROI；
Wherein, the 2nd VOI formation module includes:
Second faultage image acquisition submodule, multiple second dimensions along second dimension for obtaining the medical image are disconnected
Tomographic image；
Attribute value region display sub-module is shown automatically on each second dimension faultage image with described
Boundary line between the region of one attribute value and region with second attribute value；
Second fault combination submodule will show all second dimension faultage images in the boundary line according to original respectively
Laminated structure together, to form the second dimension VOI for being limited by the boundary line.
2. according to claim 1 for handling the device of medical image, which is characterized in that the 2nd VOI forms mould
Block includes:
Second faultage image acquisition submodule, multiple second dimensions along second dimension for obtaining the medical image are disconnected
Tomographic image；
2nd ROI rendering submodule, according to the attribute value of each region on each second dimension faultage image,
It is shown automatically along the boundary line between the region with the first property value and the region with second attribute value
ROI；
Second fault combination submodule will show all second dimension faultage images of ROI according to original sequence respectively
When being superimposed, to form the second dimension VOI being made of ROI.
3. according to claim 1 for handling the device of medical image, which is characterized in that the first property value is 1,
Second attribute value is 0.
4. according to claim 1 for handling the device of medical image, which is characterized in that the medical image expression is taken the photograph
The brightness count value of shadow target or the size of intensity of brightness relative value.
5. according to claim 1 for handling the device of medical image, which is characterized in that first dimension is cross-section
Face, coronal-plane or sagittal plane.
6. according to claim 1 for handling the device of medical image, which is characterized in that further include:
Three-dimensional coordinate assignment module assigns D coordinates value to the medical image.
7. according to claim 1 for handling the device of medical image, which is characterized in that further include:
Smoothing processing submodule is smoothed the second dimension VOI.
8. according to claim 1 for handling the device of medical image, which is characterized in that the medical image is
SPECT, PET or fMRI image.
9. a kind of method for handling medical image, comprising:
Medical image is obtained, the medical image has the first dimension and the second dimension；
The first dimension VOI is drawn based on first dimension；
The second dimension VOI based on second dimension is automatically formed based on the first dimension VOI；
Wherein, the first dimension VOI of the drafting includes:
Obtain the first dimension faultage image along first dimension of the medical image；
ROI is drawn on the first dimension faultage image；
The first category is assigned respectively to the region in ROI on the first dimension faultage image and the region outside ROI
Property value and the second attribute value；
Will respectively draw have the first dimension faultage image of ROI according to original laminated structure together, with formed by multiple ROI
The the first dimension VOI limited；
Wherein, the formation of the second dimension VOI includes the following steps:
Obtain the second dimension faultage image along second dimension of the medical image；
On each second dimension faultage image, the region with the first property value is shown automatically and is had described
Boundary line between the region of second attribute value；
To show respectively all second dimension faultage images in the boundary line according to original laminated structure together, to be formed
The the second dimension VOI limited by the boundary line.
10. the method according to claim 9 for handling medical image, which is characterized in that the second dimension VOI's
Formation includes the following steps:
Obtain multiple second dimension faultage images along second dimension of the medical image；
According to the attribute value of each region on each second dimension faultage image, along with the first property value
Boundary line between region and region with second attribute value shows ROI automatically；
All second dimension faultage images of ROI will be shown respectively according to original laminated structure together, to be formed by ROI
The the second dimension VOI limited.
11. the method according to claim 9 for handling medical image, which is characterized in that the first property value is
1, second attribute value is 0.
12. the method according to claim 9 for handling medical image, which is characterized in that the medical image indicates
The brightness count value of photographic or the size of intensity of brightness relative value.
13. the method according to claim 9 for handling medical image, which is characterized in that first dimension is cross
Section, coronal-plane or sagittal plane.
14. the method according to claim 9 for handling medical image, which is characterized in that further include: to the medicine
Image assigns D coordinates value.
15. the method according to claim 9 for handling medical image, which is characterized in that further include: to described second
Dimension VOI is smoothed.
16. the method according to claim 9 for handling medical image, which is characterized in that the medical image is
SPECT, PET or fMRI image.
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