CN103201768B - Identification to each sub regions of the calcification scoring to be carried out of cardiovascular system - Google Patents
Identification to each sub regions of the calcification scoring to be carried out of cardiovascular system Download PDFInfo
- Publication number
- CN103201768B CN103201768B CN201180054115.3A CN201180054115A CN103201768B CN 103201768 B CN103201768 B CN 103201768B CN 201180054115 A CN201180054115 A CN 201180054115A CN 103201768 B CN103201768 B CN 103201768B
- Authority
- CN
- China
- Prior art keywords
- subregion
- calcification
- cardiovascular
- view data
- different
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000002308 calcification Effects 0.000 title claims abstract description 99
- 210000000748 cardiovascular system Anatomy 0.000 title claims abstract description 16
- 230000000875 corresponding Effects 0.000 claims abstract description 30
- 210000003484 anatomy Anatomy 0.000 claims abstract description 12
- 230000000271 cardiovascular Effects 0.000 claims abstract description 12
- 230000000007 visual effect Effects 0.000 claims description 12
- 210000004369 Blood Anatomy 0.000 claims description 5
- 239000008280 blood Substances 0.000 claims description 5
- 238000009826 distribution Methods 0.000 claims description 4
- 238000002372 labelling Methods 0.000 claims description 4
- 239000003086 colorant Substances 0.000 claims description 2
- 230000004044 response Effects 0.000 claims description 2
- 238000002224 dissection Methods 0.000 claims 1
- 238000003860 storage Methods 0.000 description 11
- 238000004422 calculation algorithm Methods 0.000 description 10
- 238000000034 method Methods 0.000 description 7
- 238000007689 inspection Methods 0.000 description 5
- 239000000203 mixture Substances 0.000 description 4
- 210000000709 Aorta Anatomy 0.000 description 3
- 210000001765 Aortic Valve Anatomy 0.000 description 3
- OYPRJOBELJOOCE-UHFFFAOYSA-N calcium Chemical compound [Ca] OYPRJOBELJOOCE-UHFFFAOYSA-N 0.000 description 3
- 229910052791 calcium Inorganic materials 0.000 description 3
- 239000011575 calcium Substances 0.000 description 3
- 238000003384 imaging method Methods 0.000 description 3
- 230000011218 segmentation Effects 0.000 description 3
- 238000003325 tomography Methods 0.000 description 3
- 210000004351 Coronary Vessels Anatomy 0.000 description 2
- 210000004115 Mitral Valve Anatomy 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 201000008739 coronary artery disease Diseases 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000006011 modification reaction Methods 0.000 description 2
- 206010003210 Arteriosclerosis Diseases 0.000 description 1
- 206010003211 Arteriosclerosis coronary artery Diseases 0.000 description 1
- 210000001308 Heart Ventricles Anatomy 0.000 description 1
- 241000406668 Loxodonta cyclotis Species 0.000 description 1
- 208000010125 Myocardial Infarction Diseases 0.000 description 1
- 201000001320 atherosclerosis Diseases 0.000 description 1
- 210000000746 body regions Anatomy 0.000 description 1
- 230000000747 cardiac effect Effects 0.000 description 1
- 239000000969 carrier Substances 0.000 description 1
- 238000004040 coloring Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000002591 computed tomography Methods 0.000 description 1
- 238000005094 computer simulation Methods 0.000 description 1
- 239000002872 contrast media Substances 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 230000002596 correlated Effects 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000002059 diagnostic imaging Methods 0.000 description 1
- 230000037213 diet Effects 0.000 description 1
- 235000005911 diet Nutrition 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 238000002651 drug therapy Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000004907 flux Effects 0.000 description 1
- 239000007943 implant Substances 0.000 description 1
- 238000001361 intraarterial administration Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 210000000056 organs Anatomy 0.000 description 1
- 230000001737 promoting Effects 0.000 description 1
- 230000000284 resting Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000000638 solvent extraction Methods 0.000 description 1
- 210000001519 tissues Anatomy 0.000 description 1
- 230000002861 ventricular Effects 0.000 description 1
- 238000007794 visualization technique Methods 0.000 description 1
Abstract
A kind of method includes the multiple different anatomy subregion identifying the cardiovascular system of described object based on object specificity cardiovascular anatomic model in the view data of object, and wherein, the plurality of different region is corresponding to occurring the region of calcification；The calcification that the intensity level of voxel gray values based on described view data is searched for and identified in described subregion；And generate the signal of the one or more voxel areas corresponding with the subregion including identified calcification respectively indicating described view data.A kind of calculating system (118) includes the processor automatically determining the multiple different group of voxels of the view data of object, wherein, each group of voxels is corresponding to the different subregions of the cardiovascular system of described object, and each group of voxels is corresponding to being included in described view data the region of the calcification identified.
Description
Technical field
Hereafter relate generally to imaging, more specifically, relate to the calcium to be carried out identifying cardiovascular system
Change each sub regions of scoring, and be hereafter the concrete application combining computer tomography (CT)
And describe；But, the most general it is applicable to other image modes.
Background technology
Computer tomography (CT) scanning device includes X-ray tube, its launch traverses with
And the radiation of a part for the target that lies within or object.Detector detection traverses
Radiation, and generate the data for projection of the radiation that instruction is detected.Reconstructor reconstructed projection data, and
Generate the volumetric image data of the part of the target in instruction inspection area or object.
Cardiac CT scan to coronary artery calcification is a kind of acquisition about the calcified plaque in coronary artery
The non-invasive manner of the information of the existence of block, position and scope.Generally, calcified plaque is in intra-arterial
Under Ceng by fat and/or the deposition that constitutes of other materials, its may indicate that atherosclerosis or
The existence of coronary artery disease, this imply that the risk of heart attack.Owing to calcification is coronary artery
The mark of disease, thus people are by being commonly called the process of calcification scoring by the calcium in CT data
The amount changed is quantified as calcification score value.
Conventionally, there are two kinds of main calcification marking schemes.The first is automatic calcification scoring,
The program is that the overall situation is implemented, consequently only that an overall calcification score value.Another kind is that artificial calcification is commented
Point, wherein, user uses software application manually to distinguish zones of different coronarius, and for described
Zones of different determine calcification score value.Regrettably, such method can be not always all
Patient granularity interested is provided.
Such as, for Wicresoft's aortic valve is implanted, aortic valve, aortic bulb, left ventricle stream
The spatial distribution engaged in this profession with paraaortic calcified plaque is very for the planning of risk assessment and process
Important.Calcification in aorta decides the method for touching；The amount of the calcification on valve is to support just
Really the selection of diameter has impact；The stability of support is existed by the calcification distribution on three (3) individual lobules
Impact；There is impact in the stability on implanting support of the calcification on left ventricular outflow tract.
In view of the problems referred to above, exist need to be met to novel and non-obvious calcification scoring
The demand of scheme.
Summary of the invention
The various aspects of the application solve above and other problem.
According to an aspect, a kind of method includes based on object specificity cardiovascular anatomic model right
The view data of elephant identifies the multiple different anatomy subregion of the cardiovascular system of described object,
Wherein, corresponding to there is the region of calcification in the plurality of different region；Based on described view data
The calcification that the intensity level of voxel gray values is searched for and identified in described subregion；And it is described to generate instruction
One or more voxel areas corresponding with the subregion including identified calcification respectively of view data
Signal.
On the other hand according to, a kind of calculate system include automatically determining object view data multiple not
With the processor of group of voxels, wherein, each group of voxels corresponds to the cardiovascular system of described object not
Same subregion, each group of voxels is corresponding to comprising the region of the calcification identified in described view data.
According on the other hand, a kind of method includes each difference automatically determining the cardiovascular system of object
The calcification score value of subregion also makes it visualize.
Accompanying drawing explanation
The present invention can be with the form taking various parts and parts to arrange, and various step and step peace
The form of row.The effect of accompanying drawing is to illustrate preferred embodiment, it is not considered that it is to the present invention
It is construed as limiting.
Fig. 1 combines calcification scorer and shows a kind of imaging system.
Fig. 2 shows the example of described calcification scorer.
Fig. 3 shows a kind of method for promoting calcification to mark.
Detailed description of the invention
Fig. 1 shows the imaging system of one such as computer tomography (CT) scanning device 100.
Scanning device 100 includes scanning constant frame 102 and rotatable gantry 104, and the latter is with rotatable side
Formula is by the support of scanning constant frame 102.Rotatable gantry 104 around the longitudinal axis or z-axis around inspection
Region 106 rotates.The patient support 108 of such as bed supports the patient in inspection area 106, its
The rotation of rotatable gantry 104 can be coordinated to be moved along the z-axis, with promote spiral, axially or its
He expects scanning track.
The radiation source 110 of such as X-ray tube by the support of rotatable gantry 104 and therewith encloses
Rotate around inspection area 106.Radiation source 110 is launched and is radiated by source collimating device collimation, to generate
Traverses 106 basic in fan-shaped, wedge shape or the radiant flux of taper.Radiation-sensitive detects
Device array 112 detects the radiation of traverses 106 and generates the throwing of the radiation that instruction is detected
Shadow data.
Reconstructor 114 reconstructed projection data, and generate the volumetric image data of instruction inspection area 106.
General-purpose computing system plays a part operator's console 116, and it includes the output of such as display
The input equipment of device and such as keyboard, mouse etc..The software being present on control station 116 allows
The operation of operator control system 100, such as, it allows operator to start scanning etc..
The calculating system 118 of such as work station, computer etc. is configured to process view data.
Calculating system 118 includes one or more processor 120 and uses computer-readable instruction (such as,
Software program) encode or the computer-readable recording medium that embedded in described computer-readable instruction
122(such as, physical storage), described instruction when being performed by one or more processors 120 will
Calculating system 118 is made to perform various function.Storage medium 122 also stores data 124.
Such instruction includes the instruction for realizing carrying out the calcification scorer 126 of calcification scoring.Will
Calcification scorer 126 is configured to automatically and/or semi-automatically consideration carries out the heart area of calcification scoring
Spatial distribution, hereafter will give more detailed description to this.Such as, for for coronary artery disease
For sick calcification scoring, calcification scorer 126 can determine each interested of cardiovascular system
The calcification score value of part.
Graphic user interface (GUI) can be passed through and such as present according to form interested in every way
The subset of heart area or the calcification score value of all parts and/or combination score value, in the table,
Each result is made to be associated with corresponding anatomic model.Alternatively, or in addition, can be by coloring
Or other labellings make this association visualization, and/or user can select via the mutual GUI of user
Show the part of the described anatomic model of the calcification score value of correspondence.In addition or, it is possible to by calcification
Score value is mapped on the surface of anatomic model.
With one or more input equipment (such as, one or more COM1s 128 are arranged for carrying out
Keyboard, mouse etc.), one or more output device (such as, display, printer etc.), one
Or multiple equipment (such as, calculating system, pocket memory etc.), one or more data storage bank,
System 100(such as, control station 116 and/or reconstructor 114) etc. communication.Graphics controller 130
Data are processed, thus it is presented in human readable format the supervision of such as display 132
On device.
Although storage medium 122 is shown as single parts it should be appreciated that storage medium 122 is permissible
Including multiple memory element, including be in calculating system 118 this locality storage device and/or relative to based on
Calculation system 118 is in the storage device of outside.Similarly, processor 120 can cross over different meters
Calculation system is distributed.Additionally, calculating system 118 can be the part of control station 116, or vice versa as the same,
Or may be located remotely from system 100.Additionally, the one or more processor can be additionally or as replacing
The instruction entrained by instantaneous medium of substitute performance such as signal or carrier wave.
Fig. 2 shows the example of calcification scorer 126.
In this example, calcification scorer 126 utilizes and based on model is segmented in whole three-dimensional (3D)
One or more search of the every part for anatomical structure interested are determined in view data body
Region, and determine calcification score value for described region of search.
Shown calcification scorer 126 includes patient model's maker 202, and it is based on reconstructor 114
Or the view data of other system generation and one or more algorithm generate (whole body or certain organs
) patient-specific model.In the embodiment illustrated, patient model's maker 202 uses all
Algorithm based on model 204 such as partitioning algorithm based on model generates patient model.Shown
In embodiment, algorithm 204 and/or other algorithms one or more are stored in algorithm storage device
In 206.
In this example, by general cardiovascular system modeling is adjusted be allowed to be suitable for specific trouble
The image of person and generate patient-specific model.Generally, universal model describes each of cardiovascular system
The shape of sub regions, change and outward appearance.Patient model's maker 202 by about shape knowledge with
Knowledge separation about picture appearance is opened, and this facilitates and adjusts.Additionally, described universal model includes
Order that Controlling model is adjusted and the information of parameter.
At Ecabert et al., " Automatic Model-Based Segmentation of the Heart in CT
Images, " IEEE Transactions on Medical Imaging, the 27th (9) volume, 1189-1201
Page, describes the example of appropriate algorithm in 2008.At J.Weese et al., " Patient-Specific
Heart Models for Diagnosis and Interventions, " MEDICAMUNDI, the 53rd (3)
Volume, describes another example of appropriate algorithm by the 72-78 page in 2009.Here it is also contemplated that other
Algorithm, based on segmentation and/or is not based on the algorithm split including other.
Region of search evaluator 208 for described view data represents it may be found that the structure of calcification
One or more region of search is identified based on described patient model.In one non-limiting embodiment,
Region growing scheme can be used to realize this purpose, the program around mark region in from model
Surface start, or there may be in described model extra in cutting procedure along with model quilt
The structure of dynamic movement.Each region of search is all uniquely identified or labelling (such as, by color,
Text, highlight), and corresponding to the different interest regions of cardiovascular system.
As a non-limitative example, the first region of search is corresponding to being assigned the room of the first color
Room (AV) lobule 1, the second region of search corresponds to be assigned the AV lobule 2 of the second color, the
Three regions of search are corresponding to being assigned the AV lobule 3 of the 3rd color, and the 4th region of search corresponds to quilt
Being assigned with the Bicuspid valve of the 4th color, the 5th region of search is corresponding to being assigned the left heart of the 5th color
Room (LV) efferent tract, the 6th region of search is corresponding to being assigned the ball of the 6th color, and the 7th searches for
Region is corresponding to being assigned the aorta of the 7th color, and the 8th region of search is corresponding to being assigned the
The left ostium of eight colors, the 9th region of search corresponds to be assigned the right ostium of the 9th color, etc..
Calcification location in the calcification localizer 210 region of search to identifying.A non-limiting reality
Execute in example, this purpose can be realized based on one or more predetermined thresholds 212, such as, described threshold
Value is the threshold value from threshold value storage device 214 and/or other storage devices.Selected threshold value should be use up
May be low, to identify calcification, but the most sufficiently high, to distinguish calcification and surrounding tissue.Can be in order to
With patient model and/or by other means based on the mean intensity in the adjacent structure of every part
The threshold value of every part is calculated respectively with standard deviation.
In one example, described threshold value depends on the blood pool (blood near identified region of search
Pool) image intensity (such as, mean intensity adds allowance), it depends on the concentration of contrast agent.Can
With the label according to corresponding region of search, the calcification identified is made a mark.Such as, if at two
Calcification is positioned at first area, and at one, calcification is positioned at second area, then use first to be similar in color
Mark calcification at two in first area, use the second color mark to go out the calcification in second area.
Voxel evaluator 216 identifies corresponding with the calcified regions positioned in described view data
Individual or multiple group of voxels.In one non-limiting embodiment, it can include making calcification district grow into
Outside the region of search identified, and identify the voxel in the described region outside identified region of search.
It is likewise possible to the voxel identified is made a mark according to the label of corresponding region of search.Such as,
If identified for the first and second voxel areas positioning calcification at two, then use the similarly
The voxel that one color mark is identified.
Calcification quantizer 218 quantifies the calcification in the voxel identified, thus generates different region of search
And/or the calcification score value of the structure represented by it.Any of and/or other calcifications scoring can be utilized
Algorithm generates described calcification score value.
The image processor 220 voxel to being identified and/or calcification score value carry out various process, thus logical
Cross display 132(Fig. 1) and/or other display it is carried out vision and presents.
In one example, image processor 220 is for the structure corresponding with the region of search identified
In each one generate form.Such as, table 1 below illustrates the non-limiting of region listed above
Example.Although not shown, but the data during either rank or two arranges all can be by corresponding to above
The color of the structure label pointed out presents.
| Structure | Calcification score value |
| AV lobule 1 | 39mm2 |
| AV lobule 2 | 17mm2 |
| AV lobule 3 | 34mm2 |
| Bicuspid valve | 1253mm2 |
| LV efferent tract | 42mm2 |
| Ball | 85mm2 |
| Aorta | 1579mm2 |
| Left ostium | 220mm2 |
| Right ostium | 0mm2 |
Table 1 calcification score value
Alternatively, or in addition, calcification score value can be mapped to anatomic model by image processor 220
On, and in the way of visual, present described anatomic model and calcification score value in the gui.Can be via
The color corresponding with different structure and/or table entries, alphanumeric text, highlighted and/or other modes
Calcification score value is presented together with described anatomic model in the way of visual.
Alternatively, or in addition, calcification score value can be mapped to anatomic model by image processor 220
On, and in the way of visual, the most only present described anatomic model.In this case, use
Family can make mouse pointer or other pointing devices represent in resting on GUI, and anatomy interested is tied
On the area-of-interest of structure, and using mouse etc. to click on such region, user can also pass through keyboard
Select area-of-interest, and/or otherwise identify area-of-interest.As response, it is possible to
As described in being shown by alphanumeric character, color, audio frequency and/or other modes as literary composition is discussed
Calcification score value.
Alternatively, or in addition, calcification score value can be mapped in view data by image processor 220,
Cross-section (axially) of such as volumetric image data, crown, sagittal and/or oblique slice, 3D or 4D
View and/or the view data shown otherwise visually.In this case, it is possible to as in literary composition
Described calcification is presented according to the mode making view data and the informational linkage in table 1 get up as discussion
Score value, and/or present described calcification score value when identifying area-of-interest.
Alternatively, or in addition, calcification score value can be mapped to anatomic model by image processor 220
Surface on.In this case, it is possible to the surface being perpendicular to model calculates profiles (profile).
Can use and make described value normalization, thus this locality blood pool image intensity is mapped to zero.Afterwards, edge is calculated
The integration of described profile, and map that on the surface of patient contours, so that its visualization.
Can use color or the instruction of other labellings relatively or (the example such as degree absolute, severity, risk
As, the high severity of red expression, the low severity of green expression, use one or more other color tables
Show severity between two parties).The top surface that transparency can be used to be arranged through anatomic model sees having
The underlying surfaces of labelling, if so this underlying surfaces will not covered by top surface, it is impossible to see.If
Do not have any quantitative measure to be mapped on described surface, then can not do normalized in the case of
Use the maximum intensity along described profile.
Various known visualization technique can be used, including scaling, yawing, rotation, transparence,
Segmentation (removal of structure) etc. realizes the data that vision presents.
One or more calcification score values that proposer 222 determines based on calcification quantizer 218 generate instruction
The signal of proposal action (with other optional information).In one example, it is proposed that device 222 is institute
That identify and that calcification score value is assigned particular anatomical structure is raw based on the calcification score value distributed
Become suggestion.In another example, it is proposed that device 222 is spy based on the calcification score value distributing to other structures
Determine anatomical structure and generate suggestion.In another example, it is proposed that device 222 is based on being assigned with calcification score value
Multiple structures calcification score value collect for particular anatomical structural generation advise.
Suitable suggestion includes but not limited to one or more intervention procedure, one or more extra survey
Examination, the change of patient diet, the change of patient activity, the Drug therapy of patient and/or other suggestions.
Such as, it is proposed that can include the inlet point of suggestion device to be implanted, such as, described device is tool
There is Wicresoft's aortic valve implant.In another example, it is proposed that can include that suggestion is to be implanted
The size of device, such as, the diameter of support to be implanted, and the most possible bracket stable is provided
The information of property.Above-mentioned example is nonrestrictive, it is proposed that device 222 can also provide other suggestion and/or
Information.
Fig. 3 shows a kind of subregion one or more interested for determining cardiovascular system
The exemplary method of calcification score value.
It should be appreciated that the order of above-mentioned action is nonrestrictive.Therefore, it is contemplated that it here
He is sequentially.Furthermore, it is possible to omit one or more action, and/or one or many can be comprised
The action that item is extra.
In 302, it is thus achieved that view data.Figure can be generated by reconstructor 114 and/or other system
As data.
In 304, based on the anatomical structure that view data and general anatomical model generation are interested
Patient-specific model.
In 306, in described view data, identify region of search based on described patient model.
In 308, one or more regions of search identify calcification.As described herein, can adopt
By thresholding and/or other technologies.
In 310, the region of the surrounding of the calcification of identification is determined.
In 312, identify the group of voxels corresponding to described zones of different.
In 314, determine the calcification score value of different groups respectively.
In 316, in every way described calcification score value is carried out vision and present.
As described in the text, in one example, it can include generating and presenting area-of-interest
Map to the form of calcification score value；By color or other means, calcification score value is reflected by the way of visual
The correspondence position being incident upon on anatomic model；Make calcification score value and the correspondence position phase on anatomic model
Association, wherein, selects a certain position the calcification score value being correlated with will to be presented；By calcification score value
It is mapped in the way of visual on the surface of anatomic model, to indicate the relative or the tightest of doped calcium
Severe.
Can realize aforesaid operations by computer-readable instruction, described instruction is being subsequently can by computer device
During execution, the action described by processor execution will be made.In this case, by described instruction storage
In computer-readable recording medium that is relevant to correlation computer or that can be accessed by it.Described
The execution of action is not necessarily and data acquisition depositing.
The present invention is described by reference to various embodiments.While description in reading literary composition, ability
Field technique personnel are it is contemplated that modifications and variations.This means, it should be inferred as the present invention including institute
There are this type of modifications and variations in the range of claims or its equivalency that fall.
Claims (12)
1. a recognition methods, including:
In the view data of object, described object is identified based on object specificity cardiovascular anatomic model
The multiple different anatomy subregion of cardiovascular system, wherein, the plurality of different anatomy
Corresponding to there is the region of calcification in subregion；
In the intensity level of voxel gray values based on described view data is searched for and is identified described subregion
Calcification；
Using the calcification in predetermined threshold value identification subregion, wherein, first threshold is for the plurality of
Different the first subregions in anatomy subregion, Second Threshold is used for the plurality of different dissection
The second subregion in scholar region, and described first threshold and described Second Threshold be different；
And
Generate corresponding with the subregion including identified calcification respectively one indicating described view data
Individual or the signal of multiple voxel areas.
Method the most according to claim 1, also includes:
Obtain the general anatomical model of described cardiovascular system；And
Described in described general anatomical model generation based on described view data and described cardiovascular system
Object specificity cardiovascular anatomic model.
Method the most according to claim 1, wherein, described threshold value is based on the blood near subregion
The intensity level in pond.
Method the most according to claim 3, wherein, described threshold value intensity based on described blood pool
The meansigma methods of value adds allowance.
5. according to the method according to any one of claim 1 to 4, wherein, described threshold value is based on institute
State the mean intensity in the structure of the neighbouring described subregion in object specificity cardiovascular model and standard
Deviation.
6., according to the method according to any one of claim 1 to 4, also include:
The corresponding with the subregion including identified calcification respectively of described view data is indicated generating
After the signal of one or more voxel areas, determine that the calcification of at least one in described subregion divides
Value.
Method the most according to claim 6, also includes:
Make at least one in described voxel areas enter outside growing into the anatomy subregion of correspondence to expand
Territory, exhibition section；And
Calcification score value is determined based on described extended area.
Method the most according to claim 6, also includes:
Described calcification score value is presented together with the corresponding son indicating described anatomy subregion in the way of visual
The labelling in region.
Method the most according to claim 8, also includes:
Different colors is made to be associated with each in described subregion；
Use corresponding color for described subregion, thus in the way of visual, present described calcification divide
Value is together with described labelling；And
Utilize the corresponding color of described subregion to identify that described object specificity cardiovascular is dissected
Learn the subregion in model, thus in the way of visual, present object specificity cardiovascular anatomic model.
Method the most according to claim 6, also includes:
Generate between described calcification score value and described object specificity cardiovascular anatomic model and map；
Described object specificity cardiovascular anatomic model is presented in the way of visual；And
Signal in response to the user's input receiving instruction selection subregion presents institute in the way of visual
State the calcification score value of subregion.
11. methods according to claim 6, also include:
Determine the relative severity of described calcification score value；
To the color that different severity distribution is different；
Life between the surface of described relative severity and described object specificity cardiovascular anatomic model
Become to map；And
Utilize distribute to that the described different color of described severity identifies in corresponding subregion described
Severity relatively, thus in the way of visual, present described object specificity cardiovascular anatomic model.
12. methods according to claim 11, also include:
Transparence value is distributed to described surface；And
Utilize described different color to identify in the corresponding subregion after described surface described relatively
Severity, thus in the way of visual, present described object specificity cardiovascular anatomic model.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US41292110P | 2010-11-12 | 2010-11-12 | |
| US61/412,921 | 2010-11-12 | ||
| PCT/IB2011/054988 WO2012063204A1 (en) | 2010-11-12 | 2011-11-09 | Identifying individual sub-regions of the cardiovascular system for calcium scoring |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103201768A CN103201768A (en) | 2013-07-10 |
| CN103201768B true CN103201768B (en) | 2016-11-30 |
Family
ID=
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2007058997A2 (en) * | 2005-11-11 | 2007-05-24 | The University Of Houston System | Scoring method for imaging-based detection of vulnerable patients |
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2007058997A2 (en) * | 2005-11-11 | 2007-05-24 | The University Of Houston System | Scoring method for imaging-based detection of vulnerable patients |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP2638525B1 (en) | Identifying individual sub-regions of the cardiovascular system for calcium scoring | |
| US20190021677A1 (en) | Methods and systems for classification and assessment using machine learning | |
| Goodman | Felson's principles of chest roentgenology, a programmed text | |
| JP6080249B2 (en) | Three-dimensional image display apparatus and method, and program | |
| US9788807B2 (en) | Processing apparatus for processing cardiac data | |
| CN105934199B (en) | For handling the device and method of the medical image of body cavity | |
| CN103889328B (en) | Perfusion imaging | |
| CN106659400A (en) | Apparatus for determining a fractional flow reserve value | |
| US10888290B2 (en) | Medical-image processing apparatus and medical-image diagnostic apparatus | |
| JP2008503303A (en) | Method and apparatus for displaying a tracheobronchial tree | |
| CN106716488A (en) | Analyzing aortic valve calcification | |
| JP2007202957A (en) | Wall motion measuring device and medical image diagnostic apparatus | |
| CN105877767A (en) | Coronary artery image angiography method and device | |
| KR20220124166A (en) | Systems and Methods for Determination of Radiation Parameters | |
| WO2018165478A1 (en) | Shell-constrained localization of vasculature | |
| Soon et al. | The effect of a whole heart motion-correction algorithm on CT image quality and measurement reproducibility in Pre-TAVR aortic annulus evaluation | |
| CN104915989A (en) | CT image-based blood vessel three-dimensional segmentation method | |
| CN103201768B (en) | Identification to each sub regions of the calcification scoring to be carried out of cardiovascular system | |
| KR102229367B1 (en) | Cerebrovascular image displaying apparatus and method for comparison and diagnosis | |
| Beliveau et al. | Computation of coronary perfusion territories from CT angiography | |
| RU2587909C2 (en) | Identification of separate subareas of cardiovascular system for evaluation of calcium | |
| TWI840465B (en) | System and method for determining radiation parameters and non-transitory computer-readable storage medium thereof | |
| Zhong et al. | Three-dimensional reconstruction of coronary arteries and its application in localization of coronary artery segments corresponding to myocardial segments identified by transthoracic echocardiography | |
| CN116369961A (en) | Providing vessel wall related data | |
| Chacón et al. | Computational assessment of stomach tumor volume from multi-slice computerized tomography images in presence of type 2 cancer [version 2; referees: 1 approved, 1 not approved] |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |