CN105662451B - A kind of aorta images treating method and apparatus - Google Patents
A kind of aorta images treating method and apparatus Download PDFInfo
- Publication number
- CN105662451B CN105662451B CN201610201758.0A CN201610201758A CN105662451B CN 105662451 B CN105662451 B CN 105662451B CN 201610201758 A CN201610201758 A CN 201610201758A CN 105662451 B CN105662451 B CN 105662451B
- Authority
- CN
- China
- Prior art keywords
- image
- aorta
- coronary artery
- ascendens
- subgraph
- 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
- 210000000709 aorta Anatomy 0.000 title claims abstract description 408
- 238000000034 method Methods 0.000 title claims abstract description 36
- 210000004351 coronary vessel Anatomy 0.000 claims abstract description 180
- 210000002376 aorta thoracic Anatomy 0.000 claims abstract description 55
- 239000000284 extract Substances 0.000 claims abstract description 23
- 238000004422 calculation algorithm Methods 0.000 claims description 22
- 210000001367 artery Anatomy 0.000 claims description 19
- 230000009466 transformation Effects 0.000 claims description 18
- 210000003462 vein Anatomy 0.000 claims description 16
- 238000002584 aortography Methods 0.000 claims description 15
- 238000002583 angiography Methods 0.000 claims description 14
- 238000000605 extraction Methods 0.000 claims description 12
- 210000004204 blood vessel Anatomy 0.000 claims description 10
- 230000003628 erosive effect Effects 0.000 claims description 8
- 238000012545 processing Methods 0.000 claims description 8
- 238000003672 processing method Methods 0.000 claims description 7
- 230000010339 dilation Effects 0.000 claims description 6
- 230000004927 fusion Effects 0.000 claims description 4
- 230000002708 enhancing effect Effects 0.000 claims description 3
- 238000004088 simulation Methods 0.000 abstract description 9
- 230000008569 process Effects 0.000 description 9
- 238000002586 coronary angiography Methods 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 8
- 238000002601 radiography Methods 0.000 description 6
- 230000008859 change Effects 0.000 description 5
- 238000006243 chemical reaction Methods 0.000 description 5
- 239000000193 iodinated contrast media Substances 0.000 description 5
- 239000008280 blood Substances 0.000 description 4
- 210000004369 blood Anatomy 0.000 description 4
- 238000002591 computed tomography Methods 0.000 description 4
- 210000005166 vasculature Anatomy 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 230000007797 corrosion Effects 0.000 description 3
- 238000005260 corrosion Methods 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 201000010099 disease Diseases 0.000 description 3
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 239000004020 conductor Substances 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000006698 induction Effects 0.000 description 2
- 230000002792 vascular Effects 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 208000031481 Pathologic Constriction Diseases 0.000 description 1
- 206010053648 Vascular occlusion Diseases 0.000 description 1
- 239000003795 chemical substances by application Substances 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 239000002872 contrast media Substances 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000002059 diagnostic imaging Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005530 etching Methods 0.000 description 1
- 238000003709 image segmentation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000003902 lesion Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000036262 stenosis Effects 0.000 description 1
- 208000037804 stenosis Diseases 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
- 210000000591 tricuspid valve Anatomy 0.000 description 1
- 208000021331 vascular occlusion disease Diseases 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computed tomography [CT]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5205—Devices using data or image processing specially adapted for radiation diagnosis involving processing of raw data to produce diagnostic data
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
- A61B6/5223—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data generating planar views from image data, e.g. extracting a coronal view from a 3D image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/003—Reconstruction from projections, e.g. tomography
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration using local operators
- G06T5/30—Erosion or dilatation, e.g. thinning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20036—Morphological image processing
- G06T2207/20041—Distance transform
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2211/00—Image generation
- G06T2211/40—Computed tomography
- G06T2211/404—Angiography
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Heart & Thoracic Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Biophysics (AREA)
- High Energy & Nuclear Physics (AREA)
- Optics & Photonics (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Veterinary Medicine (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Public Health (AREA)
- Geometry (AREA)
- Quality & Reliability (AREA)
- Computer Graphics (AREA)
- Software Systems (AREA)
- Apparatus For Radiation Diagnosis (AREA)
Abstract
The present invention provides a kind of aorta images treating method and apparatus, the method includes：Obtain the coronary artery CTA images of patient；Three-dimensional reconstruction is carried out to obtained coronary artery CTA images, obtains three-dimensional coronary artery image, and from obtained three-dimensional coronary artery image, extract aorta ascendens image；By in aorta ascendens image co-registration to the aorta master pattern being generated in advance, obtain include arch of aorta subgraph and descending aorta subgraph aorta completion image；Show obtained aorta completion image.Through the invention so that doctor carries out guiding catheter by the aorta completion image of generation and punctures simulation, can improve the puncture success rate of selected guiding catheter.
Description
Technical field
The present invention relates to technical field of image processing, in particular to a kind of aorta images treating method and apparatus.
Background technology
Currently, medical image refers in order to which medical treatment or medical research take human body or human body part with non-intruding mode
The inside of human body tissue image obtained.Existing medical image includes mainly computer tomography angiography (Computed
Tomographic Angiography, CTA) and Technology of Digital Subtraction Angiography (Digital Subtraction
Angiography, DSA) etc..When doctor is during coronary artery (abbreviation coronary artery) illness to patient is performed the operation, meeting
The coronary angiography image of patient, and the coronary angiography image by obtaining first are obtained, guiding catheter is carried out to the coronary artery of patient
Puncture procedure, to carry out operative treatment to the coronary artery of patient.
The angiographic procedure of existing coronary angiography image is to utilize DSA, will first inject and is preced with as the iodine contrast medium of contrast agent
Arteries and veins is open, the direction flowed through by iodine contrast medium and full coronary artery blood vessel, then by the coronary blood of x-ray assisted acquisition patient
The contrastographic picture of the coronary artery blood vessel filled by iodine contrast medium in pipe.
But doctor the coronary angiography image by patient to coronary condition carry out operative treatment during, due to
To contrastographic picture in do not show the radiography of coronary artery blood vessel that iodine contrast medium is not flowed through and filled, such as
The non-radiography vasculature part such as the arch of aorta and descending aorta, thus doctor by coronary angiography image to coronary opening position and
Opening direction cannot fill the non-radiography vasculature part of such as arch of aorta and descending aorta in coronary artery blood vessel when being judged
Divide observation so that doctor can not must carry out guiding catheter to patient in the case where grasping whole coronary artery information of patient and wear
Thorn operation, the coronary artery blood vessel for being easy to cause the guiding catheter and patient that use mismatch, and cause the waste of guiding catheter；And
And improper induction patient may be selected complication occur because of instrument, seriously affect the smooth development of follow-up interventional treatment.
Invention content
In view of this, the embodiment of the present invention is designed to provide a kind of aorta images treating method and apparatus so that
Doctor carries out guiding catheter by the aorta completion image of generation and punctures simulation, to improve the puncture of selected guiding catheter
Success rate.
In a first aspect, an embodiment of the present invention provides a kind of aorta images processing methods, including：
Obtain the coronary artery computer tomography angiography CTA images of patient；
Three-dimensional reconstruction is carried out to obtained coronary artery CTA images, obtains three-dimensional coronary artery image, and from described three obtained
It ties up in coronary artery image, extracts aorta ascendens image；
By in the aorta ascendens image co-registration to the aorta master pattern being generated in advance, obtain including aorta bow
The aorta completion image of image and descending aorta subgraph；Wherein, the aorta master pattern is previously according to multiple diseases
What the coronary artery CTA images of people generated；
Show the obtained aorta completion image, and doctor's selection in the obtained aorta completion image
Suitable guiding catheter is shown at vessel position.
With reference to first aspect, an embodiment of the present invention provides the first possible embodiments of first aspect, wherein from
In the obtained three-dimensional coronary artery image, aorta ascendens image is extracted, including：
The center of aorta ascendens image is determined from the coronary artery CTA images；
According to the center of the determining aorta ascendens image, aorta ascendens figure is extracted from the coronary artery CTA images
Picture and coronary artery blood-vessel image；
According to the interconnecting piece of the coronary artery blood-vessel image and the aorta ascendens image that extract, from the aorta ascendens
The opening of coronary artery blood vessel is determined in image；Wherein, the opening of the coronary artery blood vessel is for being put into guiding catheter.
With reference to first aspect, an embodiment of the present invention provides second of possible embodiments of first aspect, wherein root
According to the center of the determining aorta ascendens image, aorta ascendens image and coronary blood are extracted from the coronary artery CTA images
Pipe image, including：
According to the center of the aorta ascendens image, the aorta ascendens image is extracted using region growing algorithm；
The coronary artery blood-vessel image in the three-dimensional coronary artery image is enhanced using dilation erosion algorithm；
Using the aorta ascendens image, region growth is carried out to the enhanced coronary artery blood-vessel image, extracts institute
State coronary artery blood-vessel image.
With reference to first aspect, an embodiment of the present invention provides the third possible embodiments of first aspect, wherein will
In the aorta ascendens image co-registration to the aorta master pattern being generated in advance, obtain including that arch of aorta subgraph and drop are led
The aorta completion image of artery subgraph, including：
According to the aorta ascendens elevation information determined from the aorta ascendens image, from the aorta being generated in advance
The aorta ascendens subgraph with identical aorta ascendens elevation information is extracted in master pattern；
Registration operation is carried out to the aorta ascendens subgraph extracted and the aorta ascendens image, obtains the liter
The rigid registration parameters of aorta subgraph and the aorta ascendens image；
According to the obtained rigid registration parameters, by the aorta ascendens image co-registration to the aorta master pattern
In, obtain include arch of aorta subgraph and descending aorta subgraph aorta completion image.
With reference to first aspect, an embodiment of the present invention provides the 4th kind of possible embodiments of first aspect, wherein institute
State aorta master pattern be generated according to the coronary artery CTA images of multiple patients, including：
From the coronary artery CTA images of multiple patients of storage, the multiple hats for including Aortography image are determined
Arteries and veins CTA images, wherein the Aortography image includes aortic arch angiography image and descending aorta contrastographic picture；
Target image is determined from determining the multiple coronary artery CTA images；
Registration operation is carried out to the target image and each coronary artery CTA images, obtain the target image with it is multiple
The corresponding aorta of the coronary artery CTA images is registrated image, wherein each aorta registration image includes：Actively
Arcus haemalis is registrated subgraph and descending aorta is registrated subgraph；
Symbolic distance has been carried out according to each aorta registration image in obtained the multiple aorta registration image
Transformation, and the average value of multiple aortas registration image after having symbolic distance transformation is calculated, average distance changing image is obtained,
Wherein, each pixel in the average distance changing image has average distance transformed value；
Pixel of the average distance transformed value less than 0 in the average distance changing image is selected, generation includes the master
The aorta master pattern of arch of aorta subgraph and the descending aorta subgraph.
Second aspect, an embodiment of the present invention provides a kind of aorta images processing units, including：
Image collection module, the coronary artery computer tomography angiography CTA images for obtaining patient；
Image zooming-out module obtains three-dimensional coronary artery figure for carrying out three-dimensional reconstruction to the obtained coronary artery CTA images
Picture, and from the obtained three-dimensional coronary artery image, extract aorta ascendens image；
Image co-registration module, for by the aorta ascendens image co-registration to the aorta master pattern being generated in advance,
Obtain include arch of aorta subgraph and descending aorta subgraph aorta completion image；Wherein, the aorta master die
Type is generated previously according to the coronary artery CTA images of multiple patients；
Image shows module is mended for showing the obtained aorta completion image, and in the obtained aorta
The suitable guiding catheter of display at the vessel position that doctor selects in full images.
In conjunction with second aspect, an embodiment of the present invention provides the first possible embodiments of second aspect, wherein institute
Image zooming-out module is stated, including：
Center determination unit, the center for determining aorta ascendens image from the coronary artery CTA images；
Image extraction unit, for the center according to the determining aorta ascendens image, from the coronary artery CTA images
Extract aorta ascendens image and coronary artery blood-vessel image；
Be open determination unit, for the connection according to the coronary artery blood-vessel image and the aorta ascendens image extracted
Portion determines the opening of coronary artery blood vessel from the aorta ascendens image；Wherein, the opening of the coronary artery blood vessel refers to for being put into
Guiding tube.
In conjunction with second aspect, an embodiment of the present invention provides second of possible embodiments of second aspect, wherein institute
Image extraction unit is stated, including：
First image zooming-out subelement is carried for the center according to the aorta ascendens image using region growing algorithm
Take the aorta ascendens image；
Image enhancement subelement, for utilizing dilation erosion algorithm to the coronary artery blood-vessel image in the three-dimensional coronary artery image
Enhanced；
Second image zooming-out subelement, for utilizing the aorta ascendens image, to the enhanced coronary artery vessel graph
As carrying out region growth, the coronary artery blood-vessel image is extracted.
In conjunction with second aspect, an embodiment of the present invention provides the third possible embodiments of second aspect, wherein institute
Image co-registration module is stated, including：
Image extraction unit, for according to the aorta ascendens elevation information determined from the aorta ascendens image, from pre-
The aorta ascendens subgraph with identical aorta ascendens elevation information is extracted in the aorta master pattern first generated；
Image registration unit, for extracting the aorta ascendens subgraph and the aorta ascendens image match
Quasi- operation, obtains the rigid registration parameters of the aorta ascendens subgraph and the aorta ascendens image；
Image fusion unit, for according to the obtained rigid registration parameters, the aorta ascendens image co-registration to be arrived
In the aorta master pattern, obtain include arch of aorta subgraph and descending aorta subgraph aorta completion image.
In conjunction with second aspect, an embodiment of the present invention provides the 4th kind of possible embodiments of second aspect, wherein institute
Device is stated, further includes：
Aorta images determining module, for from the coronary artery CTA images of multiple patients of storage, determine include
Multiple coronary artery CTA images of Aortography image, wherein the Aortography image include aortic arch angiography image and
Descending aorta contrastographic picture；
Target image determining module, for determining target image from determining the multiple coronary artery CTA images；
Image registration module obtains institute for carrying out registration operation to the target image and each coronary artery CTA images
It states target image aorta corresponding with multiple coronary artery CTA images and is registrated image, wherein each aorta is matched
Quasi- image includes：The arch of aorta is registrated subgraph and descending aorta is registrated subgraph；
Average distance changing image computing module, for being registrated each of image according to obtained the multiple aorta
Aorta registration image has carried out symbolic distance transformation, and calculates multiple aortas registration image after having symbolic distance transformation
Average value obtains average distance changing image, wherein each pixel in the average distance changing image has average
Range conversion value；
Aorta master pattern generation module, for selecting average distance transformed value in the average distance changing image small
In 0 pixel, generation includes the aorta master die of the arch of aorta subgraph and the descending aorta subgraph
Type.
Aorta images treating method and apparatus provided in an embodiment of the present invention, by from coronary artery CTA 3-dimensional reconstructions
Extract aorta ascendens image in three-dimensional coronary artery image afterwards, and by aorta ascendens image co-registration to the aorta mark being generated in advance
In quasi-mode type, obtain include arch of aorta subgraph and descending aorta subgraph aorta completion image, then Xiang doctor's exhibition
The aorta completion image shown so that doctor can be according to the master including arch of aorta subgraph and descending aorta subgraph
Artery completion image selects the guiding catheter of suitable patient from preset guiding catheter database, and coronary blood is carried out to patient
The puncture of pipe is simulated, and compared with directly selecting the process that guiding catheter punctures patient in the prior art, first passes through puncture
After simulation, the guiding catheter for being suitble to the patient is selected to puncture patient, to improve selected guiding catheter to disease
The puncture success rate of people.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment cited below particularly, and coordinate
Appended attached drawing, is described in detail below.
Description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 shows a kind of flow chart for aorta images processing method that the embodiment of the present invention 1 is provided；
Fig. 2 shows a kind of structural schematic diagrams for aorta images processing unit that the embodiment of the present invention 2 is provided.
Specific implementation mode
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist
The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, the detailed description of the embodiment of the present invention to providing in the accompanying drawings is not intended to limit claimed invention below
Range, but it is merely representative of the selected embodiment of the present invention.Based on the embodiment of the present invention, those skilled in the art are not doing
The every other embodiment obtained under the premise of going out creative work, shall fall within the protection scope of the present invention.
In view of in the related technology, doctor carries out operative treatment in the coronary angiography image by patient to coronary condition
In the process, due to not showing the radiography of coronary artery blood vessel that iodine contrast medium is not flowed through and filled in obtained contrastographic picture, than
Such as arch of aorta and the non-radiography vasculature part of descending aorta in such as coronary artery blood vessel, so doctor is passing through coronary angiography image pair
Coronary opening position and opening direction cannot be to the non-radiographies of such as arch of aorta and descending aorta in coronary artery blood vessel when being judged
Vasculature part is fully observed so that doctor can not grasp patient whole coronary artery information in the case of must be to patient
Guiding catheter puncture procedure is carried out, the coronary artery blood vessel for being easy to cause the guiding catheter and patient that use mismatches, and causes to guide
The waste of conduit；Furthermore, it is possible to because instrument selects improper induction patient complication occur, the suitable of follow-up interventional treatment is seriously affected
Profit is carried out.Based on this, an embodiment of the present invention provides a kind of aorta images treating method and apparatus, below by embodiment into
Row description.
Embodiment 1
Present embodiments provide a kind of coronary artery image processing method, the executive agent of the embodiment of the present invention be include server
With the Medical Imaging System of CTA machines, wherein server carries out data interaction with CTA machines, and doctor first passes through server to CTA machines
Instruction is sent out, the coronary artery CTA images of patient are obtained, then server can be by obtained coronary artery CTA images, and it includes actively to generate
The aorta completion image of arcus haemalis subgraph and descending aorta subgraph, and by the aorta completion image shows of generation to doctor
It is raw.
Wherein, server can use the computing terminal of existing any model, no longer repeat one by one here.
Referring to the aorta images processing method that Fig. 1, the present embodiment are proposed, include the following steps：
Step 100, the coronary artery CTA images for obtaining patient.
Wherein, coronary artery CTA images are the medical images that patient obtains in CTA machines.
Step 102 carries out three-dimensional reconstruction to obtained coronary artery CTA images, obtains three-dimensional coronary artery image, and from three obtained
It ties up in coronary artery image, extracts aorta ascendens image.
Wherein, server to obtained coronary artery CTA images by existing any three-dimensional reconstruction algorithm, to CT coronary angiographies
Image carries out three-dimensional reconstruction, no longer repeats one by one here.
Doctor can be clearly seen that the tendency and state of every coronary artery blood vessel by three-dimensional reconstruction image, to help to cure
Life is more clearly understood the state of an illness of patient's entirety, doctor also can more clearly to the stenosis of lesion coronary artery blood vessel and
Narrow location is judged.
Specifically, three-dimensional reconstruction is carried out to obtained coronary artery CTA images, obtains three-dimensional coronary artery image, and from three obtained
It ties up in coronary artery image, extracts aorta ascendens image and specifically include following steps (1) to step (3)：
(1) center of aorta ascendens image is determined from coronary artery CTA images；
(2) according to the center of determining aorta ascendens image, aorta ascendens image and hat are extracted from coronary artery CTA images
Arteries and veins blood-vessel image；
(3) according to the interconnecting piece of the coronary artery blood-vessel image and aorta ascendens image extracted, from aorta ascendens image really
Make the opening of coronary artery blood vessel；Wherein, the opening of coronary artery blood vessel is for being put into guiding catheter.
In step 1, initial from patient's sequence image using Hough loop truss algorithm using the cylindric characteristic of aorta ascendens
Layer successively carries out circle detection to whole image, when wherein some center of circle is in continuous several layers of upper position variation range very littles
It waits, server can determine that the center of circle is the center of aorta ascendens.
Step 2 specifically includes following steps (21) to step (23)：
(21) according to the center of aorta ascendens image, aorta ascendens image is extracted using region growing algorithm；
(22) the coronary artery blood-vessel image in three-dimensional coronary artery image is enhanced using dilation erosion algorithm；
(23) aorta ascendens image is utilized, region growth is carried out to enhanced coronary artery blood-vessel image, extracts coronary blood
Pipe image.
In step (23), using all in the aorta ascendens outmost surface extracted in enhanced image
Point is used as seed point, and region growth is done in enhancing image, wherein it is coronary artery to increase length longest and two different blood vessels
Blood vessel or so two.The extracting method of aorta ascendens outmost surface is to carry out corrosion behaviour to aorta ascendens using Morphology Algorithm
Make, the aorta ascendens image then subtracted after corrosion using former aorta ascendens image can obtain.
For the serious blood vessel of vascular occlusion, the unobvious because occlusion part blood vessel develops possibly can not automatically extract out,
It needs exist for doctor and carries out manual extraction for occlusion serious vascular.Manual extraction process can utilize blood vessel CT values locally similar
Property in a small range extracts blood vessel the continuity for ensureing blood vessel with multiple seed points.
In step 3, guiding catheter is obtained from the guiding catheter database pre-established, guiding catheter database
In to every guiding catheter record information include mainly：The length of conduit, the radius of conduit, the pattern of conductor housing, conduit
The control point position etc. of elastic parameter and conduit.Wherein conduit control point position indicate conduit in piercing process with vascular wall
The position that aorta wall is in contact, user can set the position at these control points using experience, control point
Different location and elastic parameter determine conduit shape.User can be very easily to leading by the operation of bottom brace
Pipe is chosen.
Step 104, by aorta ascendens image co-registration to the aorta master pattern being generated in advance, obtain including aorta
The aorta completion image of bow image and descending aorta subgraph；Wherein, aorta master pattern is previously according to multiple diseases
What the coronary artery CTA images of people generated.
The aorta completion image that step 106, displaying obtain, and doctor's selection in obtained aorta completion image
Suitable guiding catheter is shown at vessel position.
Specifically, step 106 includes the following steps (1) to step (3)：
(1) Xiang doctor displaying include arch of aorta subgraph and descending aorta subgraph aorta completion image；
(2) vessel position that doctor selects in aorta completion image is obtained；
(3) according to the vessel information of the vessel position of doctor's selection, it is suitable to be selected from preset guiding catheter database
Guiding catheter shown at the vessel position that doctor selects, and be displayed to doctor guiding catheter guiding catheter letter
Breath feeds back to doctor.
In step 3, the vessel information of vessel position can obtain, blood vessel together in generating aorta completion image
The vessel information of position includes but not limited to：Opening information, the root size letter of each blood vessel shown in aorta completion image
Breath, diseased region and feature information.
Guiding catheter information, including but not limited to：The title of shown guiding catheter, the length of conduit, the half of conduit
Diameter, the pattern of conductor housing, the elastic parameter of conduit and the control point position of conduit.In conclusion master provided in this embodiment
Arterial images processing method, by extracting aorta ascendens figure from the three-dimensional coronary artery image after coronary artery CTA 3-dimensional reconstructions
Picture, and in aorta ascendens image co-registration to the aorta master pattern being generated in advance, will obtain include arch of aorta subgraph and
The aorta completion image of descending aorta subgraph, the aorta completion image then shown Xiang doctor so that Yi Shengke
The aorta completion image for including arch of aorta subgraph and descending aorta subgraph with basis, from preset guiding catheter data
The guiding catheter that suitable patient is selected in library, the puncture that coronary artery blood vessel is carried out to patient are simulated, and are directly selected in the prior art
The process that guiding catheter punctures patient is compared, and after first passing through puncture simulation, selects the guiding catheter for being suitble to the patient
Patient is punctured, to improve puncture success rate of the selected guiding catheter to patient.
In the related technology, the aorta images of patient can be simulated by parameter preset, to carry out coronary artery to doctor
Operation is instructed, may be larger with the aorta otherness of patient but simulate the aorta images come so that simulation
Aorta images out can not effectively instruct coronary artery procedure, and doctor still will carry out coronary artery by the experience of oneself
Operation, it cannot be guaranteed that operation success rate, so, in order to enable to aorta images doctor can effectively be instructed,
In this example, it by aorta ascendens image co-registration to the aorta master pattern being generated in advance, obtains including aorta bow
The aorta completion image of image and descending aorta subgraph includes the following steps (1) to step (3)：
(1) according to the aorta ascendens elevation information determined from aorta ascendens image, from the aorta standard being generated in advance
The aorta ascendens subgraph with identical aorta ascendens elevation information is extracted in model；
(2) registration operation is carried out to the aorta ascendens subgraph and aorta ascendens image that extract, obtains aorta ascendens
The rigid registration parameters of image and aorta ascendens image；
(3) it is wrapped in aorta ascendens image co-registration to aorta master pattern according to obtained rigid registration parameters
Include the aorta completion image of arch of aorta subgraph and descending aorta subgraph.
In step 1, according to the extreme coordinates of aorta ascendens image, aorta ascendens elevation information is determined, wherein rise master
The extreme coordinates of arterial images are recorded in obtained aorta ascendens image attributes information after extracting aorta ascendens image
Content；Aorta ascendens image attributes information further includes：The parameters such as the width of aorta ascendens and the opening diameter of aorta ascendens.
In step 2, by iteration with regard to proximal point algorithm (Iterative Closest Point, ICP algorithm) to a liter active
Arteries and veins subgraph and aorta ascendens image carry out registration operation.
Registration operation is carried out to aorta ascendens subgraph and aorta ascendens image, includes the following steps (21) to (23)：
(21) using the erosion algorithm in morphology to the aorta ascendens subgraph that is registrated and aorta ascendens image into
Row etching operation；
(22) image after being corroded using artwork image subtraction can obtain the aorta ascendens subgraph and liter being registrated
The contour images of aorta ascendens in aorta images；Wherein, from the aorta ascendens subgraph and aorta ascendens image being registrated
The contour images respectively obtained in aorta ascendens are considered as two groups of different point sets；
(23) using ICP algorithm in the aorta ascendens subgraph and aorta ascendens image aorta that are registrated respectively
The two groups of point sets arrived carry out Rigid Registration operation, obtain the rigid registration parameters of aorta ascendens subgraph and aorta ascendens image.
In step 23, the process of aorta ascendens subgraph and aorta ascendens image progress registration operation is as sought excellent
The process for changing rigid transformation parameters, to make the most narrow spacing between aorta ascendens subgraph and two groups of point sets of aorta ascendens image
From the spatial transformation parameter of required optimization is altogether 7 and is respectively：Translated along three reference axis translation parameters (tx,
Ty, tz), the change of scale of the rotation parameter (α, beta, gamma) rotated around three reference axis and a decision image scaling
Parameter s；Relationship between spatial transformation parameter is indicated that the formula of space conversion matrices is by space conversion matrices：
Wherein Pos represents the coordinate position of certain point on the point set of aorta ascendens.And PosNew indicates that the point carries out space
New coordinate position after transformation.
Rigid registration parameters are indicated by the space conversion matrices after being registrated.
In step 3, it is applied on aorta master pattern using as the space conversion matrices of rigid registration parameters, to
The aorta ascendens image of the patient extracted is merged with entire aorta master pattern, obtains including arch of aorta subgraph
The aorta completion image of picture and descending aorta subgraph.
In conclusion by the aorta ascendens subgraph in the aorta ascendens image and aorta master pattern to patient into
Row registration operation obtains including arch of aorta subgraph by the aorta ascendens image co-registration to aorta master pattern of patient
With the aorta completion image of descending aorta subgraph, the aorta completion image for making doctor pass through carries out puncture simulation,
To make aorta images effectively be instructed doctor during coronary artery procedure, the success rate of operation ensure that.
In the related technology, mostly it is directly directly to produce aorta master pattern using preset parameter, causes to be established
Aorta master pattern and the aorta of actual patient in shape and differ, and reduce aorta master pattern significantly and are performing the operation
When directive significance, so, in order to which the aorta master pattern and the aorta of actual patient that make foundation are similar in shape,
In this example, aorta master pattern is generated according to the coronary artery CTA images of multiple patients, includes the following steps (1) to step
Suddenly (5)：
(1) from the coronary artery CTA images of multiple patients of storage, the multiple coronary arterys for including Aortography image are determined
CTA images, wherein Aortography image includes aortic arch angiography image and descending aorta contrastographic picture；
(2) target image is determined from determining multiple coronary artery CTA images；
(3) registration operation is carried out to target image and each coronary artery CTA images, obtains target image and schemes with multiple coronary artery CTA
As corresponding aorta is registrated image, wherein each aorta is registrated image and includes：The arch of aorta is registrated subgraph and drop
Aorta is registrated subgraph；
(4) symbolic distance change has been carried out according to each aorta registration image in obtained multiple aortas registration image
It changes, and calculates the average value of multiple aortas registration image after having symbolic distance transformation, obtain average distance changing image,
In, each pixel in average distance changing image has average distance transformed value, in having symbolic distance transformation actively
Average distance transformed value inside arteries and veins is less than 0, and the average distance transformed value outside aorta is more than 0；
(5) pixel of the average distance transformed value less than 0 in average distance changing image is selected (average distance to be selected to become
The pixel indicated inside aorta is changed in image), generation includes the active of arch of aorta subgraph and descending aorta subgraph
Arteries and veins master pattern.
In step 1, it by image segmentation algorithm, is partitioned into respectively from the coronary artery CTA images of multiple patients of storage
Multiple Aortography images will be partitioned into the image of Aortography image as the coronary artery for including Aortography image
CTA images.
Wherein, the Aortography image being partitioned into includes the parts of images from heart tricuspid valve to descending aorta.
In step 2, target image is exactly any one in multiple coronary artery CTA images comprising Aortography image
Blood vessel normal image out of shape, can be by artificially observing and choosing.
In step 3, registration operation is carried out to target image and each coronary artery CTA images, obtains target image and multiple hats
The corresponding aorta of arteries and veins CTA images is registrated image, includes the following steps (31) to (33)：
(31) corrosion behaviour is carried out to the target image and coronary artery CTA images that are registrated using the erosion algorithm in morphology
Make；
(32) image after being corroded using artwork image subtraction can show that the target image being registrated and coronary artery CTA are schemed
The contour images of aorta as in；Wherein, it is respectively obtained from the target image and coronary artery CTA image aortas being registrated
Contour images are considered as two groups of different point sets；
(33) using ICP algorithm to respectively obtained in the target image and coronary artery CTA image aortas that are registrated two
Group point set carries out Rigid Registration operation, obtains target image aorta corresponding with multiple coronary artery CTA images and is registrated image.
In step 33, by following spatial alternation formula to from the target image and coronary artery CTA figures being registrated
As the two groups of point sets respectively obtained in aorta carry out Rigid Registration operation：
Wherein Pos represents the coordinate position of certain point on the point set of aorta.And PosNew indicates that the point carries out space change
Change rear new coordinate position.
In step 4, the average value for calculating multiple aortas registration image after having symbolic distance transformation, obtains average departure
It is as follows from the calculation formula of changing image：
Wherein, ImageDis has symbolic distance changing image for aorta, and 100 indicate have symbolic distance transformation
The quantity that aorta is registrated image is 100.
It is, of course, also possible to which the aorta using other quantity is registrated image, average distance changing image is obtained, here no longer
It repeats one by one.
In conclusion using the coronary artery CTA images of patient, generation includes arch of aorta subgraph and descending aorta subgraph
Aorta master pattern so that the aorta master pattern established is similar in shape to the aorta of actual patient, significantly
Improve the directive significance of aorta master pattern during operation.
Embodiment 2
Referring to Fig. 2, the present embodiment provides a kind of aorta images processing units, for executing at above-mentioned aorta images
Reason method, including：
Image collection module 200, the coronary artery computer tomography angiography CTA images for obtaining patient；
Image zooming-out module 202 obtains three-dimensional coronary artery image for the coronary artery CTA images progress three-dimensional reconstruction to obtaining,
And from obtained three-dimensional coronary artery image, extract aorta ascendens image；
Image co-registration module 204, for by aorta ascendens image co-registration to the aorta master pattern being generated in advance, obtaining
To the aorta completion image for including arch of aorta subgraph and descending aorta subgraph；Wherein, aorta master pattern is pre-
First generated according to the coronary artery CTA images of multiple patients；
Image shows module 206, for showing obtained aorta completion image, and in obtained aorta completion image
The suitable guiding catheter of display at the vessel position of middle doctor's selection.
In conclusion aorta images processing unit provided in this embodiment, by after coronary artery CTA 3-dimensional reconstructions
Three-dimensional coronary artery image in extract aorta ascendens image, and by aorta ascendens image co-registration to the aorta standard being generated in advance
In model, obtain include arch of aorta subgraph and descending aorta subgraph aorta completion image, then Xiang doctor show
Obtained aorta completion image so that doctor can be according to the active including arch of aorta subgraph and descending aorta subgraph
Arteries and veins completion image selects the guiding catheter of suitable patient from preset guiding catheter database, and coronary artery blood vessel is carried out to patient
Puncture simulation, compared with directly selecting the process that guiding catheter punctures patient in the prior art, first pass through puncture mould
After quasi-, the guiding catheter for being suitble to the patient is selected to puncture patient, to improve selected guiding catheter to patient
Puncture success rate.
In order to be extracted to image, image zooming-out module 202, including：
Center determination unit, the center for determining aorta ascendens image from coronary artery CTA images；
Image extraction unit extracts liter for the center according to determining aorta ascendens image from coronary artery CTA images
Aorta images and coronary artery blood-vessel image；
Be open determination unit, for the interconnecting piece according to the coronary artery blood-vessel image and aorta ascendens image extracted, from liter
The opening of coronary artery blood vessel is determined in aorta images；Wherein, the opening of coronary artery blood vessel is for being put into guiding catheter.
Further, image extraction unit, including：
First image zooming-out subelement is extracted using region growing algorithm and is risen for the center according to aorta ascendens image
Aorta images；
Image enhancement subelement, for being carried out to the coronary artery blood-vessel image in three-dimensional coronary artery image using dilation erosion algorithm
Enhancing；
Second image zooming-out subelement carries out area for utilizing aorta ascendens image to enhanced coronary artery blood-vessel image
Domain increases, and extracts coronary artery blood-vessel image.
In the related technology, the aorta images of patient can be simulated by parameter preset, to carry out coronary artery to doctor
Operation is instructed, may be larger with the aorta otherness of patient but simulate the aorta images come so that simulation
Aorta images out can not effectively instruct coronary artery procedure, and doctor still will carry out coronary artery by the experience of oneself
Operation, it cannot be guaranteed that operation success rate, so, in order to enable to aorta images doctor can effectively be instructed,
In this example, image co-registration module 204, including：
Image extraction unit, for the aorta ascendens elevation information that basis is determined from aorta ascendens image, from pre- Mr.
At aorta master pattern in extract the aorta ascendens subgraph with identical aorta ascendens elevation information；
Image registration unit, for extracting aorta ascendens subgraph and aorta ascendens image carry out registration operation,
Obtain the rigid registration parameters of aorta ascendens subgraph and aorta ascendens image；
Image fusion unit, for the rigid registration parameters that basis obtains, by aorta ascendens image co-registration to aorta mark
In quasi-mode type, obtain include arch of aorta subgraph and descending aorta subgraph aorta completion image.
In conclusion by the aorta ascendens subgraph in the aorta ascendens image and aorta master pattern to patient into
Row registration operation obtains including arch of aorta subgraph by the aorta ascendens image co-registration to aorta master pattern of patient
With the aorta completion image of descending aorta subgraph, the aorta completion image for making doctor pass through carries out puncture simulation,
To make aorta images effectively be instructed doctor during coronary artery procedure, the success rate of operation ensure that.
In the related technology, mostly it is directly directly to produce aorta master pattern using preset parameter, causes to be established
Aorta master pattern and the aorta of actual patient in shape and differ, and reduce aorta master pattern significantly and are performing the operation
When directive significance, so, in order to which the aorta master pattern and the aorta of actual patient that make foundation are similar in shape,
In this example, aorta images processing unit further includes：
Aorta images determining module, for from the coronary artery CTA images of multiple patients of storage, determining comprising actively
Multiple coronary artery CTA images of arteries and veins contrastographic picture, wherein Aortography image includes aortic arch angiography image and descending aorta
Contrastographic picture；
Target image determining module, for determining target image from determining multiple coronary artery CTA images；
Image registration module, for carrying out registration operation to target image and each coronary artery CTA images, obtain target image with
The corresponding aorta of multiple coronary artery CTA images is registrated image, wherein each aorta registration image includes：The arch of aorta
It is registrated subgraph and descending aorta is registrated subgraph；
Average distance changing image computing module, for according to each active in obtained multiple aortas registration image
Arteries and veins registration image has carried out symbolic distance transformation, and calculates being averaged for multiple aortas registration image after having symbolic distance transformation
Value, obtains average distance changing image, wherein each pixel in average distance changing image is converted with average distance
Value；
Aorta master pattern generation module, for selecting average distance transformed value in average distance changing image to be less than 0
Pixel, generate include arch of aorta subgraph and descending aorta subgraph aorta master pattern.
In conclusion using the coronary artery CTA images of patient, generation includes arch of aorta subgraph and descending aorta subgraph
Aorta master pattern so that the aorta master pattern established is similar in shape to the aorta of actual patient, significantly
Improve the directive significance of aorta master pattern during operation.
The computer program product for the carry out aorta images processing method that the embodiment of the present invention is provided, including store
The computer readable storage medium of program code, the instruction that said program code includes can be used for executing in previous methods embodiment
The method, specific implementation can be found in embodiment of the method, and details are not described herein.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed systems, devices and methods, it can be with
It realizes by another way.The apparatus embodiments described above are merely exemplary, for example, the division of the unit,
Only a kind of division of logic function, formula that in actual implementation, there may be another division manner, in another example, multiple units or component can
To combine or be desirably integrated into another system, or some features can be ignored or not executed.Another point, it is shown or beg for
The mutual coupling, direct-coupling or communication connection of opinion can be by some communication interfaces, device or unit it is indirect
Coupling or communication connection can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer read/write memory medium.Based on this understanding, technical scheme of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be expressed in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes：USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic disc or CD.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. a kind of aorta images processing method, which is characterized in that including：
Obtain the coronary artery CTA images of patient；
Three-dimensional reconstruction is carried out to the obtained coronary artery CTA images, obtains three-dimensional coronary artery image, and be preced with from the obtained three-dimensional
In arteries and veins image, aorta ascendens image is extracted；
By in the aorta ascendens image co-registration to the aorta master pattern being generated in advance, obtain including arch of aorta subgraph
With the aorta completion image of descending aorta subgraph；Wherein, the aorta master pattern is previously according to multiple patients
What coronary artery CTA images generated；
Show the obtained aorta completion image, and the blood vessel that doctor selects in the obtained aorta completion image
Suitable guiding catheter is shown at position.
2. according to the method described in claim 1, it is characterized in that, from the obtained three-dimensional coronary artery image, liter is extracted
Aorta images, including：
The center of aorta ascendens image is determined from the coronary artery CTA images；
According to the center of the determining aorta ascendens image, extracted from the coronary artery CTA images aorta ascendens image and
Coronary artery blood-vessel image；
According to the interconnecting piece of the coronary artery blood-vessel image and the aorta ascendens image that extract, from the aorta ascendens image
In determine the opening of coronary artery blood vessel；Wherein, the opening of the coronary artery blood vessel is for being put into guiding catheter.
3. according to the method described in claim 2, it is characterized in that, according to the center of the determining aorta ascendens image, from
Aorta ascendens image and coronary artery blood-vessel image are extracted in the coronary artery CTA images, including：
According to the center of the aorta ascendens image, the aorta ascendens image is extracted using region growing algorithm；
The coronary artery blood-vessel image in the three-dimensional coronary artery image is enhanced using dilation erosion algorithm；
Using the aorta ascendens image, region growth is carried out to the enhanced coronary artery blood-vessel image, extracts the hat
Arteries and veins blood-vessel image.
4. according to the method described in claim 1, it is characterized in that, by the aorta ascendens image co-registration to the master being generated in advance
In artery master pattern, obtain include arch of aorta subgraph and descending aorta subgraph aorta completion image, including：
According to the aorta ascendens elevation information determined from the aorta ascendens image, from the aorta standard being generated in advance
The aorta ascendens subgraph with identical aorta ascendens elevation information is extracted in model；
Registration operation is carried out to the aorta ascendens subgraph extracted and the aorta ascendens image, obtains the liter actively
The rigid registration parameters of arteries and veins subgraph and the aorta ascendens image；
According to the obtained rigid registration parameters, by the aorta ascendens image co-registration to the aorta master pattern,
Obtain include arch of aorta subgraph and descending aorta subgraph aorta completion image.
5. according to the method described in claim 1, it is characterized in that, the aorta master pattern is the hat according to multiple patients
What arteries and veins CTA images generated, including：
From the coronary artery CTA images of multiple patients of storage, the multiple coronary artery CTA for including Aortography image are determined
Image, wherein the Aortography image includes aortic arch angiography image and descending aorta contrastographic picture；
Target image is determined from determining the multiple coronary artery CTA images；
Registration operation is carried out to the target image and each coronary artery CTA images, obtain the target image with it is multiple described
The corresponding aorta of coronary artery CTA images is registrated image, wherein each aorta is registrated image and includes：The arch of aorta
It is registrated subgraph and descending aorta is registrated subgraph；
Symbolic distance transformation has been carried out according to each aorta registration image in obtained the multiple aorta registration image,
And the average value of multiple aortas registration image after having symbolic distance transformation is calculated, obtain average distance changing image, wherein
Each pixel in the average distance changing image has average distance transformed value；
Pixel of the average distance transformed value less than 0 in the average distance changing image is selected, generation includes the aorta
The aorta master pattern of bow image and the descending aorta subgraph.
6. a kind of aorta images processing unit, which is characterized in that including：
Image collection module, the coronary artery CTA images for obtaining patient；
Image zooming-out module obtains three-dimensional coronary artery image for the coronary artery CTA images progress three-dimensional reconstruction to obtaining, and
From the obtained three-dimensional coronary artery image, aorta ascendens image is extracted；
Image co-registration module, for by the aorta ascendens image co-registration to the aorta master pattern being generated in advance, obtaining
Aorta completion image including arch of aorta subgraph and descending aorta subgraph；Wherein, the aorta master pattern is
It is generated previously according to the coronary artery CTA images of multiple patients；
Image shows module, for showing the obtained aorta completion image, and in the obtained aorta completion figure
The suitable guiding catheter of display at the vessel position that doctor selects as in.
7. device according to claim 6, which is characterized in that described image extraction module, including：
Center determination unit, the center for determining aorta ascendens image from the coronary artery CTA images；
Image extraction unit is extracted for the center according to the determining aorta ascendens image from the coronary artery CTA images
Go out aorta ascendens image and coronary artery blood-vessel image；
Be open determination unit, for according to the interconnecting piece of the coronary artery blood-vessel image and the aorta ascendens image extracted,
The opening of coronary artery blood vessel is determined from the aorta ascendens image；Wherein, the opening of the coronary artery blood vessel is guided for being put into
Conduit.
8. device according to claim 7, which is characterized in that described image extraction unit, including：
First image zooming-out subelement extracts institute for the center according to the aorta ascendens image using region growing algorithm
State aorta ascendens image；
Image enhancement subelement, for being carried out to the coronary artery blood-vessel image in the three-dimensional coronary artery image using dilation erosion algorithm
Enhancing；
Second image zooming-out subelement, for utilize the aorta ascendens image, to the enhanced coronary artery blood-vessel image into
Row region increases, and extracts the coronary artery blood-vessel image.
9. device according to claim 6, which is characterized in that described image Fusion Module, including：
Image extraction unit, for the aorta ascendens elevation information that basis is determined from the aorta ascendens image, from pre- Mr.
At the aorta master pattern in extract the aorta ascendens subgraph with identical aorta ascendens elevation information；
Image registration unit, for extracting the aorta ascendens subgraph and the aorta ascendens image carry out registration behaviour
Make, obtains the rigid registration parameters of the aorta ascendens subgraph and the aorta ascendens image；
Image fusion unit, for the rigid registration parameters that basis obtains, by the aorta ascendens image co-registration described in
In aorta master pattern, obtain include arch of aorta subgraph and descending aorta subgraph aorta completion image.
10. device according to claim 6, which is characterized in that described device further includes：
Aorta images determining module, for from the coronary artery CTA images of multiple patients of storage, determining comprising actively
Multiple coronary artery CTA images of arteries and veins contrastographic picture, wherein the Aortography image includes that aortic arch angiography image and drop are led
Angiography image；
Target image determining module, for determining target image from determining the multiple coronary artery CTA images；
Image registration module obtains the mesh for carrying out registration operation to the target image and each coronary artery CTA images
Logo image aorta corresponding with multiple coronary artery CTA images is registrated image, wherein each aorta registration figure
As including：The arch of aorta is registrated subgraph and descending aorta is registrated subgraph；
Average distance changing image computing module, for according to each active in obtained the multiple aorta registration image
Arteries and veins registration image has carried out symbolic distance transformation, and calculates being averaged for multiple aortas registration image after having symbolic distance transformation
Value, obtains average distance changing image, wherein each pixel in the average distance changing image has average distance
Transformed value；
Aorta master pattern generation module, for selecting average distance transformed value in the average distance changing image to be less than 0
Pixel, generate include the arch of aorta subgraph and the descending aorta subgraph the aorta master pattern.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610201758.0A CN105662451B (en) | 2016-03-31 | 2016-03-31 | A kind of aorta images treating method and apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610201758.0A CN105662451B (en) | 2016-03-31 | 2016-03-31 | A kind of aorta images treating method and apparatus |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105662451A CN105662451A (en) | 2016-06-15 |
| CN105662451B true CN105662451B (en) | 2018-10-09 |
Family
ID=56225079
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610201758.0A Active CN105662451B (en) | 2016-03-31 | 2016-03-31 | A kind of aorta images treating method and apparatus |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105662451B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11816840B2 (en) * | 2017-07-26 | 2023-11-14 | Shenzhen Institutes Of Advanced Technology | Method, apparatus, device and storage medium for extracting a cardiovascular vessel from a CTA image |
| CN107451995B (en) * | 2017-07-26 | 2020-04-21 | 深圳先进技术研究院 | Method, device, equipment and storage medium for extracting cardiovascular from CTA image |
| CN109872336B (en) * | 2019-03-13 | 2021-07-09 | 数坤(北京)网络科技股份有限公司 | Blood vessel segmentation method, device and computer storage medium |
| CN110458847B (en) * | 2019-07-05 | 2022-05-13 | 心医国际数字医疗系统(大连)有限公司 | Automatic coronary artery segmentation and center line extraction method based on CTA image |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102254083A (en) * | 2010-04-26 | 2011-11-23 | 西门子公司 | Method and computer system for automatic vectorization of a vessel tree |
| CN104240287A (en) * | 2013-06-08 | 2014-12-24 | 北京思创贯宇科技开发有限公司 | Method and system for generating coronary panorama through CT images |
| CN105144173A (en) * | 2013-03-01 | 2015-12-09 | 哈特弗罗公司 | Method and system for determining treatments by modifying patient-specific geometrical models |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3921415B2 (en) * | 2002-05-22 | 2007-05-30 | 株式会社日立ハイテクノロジーズ | Biomagnetic field measurement device |
| US8010175B2 (en) * | 2004-05-05 | 2011-08-30 | Siemens Medical Solutions Usa, Inc. | Patient-specific coronary territory mapping |
| JP2007312837A (en) * | 2006-05-23 | 2007-12-06 | Konica Minolta Medical & Graphic Inc | Region extracting apparatus, region extracting method and program |
| US9788807B2 (en) * | 2013-09-06 | 2017-10-17 | Koninklijke Philips N.V. | Processing apparatus for processing cardiac data |
-
2016
- 2016-03-31 CN CN201610201758.0A patent/CN105662451B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102254083A (en) * | 2010-04-26 | 2011-11-23 | 西门子公司 | Method and computer system for automatic vectorization of a vessel tree |
| CN105144173A (en) * | 2013-03-01 | 2015-12-09 | 哈特弗罗公司 | Method and system for determining treatments by modifying patient-specific geometrical models |
| CN104240287A (en) * | 2013-06-08 | 2014-12-24 | 北京思创贯宇科技开发有限公司 | Method and system for generating coronary panorama through CT images |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105662451A (en) | 2016-06-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11816837B2 (en) | Vascular characteristic determination with correspondence modeling of a vascular tree | |
| US10878639B2 (en) | Interactive voxel manipulation in volumetric medical imaging for virtual motion, deformable tissue, and virtual radiological dissection | |
| US11183296B1 (en) | Method and apparatus for simulated contrast for CT and MRI examinations | |
| CN106023202B (en) | CFR fraction computational methods based on cardiac CT image | |
| KR102336929B1 (en) | Method and system for determining treatments by modifying patient-specific geometrical models | |
| JP6175073B2 (en) | Real-time display of vascular view for optimal device navigation | |
| CN106659399B (en) | Method and system for non-invasive functional assessment of coronary artery stenosis using flow calculations in diseased and hypothetical normal anatomical models | |
| JP2019076750A (en) | Method and system for sensitivity analysis in modeling blood flow characteristics | |
| CN105662451B (en) | A kind of aorta images treating method and apparatus | |
| CN106650272B (en) | The generation method and its application of the cardiovascular model of individual specificity | |
| WO2016001017A1 (en) | Apparatus for determining a fractional flow reserve value | |
| CN105894445B (en) | A kind of coronary artery image processing method and device | |
| CN105877767A (en) | Coronary artery image angiography method and device | |
| CN112543618A (en) | Method and apparatus for performing quantitative hemodynamic flow analysis | |
| CN112950537A (en) | Coronary blood flow reserve fraction acquisition system, method and medium | |
| US20230394654A1 (en) | Method and system for assessing functionally significant vessel obstruction based on machine learning | |
| JP2022531989A (en) | Automatic coronary angiography analysis | |
| CN115115735B (en) | Rapid calculation system of endothelial dynamic strain based on multi-phase coronary CT contrast | |
| US11763934B1 (en) | Method and apparatus for a simulated physiologic change for CT and MRI examinations | |
| CN110584696B (en) | Fractional flow reserve evaluation method and device and storage medium | |
| US11295537B1 (en) | Method and apparatus for inserting virtual contrast into CT and MRI examinations | |
| Chen et al. | Three-dimensional coronary visualization, part 1: modeling | |
| CN114049282B (en) | Coronary artery construction method, device, terminal and storage medium | |
| CN113539516B (en) | Method and device for obtaining post-application effect of treatment scheme | |
| Schwemmer | 3-D Imaging of Coronary Vessels Using C-arm CT |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |