CN114340498A

CN114340498A - Aneurysm Ai processing method and product based on VRDS 4D medical image

Info

Publication number: CN114340498A
Application number: CN201980099774.5A
Authority: CN
Inventors: 斯图尔特平·李; 戴维伟·李
Original assignee: Weiai Medical Technology Shenzhen Co ltd
Current assignee: Cao Sheng
Priority date: 2019-10-30
Filing date: 2019-10-30
Publication date: 2022-04-12
Also published as: WO2021081835A1

Abstract

An aneurysm Ai processing method and product based on VRDS 4D medical image are applied to a medical imaging device (500), and the method comprises the following steps: acquiring target medical image data of a target part of a target user (S201); performing 4D medical imaging according to the target medical image data, and determining a target position of the aneurysm on the target artery according to the imaging result (S202); positioning an aneurysm according to the target position, analyzing the structural characteristics of the aneurysm, and confirming the type of the aneurysm according to the analysis result (S203); acquiring features of the aneurysm, and confirming the risk degree of the aneurysm according to the features of the aneurysm (S204); the kind and risk level of the aneurysm are outputted (S205).

Description

Aneurysm Ai processing method and product based on VRDS 4D medical image

Technical Field

The application relates to the technical field of medical imaging devices, in particular to an aneurysm Ai processing method and product based on VRDS 4D medical images.

Background

Currently, doctors still use the view of continuous two-dimensional slice scan images, such as CT (computed tomography), MRI (magnetic resonance imaging), DTI (diffusion tensor imaging), PET (positron emission tomography), etc., to judge and analyze the pathological tissues, such as tumors, of patients. However, the spatial structural characteristics of the artery cannot be determined by simply looking directly at the two-dimensional slice data, which seriously affects the diagnosis of disease by the physician.

Disclosure of Invention

The embodiment of the application provides an aneurysm Ai processing method and product based on VRDS 4D medical images, so that accuracy and efficiency of aneurysm identification are improved.

In a first aspect, an embodiment of the present application provides a tumor and blood vessel Ai processing method based on VRDS 4D medical images, which is applied to a medical imaging apparatus; the method comprises the following steps:

acquiring target medical image data of a target part of a target user, wherein the target part comprises a target artery;

performing 4D medical imaging according to the target medical image data, and determining a target position of the aneurysm on the target artery according to an imaging result;

positioning the aneurysm according to the target position, analyzing the structural characteristics of the aneurysm, and confirming the type of the aneurysm according to the analysis result;

acquiring the characteristics of the aneurysm, and determining the risk degree of the aneurysm according to the characteristics of the aneurysm;

outputting the type of the aneurysm and the degree of risk.

In a second aspect, the present application provides an Ai processing apparatus for an aneurysm based on VRDS 4D medical image, which is applied to a medical imaging apparatus; the Ai processing device for the aneurysm based on VRDS 4D medical image comprises a processing unit and a communication unit, wherein,

the processing unit is used for acquiring target medical image data of a target part of a target user, wherein the target part comprises a target artery; and for performing 4D medical imaging from the target medical image data, determining a target location of an aneurysm on the target artery from the imaging result; the system is used for positioning the aneurysm according to the target position, analyzing the structural characteristics of the aneurysm, and confirming the type of the aneurysm according to the analysis result; and for obtaining characteristics of the aneurysm, determining a risk level of the aneurysm according to the characteristics of the aneurysm; and for outputting, by the communication unit, the type of aneurysm and the degree of risk.

In a third aspect, the present application provides a medical imaging apparatus, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in any of the methods of the first aspect of the present application.

In a fourth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform part or all of the steps described in any one of the methods of the first aspect of the present application.

In a fifth aspect, the present application provides a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps described in any one of the methods of the first aspect of the embodiments of the present application. The computer program product may be a software installation package.

It can be seen that, in the embodiment of the present application, a medical imaging apparatus first acquires target medical image data of a target portion of a target user, where the target portion includes a target artery, then performs 4D medical imaging according to the target medical image data, determines a target position on the target artery of an aneurysm according to an imaging result, then locates the aneurysm according to the target position, analyzes structural characteristics of the aneurysm, determines a type of the aneurysm according to an analysis result, then acquires features of the aneurysm, determines a risk level of the aneurysm according to the features of the aneurysm, and finally outputs the type of the aneurysm and the risk level. It can be seen that medical imaging device in this application can be through the 4D medical imaging who acquires target user's target site to can be accurate the location of location out aneurysm, and is further, thereby carry out analysis to the structure of aneurysm and confirm its kind, avoided because the problem that the space structure characteristic that two-dimensional slice scanning image can't demonstrate the target artery leads to aneurysm identification inefficiency, the degree of accuracy of aneurysm identification has been improved, and is further, can confirm its danger degree according to the characteristic of aneurysm, thereby let the user know the severity of this disease more.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic structural diagram of a VRDS 4D medical image-based intelligent analysis processing system according to an embodiment of the present application;

fig. 2 is a flowchart illustrating an Ai processing method for aneurysm based on VRDS 4D medical image according to an embodiment of the present application;

FIG. 3 is a schematic diagram of a structure of a different type of aneurysm provided by an embodiment of the present application;

FIG. 4 is a schematic inner diameter view of a target artery provided by an embodiment of the present application;

FIG. 5 is a schematic structural diagram of a medical imaging apparatus provided in an embodiment of the present application;

fig. 6 is a block diagram of functional units of an Ai processing device for aneurysms based on VRDS 4D medical images according to an embodiment of the present application.

Detailed Description

In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The medical imaging apparatus according to the embodiments of the present application refers to various apparatuses that reproduce the internal structure of a human body as an image using various media as information carriers, and the image information corresponds to the actual structure of the human body in terms of spatial and temporal distribution. The "DICOM data" refers to original image file data which reflects internal structural features of a human body and is acquired by medical equipment, and may include information such as computed tomography CT, magnetic resonance MRI, diffusion tensor imaging DTI, positron emission tomography PET-CT, and the "map source" refers to Texture2D/3D image volume data generated by analyzing the original DICOM data. "VRDS" refers to a Virtual Reality medical system (VRDS).

Referring to fig. 1, fig. 1 is a schematic structural diagram of an intelligent analysis processing system 100 based on VRDS 4D medical images according to an embodiment of the present application, where the system 100 includes a medical imaging apparatus 110 and a network database 120, where the medical imaging apparatus 110 may include a local medical imaging apparatus 111 and/or a terminal medical imaging apparatus 112, and the local medical imaging apparatus 111 or the terminal medical imaging apparatus 112 is configured to perform identification, positioning and four-dimensional volume rendering of an association relationship between a human tumor and a blood vessel based on raw DICOM data based on an Ai processing method of the tumor and the blood vessel based on the VRDS 4D medical images presented in the embodiment of the present application, so as to achieve a four-dimensional stereoscopic effect (the four-dimensional medical image specifically refers to a medical image including an internal spatial structural feature and an external spatial structural feature of a displayed tissue, the internal spatial structural feature refers to that slice data inside the tissue is not lost, that is, the medical imaging device may present the internal structure of the target organ, blood vessel, etc., and the external spatial structural characteristics refer to the environmental characteristics between tissues, including the spatial position characteristics (including intersection, spacing, fusion) between tissues, etc., such as the edge structural characteristics of the intersection position between the kidney and artery, etc.), the local medical imaging device 111 may also be used to edit the image source data with respect to the terminal medical imaging device 112, to form the transfer function result of the four-dimensional human body image, which may include the transfer function result of the internal organ surface of the human body and the tissue structure inside the internal organ of the human body, and the transfer function result of the cubic space, such as the number of sets of the cubic edit box and arc edit required by the transfer function, coordinates, color, transparency, etc. The network database 120 may be, for example, a cloud server, and the like, and the network database 120 is configured to store a map source generated by parsing the raw DICOM data and a transfer function result of the four-dimensional human body image edited by the local medical imaging apparatus 111, where the map source may be from a plurality of local medical imaging apparatuses 111 to implement interactive diagnosis of a plurality of doctors.

When the user performs specific image display by using the medical imaging apparatus 110, the user may select a display or a Head Mounted Display (HMDS) of the virtual reality VR to display in combination with an operation action, where the operation action is performed by the user through an external shooting device of the medical imaging apparatus, such as a mouse, a keyboard, a tablet computer (Pad), an ipad (internet portable device), and the like, to perform operation control on a four-dimensional human body image, so as to implement human-computer interaction, and the operation action includes at least one of the following: (1) changing the color and/or transparency of a specific organ/tissue, (2) positioning a zoom view, (3) rotating the view to realize multi-view 360-degree observation of a four-dimensional human body image, (4) entering 'internal observation of a human body organ, real-time shearing effect rendering', and (5) moving the view up and down.

The Ai processing method of aneurysm based on VRDS 4D medical image according to the embodiment of the present application will be described in detail below.

Referring to fig. 2, fig. 2 is a flowchart illustrating an Ai processing method for aneurysms based on VRDS 4D medical images according to an embodiment of the present application, which is applied to the medical imaging apparatus shown in fig. 1; as shown in the figure, the Ai processing method of aneurysm based on VRDS 4D medical image includes:

s201, the medical imaging device acquires target medical image data of a target part of a target user, wherein the target part comprises a target artery.

Wherein the target site may be carotid artery, subclavian artery, axillary artery, brachial artery, radial artery, iliac artery, femoral artery, etc.

Wherein, the target medical image data is obtained by processing an artery scanning image, and the artery scanning image comprises any one of the following images: CT images, MRI images, DTI images, PET-CT images.

S202, the medical imaging device carries out 4D medical imaging according to the target medical image data, and determines the target position of the aneurysm on the target artery according to the imaging result.

Wherein, 4D medical imaging refers to presenting four-dimensional medical images. The medical imaging device performs 4D medical imaging according to the target medical image data, and comprises: the medical imaging device screens enhanced data with a quality score larger than a preset score from the target medical image data to serve as VRDS 4D imaging data; 4D medical imaging is performed from the VRDS 4D imaging data.

The quality score can be comprehensively evaluated from the following dimensions, such as average gradient, information entropy, visual information fidelity, peak signal-to-noise ratio PSNR, structural similarity SSIM, mean square error MSE, and the like, and a common image quality scoring algorithm in the image field can be specifically referred to, and is not repeated here.

Therefore, the medical imaging device further performs data screening through quality grading, and the imaging effect is improved.

The imaging result shows the structural characteristics of the aneurysm and the related artery, and because the structure of the artery with the aneurysm is greatly different from the structure of the normal artery, the position with obvious deformation in the target part can be further judged, so that whether the aneurysm exists at the position can be determined.

S203, the medical imaging device positions the aneurysm according to the target position, analyzes the structural characteristics of the aneurysm, and confirms the type of the aneurysm according to the analysis result.

Aneurysms can be structurally classified into three categories: true aneurysm, false aneurysm, and sandwich aneurysm. Fig. 3 is a schematic structural diagram of different types of aneurysms provided by an embodiment of the present application, wherein a in fig. 3 is a normal artery, and it can be seen that a normal artery wall is composed of an outer wall, a middle mold and an inner mold, three films are connected with each other, no deformation and no laceration exist, blood flows normally, and the outer wall is discontinuous and smooth; the graph b and the graph c are true aneurysms, the whole layer of the artery wall bulges outwards and is in a boat shape or a fusiform shape, the artery wall has no crevasses, and the outer wall of the outwards bulged part is smooth and continuous, wherein the boat-shaped artery expands only to one side, so the artery blood vessels on the two sides are different in thickness (the blood vessel wall on the bulging side is thinner), and the fusiform artery expands uniformly to the two sides, so the artery blood vessels on the two sides are the same in thickness, and whether the artery blood vessels are true aneurysms in the boat shape can be further determined according to the consistency of the artery wall thickness; d, a pseudoaneurysm, which is a hematoma formed by blood flowing out of a laceration and being wrapped by adjacent tissues of the aorta after the artery wall is torn or punctured, so that the artery wall has lacerations and no deformation, and a lump is formed at the laceration, and if the lump is larger, the adjacent nerve can be pressed to cause harm; and e, the diagram is a dissected aneurysm, the dissected aneurysm is formed because of the pathological change or the development defect of the tunica media elastic fiber in the artery wall, the tunica intima is broken, blood enters the pathologic loose tunica media from the broken position of the tunica intima, the tunica media is longitudinally split along the blood flow direction to form a pseudovascular cavity, a double-lumen artery can be seen from the imaging result, because blood exists between the tunica intima and the tunica media, the tunica intima is inwards sunken, and if more blood exists in the pseudovascular cavity, the outer wall also outwards bulges and deforms.

S204, the medical imaging device acquires the features of the aneurysm, and the risk degree of the aneurysm is determined according to the features of the aneurysm.

The characteristics of the aneurysm include the size of the aneurysm, the degree of deformation of the target artery, and the vessel thickness of the target artery, among others. In the embodiment of the application, whether the aneurysm is dangerous or not can be determined according to the characteristics of the aneurysm.

Wherein if the target artery belongs to the aorta, the aneurysm is at risk.

S205, the medical imaging device outputs the type of the aneurysm and the risk level.

When the display screen of the medical imaging device outputs the type of the aneurysm, the image of the aneurysm and the risk degree of the aneurysm can be simultaneously output, and if the aneurysm is dangerous, an operation suggestion and an operation caution item are simultaneously displayed. Optionally, the medical history information of the target user may be acquired, and if the target user in the medical history information has hypertension at the same time, the operation advice is output regardless of whether the aneurysm is dangerous.

It can be seen that, in the embodiment of the present application, a medical imaging apparatus first acquires target medical image data of a target portion of a target user, where the target portion includes a target artery, then performs 4D medical imaging according to the target medical image data, determines a target position on the target artery of an aneurysm according to an imaging result, then locates the aneurysm according to the target position, analyzes structural characteristics of the aneurysm, determines a type of the aneurysm according to an analysis result, then acquires features of the aneurysm, determines a risk level of the aneurysm according to the features of the aneurysm, and finally outputs the type of the aneurysm and the risk level. It can be seen that medical imaging device in this application can be through the 4D medical imaging who acquires target user's target site to can be accurate the location of location out aneurysm, and is further, thereby carry out analysis to the structure of aneurysm and confirm its kind, avoided because the two-dimensional slice scanning image can't demonstrate the problem that aneurysm recognition efficiency is low that the spatial structure characteristic of target artery leads to, the degree of accuracy of aneurysm identification has been improved, and is further, can confirm its danger degree according to the characteristic of aneurysm, thereby let the user know the severity of this disease more.

In one possible example, the determining a target location of an aneurysm from the imaging result includes:

the medical imaging device determines the position where the target artery deforms according to the imaging result, wherein the deformation comprises the deformation of the target artery into a navicular shape or a fusiform shape or a crevasse;

the medical imaging device obtains edge characteristics of a position where the target artery deforms, and if the edge characteristics are continuous and smooth, the position where the target artery deforms is determined to be the target position.

If the target artery is deformed without a crevasse and the outer wall of the deformed part is continuous and smooth, the aneurysm may be a true aneurysm; if the target artery has a laceration and the outer wall of the laceration is continuous and smooth, the aneurysm may be a pseudoaneurysm or a dissecting aneurysm.

It can be seen that the target location of the aneurysm can be preliminarily determined from the edge characteristics at the target arterial structural abnormality.

In one possible example, the analyzing the structural characteristics of the aneurysm, and the determining the type of the aneurysm according to the analysis result includes:

if the target artery is deformed into a navicular shape or a fusiform shape and the target artery has no laceration, the aneurysm is true aneurysm;

if the target artery has no deformation and has a crevasse and a lump is formed at the crevasse, the aneurysm is a pseudo aneurysm;

and if the intima of the target artery is deformed inwards, and the intima and the media of the target artery form a blood vessel cavity, the aneurysm is a sandwich aneurysm.

Therefore, the type of the aneurysm can be judged according to the structural characteristics of the aneurysm, and corresponding treatment means can be adopted for different types of aneurysms so as to avoid misdiagnosis.

In one possible example, the characteristics of the aneurysm include a size of the aneurysm, and the obtaining the characteristics of the aneurysm includes:

the medical imaging device acquires spatial coordinate information of the target position;

the medical imaging device obtains the area and the swelling height of the aneurysm according to the space coordinate information, wherein the swelling height is the shortest distance between the highest point of the aneurysm and the outer wall of the target artery;

the medical imaging device determines the size of the aneurysm based on the area and the height of swelling of the aneurysm.

Once an aneurysm is formed, under the impact of arterial blood flow, fluid gradually expands and grows, the larger the diameter of the aneurysm is, the higher the pressure applied to the aneurysm wall is, the probability that the aneurysm with the diameter larger than 5cm is broken is greatly increased, and the rupture of the aneurysm causes death of a patient due to a large amount of blood loss, so that the aneurysm is called as an "in vivo blood vessel bomb". Therefore, the size of the aneurysm is obtained, and whether the risk is dangerous or not is judged reliably according to the size of the aneurysm.

After the target position of the aneurysm on the target artery is determined in the target medical image, the aneurysm can be located, space coordinate information of the aneurysm is obtained, the section of the joint of the aneurysm and the target artery is generally circular or fusiform, if the section is circular, the center and the radius of the circle are determined, the circular area is calculated, the aneurysm is treated as a partial sphere, the distance from the center of the circle to the highest point of the aneurysm, namely the swelling height, is determined, the volume of the aneurysm, namely the size of the aneurysm can be calculated according to the circular area and the swelling height, and similarly, the size of the aneurysm can be calculated if the section is fusiform.

In one possible example, the feature of the aneurysm includes a degree of deformation of the target artery, and the acquiring the feature of the aneurysm includes:

the medical imaging device obtains a first inner diameter of the target artery at the target position and a second inner diameter of the target artery which is not deformed near the target position according to the space coordinate information;

the medical imaging device determines a degree of deformation of the target artery based on the first inner diameter and the second inner diameter.

As shown in fig. 4, fig. 4 is a schematic diagram of the inner diameter of the target artery provided in the embodiment of the present application, and if the deformation is outward bulging, as shown in a diagram in fig. 4, the first inner diameter is a distance b from a highest bulging point to the other side of the blood vessel, and the second inner diameter is a, the degree of deformation c is (b-a)/a × 100%, and when the deformation is bilaterally symmetric bulging, the first inner diameter is a distance between the highest bulging points on the left and right sides of the blood vessel. If the aneurysm type is a dissecting aneurysm, as shown in fig. 4B, the first inner diameter includes a distance B from the highest swelling point to the other side of the blood vessel and a distance c from the lowest depression of the intima of the blood vessel to the other side of the blood vessel, and the degree of deformation c1 is (B-a)/a × 100%, and the degree of deformation c2 is (a-c)/a × 100%, and the larger of c1 and c2 is taken as the degree of deformation of the target artery.

In one possible example, the feature of the aneurysm includes a vessel thickness of the target artery, and the acquiring the feature of the aneurysm includes:

the medical imaging device obtains the blood vessel thickness of the target artery at the target position according to the space coordinate information.

If the target artery is in a fusiform shape, the thicknesses of blood vessels on two sides of the target artery are consistent; if only one side of the target artery bulges or is a dissecting aneurysm, the thicknesses of the blood vessels on the two sides of the target artery are different, the thickness of the blood vessel on the bulging side is obtained, and for the dissecting aneurysm, the thicknesses of the middle mold and the outer wall of the bulged artery are obtained.

In one possible example, the determining the risk level of the aneurysm from the characteristics of the aneurysm includes:

the medical imaging device acquires a normal size range of the aneurysm, a normal deformation degree range of the target artery and a normal thickness range of the target artery at the target position;

if the size of the aneurysm is larger than the normal size range, or/and the deformation degree of the target artery at the target position is larger than the normal deformation degree range, or/and the thickness of the blood vessel of the target artery at the target position is smaller than the normal thickness range, the medical imaging device confirms that the aneurysm is dangerous;

if the size of the aneurysm, the degree of deformation of the target artery at the target position, and the thickness of the blood vessel of the target artery at the target position are all within normal ranges, the medical imaging device confirms that the aneurysm is not dangerous.

Wherein, the normal size range of the aneurysm, the normal deformation degree range of the target artery and the normal thickness range of the target artery are obtained from the artery database or obtained in a networking manner. Different arteries, different locations in the same artery, have different requirements on the normal range of features of the aneurysm, and therefore, the normal size range, the normal deformation degree range, and the normal thickness range need to be determined according to the target artery attributes and the target location of the aneurysm. When any one of the size, the deformation degree and the thickness of the blood vessel of the aneurysm exceeds a normal range, the hemangioma can be determined to be in a dangerous state, if the body of a patient allows, an immediate operation is recommended, if the three are in the normal range, the possibility of the rupture of the hemangioma in a short period (before next reexamination) can be determined to be low, and the patient can be reminded to conduct the reexamination in time so as to prevent the hemangioma from expanding and losing control.

Optionally, the size of the aneurysm may be divided into a normal size range, a more dangerous size range, and a dangerous size range; dividing the deformation degree range of the blood vessel into a normal deformation degree range, a dangerous deformation degree range and a dangerous deformation degree range; dividing the thickness of the blood vessel into a normal thickness range, a dangerous thickness range and a dangerous thickness range; confirming the range of the size of the aneurysm, the range of the deformation degree of the target artery and the range of the blood vessel thickness of the target artery, and comprehensively determining the risk degree of the aneurysm according to the respective range categories of the three.

Therefore, the risk degree of the aneurysm can be determined according to the size of the aneurysm, the deformation degree of the target artery and the blood vessel thickness of the target artery, and the judgment method is simple and easy to implement and high in reliability.

In one possible example, the acquiring target medical image data of a target part of a target user includes:

the medical imaging device determines a Bitmap (BMP) data source according to a plurality of artery scanning images of the target part of the target user;

the medical imaging device leads the BMP data source into a preset VRDS medical network model to obtain first medical image data, wherein the first medical image data comprise an original data set of the target artery, and the original data set of the target artery comprises fusion data of the target artery and the aneurysm;

the medical imaging device leads the first medical image data into a preset cross blood vessel network model, and performs spatial segmentation processing on the fusion data through the cross blood vessel network model to obtain second medical image data, wherein the second medical image data comprises a data set of the target artery and a data set of the aneurysm;

the medical imaging device obtains the target medical image data according to the second medical image data.

The BMP (full Bitmap) is a standard image file format in the Windows operating system, and can be divided into two types: a Device Dependent Bitmap (DDB) and a Device Independent Bitmap (DIB). The scanned image includes any one of: CT images, MRI images, DTI images, PET-CT images.

The method for importing the BMP data source into the preset VRDS medical network model to obtain the first medical image data comprises the following steps: and importing a BMP data source into a preset VRDS medical network model, calling each transfer function in a prestored transfer function set through the VRDS medical network model, and processing the BMP data source through a plurality of transfer functions in the transfer function set to obtain first medical image data, wherein the transfer function set comprises a transfer function of a target artery and a transfer function of an aneurysm, which are preset through a reverse editor. The VRDS medical network model is provided with a transfer function of the structural characteristics of the target artery and a transfer function of the structural characteristics of the aneurysm, and the BMP data source obtains first medical image data through processing of the transfer functions.

The cross-vessel network model achieves data separation of the target artery and aneurysm by: (1) extracting fusion data of the cross positions; (2) separating the fusion data based on a preset data separation algorithm aiming at each fusion data to obtain mutually independent artery boundary point data and vein boundary point data; (3) and integrating the multiple artery boundary point data obtained after processing into first data, and integrating the multiple vein boundary point data obtained after processing into second data. Wherein the segmentation target comprises a target artery and an aneurysm.

In this example, the medical imaging device can process the BMP data source through the VRDS medical network model and the cross vascular network model, and obtain target image data by combining boundary optimization and data enhancement processing, thereby solving the problem that the traditional medical image cannot realize the medical field in which the whole artery and vein are separated, and improving the authenticity, comprehensiveness and refinement degree of medical image display.

In one possible example, the obtaining the target medical image data from the second medical image data includes:

the medical imaging device performs preset processing on the second medical image data to obtain the target medical image data, wherein the preset processing comprises at least one of the following operations: 2D boundary optimization processing, 3D boundary optimization processing and data enhancement processing.

The 2D boundary optimization process includes: and sampling for multiple times to obtain low-resolution information and high-resolution information.

The 3D boundary optimization process includes: 3D convolution, 3D max pooling and 3D up-convolution layers, the 3D boundary optimization process comprising the operations of: inputting the second medical image data into the 3D convolution layer for 3D convolution operation to obtain a feature map; inputting the feature map into a 3D pooling layer for pooling and nonlinear activation to obtain a first feature map; and carrying out cascade operation on the first feature map to obtain a prediction result.

Wherein the data enhancement processing includes any one of: data enhancement based on arbitrary angle rotation, data enhancement based on histogram equalization, data enhancement based on white balance, data enhancement based on mirroring operation, data enhancement based on random clipping, and data enhancement based on simulating different illumination variations.

Therefore, in the example, the target medical image data can be obtained after the preset processing is executed, and the obtained target medical image data is high in accuracy, strong in reliability and high in image quality.

In accordance with the embodiment shown in fig. 2, please refer to fig. 5, fig. 5 is a schematic structural diagram of a medical imaging apparatus 500 provided in an embodiment of the present application, as shown, the medical imaging apparatus 500 includes a processor 510, a memory 520, a communication interface 530, and one or more programs 521, where the one or more programs 521 are stored in the memory 520 and configured to be executed by the processor 510, and the one or more programs 521 include instructions for performing the following steps:

acquiring target medical image data of a target part of a target user, wherein the target part comprises a target artery; performing 4D medical imaging according to the target medical image data, and determining a target position of the aneurysm on the target artery according to an imaging result; positioning the aneurysm according to the target position, analyzing the structural characteristics of the aneurysm, and confirming the type of the aneurysm according to the analysis result; acquiring the characteristics of the aneurysm, and determining the risk degree of the aneurysm according to the characteristics of the aneurysm; outputting the type of the aneurysm and the degree of risk.

In one possible example, in said determining the target location of the aneurysm from the imaging result, the instructions in the program are specifically adapted to perform the following operations: determining the position where the target artery is deformed according to the imaging result, wherein the deformation comprises that the target artery is deformed into a navicular shape or a fusiform shape or has a crevasse; and acquiring the edge characteristic of the position where the target artery deforms, and if the edge characteristic is continuous and smooth, determining the position where the target artery deforms as the target position.

In one possible example, in said analyzing the structural characteristics of the aneurysm, the program further comprises instructions for, in respect of identifying the kind of the aneurysm from the analysis result: if the target artery is deformed into a navicular shape or a fusiform shape and the target artery has no laceration, the aneurysm is true aneurysm; if the target artery has no deformation and has a crevasse and a lump is formed at the crevasse, the aneurysm is a pseudo aneurysm; and if the intima of the target artery is deformed inwards, and the intima and the media of the target artery form a blood vessel cavity, the aneurysm is a sandwich aneurysm.

In one possible example, the characteristics of the aneurysm include a size of the aneurysm, and in the obtaining the characteristics of the aneurysm, the program further includes instructions for: acquiring space coordinate information of the target position; obtaining the area and the swelling height of the aneurysm according to the space coordinate information, wherein the swelling height is the shortest distance between the highest point of the aneurysm and the outer wall of the target artery; determining the size of the aneurysm according to the area and the swelling height of the aneurysm.

In one possible example, the characteristics of the aneurysm include a degree of deformation of the target artery, and in the obtaining the characteristics of the aneurysm, the program further includes instructions for: obtaining a first inner diameter of the target artery at the target position and a second inner diameter of the target artery which is not deformed near the target position according to the space coordinate information;

and determining the deformation degree of the target artery according to the first inner diameter and the second inner diameter.

In one possible example, the feature of the aneurysm includes a vessel thickness of the target artery, and in the obtaining the feature of the aneurysm, the program further includes instructions for: and obtaining the blood vessel thickness of the target artery at the target position according to the space coordinate information.

In one possible example, in said determining a risk level of said aneurysm from characteristics of said aneurysm, said program further comprises instructions for: acquiring a normal size range of the aneurysm, a normal deformation degree range of the target blood vessel and a normal thickness range of the target blood vessel at the target position; if the size of the aneurysm is larger than the normal size range, or/and the deformation degree of the target artery at the target position is larger than the normal deformation degree range, or/and the thickness of the blood vessel of the target artery at the target position is smaller than the normal thickness range, determining that the aneurysm is dangerous; and if the size of the aneurysm, the deformation degree of the target artery at the target position and the thickness of the blood vessel of the target artery at the target position are all within a normal range, determining that the aneurysm is not dangerous.

In one possible example, in the acquiring target medical image data of a target site of a target user, the program further includes instructions for: determining a bitmap BMP data source according to a plurality of artery scanning images of the target part of the target user; importing the BMP data source into a preset VRDS medical network model to obtain first medical image data, wherein the first medical image data comprise an original data set of the target artery, and the original data set of the target artery comprises fusion data of the target artery and the aneurysm; importing the first medical image data into a preset cross blood vessel network model, and performing spatial segmentation processing on the fusion data through the cross blood vessel network model to obtain second medical image data, wherein the second medical image data comprises a data set of the target artery and a data set of the aneurysm; and obtaining the target medical image data according to the second medical image data.

In one possible example, in the obtaining of the target medical image data from the second medical image data, the program further includes instructions for: executing preset processing on the second medical image data to obtain the target medical image data, wherein the preset processing comprises at least one of the following operations: 2D boundary optimization processing, 3D boundary optimization processing and data enhancement processing.

The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the medical imaging apparatus includes hardware structures and/or software modules for performing the respective functions in order to realize the functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The embodiment of the present application may perform the division of the functional units for the medical imaging apparatus according to the above method examples, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.

Fig. 6 is a block diagram of functional units of an Ai processing apparatus 600 for treating an aneurysm based on VRDS 4D medical image according to an embodiment of the present application. The Ai processing device 600 for aneurysms based on VRDS 4D medical images is applied to a medical imaging device, and the Ai processing device 600 for aneurysms based on VRDS 4D medical images comprises a processing unit 601 and a communication unit 602, wherein,

the processing unit 601 is configured to acquire target medical image data of a target portion of a target user, where the target portion includes a target artery; the system is used for carrying out 4D medical imaging according to the target medical image data and determining a target position of the aneurysm on the target artery according to an imaging result; the system is used for positioning the aneurysm according to the target position, analyzing the structural characteristics of the aneurysm, and confirming the type of the aneurysm according to the analysis result; and for obtaining characteristics of the aneurysm, determining a risk level of the aneurysm according to the characteristics of the aneurysm; and for outputting the kind of the aneurysm and the degree of risk via the communication unit 602.

The processing device 600 further includes a storage unit 603, the processing unit 601 may be a processor, the communication unit 602 may be a communication interface, and the storage unit 603 may be a memory.

In one possible example, in said determining the target location of the aneurysm from the imaging result, the processing unit 601 is specifically configured to: determining the position where the target artery is deformed according to the imaging result, wherein the deformation comprises that the target artery is deformed into a navicular shape or a fusiform shape or has a crevasse; and acquiring the edge characteristic of the position where the target artery deforms, and if the edge characteristic is continuous and smooth, determining the position where the target artery deforms as the target position.

In one possible example, in the analyzing of the structural characteristics of the aneurysm and the determining of the type of the aneurysm according to the analysis result, the processing unit 601 is specifically configured to: if the target artery is deformed into a navicular shape or a fusiform shape and the target artery has no laceration, the aneurysm is true aneurysm; if the target artery has no deformation and has a crevasse and a lump is formed at the crevasse, the aneurysm is a pseudo aneurysm; and if the intima of the target artery is deformed inwards, and the intima and the media of the target artery form a blood vessel cavity, the aneurysm is a sandwich aneurysm.

In one possible example, the characteristics of the aneurysm include the size of the aneurysm, and in terms of the obtaining the characteristics of the aneurysm, the processing unit 601 is specifically configured to: acquiring space coordinate information of the target position; obtaining the area and the swelling height of the aneurysm according to the space coordinate information, wherein the swelling height is the shortest distance between the highest point of the aneurysm and the outer wall of the target artery; determining the size of the aneurysm according to the area and the swelling height of the aneurysm.

In one possible example, the feature of the aneurysm includes a degree of deformation of the target artery, and in the aspect of acquiring the feature of the aneurysm, the processing unit 601 is specifically configured to: obtaining a first inner diameter of the target artery at the target position and a second inner diameter of the target artery which is not deformed near the target position according to the space coordinate information; and determining the deformation degree of the target artery according to the first inner diameter and the second inner diameter.

In one possible example, the feature of the aneurysm includes a vessel thickness of the target artery, and in the aspect of acquiring the feature of the aneurysm, the processing unit 601 is specifically configured to: and obtaining the blood vessel thickness of the target artery at the target position according to the space coordinate information.

In one possible example, in said determining the risk level of said aneurysm from characteristics of said aneurysm, said processing unit 601 is specifically configured to: acquiring a normal size range of the aneurysm, a normal deformation degree range of the target blood vessel and a normal thickness range of the target blood vessel at the target position; if the size of the aneurysm is larger than the normal size range, or/and the deformation degree of the target artery at the target position is larger than the normal deformation degree range, or/and the thickness of the blood vessel of the target artery at the target position is smaller than the normal thickness range, determining that the aneurysm is dangerous; and if the size of the aneurysm, the deformation degree of the target artery at the target position and the thickness of the blood vessel of the target artery at the target position are all within a normal range, determining that the aneurysm is not dangerous.

In one possible example, in the aspect of acquiring target medical image data of a target portion of a target user, the processing unit 601 is specifically configured to: determining a bitmap BMP data source according to a plurality of artery scanning images of the target part of the target user; importing the BMP data source into a preset VRDS medical network model to obtain first medical image data, wherein the first medical image data comprise an original data set of the target artery, and the original data set of the target artery comprises fusion data of the target artery and the aneurysm; importing the first medical image data into a preset cross blood vessel network model, and performing spatial segmentation processing on the fusion data through the cross blood vessel network model to obtain second medical image data, wherein the second medical image data comprises a data set of the target artery and a data set of the aneurysm; and obtaining the target medical image data according to the second medical image data.

In one possible example, in terms of obtaining the target medical image data according to the second medical image data, the processing unit 601 is specifically configured to: executing preset processing on the second medical image data to obtain the target medical image data, wherein the preset processing comprises at least one of the following operations: 2D boundary optimization processing, 3D boundary optimization processing and data enhancement processing.

Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to perform part or all of the steps of any one of the methods as set forth in the above method embodiments, the computer including a medical imaging apparatus.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, said computer comprising the medical imaging apparatus.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.

The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

An Ai processing method of aneurysm based on VRDS 4D medical image, which is applied to medical imaging device, the method includes:

acquiring target medical image data of a target part of a target user, wherein the target part comprises a target artery;

performing 4D medical imaging according to the target medical image data, and determining a target position of the aneurysm on the target artery according to an imaging result;

positioning the aneurysm according to the target position, analyzing the structural characteristics of the aneurysm, and confirming the type of the aneurysm according to the analysis result;

acquiring the characteristics of the aneurysm, and determining the risk degree of the aneurysm according to the characteristics of the aneurysm;

outputting the type of the aneurysm and the degree of risk.
The method of claim 1, wherein determining a target location of the aneurysm from the imaging result comprises:

determining the position where the target artery is deformed according to the imaging result, wherein the deformation comprises that the target artery is deformed into a navicular shape or a fusiform shape or has a crevasse;

and acquiring the edge characteristic of the position where the target artery deforms, and if the edge characteristic is continuous and smooth, determining the position where the target artery deforms as the target position.
The method of claim 1 or 2, wherein said analyzing structural characteristics of said aneurysm and identifying a type of said aneurysm based on a result of said analyzing comprises:

if the target artery is deformed into a navicular shape or a fusiform shape and the target artery has no laceration, the aneurysm is true aneurysm;

if the target artery has no deformation and has a crevasse and a lump is formed at the crevasse, the aneurysm is a pseudo aneurysm;

and if the intima of the target artery is deformed inwards, and the intima and the media of the target artery form a blood vessel cavity, the aneurysm is a sandwich aneurysm.
The method of claim 1, wherein the characteristics of the aneurysm include a size of the aneurysm, and wherein the obtaining the characteristics of the aneurysm includes:

acquiring space coordinate information of the target position;

obtaining the area and the swelling height of the aneurysm according to the space coordinate information, wherein the swelling height is the shortest distance between the highest point of the aneurysm and the outer wall of the target artery;

determining the size of the aneurysm according to the area and the swelling height of the aneurysm.
The method of claim 4, wherein the characteristics of the aneurysm include a degree of deformation of the target artery, and wherein the obtaining the characteristics of the aneurysm includes:

obtaining a first inner diameter of the target artery at the target position and a second inner diameter of the target artery which is not deformed near the target position according to the space coordinate information;

and determining the deformation degree of the target artery according to the first inner diameter and the second inner diameter.
The method of claim 4 or 5, wherein the characteristic of the aneurysm includes a vessel thickness of the target artery, and the obtaining the characteristic of the aneurysm includes:

and obtaining the blood vessel thickness of the target artery at the target position according to the space coordinate information.
The method of any one of claims 4-6, wherein said determining the risk level of the aneurysm from the characteristics of the aneurysm comprises:

acquiring a normal size range of the aneurysm, a normal deformation degree range of the target artery and a normal thickness range of the target artery at the target position;

if the size of the aneurysm is larger than the normal size range, or/and the deformation degree of the target artery at the target position is larger than the normal deformation degree range, or/and the thickness of the blood vessel of the target artery at the target position is smaller than the normal thickness range, determining that the aneurysm is dangerous;

and if the size of the aneurysm, the deformation degree of the target artery at the target position and the thickness of the blood vessel of the target artery at the target position are all within a normal range, determining that the aneurysm is not dangerous.
The method according to any one of claims 1-7, wherein said acquiring target medical image data of a target site of a target user comprises:

determining a bitmap BMP data source according to a plurality of artery scanning images of the target part of the target user;

importing the BMP data source into a preset VRDS medical network model to obtain first medical image data, wherein the first medical image data comprise an original data set of the target artery, and the original data set of the target artery comprises fusion data of the target artery and the aneurysm;

importing the first medical image data into a preset cross blood vessel network model, and performing spatial segmentation processing on the fusion data through the cross blood vessel network model to obtain second medical image data, wherein the second medical image data comprises a data set of the target artery and a data set of the aneurysm;

and obtaining the target medical image data according to the second medical image data.
The method of claim 8, wherein obtaining the target medical image data from the second medical image data comprises:

executing preset processing on the second medical image data to obtain the target medical image data, wherein the preset processing comprises at least one of the following operations: 2D boundary optimization processing, 3D boundary optimization processing and data enhancement processing.
An Ai processing device of aneurysm based on VRDS 4D medical image is characterized in that the Ai processing device is applied to a medical imaging device; the Ai processing device for the aneurysm based on VRDS 4D medical image comprises a processing unit and a communication unit, wherein,

the processing unit is used for acquiring target medical image data of a target part of a target user, wherein the target part comprises a target artery; and for performing 4D medical imaging from the target medical image data, determining a target location of an aneurysm on the target artery from the imaging result; the system is used for positioning the aneurysm according to the target position, analyzing the structural characteristics of the aneurysm, and confirming the type of the aneurysm according to the analysis result; and for obtaining characteristics of the aneurysm, determining a risk level of the aneurysm according to the characteristics of the aneurysm; and for outputting, by the communication unit, the type of aneurysm and the degree of risk.
The apparatus according to claim 10, wherein the processing unit, in said determining a target location of an aneurysm from imaging results, is specifically configured to:

determining the position where the target artery is deformed according to the imaging result, wherein the deformation comprises that the target artery is deformed into a navicular shape or a fusiform shape or has a crevasse;

and acquiring the edge characteristic of the position where the target artery deforms, and if the edge characteristic is continuous and smooth, determining the position where the target artery deforms as the target position.
The device according to claim 10 or 11, wherein, in said analyzing the structural characteristics of the aneurysm and determining the type of the aneurysm from the analysis result, the processing unit is specifically configured to:

if the target artery is deformed into a navicular shape or a fusiform shape and the target artery has no laceration, the aneurysm is true aneurysm;

if the target artery has no deformation and has a crevasse and a lump is formed at the crevasse, the aneurysm is a pseudo aneurysm;

and if the intima of the target artery is deformed inwards, and the intima and the media of the target artery form a blood vessel cavity, the aneurysm is a sandwich aneurysm.
The apparatus according to claim 10, wherein the characteristics of the aneurysm include a size of the aneurysm, the processing unit being particularly adapted to, in said deriving the characteristics of the aneurysm:

acquiring space coordinate information of the target position;

obtaining the area and the swelling height of the aneurysm according to the space coordinate information, wherein the swelling height is the shortest distance between the highest point of the aneurysm and the outer wall of the target artery;

determining the size of the aneurysm according to the area and the swelling height of the aneurysm.
The apparatus according to claim 13, wherein the characteristics of the aneurysm include a degree of deformation of the target artery, and wherein the processing unit is specifically configured to, in said obtaining the characteristics of the aneurysm:

obtaining a first inner diameter of the target artery at the target position and a second inner diameter of the target artery which is not deformed near the target position according to the space coordinate information;

and determining the deformation degree of the target artery according to the first inner diameter and the second inner diameter.
The apparatus according to claim 13 or 14, wherein the characteristic of the aneurysm includes a vessel thickness of the target artery, the processing unit being particularly adapted to, in the obtaining the characteristic of the aneurysm:

and obtaining the blood vessel thickness of the target artery at the target position according to the space coordinate information.
The apparatus according to any one of claims 13-15, wherein said processing unit, in said determining a risk level of said aneurysm from characteristics of said aneurysm, is specifically configured to:

acquiring a normal size range of the aneurysm, a normal deformation degree range of the target artery and a normal thickness range of the target artery at the target position;

if the size of the aneurysm is larger than the normal size range, or/and the deformation degree of the target artery at the target position is larger than the normal deformation degree range, or/and the thickness of the blood vessel of the target artery at the target position is smaller than the normal thickness range, determining that the aneurysm is dangerous;

and if the size of the aneurysm, the deformation degree of the target artery at the target position and the thickness of the blood vessel of the target artery at the target position are all within a normal range, determining that the aneurysm is not dangerous.
The apparatus according to any one of claims 10 to 16, wherein, in said acquiring target medical image data of a target site of a target user, the processing unit is specifically configured to:

determining a bitmap BMP data source according to a plurality of artery scanning images of the target part of the target user;

importing the BMP data source into a preset VRDS medical network model to obtain first medical image data, wherein the first medical image data comprise an original data set of the target artery, and the original data set of the target artery comprises fusion data of the target artery and the aneurysm;

importing the first medical image data into a preset cross blood vessel network model, and performing spatial segmentation processing on the fusion data through the cross blood vessel network model to obtain second medical image data, wherein the second medical image data comprises a data set of the target artery and a data set of the aneurysm;

and obtaining the target medical image data according to the second medical image data.
The apparatus according to claim 17, wherein in said deriving the target medical image data from the second medical image data, the processing unit is specifically configured to:

executing preset processing on the second medical image data to obtain the target medical image data, wherein the preset processing comprises at least one of the following operations: 2D boundary optimization processing, 3D boundary optimization processing and data enhancement processing.
A medical imaging apparatus comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-9.
A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-9.