CN116091702A - Vascular structure reconstruction method, device, equipment and storage medium - Google Patents
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Abstract
The invention discloses a vascular structure reconstruction method, a vascular structure reconstruction device, vascular structure reconstruction equipment and a vascular structure reconstruction storage medium. The method comprises the following steps: determining a projection image of the medical image in at least three set projection directions, the medical image including at least one blood vessel, three-dimensional coordinate information of any voxel in the medical image being determinable from the projection images in at least two of the at least three set projection directions; for any projection image, determining a blood vessel bifurcation point in the projection image, determining connectivity between each pixel in the projection image and the blood vessel bifurcation point, and determining a blood vessel segmentation result according to the connectivity result; and determining a three-dimensional blood vessel image according to blood vessel segmentation results corresponding to all the projection images. The method solves the problem that the existing vascular structure reconstruction method cannot achieve both accuracy and speed, and improves the speed and accuracy of vascular structure reconstruction.
Description
Technical Field
The present invention relates to the field of data processing, and in particular, to a vascular structure reconstruction method, apparatus, device, and storage medium.
Background
The vascular structure reconstruction can visually display the vascular structure and morphology. The existing vascular structure reconstruction method is capable of losing a real vascular structure in a projection image, especially a reticular vascular structure positioned at the retina, the brain and other parts, by carrying out three-dimensional structure reconstruction on the projection image of the vascular structure, so that the reconstructed vascular structure loses blood vessels. In addition, if the three-dimensional image is directly reconstructed, the processing speed is reduced, and therefore, the accuracy and the speed of vascular structure reconstruction are required to be improved. In summary, the existing vascular structure reconstruction method has the problem that the speed and the accuracy cannot be simultaneously achieved.
Disclosure of Invention
The invention provides a vascular structure reconstruction method, a device, equipment and a storage medium, which are used for solving the problem that the existing vascular structure reconstruction method cannot achieve both speed and accuracy.
According to an aspect of the present invention, there is provided a vascular structure reconstruction method, the method comprising:
determining a projection image of the medical image in at least three set projection directions, the medical image including at least one blood vessel, three-dimensional coordinate information of any voxel in the medical image being determinable from the projection images in at least two of the at least three set projection directions;
for any projection image, determining a blood vessel bifurcation point in the projection image, determining connectivity between each pixel in the projection image and the blood vessel bifurcation point, and determining a blood vessel segmentation result according to the connectivity result;
and determining a three-dimensional blood vessel image according to blood vessel segmentation results corresponding to all the projection images.
According to another aspect of the present invention, there is provided a vascular structure reconstruction device comprising:
the blood vessel image projection module is used for determining projection images of the medical image in at least three set projection directions, the medical image comprises at least one blood vessel, and three-dimensional coordinate information of any voxel in the medical image can be determined through projection images in at least two set projection directions in the at least three set projection directions;
the blood vessel segmentation module is used for determining blood vessel bifurcation points in the projection image aiming at any projection image, determining connectivity between each pixel in the projection image and the blood vessel bifurcation points, and determining a blood vessel segmentation result according to the connectivity result;
and the vascular structure reconstruction module is used for determining a three-dimensional vascular image according to vascular segmentation results corresponding to all the projection images.
According to another aspect of the present invention, there is provided an electronic device including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the vascular structure reconstruction method of any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute a vascular structure reconstruction method according to any one of the embodiments of the present invention.
According to the technical scheme of the vascular structure reconstruction method provided by the embodiment of the invention, the three-dimensional medical image is projected, the blood vessel bifurcation point is identified on the projected image, the vascular structure reconstruction is realized on the projected image according to the blood vessel bifurcation point, and the speed and the accuracy of the vascular structure reconstruction are improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a vascular structure reconstruction method according to an embodiment of the present invention;
FIG. 2 is a flowchart of another vascular structure reconstruction method according to an embodiment of the present invention;
fig. 3A is a block diagram of a vascular structure reconstruction device according to an embodiment of the present invention;
FIG. 3B is a block diagram of another vascular structure reconstruction device according to an embodiment of the present invention;
fig. 4 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first" and "second" and the like in the description and the claims of the present invention and the above drawings are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 is a flowchart of a vascular structure reconstruction method according to an embodiment of the present invention, where the embodiment is applicable to a scene of vascular structure reconstruction based on medical images, and may be executed by a vascular structure reconstruction device, and the vascular structure reconstruction device may be implemented in a form of hardware and/or software and configured in a processor of an electronic device.
As shown in fig. 1, the vascular structure reconstruction method includes the steps of:
s110, determining a projection image of the medical image in at least three set projection directions, wherein the medical image comprises at least one blood vessel, and three-dimensional coordinate information of any voxel in the medical image can be determined through projection images in at least two set projection directions in the at least three set projection directions.
The medical image may be a three-dimensional computed tomography (Computed Tomography, CT) image or a nuclear magnetic resonance (Magnetic Resonance Imaging, MRI) image or the like comprising at least one blood vessel, which may display the vascular structure, for example, a digital subtraction angiography (Digital Substraction Angiography, DSA) image.
Voxel (Volume Pixel) is the minimum unit of digital data in three-dimensional space division, and is used in the fields of three-dimensional imaging, scientific data, medical imaging and the like. It will be appreciated that the three-dimensional coordinate information corresponding to any voxel in the medical image may be determined from the projection images in at least two of the at least three set projection directions only if any two set projection directions are not parallel.
In one embodiment, the projected image is determined by maximum intensity projection (Maximum Intensity Projection, MIP). Specifically, the existing tool, model or program is selected to project voxels of the three-dimensional CT image including retinal blood vessels with the maximum CT value in three perpendicular projection directions, so as to obtain corresponding projection images to display the blood vessels with high density in the corresponding projection directions, and gray values in the projection images are related to the CT values.
S120, determining a blood vessel bifurcation point in a projection image according to any projection image, determining connectivity between each pixel in the projection image and the blood vessel bifurcation point, and determining a blood vessel segmentation result according to the connectivity result.
In one embodiment, the vessel bifurcation point in the projection image is determined by a two-dimensional analytic tensor voting algorithm. Specifically, using existing tools, models or programs based on the two-dimensional analysis tensor voting algorithm to respectively vote pixels belonging to blood vessels in any projection image to pixels belonging to other blood vessels in a voting window; and decomposing the accumulated tensor votes of each point according to the two-dimensional tensor voting result to obtain the blood vessel bifurcation point in the projection image. Compared with the traditional two-dimensional tensor voting algorithm, the two-dimensional analytic tensor voting can simultaneously give consideration to voting precision and voting speed, so that the speed and accuracy of vascular structure reconstruction are improved. Specifically, firstly, determining a blood vessel bifurcation point in any projection image by using the existing tool, model or program, etc., to obtain the blood vessel bifurcation point in the projection image; then, traversing the pixel points in the projection image, determining whether connectivity exists between each pixel point in the projection image and the blood vessel bifurcation point, and removing the pixel points which do not have connectivity in the projection image, for example, deleting discrete points/line segments which do not have connectivity relation with the blood vessel bifurcation point in the projection image, so as to obtain a blood vessel segmentation result in the projection direction.
Further, before determining the blood vessel bifurcation point in the projection image, the method includes: any projection image is input into a blood vessel enhancement algorithm to obtain an enhancement image, and the enhancement image is used for updating the projection image.
The existing tool, model or program is used for enhancing the blood vessel in the projection image, and the method has the advantages that the pixels corresponding to the blood vessel structure are emphasized, the pixels corresponding to the non-blood vessel structure are eliminated, the noise and other non-blood vessel structures in the projection image are reduced, the accuracy of the blood vessel segmentation result is improved, and the accuracy of the reconstruction of the blood vessel structure is improved.
In one embodiment, the vessels in the projection image are enhanced using a franki algorithm based on a Hessian matrix. Firstly, filtering a projection image at each scale; secondly, calculating a second derivative of each pixel point in the projection image of each scale, constructing a Hessian matrix, and calculating a characteristic value of the Hessian matrix; and then, bringing the characteristic values of each scale into a blood vessel similarity function to obtain a corresponding filter response, and calculating to obtain a maximum filter response when the scale is matched with the local blood vessel structure, so as to judge whether the current pixel point belongs to the blood vessel structure. In addition, a threshold value is set, and pixels larger than the set threshold value are used as vascular structures.
In one embodiment, the connectivity between each pixel in the projected image and the vessel bifurcation point is determined using a Wo Sheer (Warshall) algorithm. Specifically, the projection image is input into a Warshall algorithm, and connectivity between each pixel in the projection image and a blood vessel bifurcation point is determined. Because the blood vessel is continuous, the pixels connected with the blood vessel bifurcation point are reserved, the pixels which are not connected with the blood vessel bifurcation point are removed as the pixels corresponding to the blood vessel structure, for example, the pixels which are not connected with the blood vessel bifurcation point can be removed to form points or line segments, and the pixels connected with the blood vessel bifurcation point are taken as the blood vessel structure, so that the blood vessel segmentation result of the projection image is obtained.
S130, determining a three-dimensional blood vessel image according to blood vessel segmentation results corresponding to all the projection images.
And carrying out three-dimensional reconstruction on the two-dimensional image of the blood vessel segmentation result by using the existing tool, model or program according to the two-dimensional coordinate information of each pixel in the blood vessel segmentation result corresponding to each projection image, the spatial relationship between each projection direction and the blood vessel segmentation result corresponding to each projection image, so as to obtain a three-dimensional blood vessel structure. This has the advantage that the real vessel structure in the pixels that are removed from the projection image due to projection problems can be restored.
According to the technical scheme of the vascular structure reconstruction method, the three-dimensional medical image is projected, the vascular bifurcation point is identified on the projected image, the vascular structure reconstruction is realized on the projected image according to the vascular bifurcation point, the three-dimensional image is generated, and the speed and the accuracy of the vascular structure reconstruction are improved.
Fig. 2 is a flowchart of another vascular structure reconstruction method according to an embodiment of the present invention, where the vascular structure reconstruction method according to the embodiment and the vascular structure reconstruction method according to the embodiment belong to the same inventive concept, and on the basis of the embodiment, a process of determining a three-dimensional vascular image according to the vascular segmentation results corresponding to all the projection images is further described.
As shown in fig. 2, the vascular structure reconstruction method includes:
s210, determining a projection image of the medical image in at least three set projection directions, wherein the medical image comprises at least one blood vessel, and three-dimensional coordinate information of any voxel in the medical image can be determined through projection images in at least two set projection directions in the at least three set projection directions.
S220, determining a blood vessel bifurcation point in the projection image according to any projection image, determining connectivity between each pixel in the projection image and the blood vessel bifurcation point, and determining a blood vessel segmentation result according to the connectivity result.
S2301, determining a three-dimensional blood vessel image based on blood vessel bifurcation results corresponding to any two projection images.
Specifically, since the three-dimensional coordinate information of any voxel in the medical image can be determined by the projection images in at least two of the at least three set projection directions, the two-dimensional projection image can be reconstructed into the three-dimensional image as the three-dimensional blood vessel image based on the two-dimensional coordinate information corresponding to the blood vessel bifurcation result corresponding to any two projection images.
S2302, in the case where it is detected that there is a blood vessel deficiency in the three-dimensional blood vessel image, performing the steps of:
s230201, determining a current projection image in a projection image set based on the set image order, the projection image set including all projection images.
Specifically, the projection images are formed into a projection image set, the projection images in the projection image set are traversed according to the set image sequence, and the projection images are sequentially processed. For example, the projection images in the projection image set are numbered, the numbers are arranged from small to large, and the projection image corresponding to the current number is determined as the current projection image according to the sequence of the numbers.
S230202, determining the current blood vessel bifurcation point in the current projection image based on the set bifurcation point sequence.
Specifically, the order of the blood vessel bifurcation points in the projection image is preset, and the blood vessel bifurcation points included in the current projection image are sequentially processed according to the set bifurcation point order as the set bifurcation point order. Illustratively, the vessel bifurcation points in the current projection image are numbered, the numbers are arranged from small to large, the numbers are used as a set bifurcation point sequence, and the vessel bifurcation point corresponding to the current number in the current projection image is determined as the current vessel bifurcation point according to the sequence of the numbers.
S230203, determining whether the three-dimensional blood vessel image contains the current blood vessel bifurcation point, if yes, executing S230204, and if no, executing S230205.
Determining whether the three-dimensional coordinate information in the three-dimensional blood vessel image comprises the three-dimensional coordinate information corresponding to the two-dimensional coordinate information or not according to the corresponding two-dimensional coordinate information of the current blood vessel bifurcation point and the corresponding projection direction of the current projection image, if so, indicating that the blood vessel structure corresponding to the blood vessel bifurcation point is reserved in the three-dimensional blood vessel image, and continuing to process the blood vessel bifurcation point in the next sequence, and executing S230204; if not, it indicates that there is no vascular structure corresponding to the vascular bifurcation point in the three-dimensional vascular image, and three-dimensional reconstruction needs to be performed by combining with other projection images including the current vascular bifurcation point through S230205.
S230204, determining whether the current blood vessel bifurcation point is the last blood vessel bifurcation point in the current projection image, and if so, executing S230201 when the current projection image is not the last projection image in the projection data set; if not, S230202 is performed.
Specifically, by acquiring the bifurcation point sequence corresponding to the current blood vessel bifurcation point, determining whether the current blood vessel bifurcation point is the last blood vessel bifurcation point in the current projection image, if so, processing the projection image in the next image sequence according to the set image sequence, and returning to S230201; if not, the processing of the vascular bifurcation point corresponding to the next sequence is continued in the bifurcation point sequence, and the process returns to S230202.
S230205, determining a missing blood vessel reconstruction result corresponding to the current blood vessel bifurcation point according to a blood vessel segmentation result corresponding to the current projection image and a blood vessel reconstruction result corresponding to the other projection image and containing the current blood vessel bifurcation point when any other projection image contains the current blood vessel bifurcation point; and if the current vessel bifurcation point is the last vessel bifurcation point in the current projected image and the current projected image is not the last projected image, performing S230201; if the current vessel bifurcation point is not the last vessel bifurcation point, then S230202 is performed.
In the projection image set, projection images other than the current projection image are taken as other projection images. According to the three-dimensional coordinate information of the pixels of the current blood vessel bifurcation point in the three-dimensional blood vessel image/the two-dimensional coordinate information in the blood vessel segmentation result corresponding to the current projection image, and combining the spatial relations among the projection directions corresponding to different projection images, determining the blood vessel reconstruction result corresponding to other projection images and containing the corresponding current bifurcation point; and taking the blood vessel reconstruction result corresponding to the current bifurcation point as a missing blood vessel reconstruction result corresponding to the current bifurcation point according to the blood vessel reconstruction result corresponding to the other projection images. If the current blood vessel bifurcation point is the last blood vessel bifurcation point in the current projection image and the current projection image is not the last projection image, processing the projection images in the next sequence is needed, and returning to S230201; if the current vessel bifurcation point is not the last vessel bifurcation point, then S230202 is performed.
S230206, determining a target three-dimensional vascular reconstruction result based on the three-dimensional vascular image and all the missing vascular reconstruction results.
Combining all the missing blood vessel reconstruction results with the three-dimensional blood vessel image to obtain a three-dimensional blood vessel image of the complete blood vessel structure, and taking the three-dimensional blood vessel image as a target three-dimensional blood vessel reconstruction result.
According to the technical scheme of the vascular structure reconstruction method, the missing vascular reconstruction is performed under the condition that the three-dimensional vascular image is detected to have the blood vessel missing, and the accuracy of vascular structure reconstruction is improved.
Fig. 3A is a block diagram of a vascular structure reconstruction device according to an embodiment of the present invention, where the embodiment is applicable to a scene of vascular structure reconstruction based on medical images, and the device may be implemented in hardware and/or software, and integrated into a processor of an electronic device with an application development function.
As shown in fig. 3A, the vascular structure reconstruction device includes:
a blood vessel image projection module 301, configured to determine a projection image of a medical image in at least three set projection directions, where the medical image includes at least one blood vessel, and three-dimensional coordinate information of any voxel in the medical image is determinable by projection images in at least two of the at least three set projection directions;
the blood vessel segmentation module 302 is configured to determine, for any one of the projection images, a blood vessel bifurcation point in the projection image, determine connectivity between each pixel in the projection image and the blood vessel bifurcation point, and determine a blood vessel segmentation result according to the connectivity result;
the vascular structure reconstruction module 303 is configured to determine a three-dimensional vascular image according to the vascular segmentation results corresponding to all the projection images.
Optionally, as shown in fig. 3B, the apparatus further includes a blood vessel image enhancement module 304, where the blood vessel image enhancement module 304 is configured to: any projection image is input into a blood vessel enhancement algorithm to obtain an enhancement image, and the enhancement image is used for updating the projection image.
Optionally, the vessel segmentation module 302 is further configured to: and removing pixels which have no communication relation with the blood vessel bifurcation point in the projection image according to the connectivity between each pixel in the projection image and the blood vessel bifurcation point.
Optionally, the vascular structure reconstruction module 303 is further configured to:
determining a three-dimensional blood vessel image based on blood vessel bifurcation results corresponding to any two projection images;
in the case where the three-dimensional blood vessel image is detected to have a blood vessel deficiency, the following steps are performed:
step b1, determining a current projection image in a projection image set based on a set image sequence, wherein the projection image set comprises all projection images;
step b2, determining a current blood vessel bifurcation point in the current projection image based on the set bifurcation point sequence;
step b3, determining whether the three-dimensional blood vessel image contains a current blood vessel bifurcation point, if so, executing step b4, and if not, executing step b5;
step b4, determining whether the current blood vessel bifurcation point is the last blood vessel bifurcation point in the current projection image, and if so, executing step b1 under the condition that the current projection image is not the last projection image in the projection data set; if not, executing the step b2;
step b5, determining a missing blood vessel reconstruction result corresponding to the current blood vessel bifurcation point according to the blood vessel segmentation result corresponding to the current projection image and the blood vessel reconstruction result corresponding to the any other projection image and containing the current blood vessel bifurcation point under the condition that any other projection image contains the current blood vessel bifurcation point; and if the current blood vessel bifurcation point is the last blood vessel bifurcation point in the current projection image and the current projection image is not the last projection image, executing the step b1; if the current vessel bifurcation is not the last vessel bifurcation, then step b2 is performed;
and b6, determining a target three-dimensional vascular reconstruction result based on the three-dimensional vascular image and all the missing vascular reconstruction results.
According to the technical scheme of the vascular structure reconstruction method provided by the embodiment of the invention, the three-dimensional medical image is projected, the blood vessel bifurcation point is identified on the projected image, the vascular structure reconstruction is realized on the projected image according to the blood vessel bifurcation point, and the speed and the accuracy of the vascular structure reconstruction are improved.
The vascular structure reconstruction device provided by the embodiment of the invention can execute the vascular structure reconstruction method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Fig. 4 is a block diagram of an electronic device according to an embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the vascular structure reconstruction method.
In some embodiments, the vascular structure reconstruction method may be implemented as a computer program, which is tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the vascular structure reconstruction method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the vascular structure reconstruction method by any other suitable means (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A vascular structure reconstruction method, comprising:
determining a projection image of a medical image in at least three set projection directions, the medical image comprising at least one blood vessel, three-dimensional coordinate information of any voxel in the medical image being determinable from the projection images in at least two of the at least three set projection directions;
determining a blood vessel bifurcation point in the projection image aiming at any projection image, determining connectivity between each pixel in the projection image and the blood vessel bifurcation point, and determining a blood vessel segmentation result according to the connectivity result;
and determining a three-dimensional blood vessel image according to the blood vessel segmentation results corresponding to all the projection images.
2. The method of claim 1, wherein prior to determining a vessel bifurcation in the projection image, comprising:
and inputting any projection image into a blood vessel enhancement algorithm to obtain an enhancement image, and updating the projection image by using the enhancement image.
3. The method of claim 1, wherein the determination of the vessel segmentation result comprises:
and removing pixels which have no communication relation with the blood vessel bifurcation point in the projection image according to the connectivity between each pixel in the projection image and the blood vessel bifurcation point.
4. The method of claim 1, wherein said determining a three-dimensional vessel image from the vessel segmentation results corresponding to all of the projection images comprises:
determining a three-dimensional blood vessel image based on the blood vessel bifurcation results corresponding to any two projection images;
in the case that the three-dimensional blood vessel image is detected to have a blood vessel deficiency, the following steps are executed:
s1, determining a current projection image in a projection image set based on a set image sequence, wherein the projection image set comprises all projection images;
s2, determining a current blood vessel bifurcation point in the current projection image based on a set bifurcation point sequence;
s3, determining whether the three-dimensional blood vessel image contains the current blood vessel bifurcation point, if so, executing S4, and if not, executing S5;
s4, determining whether the current blood vessel bifurcation point is the last blood vessel bifurcation point in the current projection image, and if so, executing S1 when the current projection image is not the last projection image in a projection data set; if not, executing S2;
s5, determining a missing blood vessel reconstruction result corresponding to the current blood vessel bifurcation point according to the blood vessel segmentation result corresponding to the current projection image and the blood vessel reconstruction result corresponding to the any other projection image and containing the current blood vessel bifurcation point when any other projection image contains the current blood vessel bifurcation point, and executing S1 if the current blood vessel bifurcation point is the last blood vessel bifurcation point in the current projection image and the current projection image is not the last projection image; if the current vessel bifurcation is not the last vessel bifurcation, performing S2;
and S6, determining a target three-dimensional vascular reconstruction result based on the three-dimensional vascular image and all the missing vascular reconstruction results.
5. The method of claim 1, wherein the projected image is determined by maximum intensity projection.
6. The method of claim 1, wherein connectivity between each pixel in the projected image and the vessel bifurcation point is determined using a Wo Sheer algorithm.
7. The method of claim 1, wherein the vessel bifurcation point in the projected image is determined by a two-dimensional analytic tensor voting algorithm.
8. A vascular structure reconstruction device, comprising:
a blood vessel image projection module for determining a projection image of a medical image in at least three set projection directions, the medical image comprising at least one blood vessel, three-dimensional coordinate information of any voxel in the medical image being determinable from the projection images in at least two of the at least three set projection directions;
the blood vessel segmentation module is used for determining blood vessel bifurcation points in the projection image aiming at any projection image, determining connectivity between each pixel in the projection image and the blood vessel bifurcation points, and determining a blood vessel segmentation result according to the connectivity result;
and the vascular structure reconstruction module is used for determining a three-dimensional vascular image according to the vascular segmentation results corresponding to all the projection images.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the vascular structure reconstruction method of any one of claims 1-7.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to implement the vascular structure reconstruction method according to any one of claims 1-7 when executed.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116758050A (en) * | 2023-07-12 | 2023-09-15 | 强联智创（北京）科技有限公司 | Method and product for blind completion of central line of intracranial Wills ring blood vessel |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116758050A (en) * | 2023-07-12 | 2023-09-15 | 强联智创（北京）科技有限公司 | Method and product for blind completion of central line of intracranial Wills ring blood vessel |
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