CN111402406A - Blood vessel three-dimensional reconstruction method and device and medical equipment - Google Patents

Blood vessel three-dimensional reconstruction method and device and medical equipment Download PDF

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CN111402406A
CN111402406A CN202010207825.6A CN202010207825A CN111402406A CN 111402406 A CN111402406 A CN 111402406A CN 202010207825 A CN202010207825 A CN 202010207825A CN 111402406 A CN111402406 A CN 111402406A
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blood vessel
medical image
region
dimensional reconstruction
image
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刘向东
滕忠照
沈金花
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Nanjing Jingsan Medical Technology Co ltd
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Nanjing Jingsan Medical Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/136Segmentation; Edge detection involving thresholding
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/25Determination of region of interest [ROI] or a volume of interest [VOI]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10081Computed x-ray tomography [CT]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10088Magnetic resonance imaging [MRI]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30101Blood vessel; Artery; Vein; Vascular
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2210/00Indexing scheme for image generation or computer graphics
    • G06T2210/41Medical
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03Recognition of patterns in medical or anatomical images

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Abstract

The invention relates to the technical field of image processing, in particular to a blood vessel three-dimensional reconstruction method, a device and medical equipment, wherein the method comprises the following steps: acquiring a target medical image sequence; performing vessel segmentation on the target medical image sequence to form a medical image to be processed; determining a region of interest in the medical image to be processed; and performing three-dimensional reconstruction on the region of interest. According to the blood vessel three-dimensional reconstruction method, the blood vessel segmentation and the determination of the region of interest are carried out before the three-dimensional reconstruction is carried out, the three-dimensional reconstruction is carried out based on the region of interest in the blood vessel, the three-dimensional reconstruction of the blood vessel is realized, meanwhile, the higher three-dimensional reconstruction efficiency can be ensured, and a user can observe the blood vessel of interest in a specific three-dimensional space region more intuitively.

Description

Blood vessel three-dimensional reconstruction method and device and medical equipment
Technical Field
The invention relates to the technical field of image processing, in particular to a blood vessel three-dimensional reconstruction method and device and medical equipment.
Background
At present, various vascular diseases are more and more common in clinic, so that imaging of blood vessels plays an increasingly important role in diagnosis of diseases and body performance, and accordingly, the demand for clear imaging of blood vessels in vitro is increasing.
There are many ways in which vessel imaging can be used, for example: magnetic resonance imaging, CT imaging, and the like. The blood vessel images obtained by the imaging method are two-dimensional images, and although the two-dimensional images can reflect the situation in the blood vessel, when the blood vessel runs in a complicated place, the two-dimensional images are difficult to accurately judge whether the blood vessel is narrow or not. Therefore, there is a need for three-dimensional reconstruction of blood vessels to assist physicians in more intuitively diagnosing from three-dimensional structures, assessing disease risk, deciding treatment plans, and the like.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for three-dimensional reconstruction of a blood vessel, and a medical device, so as to solve the problem of three-dimensional reconstruction of a blood vessel.
According to a first aspect, an embodiment of the present invention provides a blood vessel three-dimensional reconstruction method, including:
acquiring a target medical image sequence;
performing vessel segmentation on the target medical image sequence to form a medical image to be processed;
determining a region of interest in the medical image to be processed;
and performing three-dimensional reconstruction on the region of interest.
According to the blood vessel three-dimensional reconstruction method provided by the embodiment of the invention, the blood vessel segmentation and the determination of the region of interest are carried out before the three-dimensional reconstruction is carried out, the three-dimensional reconstruction is carried out based on the region of interest in the blood vessel, the three-dimensional reconstruction of the blood vessel is realized, meanwhile, the higher three-dimensional reconstruction efficiency can be ensured, and a user can more intuitively observe the blood vessel of interest in a specific three-dimensional space region.
With reference to the first aspect, in a first implementation manner of the first aspect, the performing vessel segmentation on the target medical image sequence to form a medical image to be processed includes:
superimposing a target medical image of the sequence of target medical images;
acquiring the image signal intensity of the superposed target medical image and a preset intensity threshold;
performing blood vessel segmentation on the target medical image sequence based on the preset intensity threshold and the image signal intensity to obtain a blood vessel mask image;
and rendering the blood vessel mask image to form the medical image to be processed.
According to the blood vessel three-dimensional reconstruction method provided by the embodiment of the invention, after the target medical images in the target medical image sequence are superposed, the blood vessel is segmented by using the image signal intensity, and because the image signal intensity of each pixel point is enhanced after the target medical images are superposed, the accuracy of the segmented blood vessel can be ensured, and reliable guarantee is provided for the subsequent three-dimensional reconstruction; meanwhile, rendering is carried out on the blood vessel mask image obtained after segmentation, so that the medical image to be processed can be visually displayed.
With reference to the first aspect, in a second implementation manner of the first aspect, the performing vessel segmentation on the target medical image sequence based on the preset intensity threshold and the image signal intensity to obtain a vessel mask image includes:
sequentially judging whether the image signal intensity of each pixel point in the superposed target medical image is within the preset intensity threshold value;
when the image signal intensity of pixel points in the superposed target medical image is within the preset intensity threshold value, setting the pixel values of the pixel points in the blood vessel mask image as a first preset value;
and when the image signal intensity of the pixel points in the superposed target medical image is not within the preset intensity threshold value, setting the pixel values of the pixel points in the blood vessel mask image as a second preset value.
According to the blood vessel three-dimensional reconstruction method provided by the embodiment of the invention, the blood vessel is segmented by using the image signal intensity to obtain the blood vessel mask image, the pixel values of all pixel points in the blood vessel mask image are respectively the first preset value and the second preset value, the blood vessel region and the non-blood vessel region can be distinguished by using the difference of the pixel values, and the blood vessel three-dimensional reconstruction efficiency can be improved.
With reference to the first implementation manner of the first aspect, in a third implementation manner of the first aspect, the rendering the blood vessel mask image to form the medical image to be processed includes:
and extracting a region corresponding to the first preset value from the blood vessel mask image for rendering to form the medical image to be processed.
According to the three-dimensional reconstruction method of the blood vessel provided by the embodiment of the invention, the first region corresponding to the setting is the blood vessel region, namely, the rendering is only carried out on the blood vessel region, so that the three-dimensional reconstruction efficiency of the blood vessel can be improved.
With reference to the first embodiment of the first aspect, in a fourth embodiment of the first aspect, the method further includes:
acquiring an adjusted preset intensity threshold;
and performing blood vessel segmentation on the target medical image sequence by using the adjusted preset intensity threshold and the image signal intensity to obtain the blood vessel mask image.
According to the blood vessel three-dimensional reconstruction method provided by the embodiment of the invention, the preset intensity threshold value can be adjusted in the three-dimensional reconstruction process, so that the obtained blood vessel mask image can better meet the user requirements.
With reference to the first aspect, in a fifth implementation manner of the first aspect, the determining a region of interest in the medical image to be processed includes:
responding to a selected request for the medical image to be processed;
presenting an interactable cube in the medical image to be processed to form a selected region;
adjusting the selected region in response to an adjustment of the interactable cube;
displaying the adjusted selected area to form the region of interest.
According to the three-dimensional reconstruction method for the blood vessel, the region of interest is determined in an interactive mode, so that the determined region of interest is formed according to the requirements of a user, and the region of interest is determined in an interactive cube mode, so that the method has better intuitiveness.
With reference to the first aspect or any one of the first to fifth embodiments of the first aspect, in a sixth embodiment of the first aspect, after the step of three-dimensionally reconstructing the region of interest, the method further includes:
showing a cross-sectional view and a longitudinal sectional view of the region of interest.
According to a second aspect, an embodiment of the present invention further provides a blood vessel three-dimensional reconstruction apparatus, including:
an acquisition module for acquiring a sequence of target medical images;
the segmentation rendering module is used for performing blood vessel segmentation and rendering on the target medical image sequence to form a medical image to be processed;
a determination module for determining a region of interest in the medical image to be processed;
and the three-dimensional reconstruction module is used for performing three-dimensional reconstruction on the region of interest.
The blood vessel three-dimensional reconstruction device provided by the embodiment of the invention firstly performs blood vessel segmentation and determination of the region of interest before performing three-dimensional reconstruction, the three-dimensional reconstruction is performed based on the region of interest in the blood vessel, the three-dimensional reconstruction of the blood vessel is realized, meanwhile, higher three-dimensional reconstruction efficiency can be ensured, and a user can more intuitively observe the blood vessel of interest in a specific three-dimensional space region.
According to a third aspect, embodiments of the present invention provide a medical apparatus comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing therein computer instructions, and the processor executing the computer instructions to perform the method for three-dimensional reconstruction of a blood vessel according to the first aspect or any one of the embodiments of the first aspect.
According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores computer instructions for causing a computer to execute the method for three-dimensional reconstruction of a blood vessel according to the first aspect or any one of the implementation manners of the first aspect.
Drawings
In order to more clearly illustrate the embodiments of the present invention 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, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flow chart of a method for three-dimensional reconstruction of a blood vessel according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method for three-dimensional reconstruction of a blood vessel according to an embodiment of the present invention;
FIG. 3 is a schematic illustration of a medical image to be processed according to an embodiment of the invention;
FIG. 4 is a flow chart of a method for three-dimensional reconstruction of a blood vessel according to an embodiment of the present invention;
FIG. 5 is a graphical representation of the results after three-dimensional reconstruction of a blood vessel according to an embodiment of the present invention;
fig. 6 is a structural block diagram of a blood vessel three-dimensional reconstruction device according to an embodiment of the present invention;
fig. 7 is a schematic hardware structure diagram of a medical device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. 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 invention.
In accordance with an embodiment of the present invention, there is provided a three-dimensional reconstruction method of a blood vessel, it should be noted that the steps illustrated in the flowchart of the accompanying drawings may be executed in a computer system, such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be executed in an order different from that described herein.
In this embodiment, a three-dimensional reconstruction method of a blood vessel is provided, which can be used in medical devices, such as a medical tablet, a medical computer, etc., fig. 1 is a flowchart of a three-dimensional reconstruction method of a blood vessel according to an embodiment of the present invention, and as shown in fig. 1, the flowchart includes the following steps:
s11, acquiring the target medical image sequence.
The target medical image sequence includes a plurality of continuous target medical images, wherein the target medical image sequence may be a magnetic resonance image sequence, a CT image sequence (for example, coronary CTA), or the like, and the specific form of the target medical image sequence is not limited in any way. Magnetic Resonance Imaging (MRI) is known.
Wherein the magnetic resonance image sequence may be a longitudinal relaxation time T1Weighted (T1 weighted imaging), transverse relaxation time T2Weighting (T2 weighted imaging), Time of flight (TOF) sequences, T1 contrast enhancement sequences T1C and PD sequences, and the like.
Alternatively, the target medical image sequence may be an MRI TOF sequence, by which the medical image can determine the health of the blood vessel since the MRI TOF sequence can present a high signal to the blood flow in the lumen of the blood vessel.
It should be noted that the target medical image sequence corresponds to a portion that needs to be subjected to three-dimensional vascular reconstruction, such as a coronary artery, a carotid artery, an intracranial artery, and the like, and the portion corresponding to the target medical image sequence is not limited at all and can be selected according to actual situations.
The target medical image sequence acquired by the medical device may be acquired by the acquisition device in real time, for example, the target medical image sequence may be acquired by the magnetic resonance device in real time and transmitted to the medical device; or may be stored in the medical device in advance, and the manner in which the medical device acquires the target medical image sequence is not limited in any way.
S12, performing blood vessel segmentation on the target medical image sequence to form a medical image to be processed.
After acquiring the target medical image sequence, the medical device performs vessel segmentation on the target medical image sequence. The determination of the blood vessel in the target medical image sequence can be obtained by manual delineation; the method can also be carried out in a semi-automatic or automatic mode, wherein for the semi-automatic mode, a user can click the seed point to mark the position of the lumen region, and then a segmentation algorithm such as a level set and region growing is adopted to obtain the blood vessel boundary; for a fully automatic approach, the vessel boundary can be extracted using a gradient method. Of course, the vessel boundary may be determined in other manners, and the determination manner of the vessel boundary in the target medical image sequence is not limited in any way.
As described above, the target medical image sequence includes a plurality of continuous target medical images, and when the medical device performs blood vessel segmentation, the medical device may perform blood vessel segmentation on each target medical image, and then superimpose the segmented blood vessels to obtain a medical image to be processed; the medical device may also superimpose a plurality of target medical images first, and then perform vessel segmentation and the like. That is, the medical device forms the medical image to be processed after performing the vessel segmentation on the target medical image sequence.
S13, determining the region of interest in the medical image to be processed.
The determination of the region of interest may be performed by a user interactively selecting on the basis of the medical image to be processed, or may be performed by analyzing the medical image to be processed by the medical device, and so on. This step will be described in detail below.
And S14, performing three-dimensional reconstruction on the region of interest.
After the medical device determines the region of interest, the medical device performs three-dimensional reconstruction on the region of interest. Optionally, if the result of the three-dimensional reconstruction does not meet the user requirement, the process may return to S13 to determine the region of interest of the medical image to be processed again.
The vessel three-dimensional reconstruction method provided by the embodiment performs vessel segmentation and determination of the region of interest before performing three-dimensional reconstruction, the three-dimensional reconstruction is performed based on the region of interest in the vessel, the vessel three-dimensional reconstruction is realized, meanwhile, higher three-dimensional reconstruction efficiency can be ensured, and a user can observe the vessel of interest in a specific three-dimensional space region more intuitively.
In this embodiment, a three-dimensional reconstruction method of a blood vessel is provided, which can be used in medical devices, such as a medical tablet, a medical computer, etc., fig. 2 is a flowchart of the three-dimensional reconstruction method of a blood vessel according to an embodiment of the present invention, and as shown in fig. 2, the flowchart includes the following steps:
s21, acquiring the target medical image sequence.
Please refer to S11 in fig. 1, which is not described herein again.
S22, performing blood vessel segmentation on the target medical image sequence to form a medical image to be processed.
The medical device forms a medical image to be processed after performing vessel segmentation on the target medical image sequence, and specifically, the step S22 includes the following steps:
and S221, superposing the target medical images in the target medical image sequence.
Because the offset between each target medical image in the same target medical image sequence is not large, the medical equipment superposes each target medical image to enhance and display the blood vessel in the target medical image sequence, so that the blood vessel can be accurately segmented subsequently.
S222, acquiring the image signal intensity of the superposed target medical image and a preset intensity threshold value.
Each pixel point in the target medical image corresponds to the image signal intensity, and after the target medical images are superposed, the image signal intensity of the same pixel point is enhanced. After the medical equipment acquires the image signal intensity after each pixel point is superposed, the image signal intensity can be compared with a preset intensity threshold value to determine whether the pixel point is a pixel point in a blood vessel region. Wherein the blood vessel region comprises a blood vessel boundary and pixel points within the boundary.
And S223, performing blood vessel segmentation on the target medical image sequence based on a preset intensity threshold and the image signal intensity to obtain a blood vessel mask image.
Specifically, comparing the image signal intensity of each pixel point with a preset intensity threshold value can be implemented by the following steps:
(1) and sequentially judging whether the image signal intensity of each pixel point in the superposed target medical image is within a preset intensity threshold value.
The preset intensity threshold may be 1/3-1/4 of the maximum value of the image signal intensity in the target medical image sequence, or may be other values, and the specific range of the preset intensity threshold is not limited at all and may be specifically set according to the actual situation.
And the medical equipment sequentially traverses the image signal intensity of the pixel points in the superposed target medical image, compares the image signal intensity with a preset intensity threshold value and judges whether the image signal intensity is within the preset intensity threshold value.
(2) And when the image signal intensity of the pixel points in the superposed target medical image is within a preset intensity threshold value, setting the pixel values of the pixel points in the blood vessel mask image as a first preset value.
(3) And when the image signal intensity of the pixel points in the superposed target medical image is not within the preset intensity threshold value, setting the pixel values of the pixel points in the blood vessel mask image as a second preset value.
For example, the medical device may set the pixel value of the pixel point whose image signal intensity is within the preset intensity threshold to 255, and set the pixel value of the pixel point which is not within the preset intensity threshold to 0. Then, the pixel value of the pixel point in the blood vessel region in the obtained blood vessel mask image is 255, and the pixel value of the pixel point in the rest region is 0.
Of course, the first preset value and the second preset value may also be other values, and it is only necessary to ensure that pixel points within the preset intensity threshold and pixel points not within the preset intensity threshold can be distinguished.
The blood vessel is segmented by utilizing the image signal intensity to obtain a blood vessel mask image, the pixel values of all pixel points in the blood vessel mask image are respectively a first preset value and a second preset value, the blood vessel region and the non-blood vessel region can be distinguished by utilizing the difference of the pixel values, and the efficiency of three-dimensional reconstruction of the blood vessel can be improved.
And S224, rendering the blood vessel mask image to form a medical image to be processed.
After the medical equipment obtains the blood vessel mask image, the medical equipment can form a medical image to be processed after rendering the blood vessel mask image. Specifically, the medical device may extract a region corresponding to the first preset value from the blood vessel mask image for rendering, that is, render a blood vessel region in the blood vessel mask image. Fig. 3 shows a medical image to be processed formed after rendering, wherein please refer to fig. 3, the left image in fig. 3 is the medical image to be processed formed after rendering, and the right image is a cross section and a longitudinal section which are calculated and correspond to a three-dimensional region of interest which is formed in the subsequent steps and is cut from a cube at the center of the left side. Note that "IM: 5/9 "indicates the current number of layers in that direction/the total number of layers in that direction.
S23, determining the region of interest in the medical image to be processed.
Please refer to S13 in fig. 1, which is not described herein again.
And S24, performing three-dimensional reconstruction on the region of interest.
Please refer to S14 in fig. 1, which is not described herein again.
According to the blood vessel three-dimensional reconstruction method provided by the embodiment, after the target medical images in the target medical image sequence are superposed, the blood vessel is segmented by using the image signal intensity, and because the image signal intensity of each pixel point is enhanced after the target medical images are superposed, the accuracy of the segmented blood vessel can be ensured, and reliable guarantee is provided for the subsequent three-dimensional reconstruction; meanwhile, rendering is carried out on the blood vessel mask image obtained after segmentation, so that the medical image to be processed can be visually displayed.
As an optional implementation manner of this embodiment, before the step S23, the method further includes:
(1) and acquiring the adjusted preset intensity threshold value.
The medical equipment obtains a medical image to be processed after rendering the blood vessel area of the blood vessel mask image, and if the obtained medical image to be processed cannot meet the requirements of a user, the medical equipment can adjust a preset intensity threshold value to perform blood vessel segmentation again.
(2) And performing blood vessel segmentation on the target medical image sequence by using the adjusted preset intensity threshold and the image signal intensity to obtain a blood vessel mask image.
After adjusting the preset intensity threshold, the medical device may perform the above S223-S224 again to obtain the blood vessel mask image.
The medical equipment can also adjust the preset intensity threshold value in the three-dimensional reconstruction process, so that the obtained blood vessel mask image can better meet the requirements of users.
In this embodiment, a three-dimensional reconstruction method of a blood vessel is provided, which can be used in medical devices, such as a medical tablet, a medical computer, etc., fig. 4 is a flowchart of the three-dimensional reconstruction method of a blood vessel according to an embodiment of the present invention, and as shown in fig. 4, the flowchart includes the following steps:
s31, acquiring the target medical image sequence.
Please refer to S21 in fig. 2 for details, which are not described herein.
S32, performing blood vessel segmentation on the target medical image sequence to form a medical image to be processed.
Please refer to S22 in fig. 2 for details, which are not described herein.
S33, determining the region of interest in the medical image to be processed.
The medical device may determine the region of interest in an interactive manner, and in particular, the step S33 includes the following steps:
s331, in response to a selected request for a medical image to be processed.
The medical device provides an interactive interface for a user to operate on the interactive interface to send a selected request for a medical image to be processed to the medical device. The medical device responds to the selected request sent by the user, i.e., S332 is performed.
S332, displaying the interactive cube in the medical image to be processed to form a selected area.
After responding to a selection request of a user, the medical device displays an interactive cube in the medical image to be processed, wherein the region in the medical image to be processed corresponding to the cube is the selected region. Turning to fig. 3, fig. 3 illustrates the presentation of interactable cubes in a pending image.
S333, responding to the adjustment of the interactive cube to adjust the selected area.
The medical device responds to user adjustment of the interactable cube, e.g., translation, rotation, or stretching of the interactable cube, etc.; the interactive cube is adjusted, namely the selected area is adjusted.
And S334, displaying the adjusted selected region to form a region of interest.
After the medical device responds to the adjustment of the interactive cube, the adjusted selected region can be displayed, thereby obtaining the region of interest.
And S34, performing three-dimensional reconstruction on the region of interest.
After the region of interest is formed, the medical device reconstructs it in three dimensions. Referring to fig. 5, fig. 5 shows a schematic diagram of a three-dimensional reconstruction of a region of interest of a blood vessel.
As an optional implementation manner of this embodiment, after S34, the method further includes: a cross-sectional view and a longitudinal cross-sectional view of the region of interest are shown.
As shown in fig. 5, the right images of fig. 5 are a cross-sectional view and a longitudinal sectional view of the region of interest.
The three-dimensional reconstruction method for the blood vessel determines the region of interest in an interactive mode, so that the determined region of interest is formed according to the requirements of a user, and the determination of the region of interest in an interactive cube form has better intuitiveness.
In this embodiment, a three-dimensional reconstruction apparatus for a blood vessel is further provided, and the apparatus is used to implement the foregoing embodiments and preferred embodiments, which have already been described and will not be described again. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
The present embodiment provides a three-dimensional reconstruction apparatus for blood vessels, as shown in fig. 6, including:
an acquisition module 41 for acquiring a sequence of target medical images;
a segmentation rendering module 42, configured to perform vessel segmentation and rendering on the target medical image sequence to form a medical image to be processed;
a determining module 43 for determining a region of interest in the medical image to be processed;
a three-dimensional reconstruction module 44, configured to perform three-dimensional reconstruction on the region of interest.
The blood vessel three-dimensional reconstruction device provided by the embodiment performs blood vessel segmentation and determination of the region of interest before performing three-dimensional reconstruction, the three-dimensional reconstruction is performed based on the region of interest in the blood vessel, the three-dimensional reconstruction of the blood vessel is realized, meanwhile, higher three-dimensional reconstruction efficiency can be ensured, and a user can observe the blood vessel of interest in a specific three-dimensional space region more intuitively.
The three-dimensional reconstruction device of the blood vessel in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC circuit, a processor and a memory executing one or more software or fixed programs, and/or other devices that can provide the above-mentioned functions.
Further functional descriptions of the modules are the same as those of the corresponding embodiments, and are not repeated herein.
The embodiment of the invention also provides medical equipment which is provided with the blood vessel three-dimensional reconstruction device shown in the figure 6.
Referring to fig. 7, fig. 7 is a schematic structural diagram of a medical apparatus according to an alternative embodiment of the present invention, and as shown in fig. 7, the medical apparatus may include: at least one processor 51, such as a CPU (Central Processing Unit), at least one communication interface 53, memory 54, at least one communication bus 52. Wherein a communication bus 52 is used to enable the connection communication between these components. The communication interface 53 may include a Display (Display) and a Keyboard (Keyboard), and the optional communication interface 53 may also include a standard wired interface and a standard wireless interface. The Memory 54 may be a high-speed RAM Memory (volatile Random Access Memory) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The memory 54 may alternatively be at least one memory device located remotely from the processor 51. Wherein the processor 51 may be in connection with the apparatus described in fig. 6, the memory 54 stores an application program, and the processor 51 calls the program code stored in the memory 54 for performing any of the above-mentioned method steps.
The communication bus 52 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus 52 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 7, but this is not intended to represent only one bus or type of bus.
The memory 54 may include a volatile memory (RAM), such as a random-access memory (RAM); the memory may also include a non-volatile memory (english: non-volatile memory), such as a flash memory (english: flash memory), a hard disk (english: hard disk drive, abbreviation: HDD), or a solid-state drive (english: SSD); the memory 54 may also comprise a combination of the above types of memories.
The processor 51 may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of a CPU and an NP.
The processor 51 may further include a hardware chip, which may be an application-specific integrated circuit (ASIC), a programmable logic device (CP L D), or a combination thereof, and the P L D may be a complex programmable logic device (CP L D), a field-programmable gate array (FPGA), a general-purpose array logic (GA L), or any combination thereof.
Optionally, the memory 54 is also used to store program instructions. The processor 51 may call program instructions to implement the three-dimensional reconstruction method of blood vessels as shown in the embodiments of fig. 1, 2 or 4 of the present application.
The embodiment of the invention also provides a non-transitory computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions can execute the blood vessel three-dimensional reconstruction method in any method embodiment. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard disk (Hard disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.

Claims (10)

1. A method of three-dimensional reconstruction of a blood vessel, comprising:
acquiring a target medical image sequence;
performing vessel segmentation on the target medical image sequence to form a medical image to be processed;
determining a region of interest in the medical image to be processed;
and performing three-dimensional reconstruction on the region of interest.
2. The method according to claim 1, wherein the vessel segmenting the target medical image sequence to form a medical image to be processed comprises:
superimposing a target medical image of the sequence of target medical images;
acquiring the image signal intensity of the superposed target medical image and a preset intensity threshold;
performing blood vessel segmentation on the target medical image sequence based on the preset intensity threshold and the image signal intensity to obtain a blood vessel mask image;
and rendering the blood vessel mask image to form the medical image to be processed.
3. The method according to claim 2, wherein the vessel segmenting the target medical image sequence based on the preset intensity threshold and the image signal intensity to obtain a vessel mask image comprises:
sequentially judging whether the image signal intensity of each pixel point in the superposed target medical image is within the preset intensity threshold value;
when the image signal intensity of pixel points in the superposed target medical image is within the preset intensity threshold value, setting the pixel values of the pixel points in the blood vessel mask image as a first preset value;
and when the image signal intensity of the pixel points in the superposed target medical image is not within the preset intensity threshold value, setting the pixel values of the pixel points in the blood vessel mask image as a second preset value.
4. The method of claim 3, wherein the rendering the blood vessel mask image to form the medical image to be processed comprises:
and extracting a region corresponding to the first preset value from the blood vessel mask image for rendering to form the medical image to be processed.
5. The method of claim 2, further comprising:
acquiring an adjusted preset intensity threshold;
and performing blood vessel segmentation on the target medical image sequence by using the adjusted preset intensity threshold and the image signal intensity to obtain the blood vessel mask image.
6. The method according to claim 1, wherein the determining a region of interest in the medical image to be processed comprises:
responding to a selected request for the medical image to be processed;
presenting an interactable cube in the medical image to be processed to form a selected region;
adjusting the selected region in response to an adjustment of the interactable cube;
displaying the adjusted selected area to form the region of interest.
7. The method according to any one of claims 1-6, wherein the step of three-dimensionally reconstructing the region of interest is followed by:
showing a cross-sectional view and a longitudinal sectional view of the region of interest.
8. A three-dimensional reconstruction device of a blood vessel, comprising:
an acquisition module for acquiring a sequence of target medical images;
the segmentation rendering module is used for performing blood vessel segmentation on the target medical image sequence to form a medical image to be processed;
a determination module for determining a region of interest in the medical image to be processed;
and the three-dimensional reconstruction module is used for performing three-dimensional reconstruction on the region of interest.
9. A medical device, comprising:
a memory and a processor, the memory and the processor are connected with each other in communication, the memory stores computer instructions, and the processor executes the computer instructions to execute the blood vessel three-dimensional reconstruction method according to any one of claims 1-7.
10. A computer-readable storage medium storing computer instructions for causing a computer to perform the method of three-dimensional reconstruction of a blood vessel according to any one of claims 1-7.
CN202010207825.6A 2020-03-23 2020-03-23 Blood vessel three-dimensional reconstruction method and device and medical equipment Pending CN111402406A (en)

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112017175A (en) * 2020-09-04 2020-12-01 上海联影医疗科技股份有限公司 Stent display method, stent display device and storage medium
CN112037238A (en) * 2020-09-01 2020-12-04 北京推想科技有限公司 Image display method, device, equipment and medium
CN112862731A (en) * 2021-01-21 2021-05-28 北京科技大学 Full-automatic blood vessel extraction method of TOF image
WO2022048672A1 (en) * 2020-09-04 2022-03-10 Shanghai United Imaging Healthcare Co., Ltd. Systems and methods for image processing
CN114519701A (en) * 2022-01-27 2022-05-20 新瑞鹏宠物医疗集团有限公司 Ear hematoma detection method based on 3D image construction and related equipment
CN115239891A (en) * 2022-09-22 2022-10-25 无锡日联科技股份有限公司 Three-dimensional reconstruction method and device, electronic equipment and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170330353A1 (en) * 2016-05-12 2017-11-16 Siemens Medical Solutions Usa, Inc. Non-Contrast MR Angiography with Variable Slice Resolution 3D Time-of-Flight
US20190159743A1 (en) * 2017-11-30 2019-05-30 Shenzhen Keya Medical Technology Corporation Methods and devices for performing three-dimensional blood vessel reconstruction using angiographic images
CN110675464A (en) * 2019-09-20 2020-01-10 和宇健康科技股份有限公司 Medical image processing method and device, server and storage medium
CN110706236A (en) * 2019-09-03 2020-01-17 西人马帝言(北京)科技有限公司 Three-dimensional reconstruction method and device of blood vessel image

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170330353A1 (en) * 2016-05-12 2017-11-16 Siemens Medical Solutions Usa, Inc. Non-Contrast MR Angiography with Variable Slice Resolution 3D Time-of-Flight
US20190159743A1 (en) * 2017-11-30 2019-05-30 Shenzhen Keya Medical Technology Corporation Methods and devices for performing three-dimensional blood vessel reconstruction using angiographic images
CN110706236A (en) * 2019-09-03 2020-01-17 西人马帝言(北京)科技有限公司 Three-dimensional reconstruction method and device of blood vessel image
CN110675464A (en) * 2019-09-20 2020-01-10 和宇健康科技股份有限公司 Medical image processing method and device, server and storage medium

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112037238A (en) * 2020-09-01 2020-12-04 北京推想科技有限公司 Image display method, device, equipment and medium
CN112017175A (en) * 2020-09-04 2020-12-01 上海联影医疗科技股份有限公司 Stent display method, stent display device and storage medium
WO2022048672A1 (en) * 2020-09-04 2022-03-10 Shanghai United Imaging Healthcare Co., Ltd. Systems and methods for image processing
CN112017175B (en) * 2020-09-04 2024-03-12 上海联影医疗科技股份有限公司 Bracket display method, device and storage medium
CN112862731A (en) * 2021-01-21 2021-05-28 北京科技大学 Full-automatic blood vessel extraction method of TOF image
CN114519701A (en) * 2022-01-27 2022-05-20 新瑞鹏宠物医疗集团有限公司 Ear hematoma detection method based on 3D image construction and related equipment
CN115239891A (en) * 2022-09-22 2022-10-25 无锡日联科技股份有限公司 Three-dimensional reconstruction method and device, electronic equipment and storage medium

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