CN108937978A - A kind of Layering manifestation method of blood flow complete alternation imaging algorithm - Google Patents
A kind of Layering manifestation method of blood flow complete alternation imaging algorithm Download PDFInfo
- Publication number
- CN108937978A CN108937978A CN201810359504.0A CN201810359504A CN108937978A CN 108937978 A CN108937978 A CN 108937978A CN 201810359504 A CN201810359504 A CN 201810359504A CN 108937978 A CN108937978 A CN 108937978A
- Authority
- CN
- China
- Prior art keywords
- blood flow
- value
- pixel
- brightness
- sequence
- 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.)
- Pending
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/50—Clinical applications
- A61B6/504—Clinical applications involving diagnosis of blood vessels, e.g. by angiography
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. 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
- A61B6/5217—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data extracting a diagnostic or physiological parameter from medical diagnostic data
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. 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
- A61B6/5229—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data combining image data of a patient, e.g. combining a functional image with an anatomical image
- A61B6/5247—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data combining image data of a patient, e.g. combining a functional image with an anatomical image combining images from an ionising-radiation diagnostic technique and a non-ionising radiation diagnostic technique, e.g. X-ray and ultrasound
Abstract
The present invention provides a kind of Layering manifestation method of blood flow complete alternation imaging algorithm.The method will read angiographic sequence data first, encode to the specific data in multiple image sequence；Then brightness, the coloration, saturation parameters of HSV space are indicated using the specific data in complete sequence, hsv color space is converted into RGB color, it shows a width blood flow complete alternation image, and shows that contrast agent reaches the time of each pixel in the picture, characterize haemodynamics information；Then three layers are divided into sequence, layering handles the data in image sequence, and three parameters of HSV space are indicated with each layer of data, are finally transformed into RGB color, shows blood flow arterial phase, venous phase, three width image of venous sinus phase just.Method provided by the invention can be such that complicated blood flow complete alternation is shown in a width figure, distinguish physiological location information, and can Layering manifestation, the haemodynamics information of each position of precise positioning blood vessel.
Description
[technical field]
The invention patent relates to field of medical image processing more particularly to a kind of layering of blood flow complete alternation imaging algorithm are aobvious
Show method.
[background technique]
Brain blood flow complete alternation colour imaging is to carry out secondary treatment using cerebral angiography bidimensional image, by making for tens frames
The information of shadow image is fused to above an image, and obtains pseudo-colours blood flow complete alternation imaging, is current intracranial vessel disease
The new technology of disease diagnosis, because of the case where being the reprocessing to raw video, not will cause patient's secondary radiation.
Colour imaging is red using pseudo-colours, green, blue mark the sanguimotor arterial phase of brain respectively, venous phase,
Venous sinus phase blood vessel can use blood flow peak time to study cerebrovascular blood stream rheology, be ischemic cerebral vascular
Cerebral hemodynamic research provides a kind of new method before and after the high blood flow lesions treatment of disease, encephalic, so as to improve diagnostics
It is horizontal.
Other image display modes can not show whole blood circulation processes on same image at present, and complete alternation is color
Color imaging solves the problems, such as this, but blood vessel is intricate, may be accurately compared to for before for the judgement of topography
Property reduce；Meanwhile original radiography data show the whole process of contrast agent blood vessel filling function by tens frame images, for doctor
For every frame information utilization it is lower, therefore develop and both collect the vessel information for unifying period and improve topography judgement
The display methods of accuracy rate seems particularly necessary.
[summary of the invention]
The problem to be solved in the present invention is: developing and both collects the vessel information for unifying a period and part can be improved
Dissect the display methods of judging nicety rate.
In order to solve the above-mentioned technical problem, the present invention is achieved by the following technical solutions:
1) angiographic sequence data are read, coded representation HSV parameter is carried out to wherein specific data；
2) HSV space is converted into RGB color, display blood flow complete alternation imaging, and it is each to show that contrast agent reaches
The time of pixel；
3) three layers are divided into sequence, carry out coded representation hsv color spatial parameter with every layer of data；
4) HSV space is converted into RGB color, shows blood flow arterial phase, venous phase, three width image of venous sinus phase.
Wherein the particular data packet includes peak time (TTP), maximum reinforcement value (Imax) to step 1 of the present invention；Institute
At the time of stating peak time and refer to that the brightness value of certain pixel in sequence reaches peak value, the maximum reinforcement value is for single
What pixel defined, it, will at this time at the time of the brightness value of the pixel at as a certain position reaches peak value in entire sequence
The brightness value for carving the point in the brightness peak and frisket of the pixel subtracts each other, and obtained difference is defined as the pixel brightness
Maximum reinforcement value, wherein HSV parameter representation method the following steps are included:
1.1) the peak time TTP of each pixel position, maximum reinforcement value Imax in the sequence of calculation；
1.2) HSV colour model is used, with tone, i.e. the color of single pixel point indicates that the concentration of developer at the point reaches
The time of peak value；When indicating that developer reaches the pixel with brightness, due to concentration to reach to peak value, the brightness of the pixel reaches
To it is most bright when maximum reinforcement value；Saturation degree is a constant, is selected as 0.8 herein.
Thinking is layered in step 3 of the present invention are as follows: tens frame images in sequence are divided into 3 layers, can reach and screen respectively
Out the blood flow arteries and veins phase, blood flow venous phase, blood flow venous sinus device contrastographic picture purpose, complicated blood flow information is divided into
The display of three stages, can more realize precise positioning, clearly show that the peak time of each blood vessel pixel, and every layer data is encoded
Indicate hsv color spatial parameter the following steps are included:
3.1) formula is set in first layer, as long as peak time is higher than all time-consuming one third, by the value of this point
Brightness sets 0；
3.2) maximum reinforcement value threshold value is set in the second layer, filters out the maximum reinforcement value for being higher than this threshold value in the second layer
And show, rest of pixels point brightness sets 0；
3.3) maximum reinforcement value threshold value is set in third layer, filters out the maximum reinforcement value for being higher than this threshold value in third layer
And show, rest of pixels point brightness sets 0.
Compared with the prior art, the present invention has the following beneficial effects:
Other image display modes can not show whole blood circulation processes on same image at present, and complete alternation is color
Color imaging solves the problems, such as this, but blood vessel is intricate, may be accurately compared to for before for the judgement of topography
Property reduce；Meanwhile original radiography data show the whole process of contrast agent blood vessel filling function by tens frame images, for doctor
For every frame information utilization it is lower, therefore the present invention develops and a kind of both collects the vessel information for unifying a period and raising office
The display methods of portion's dissection judging nicety rate.
[Detailed description of the invention]
Fig. 1 is a kind of Layering manifestation method flow diagram of blood flow complete alternation imaging algorithm of one embodiment of the invention.
Fig. 2 is one embodiment of the invention blood flow complete alternation imaging and each layer display effect schematic diagram.
[specific embodiment]
In the following description, numerous specific details are set forth to fully understand the present invention.But the present invention can be with many
Implement different from the other way of such description, those skilled in the art can do without violating the connotation of the present invention
It is similar to promote, therefore the present invention is not limited to the specific embodiments disclosed below.
Secondly, the present invention is described in detail using schematic diagram, when describing the embodiments of the present invention, for purposes of illustration only, institute
Stating schematic diagram is example, should not limit the scope of protection of the invention herein.
With reference to the accompanying drawing to a kind of Layering manifestation method of blood flow complete alternation imaging algorithm of one embodiment of the invention
It is described in detail.
Fig. 1 is a kind of Layering manifestation method flow signal of blood flow complete alternation imaging algorithm of one embodiment of the invention
Figure.
As shown in Figure 1, including executing step S1, angiographic data is obtained, the used data of the present embodiment are 82 frames；It connects
Execution step S2, in 82 frame image sequences pixel maximum value and reach maximum value when the time required to encode, come
It indicates peak time and maximum reinforcement value, and then represents HSV parameter；Then step S3 is executed, HSV space is converted into RGB
Color space shows blood flow complete alternation image；Step S4 is executed, 82 frame sequence images are divided into three layers, for each layer
The data brightness, coloration and the saturation degree that are encoded to indicate HSV space；Step S5 is finally executed, HSV space is converted to
RGB color shows blood flow arterial phase, venous phase, three width image of venous sinus phase.
Fig. 2 is the blood flow complete alternation imaging of one embodiment of the invention and each layer display effect schematic diagram.Specifically, Fig. 2
In 2a indicate in the present embodiment angiographic data that 82 frame image co-registrations are a blood flow complete alternation image schematic diagram, wherein
Mouse can show that contrast agent reaches the time of this point when clicking each pixel, diagram can be seen that diagram can integrally show that blood flow is each
The complete alternation image in a period, but blood vessel is intricate, is not so good as the accurate of single frames for the judgement of topography；Fig. 2 b is the
One layer i.e. blood flow arterial phase effect diagram, can be observed compared to for single frames contrastographic picture, this width image contains preceding 27
The blood flow information of frame, but compared to complete alternation image for, for part dissection judge it is more accurate；Fig. 2 c is the second layer
That is blood flow venous phase effect diagram, this figure contain 27-54 frame blood flow information；Fig. 2 d is third layer, that is, blood flow venous sinus phase effect
Fruit schematic diagram, this figure contain 55-82 frame blood flow information.Using Layering manifestation method, 82 frame specific data informations are converted to
The parameter in hsv color space, and then it is transformed into RGB color, by the blood flow information of 82 frame gray level images in embodiment
It is shown in three width color images, had not only increased the readability of doctor, but also improve topography judging nicety rate.
Although the present invention is disclosed in the preferred embodiment as above, its be not for limiting the present invention, it is all without departing from
The content of technical solution of the present invention, according to the technical essence of the invention any simple modification to the above embodiments are equivalent
Variation and modification, belong to the protection scope of technical solution of the present invention.
Claims (3)
1. the present invention provides a kind of Layering manifestation method of blood flow complete alternation imaging algorithm, which comprises the following steps:
1) angiographic sequence data are read, coded representation HSV parameter is carried out to wherein specific data；
2) HSV space is converted into RGB color, display blood flow complete alternation imaging, and shows that contrast agent reaches each pixel
The time of point；
3) three layers are divided into sequence, carry out coded representation hsv color spatial parameter with every layer of data；
4) HSV space is converted into RGB color, shows blood flow arterial phase, venous phase, three width image of venous sinus phase.
2. the Layering manifestation method of blood flow complete alternation imaging algorithm according to claim 1, which is characterized in that the step
1) wherein the particular data packet includes peak time (TTP), maximum reinforcement value (Imax)；The peak time refers to certain in sequence
At the time of the brightness value of pixel reaches peak value at one, the maximum reinforcement value is defined for single pixel point, as a certain
At the time of the brightness value of pixel at position reaches peak value in entire sequence, by the brightness peak of this pixel at moment with
The brightness value of the point subtracts each other in frisket, and obtained difference is defined as the maximum reinforcement value of the pixel brightness, wherein HSV parameter
Representation method the following steps are included:
2.1) the peak time TTP of each pixel position, maximum reinforcement value Imax in the sequence of calculation；
2.2) HSV colour model is used, with tone, i.e. the color of single pixel point indicates the concentration of developer at the point to reach to peak value
Time；When indicating that developer reaches the pixel with brightness, due to concentration to reach to peak value, the brightness of the pixel reaches most
Maximum reinforcement value when bright；Saturation degree is a constant, is selected as 0.8 herein.
3. the Layering manifestation method of blood flow complete alternation imaging algorithm according to claim 1, which is characterized in that the step
3) thinking is layered in are as follows: tens frame images in sequence are divided into 3 layers, can reach and filter out blood flow arterial phase, blood flow vein respectively
Phase, blood flow venous sinus device contrastographic picture purpose, by complicated blood flow information be divided into three stages display, can more realize essence
Certainly position clearly shows that the peak time of each blood vessel pixel, for every layer data coded representation hsv color spatial parameter packet
Include following steps:
3.1) formula is set in first layer, as long as peak time is higher than all time-consuming one third, by the value brightness of this point
Set 0；
3.2) maximum reinforcement value threshold value is set in the second layer, is filtered out and is higher than the maximum reinforcement value of this threshold value in the second layer and shows
Show, rest of pixels point brightness sets 0；
3.3) maximum reinforcement value threshold value is set in third layer, filters out the maximum reinforcement value for being higher than this threshold value in third layer and is shown
Show, rest of pixels point brightness sets 0.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810359504.0A CN108937978A (en) | 2018-04-20 | 2018-04-20 | A kind of Layering manifestation method of blood flow complete alternation imaging algorithm |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810359504.0A CN108937978A (en) | 2018-04-20 | 2018-04-20 | A kind of Layering manifestation method of blood flow complete alternation imaging algorithm |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108937978A true CN108937978A (en) | 2018-12-07 |
Family
ID=64498720
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810359504.0A Pending CN108937978A (en) | 2018-04-20 | 2018-04-20 | A kind of Layering manifestation method of blood flow complete alternation imaging algorithm |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108937978A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112200022A (en) * | 2020-09-23 | 2021-01-08 | 上海联影医疗科技股份有限公司 | Image processing method, medical imaging apparatus, and storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101049244A (en) * | 2006-03-16 | 2007-10-10 | 西门子公司 | Method and device for dividually three-dimension displaying human body artery and vein |
| CN101380232A (en) * | 2007-09-03 | 2009-03-11 | 西门子公司 | Method and magnetic resonance system to optimize mr images |
| CN102696056A (en) * | 2009-08-17 | 2012-09-26 | 米斯特雷塔医疗有限公司 | System and method for four dimensional angiography and fluoroscopy |
| CN102697565A (en) * | 2012-07-03 | 2012-10-03 | 重庆大学 | In-vivo tracking and positioning method of remote control delivery capsule based on scintiscan |
| JP2015112232A (en) * | 2013-12-11 | 2015-06-22 | 株式会社東芝 | Image analysis apparatus and x-ray diagnostic apparatus |
| JP2015128467A (en) * | 2014-01-06 | 2015-07-16 | 株式会社東芝 | Medical image processing device, x-ray diagnostic apparatus, and medical image processing program |
| CN105139030A (en) * | 2015-08-18 | 2015-12-09 | 青岛海信医疗设备股份有限公司 | Method for sorting hepatic vessels |
| CN105411612A (en) * | 2014-09-11 | 2016-03-23 | 株式会社东芝 | Image processing device and X-ray diagnostic apparatus |
| WO2017112554A1 (en) * | 2015-12-21 | 2017-06-29 | The Regents Of The University Of California | Perfusion digital subtraction angiography |
-
2018
- 2018-04-20 CN CN201810359504.0A patent/CN108937978A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101049244A (en) * | 2006-03-16 | 2007-10-10 | 西门子公司 | Method and device for dividually three-dimension displaying human body artery and vein |
| CN101380232A (en) * | 2007-09-03 | 2009-03-11 | 西门子公司 | Method and magnetic resonance system to optimize mr images |
| CN102696056A (en) * | 2009-08-17 | 2012-09-26 | 米斯特雷塔医疗有限公司 | System and method for four dimensional angiography and fluoroscopy |
| CN102697565A (en) * | 2012-07-03 | 2012-10-03 | 重庆大学 | In-vivo tracking and positioning method of remote control delivery capsule based on scintiscan |
| JP2015112232A (en) * | 2013-12-11 | 2015-06-22 | 株式会社東芝 | Image analysis apparatus and x-ray diagnostic apparatus |
| JP2015128467A (en) * | 2014-01-06 | 2015-07-16 | 株式会社東芝 | Medical image processing device, x-ray diagnostic apparatus, and medical image processing program |
| CN105411612A (en) * | 2014-09-11 | 2016-03-23 | 株式会社东芝 | Image processing device and X-ray diagnostic apparatus |
| CN105139030A (en) * | 2015-08-18 | 2015-12-09 | 青岛海信医疗设备股份有限公司 | Method for sorting hepatic vessels |
| WO2017112554A1 (en) * | 2015-12-21 | 2017-06-29 | The Regents Of The University Of California | Perfusion digital subtraction angiography |
Non-Patent Citations (2)
| Title |
|---|
| 吴虓: "彩色血流全循环成像技术在脑血流动力学评估中的应用", 《中国优秀硕士学位论文全文数据库医药卫生科技辑》 * |
| 张红振等: "《眼科疾病临床诊疗学上》", 31 March 2018, 长春：吉林科学技术出版社 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112200022A (en) * | 2020-09-23 | 2021-01-08 | 上海联影医疗科技股份有限公司 | Image processing method, medical imaging apparatus, and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10398344B2 (en) | Apparatus, methods and articles for four dimensional (4D) flow magnetic resonance imaging | |
| CN104363834B (en) | Image processing apparatus and radiographic apparatus | |
| US10089744B2 (en) | Vessel segmentation | |
| US7734078B2 (en) | System and method for generating composite substraction images for magnetic resonance imaging | |
| EP2956906B1 (en) | Analysing video images of a subject to identify spatial image areas which contain periodic intensity variations | |
| KR101262338B1 (en) | Method and system for processing multiple series of biological images obtained from a patient | |
| CN108899075A (en) | A kind of DSA image detecting method, device and equipment based on deep learning | |
| US20060098876A1 (en) | Method for encoding image pixels a method for processing images and a method for processing images aimed at qualitative recognition of the object reproduced by one or more image pixels | |
| KR101761510B1 (en) | Apparatus and method for generating fundus image filters for vascular visualization of fundus image | |
| CN108335270A (en) | A kind of multiple image blood vessel feature recognition and the color coding approach of information fusion | |
| WO2017135635A1 (en) | Method for analyzing blood flow by using medical image | |
| CN108937978A (en) | A kind of Layering manifestation method of blood flow complete alternation imaging algorithm | |
| Kim et al. | New parametric imaging method with fluorescein angiograms for detecting areas of capillary nonperfusion | |
| CN111179288A (en) | Interactive contrast blood vessel segmentation method and system | |
| CN114302671B (en) | Method for realizing radiography through image information post-processing and medical imaging system | |
| CN110415243B (en) | Angiography image data processing method and image data processing device | |
| Alali | Enhancement of illumination for medical image processing and early detection of lesions | |
| KR102611037B1 (en) | Apparatus and method for extracting vascular function from brain-related information | |
| RU2627270C1 (en) | Method for forming composite parameter image from series of angiographic digital subtraction frames | |
| EP3808253A1 (en) | High dynamic range vital signs extraction | |
| CN116883589A (en) | Angiography image reconstruction method based on artificial intelligence algorithm | |
| CN115690114A (en) | Coronary artery segmentation method and device, electronic equipment and storage medium | |
| CN117100396A (en) | Operation guidance information display method and device, medical imaging equipment and storage medium | |
| Spreeuwers et al. | Analysis of successive data sets | |
| JPH0922454A (en) | Image processor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20181207 |
|
| WD01 | Invention patent application deemed withdrawn after publication |