CN116636866A - Method, device and storage medium for accurately displaying angiographic image stent - Google Patents

Method, device and storage medium for accurately displaying angiographic image stent Download PDF

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CN116636866A
CN116636866A CN202310558580.5A CN202310558580A CN116636866A CN 116636866 A CN116636866 A CN 116636866A CN 202310558580 A CN202310558580 A CN 202310558580A CN 116636866 A CN116636866 A CN 116636866A
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balloon
image
determining
target
stent
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CN116636866B (en
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熊越
刘春燕
解菁
杨贺
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Beijing Wemed Medical Equipment Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
    • 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
    • A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
    • A61B6/504—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for diagnosis of blood vessels, e.g. by angiography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61F—FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
    • A61F2/00—Filters implantable into blood vessels; Prostheses, i.e. artificial substitutes or replacements for parts of the body; Appliances for connecting them with the body; Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g. stents
    • A61F2/95—Instruments specially adapted for placement or removal of stents or stent-grafts
    • A61F2/958—Inflatable balloons for placing stents or stent-grafts
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
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    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
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    • G06T2207/20216—Image averaging
    • 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
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    • 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
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular

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Abstract

The present disclosure provides a method, an apparatus, and a storage medium for fine display of a stent of an angiographic image, the fine display method comprising: under the condition that the expanding stent is arranged in the target blood vessel and the balloon is contracted to be retracted, acquiring a sequence of contrast images of the target blood vessel, wherein the target blood vessel moves along with the physiological periodic movement; for each contrast image, extracting two balloon marker points near both ends in the balloon length direction; for each contrast image, determining a target region surrounding the balloon based on the extracted two balloon-marker points; for each contrast image, determining a skeleton line of the balloon based on the target region; and (3) carrying out elastic registration and fusion on the contrast images based on the skeleton lines of the sacculus of each contrast image, thereby obtaining the target image of the precise display bracket. By adopting the fine display method, the target image of the fine display bracket can be obtained, which is favorable for the correct placement of the bracket, the inspection of the deployment of the bracket and the fine control of the bracket.

Description

Method, device and storage medium for accurately displaying angiographic image stent
Technical Field
The present disclosure relates to the field of medical imaging technologies, and in particular, to a method and an apparatus for accurately displaying an angiographic image stent, and a storage medium.
Background
Digital subtraction (Digital subtraction angiography, DSA) technology is a gold standard for diagnosing and treating cardiovascular diseases and has an important medical role. Among them, coronary stent implantation is the most effective means for treating acute vascular occlusion of percutaneous transluminal coronary angioplasty and revascularization. However, due to the complexity of the coronary structure and the drawbacks of the contrast imaging procedure itself, there is a limit to the clinical diagnosis of coronary stent implantation surgery. The existing contrast image formed after the contrast imaging cannot clearly display the stent, so that a doctor cannot be assisted in deployment in advance, and fine control on the stent cannot be realized.
Disclosure of Invention
Aiming at the technical problems in the prior art, the disclosure provides a method, a device and a storage medium for accurately displaying a stent of an angiography image, which can obtain a target image of the accurately displayed stent, are beneficial to correctly placing the stent and checking the deployment of the stent, and realize the fine control of the stent.
In a first aspect, embodiments of the present disclosure provide a method for refining a stent of an angiographic image, the refining method including steps S101 to S105. Step S101: in the case of deployment of a deployment stent within a target vessel and balloon deflation to be retracted, a sequence of contrast images of the target vessel is acquired, the target vessel moving with a physiological periodic movement. Step S102: for each of the contrast images, two balloon-marker points near both ends in the balloon length direction are extracted. Step S103: for each contrast image, a target region surrounding the balloon is determined based on the extracted two balloon-marker points. Step S104: for each contrast image, a skeleton line of the balloon is determined based on the target region. Step S105: and (3) carrying out elastic registration and fusion on the contrast images based on the skeleton lines of the sacculus of each contrast image, thereby obtaining the target image of the precise display bracket.
In a second aspect, embodiments of the present disclosure further provide a device for refining a stent of an angiographic image, which includes a processor configured to perform the method for refining a stent of an angiographic image described above.
In a third aspect, embodiments of the present disclosure further provide a storage medium storing a computer program which, when executed by a processor, implements the method for refining a stent of angiographic images described above.
Compared with the prior art, the beneficial effects of the embodiment of the disclosure are that: according to the method, under the condition that the expansion bracket is arranged in the target blood vessel and the balloon is contracted to be retracted, a sequence of the angiography image of the target blood vessel is obtained, balloon mark points are extracted from the sequence of the angiography image to determine the target area surrounding the balloon and the skeleton line of the balloon, so that elastic registration and fusion of the angiography image are carried out based on the skeleton line, the target image of the precise display bracket is obtained, namely the bracket is clearly displayed on the target image, a better precise display effect is achieved, correct placement of the bracket and deployment of the bracket are checked, and precise control of the bracket is realized.
Drawings
In the drawings, which are not necessarily drawn to scale, like numerals may describe similar components in different views. The same reference numerals with letter suffixes or different letter suffixes may represent different instances of similar components. The accompanying drawings illustrate various embodiments by way of example in general and not by way of limitation, and together with the description and claims serve to explain the disclosed embodiments. Wherever possible, the same reference numbers will be used throughout the drawings to refer to the same or like parts. Such embodiments are illustrative and not intended to be exhaustive or exclusive of the present apparatus or method.
FIG. 1 is a first flowchart of a method of refining a stent of angiographic images according to an embodiment of the disclosure;
FIG. 2 is a schematic diagram of a balloon and a stent in a method for refining a stent of an angiographic image according to an embodiment of the disclosure, the balloon being shown in a pressurized state;
FIG. 3 is a schematic view of a balloon and a stent in a method of refining a stent of an angiographic image according to an embodiment of the disclosure, the balloon shown in a contracted and to-be-retracted state;
FIG. 4 is a second flowchart of a method of refining a stent of angiographic images according to an embodiment of the disclosure;
FIG. 5 is a schematic illustration of a coordinate system of elastic registration by a fine display method of a stent of angiographic images according to an embodiment of the disclosure;
FIG. 6 is a third flowchart of a method of refining a stent of angiographic images according to an embodiment of the disclosure;
fig. 7 is a block diagram of a stent refinement device of an angiographic image according to an embodiment of the disclosure.
Detailed Description
Various aspects and features of the disclosure are described herein with reference to the drawings.
It should be understood that various modifications may be made to the embodiments of the application herein. Therefore, the above description should not be taken as limiting, but merely as exemplification of the embodiments. Other modifications within the scope and spirit of this disclosure will occur to persons of ordinary skill in the art.
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and, together with a general description of the disclosure given above and the detailed description of the embodiments given below, serve to explain the principles of the disclosure.
These and other characteristics of the present disclosure will become apparent from the following description of a preferred form of embodiment, given as a non-limiting example, with reference to the accompanying drawings.
It should also be understood that, although the present disclosure has been described with reference to some specific examples, those skilled in the art can certainly realize many other equivalent forms of the present disclosure.
The above and other aspects, features and advantages of the present disclosure will become more apparent in light of the following detailed description when taken in conjunction with the accompanying drawings.
Specific embodiments of the present disclosure will be described hereinafter with reference to the accompanying drawings; however, it is to be understood that the embodiments of the application are merely examples of the disclosure, which may be practiced in various ways. Well-known and/or repeated functions and constructions are not described in detail to avoid obscuring the disclosure in unnecessary or unnecessary detail. Therefore, specific structural and functional details disclosed herein are not intended to be limiting, but merely as a basis for the claims and as a representative basis for teaching one skilled in the art to variously employ the present disclosure in virtually any appropriately detailed structure.
The specification may use the word "in one embodiment," "in another embodiment," "in yet another embodiment," or "in other embodiments," which may each refer to one or more of the same or different embodiments in accordance with the disclosure.
The embodiment of the disclosure provides a method for accurately displaying a stent of an angiography image, which can be applied to an accurately displaying device of the stent of the angiography image. As shown in fig. 1, the fine display method includes steps S101 to S105.
Step S101: in the case of an endovascular deployment of the deployment stent 1 and a retraction of the balloon 2 to be retracted, a sequence of contrast images of the target vessel is acquired, the target vessel moving with a physiological periodic movement.
Specifically, the sequence of contrast images acquires images of the stent 1 in the target vessel that have been in a deployed state under the effect of inflation of the balloon 2, and the balloon 2 has been contracted in a decompressed state but not withdrawn. It should be noted that, implantation of the stent 1 can be achieved through a plurality of interventional instruments such as the guide wire 3 and the balloon 2, specifically, the balloon 2 can be threaded on the guide wire 3, the stent 1 is delivered to the stenotic lesion of the target vessel, and the stent 1 is expanded at the stenotic lesion of the target vessel by pressurizing the balloon 2. Specifically, in conjunction with fig. 2, the balloon 2 shown in fig. 2 is pressurized, while the stent 1 is forced to expand within the target vessel. After the stent 1 is fully expanded, the balloon 2 is decompressed, so that the balloon 2 is contracted, and then the balloon 2 and the guide wire 3 are retracted, so that the implantation of the stent 1 is completed, and the blood flow supply is improved. The sequence of contrast images acquired by the present disclosure is acquired without retracting the balloon 2 and guidewire 3. In particular, and with reference to fig. 3, the balloon 2 is shown in fig. 3 in a state that it has been contracted and is to be retracted.
Specifically, the above-mentioned sequence of the contrast images of the target blood vessel may be acquired with the patient in different positions, or the patient may be in the same position but the target blood vessel moves along with the physiological periodic movement due to the movement characteristics of the target blood vessel itself.
Step S102: for each of the contrast images, two balloon-marked points near both ends in the longitudinal direction of the balloon 2 are extracted.
Specifically, the above-mentioned balloon mark points are understood to be metal weld points marked as radio-opaque on the balloon 2, the two balloon mark points being located near both ends in the length direction of the balloon 2, respectively, and the position of the balloon 2 can be basically determined by extracting the two balloon mark points.
In some alternative embodiments, the two balloon-marking points may be extracted by a bottom cap operation and a local minimum algorithm, and the balloon-marking points may also be extracted by other operation methods, which is not specifically limited in the present disclosure, and two balloon-marking points may be accurately extracted.
Step S103: for each contrast image, a target area surrounding the balloon 2 is determined based on the extracted two balloon-marker points.
In some alternative embodiments, after the target area surrounding the balloon 2 is determined in each map, the target area that does not conform to the movement characteristics may be removed according to the movement characteristics of the target blood vessel, and only the target area that conforms to the movement characteristics of the target blood vessel may be calculated later.
Step S104: for each contrast image, a skeleton line of the balloon 2 is determined based on the target region.
Specifically, the skeleton line of the balloon 2 may be understood as a curve formed after the balloon 2 is contracted, or may be understood as a curve of the guide wire 3 penetrating the balloon 2. By determining the skeleton lines on the respective contrast images, the position and curve of the balloon 2 in the target vessel can be determined.
Step S105: elastic registration and fusion of the contrast images are performed based on the skeleton lines of the balloon 2 of each contrast image, thereby obtaining the target image of the fine display stent 1.
Therefore, by elastically registering and fusing a plurality of contrast images on the skeleton lines of the saccule 2 of each contrast image, the robustness of the image intensity value in the contrast image around the area corresponding to the bracket 1 is enhanced, the target image which is displayed by background desalination and enhanced by the bracket 1 can be obtained, the fine display effect of the bracket 1 on the target image is realized, and meanwhile, the processing efficiency is also improved.
The present disclosure obtains a sequence of contrast images of a target vessel by arranging the deployment stent 1 within the target vessel and contracting the balloon 2 to be retracted, and extracts balloon marker points for the sequence of contrast images to determine a target region surrounding the balloon 2 and a skeleton line of the balloon 2. The skeleton line of the balloon 2 in the contracted state to be withdrawn, as shown in fig. 3, accurately anchors the region where the stent 1 is located, because the stent 1 is almost stationary with respect to the skeleton line of the balloon 2 during image acquisition, and the physiological tissue (such as a blood vessel) of the background portion is significantly moved with respect to the skeleton line along with the physiological periodic movement. The elastic registration and fusion of a plurality of contrast images are carried out based on the skeleton line, so that the image intensity value of the region where the bracket 1 is located can be subjected to robustness and reinforcement, the background is relatively desalted, the target image of the bracket 1 is accurately displayed, namely the bracket 1 is more clearly displayed on the target image, a better accurate display effect is achieved, the time for obtaining the target image of the accurate display result of the bracket 1 is approximately within 5 seconds, and the clinical real-time requirement can be fully met. In this way, correct placement of the stent 1 and inspection of the deployment of the stent 1 is facilitated, as well as fine control of the stent 1 is achieved.
In some embodiments, as shown in fig. 4, the elastic registration and fusion of the contrast images is performed based on the skeleton line of the balloon 2 of each contrast image in step S105, specifically including steps S201 to S206.
Step S201: a reference image is selected from the sequence of contrast images.
Step S202: a curved coordinate system is determined based on the skeleton lines of the balloon 2 in the respective contrast images.
Step S203: and determining the mapping relation between the first coordinates of each point in the reference image in the curve coordinate system and the positions of the corresponding points in the reference image.
Step S204: for each contrast image to be elastically registered and fused with the reference image, a second coordinate of the point in the curved coordinate system is determined based on the position of the point in the contrast image.
Step S205: and determining the corresponding position of the point in the reference image by using the mapping relation based on the second coordinates of the point, thereby obtaining a group of registration points corresponding to each position in the reference image.
Step S206: and carrying out weighted summation on the intensity values of the alignment points of the corresponding group on each position in the reference image.
In some alternative embodiments, after step S206 is performed, the result of the weighted summation may be histogram equalized to stretch the contrast, so as to obtain the target image of the fine display bracket 1.
In particular, after determining the skeleton line of the balloon 2, for the sake of convenient registration, for each frame of image of the sequence of contrast images a skeleton line-based coordinate system is established, the curve hereinafter being understood as the skeleton line described above. As shown in fig. 5, first, let P be a point on the image, d 1 Is the distance from the point to the curve, F p Is the projection point of the P point on the curve, O t Marking points M for two balloons 1 And M 2 At the midpoint of the curve, let d 2 Is O t To F p Is a curved distance of (2). Each point P corresponds to one (d 1 ，d 2 ) Thus we can build a curve-based coordinate system, let (d) 1 ，d 2 ) Consider the coordinates of point P in this coordinate system. To avoid ambiguity, for d 1 And d 2 Specifying that it takes positive and negativeConditions. Is provided withIs F p Normal vector of the plot ∈ ->Is F p The tangential vector at the position is set to d 1 Is the cross of the positive and negative sum vectors of (2)>Is consistent with the positive and negative of (a). For d 2 Setting Ot as the origin of the abscissa of the curve, O t To M 1 Is the positive direction, O t To M 2 Is a negative direction.
Further, provideThe t frame image is I t ，T t Is I t Last point P' t To a curve coordinate system (d 1 ，d 2 ) Mapping of->Is T t From the inverse mapping of the curve coordinate system (d 1 ，d 2 ) To point P' t Mapping of->Andand the same is true. The idea of registration is that the points on the image to be registered are mapped to a curve coordinate system to obtain curve coordinates, and then the curve coordinates are inversely mapped back to the reference image, so that the corresponding points of the points on the image to be registered on the reference image are obtained. Image settingThe upper point P is in image I t Upper corresponding registration point P' t The method comprises the following steps:
image I t Any point P 'above' t To an imageThe transformation of the upper corresponding registration point P is:
each image I in the image sequence t Each point is transformed as above to obtain a corresponding set of registration points P to be recorded asFor all I in the image sequence t Is transformed to obtain +.>Fusion was performed and the result was obtained using I enhanced The fusion method is represented by adding and taking the average value:
by the method of superposition and averaging after registration, the background part of the image is desalted, and the structure of the bracket 1 is relatively enhanced for display, so that the bracket 1 can realize precise display in the obtained target image.
In some alternative embodiments, I will be enhanced Histogram equalization is performed to stretch the contrast, thereby obtaining a final bracket 1 refined image.
In some embodiments, the curvilinear coordinate system includes a first coordinate indicating a directed distance between the point and a projected point on the skeleton line and a second coordinate indicating a directed distance between a midpoint between the two balloon-marker points along the skeleton line and the projected point.
Illustratively, as shown in FIG. 5, P is a point on the image, d 1 Is the distance from the P point to the curve, F p Is the projection point of the P point on the curve, O t Marking points M for two balloons 1 And M 2 At the midpoint of the curve, let d 2 Is O t To F p Is a curved distance of (2). d, d 1 And d 2 May be defined as a directed distance. For example, d thereof 1 And d 2 The positive and negative of (c) can be defined as follows. Is provided withIs F p Normal vector of the plot ∈ ->Is F p The tangential vector at the position is set to d 1 Is the cross of the positive and negative sum vectors of (2)>Is consistent with the positive and negative of (a). For d 2 Setting O t Is the origin of the abscissa of the curve, O t To M 1 Is the positive direction, O t To M 2 Is a negative direction.
In some embodiments, the target vessel comprises a coronary artery and the physiologically periodic motion comprises a cardiac cycle. This is by way of example only, where the physiological periodic motion includes respiratory cycles, and the like, and the target vessel may also include vessels at other sites, such as pulmonary arteries, and the like.
Since the stent 1 is almost static relative to the skeleton line of the balloon 2 and the other background parts are moving relative to the skeleton line of the balloon 2 due to heart beating in the image acquisition process, the background parts of the images are desalted by the method of superposition averaging after registration, and the structure of the stent 1 is relatively enhanced for displaying the accurately displayed target image, so that the stent 1 can be more intuitively and clearly displayed on the target image for the condition that the target blood vessel comprises coronary artery.
In some embodiments, determining the skeleton line of the balloon 2 for each contrast image of step S104 based on the target region specifically includes:
based on the target region, a fitting curve is determined for the balloon 2 as the skeleton line using a Hessian matrix.
In some embodiments, as shown in fig. 6, the determining a fitting curve for the balloon 2 using a Hessian matrix as the skeleton line based on the target area specifically includes steps S301 to S304.
Step S301: and determining a plurality of scale factors in a preset value range.
Step S302: and calculating characteristic values respectively corresponding to the determined scale factors by using the Hessian matrix.
Step S303: and calculating a first output value of a similarity function of the pixel points in the image of the target area under each scale factor.
Step S304: a fitted curve corresponding to the balloon 2 within the target region is determined based on the respective first output values. The method comprises the steps of carrying out a first treatment on the surface of the
Specifically, the scale factor may be initialized to δ, and a range of values for the scale space may be set, for example, a preset range of values is an integer between 1 and 5. For each scale factor, computing the convolution of the image with the gaussian filter second order partial derivative, constituting a Hessian matrix:
wherein;
wherein; delta is a scale factor, G (x, y; delta) is a two-dimensional Gaussian function, and the expression is:
calculating eigenvalue lambda of Hessian matrix based on the above formula 1 And lambda (lambda) 2 。
Further, calculating the output z (x, y, delta) of the similarity function of the pixel point under the scale factor by adopting the following formula;
wherein, let two eigenvalues of Hessian matrix H (x, y) be lambda respectively 1 And lambda (lambda) 2 (|λ 1 |＜|λ 2 |) is provided; parameter R b Lambda of 1 And lambda (lambda) 2 Is the ratio of the modes of (a); s represents the norm of the matrix, its value being equal to the square root of the sum of the modular squares of the two eigenvaluesBeta and c are the control linear filter pair R b And a parameter of S sensitivity. Thus, the calculation of all scale factors in the scale space is completed.
In some embodiments, the determining, in step S304, a fitting curve corresponding to the balloon 2 in the target area based on the respective first output values specifically includes:
determining a maximum first output value in the first output values of the pixel points corresponding to the scale factors;
determining a second output value based on the maximum first output value and a scale factor corresponding to the maximum first output value;
performing binarization calculation on the second output value to obtain a region covered by the balloon 2;
and extracting a central line of the area covered by the balloon 2, wherein the central line is a fitting curve corresponding to the balloon 2 in the target area, and determining the fitting curve as the skeleton line.
Specifically, the maximum first output value z (x, y, delta) of the pixel point under different scale factors is calculated as the maximum first output value I of the point seg (x，y)：
I seg (x，y)＝max[z(x，y，δ)]The method comprises the steps of carrying out a first treatment on the surface of the Formula (11)
After determining the maximum first output value, the maximum first output value I seg (x, y) multiplied by the square of the current pixel scaling factor as a second output value. And for the second output value, after binarization calculation is used and the tiny noise is removed by taking the maximum connected domain, the area covered by the balloon 2 can be obtained.
Further, after the area covered by the balloon 2 is obtained, the center line of the area covered by the balloon 2 may be extracted, that is, a fitting curve corresponding to the balloon 2 in the target area may be obtained, and the fitting curve may be determined as the skeleton line, so that the skeleton line of the balloon 2 on each of the radiography images may be determined.
In some embodiments, for each contrast image, step S103, determining a target area surrounding the balloon 2 based on the extracted two balloon-marker points, specifically includes:
determining a plurality of gray level change extreme points in the vertical direction between the two balloon mark points;
sequentially connecting a plurality of gray level change extreme points to obtain a first curve corresponding to the shape of the balloon 2;
and determining the target area according to the first curve.
After the two balloon marking points are determined, the gray level change is determined within a certain range in the vertical direction of a line segment connecting the two balloon marking pointsLocal extremum points. Since the region edge corresponding to the balloon is also largely changed in gradation, the local extreme point of the gradation change may be a point on the balloon (or a tissue with a strong edge such as a rib). In this way, by determining a plurality of gradation change extreme points in the vertical direction between two balloon-marking points, the position of the balloon can be further determined, and thereby the target region including the balloon and the balloon-marking points can be determined. Specifically, after calculating the extreme point of the gray level change in the vertical direction between the two balloon-marked points, the extreme points may be connected in parallel to obtain a first curve l mark According to the first curve l mark And determining the target area.
For example, a first curve l may be used mark The midpoint of the graph is l mark-center Centered at l respectively mark Direction sum l mark Is extended in the vertical direction of (1) mark 1/3 of the length of the image, a target region of the contrast image is obtained.
The embodiment of the present disclosure further provides a device for accurately displaying a stent of an angiographic image 110, as shown in fig. 7, where the device for accurately displaying a stent of an angiographic image 110 includes a processor 101, and the processor 101 is configured to execute the method for accurately displaying a stent of an angiographic image as described above.
The precise display device adopting the precise display method acquires the sequence of the contrast image of the target blood vessel under the condition that the stent 1 is arranged in the target blood vessel and the balloon 2 is contracted to be retracted, extracts balloon mark points for the sequence of the contrast image to determine a target area surrounding the balloon 2 and a skeleton line of the balloon 2, and performs elastic registration and fusion of the contrast image based on the skeleton line, thereby obtaining the target image of the precise display stent 1, namely, the stent 1 is clearly presented on the target image, achieving a better precise display effect, thus being beneficial to correct placement of the stent 1 and checking deployment of the stent 1, and realizing fine control of the stent 1.
The embodiment of the disclosure also provides a storage medium storing a computer program which, when executed by a processor, realizes the precise display method of the support of the angiographic image.
Note that according to various units in various embodiments of the present disclosure, they may be implemented as computer-executable instructions stored on a memory, which when executed by a processor, may implement the corresponding steps; may also be implemented as hardware having corresponding logic computing capabilities; and may also be implemented as a combination of software and hardware (firmware). In some embodiments, the processor may be implemented as any one of FPGA, ASIC, DSP chip, SOC (system on a chip), MPU (e.g., without limitation, cortex), etc. The processor may be communicatively coupled to the memory and configured to execute computer-executable instructions stored therein. The memory may include read-only memory (ROM), flash memory, random Access Memory (RAM), dynamic Random Access Memory (DRAM) such as Synchronous DRAM (SDRAM) or Rambus DRAM, static memory (e.g., flash memory, static random access memory), etc., upon which computer-executable instructions are stored in any format. Computer-executable instructions may be accessed by the processor, read from ROM or any other suitable memory location, and loaded into RAM for execution by the processor to implement a wireless communication method in accordance with various embodiments of the present disclosure.
It should be noted that among the various components of the system of the present disclosure, the components therein are logically divided according to the functions they are to implement, but the present disclosure is not limited thereto, and the various components may be re-divided or combined as needed, for example, some components may be combined into a single component, or some components may be further decomposed into more sub-components.
Various component embodiments of the present disclosure may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functions of some or all of the components in a system according to embodiments of the present disclosure may be implemented in practice using a microprocessor or Digital Signal Processor (DSP). The present disclosure may also be embodied as a device or apparatus program (e.g., computer program and computer program product) for performing a portion or all of the methods described herein. Such a program embodying the present disclosure may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form. In addition, the disclosure may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names.
Furthermore, although exemplary embodiments have been described herein, the scope thereof includes any and all embodiments having equivalent elements, modifications, omissions, combinations (e.g., of the various embodiments across schemes), adaptations or alterations based on the present disclosure. Elements in the claims are to be construed broadly based on language employed in the claims and not limited to examples described in the present specification or during the practice of the present disclosure, which examples are to be construed as non-exclusive. It is intended, therefore, that the specification and examples be considered as exemplary only, with a true scope and spirit being indicated by the following claims and their full scope of equivalents.
The above description is intended to be illustrative and not restrictive. For example, the above-described examples (or one or more aspects thereof) may be used in combination with each other. For example, other embodiments may be used by those of ordinary skill in the art upon reading the above description. In addition, in the above detailed description, various features may be grouped together to streamline the disclosure. This is not to be interpreted as an intention that the disclosed features not being claimed are essential to any claim. Rather, the disclosed subject matter may include less than all of the features of a particular disclosed embodiment. Thus, the following claims are hereby incorporated into the detailed description as examples or embodiments, with each claim standing on its own as a separate embodiment, and it is contemplated that these embodiments may be combined with one another in various combinations or permutations. The scope of the disclosure should be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled.
The above embodiments are merely exemplary embodiments of the present disclosure, which are not intended to limit the present disclosure, the scope of which is defined by the claims. Various modifications and equivalent arrangements of parts may be made by those skilled in the art, which modifications and equivalents are intended to be within the spirit and scope of the present disclosure.

Claims (10)

1. A method of refining a stent of an angiographic image, the method comprising:
under the condition that the expanding stent is arranged in a target blood vessel and the balloon is contracted to be retracted, acquiring a sequence of radiography images of the target blood vessel, wherein the target blood vessel moves along with the physiological periodic movement;
for each contrast image, extracting two balloon marker points near two ends of the balloon in the length direction;
for each contrast image, determining a target region surrounding the balloon based on the extracted two balloon-marker points;
for each contrast image, determining a skeleton line of the balloon based on the target region;
and (3) carrying out elastic registration and fusion on the contrast images based on the skeleton lines of the sacculus of each contrast image, thereby obtaining the target image of the precise display bracket.
2. The fine display method according to claim 1, wherein the elastic registration and fusion of the contrast images are performed based on the skeleton lines of the balloons of the respective contrast images, specifically comprising:
selecting a reference image from the sequence of contrast images;
determining a curve coordinate system based on the skeleton lines of the balloon in each contrast image;
determining a mapping relation from a first coordinate of each point in a reference image in a curve coordinate system to a position of a corresponding point in the reference image;
for each contrast image to be elastically registered and fused with the reference image, determining a second coordinate of each point in the curve coordinate system based on the position of the point in the contrast image;
determining the corresponding position of the point in the reference image by utilizing the mapping relation based on the second coordinates of the point, thereby obtaining a group of registration points corresponding to each position in the reference image;
and carrying out weighted summation on the intensity values of the alignment points of the corresponding group on each position in the reference image.
3. The method of refining of claim 2, the curvilinear coordinate system comprising a first coordinate indicating a directed distance between the point and a projected point on the skeleton line and a second coordinate indicating a directed distance between a midpoint between the two balloon-marked points along the skeleton line and the projected point.
4. The method of claim 1, the target vessel comprising a coronary artery, the physiologically periodic motion comprising a cardiac cycle.
5. The method of any one of claims 1-4, for each contrast image, determining a skeleton line of the balloon based on the target region, comprising:
based on the target region, a fitting curve is determined for the balloon as the skeleton line using a Hessian matrix.
6. The method of claim 5, wherein determining a fitting curve for the balloon as the skeleton line based on the target region using a Hessian matrix, specifically comprises:
determining a plurality of scale factors in a preset value range;
calculating characteristic values respectively corresponding to the determined scale factors by using a Hessian matrix;
calculating a first output value of a similarity function of pixel points in the image of the target area under each scale factor;
a fitted curve corresponding to the balloon within the target region is determined based on the respective first output values.
7. The method according to claim 6, wherein the determining a fitting curve corresponding to the balloon in the target area based on the respective first output values specifically includes:
determining a maximum first output value in the first output values of the pixel points corresponding to the scale factors;
determining a second output value based on the maximum first output value and a scale factor corresponding to the maximum first output value;
performing binarization calculation on the second output value to obtain a region covered by the balloon;
extracting a central line of an area covered by the balloon, wherein the central line is a fitting curve corresponding to the balloon in the target area, and determining the fitting curve as the skeleton line.
8. The fine display method according to claim 1, wherein for each contrast image, a target region surrounding the balloon is determined based on the extracted two balloon-marker points, specifically comprising:
determining a plurality of gray level change extreme points in the vertical direction between the two balloon mark points;
sequentially connecting a plurality of gray level change extreme points to obtain a first curve corresponding to the shape of the balloon;
and determining the target area according to the first curve.
9. A stent refinement apparatus of an angiographic image, comprising a processor configured to perform a stent refinement method of an angiographic image according to any one of claims 1 to 8.
10. A storage medium storing a computer program which, when executed by a processor, implements a method of refining a stent of angiographic images according to any one of claims 1 to 8.
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