CN114375438A

CN114375438A - Vein blood vessel tumor image processing method and related product

Info

Publication number: CN114375438A
Application number: CN201980100002.9A
Authority: CN
Inventors: 戴维伟·李; 斯图尔特平·李
Original assignee: Weiai Medical Technology Shenzhen Co ltd
Current assignee: Cao Sheng
Priority date: 2019-10-30
Filing date: 2019-10-30
Publication date: 2022-04-19
Also published as: WO2021081846A1

Abstract

A vein tumor image processing method applied to a medical imaging device comprises the steps that the medical imaging device (110) firstly obtains a scanning image (201) of a target part of a user with a vein tumor by a VRDS4D imaging technology, then 4D image data (202) of a plurality of vein blood vessels of the target part are generated according to the scanning image, then a target position (203) of the vein tumor in the vein blood vessels is determined according to the 4D image data of the vein blood vessels, finally, the 4D image data and the target position (204) are output, and a treatment device is controlled to perform surgery (205) synchronously according to the 4D image data and the target position. Therefore, the position of the vein tumor can be accurately positioned based on the 4D image data, and the accuracy of positioning the skin vein tumor is improved. Corresponding image processing apparatus, medical imaging apparatus, storage medium and program product are also disclosed.

Description

Vein blood vessel tumor image processing method and related product

Technical Field

The application relates to the technical field of medical imaging devices, in particular to a vein tumor image processing method and a related product.

Background

Currently, doctors still use the continuous two-dimensional slice scan images, such as CT (computed tomography), MRI (magnetic resonance imaging), DTI (diffusion tensor imaging), PET (positron emission tomography), etc., to judge and analyze the venous vascular tumor of patients. However, the specific position of the vein tumor in a plurality of vein vessels cannot be determined by only directly viewing two-dimensional slice data, which seriously affects the treatment of the vein tumor by doctors, and with the rapid development of medical imaging technology, people put new demands on the image treatment of the vein tumor.

Disclosure of Invention

The embodiment of the application provides a vein tumor image processing method and a related product, which are beneficial to improving the efficiency of disease analysis.

In a first aspect, an embodiment of the present application provides a method for processing an image of a venous vascular tumor, which is applied to a medical imaging apparatus, and includes:

acquiring a scanning image of a target part of a target object with a vein tumor by a VRDS4D imaging technology;

generating 4D image data of a plurality of vein vessels of the target part according to the scanning image;

determining a target location of the venous vessel tumor in the plurality of venous vessels from the 4D image data of the plurality of venous vessels;

outputting the 4D image data and the target position;

and controlling the treatment device to perform an operation according to the 4D image data and the target position.

In a second aspect, the present application provides an image processing apparatus for a venous vascular tumor, which is applied to a medical imaging apparatus, and the apparatus includes:

an acquisition unit for acquiring a scan image of a target portion of a target object where a vein tumor grows by a VRDS4D imaging technique;

a processing unit for generating 4D image data of a plurality of vein vessels of the target region from the scan image;

a determination unit for determining a target position of the venous vessel tumor in the plurality of venous vessels according to the 4D image data of the plurality of venous vessels;

an output unit configured to output the 4D image data and the target position;

and the control unit is used for controlling the treatment device to perform an operation according to the 4D image data and the target position.

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

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program enables a computer to perform some or all of the steps as described in the first aspect of the embodiment of the present application.

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

Drawings

Reference will now be made in brief to the drawings that are needed in describing embodiments or prior art.

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

Fig. 1 is a schematic structural diagram of a system for processing an image of a venous vascular tumor according to an embodiment of the present disclosure;

fig. 2A is a schematic flowchart of a method for processing an image of a venous blood vessel tumor according to an embodiment of the present disclosure;

fig. 2B is a schematic structural diagram of a treatment apparatus according to an embodiment of the present disclosure;

FIG. 2C is a schematic partial view of a cutaneous venous vascular tumor treatment performed at a puncture site of a treatment device according to an embodiment of the present application;

FIG. 2D is a partial schematic view of another embodiment of the present application illustrating a cutaneous venous vascular tumor treatment performed at a puncture site of a treatment device;

FIG. 2E is a schematic partial view of another embodiment of a device for treating cutaneous venous vascular tumors at a puncture site of a treatment device;

FIG. 2F is a schematic partial view of another embodiment of a device for treating cutaneous venous vascular tumors at a puncture site of a treatment device;

fig. 3 is a schematic structural diagram of a medical imaging apparatus provided in an embodiment of the present application;

fig. 4 is a schematic structural diagram of a vein tumor image processing apparatus according to an embodiment of the present disclosure.

Detailed Description

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

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

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

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

Referring to fig. 1, fig. 1 is a schematic structural diagram of a system for processing a vein tumor image according to an embodiment of the present disclosure, as shown in fig. 1, the system 100 includes a medical imaging device 110, a network database 120, and a treatment device 130, where the medical imaging device 110 may include a local medical imaging device 111 and/or a terminal medical imaging device 112, and the local medical imaging device 111 or the terminal medical imaging device 112 is configured to perform identification, positioning, four-dimensional volume rendering, and anomaly analysis on a vein tumor in a target region based on raw DICOM data and based on a vein tumor image processing algorithm presented in an embodiment of the present disclosure, so as to achieve a four-dimensional stereoscopic imaging effect (the 4-dimensional medical image specifically refers to a medical image including an internal spatial structural feature and an external spatial structural feature of a displayed tissue, the internal spatial structural feature refers to that slice data inside the tissue is not lost, that is, the medical imaging device may present the internal structure of the tissue such as the vein vessel in the target site, the external spatial structural characteristics refer to the environmental characteristics between the tissues, including the spatial position characteristics (including intersection, spacing, fusion) between the tissues, and the like, such as the edge structural characteristics of the intersection position between the blood vessel and the like), the local medical imaging device 111 or the terminal medical imaging device 112 may also be used to control the therapy device 130 to perform the operation on the vein tumor of the target site. The local medical imaging device 111 may also be used to edit the map source data with respect to the terminal medical imaging device 112, and form a transfer function result of the four-dimensional human body image, where the transfer function result may include a transfer function result of the vein vessel surface and the tissue structure in the vein vessel, and a transfer function result of the cubic space, such as information of the number of sets of the cubic edit box and the arc edit required by the transfer function, the coordinates, the color, the transparency, and the like. The network database 120 may be, for example, a cloud server, and the like, and the network database 120 is configured to store a map source generated by parsing the raw DICOM data and a transfer function result of the four-dimensional human body image edited by the local medical imaging apparatus 111, where the map source may be from a plurality of local medical imaging apparatuses 111 to implement interactive diagnosis of a plurality of doctors.

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

The following describes the vein tumor image processing method according to the embodiment of the present application in detail.

Referring to fig. 2A, fig. 2A is a schematic flow chart of a method for processing a vein tumor image according to an embodiment of the present disclosure, as shown in fig. 2A, the method for processing a vein tumor image according to the embodiment includes the following steps:

201. the medical imaging device obtains a scanning image of a target part of a target object with a vein tumor by a VRDS4D imaging technology.

The target object is a patient with a skin with a vein tumor, the target site is the skin with the vein tumor, the skin with the vein tumor can be determined by a doctor according to the appearance symptoms of the skin, the scanning image can be a CT image, the scanning image can be an MRI image, the scanning image can be a DTI image, the scanning image can be a PET-CT image, and the like, and the method is not limited herein. The medical imaging device may acquire a scanned image of the internal structure of the skin reflecting the vein tumor.

202. The medical imaging device generates 4D image data of a plurality of vein vessels of the target site from the scan image.

Wherein, the medical imaging device generating 4D image data of a plurality of vein vessels of the target part according to the scanning image can be realized by: the medical imaging device processes the scanning image to obtain 4D image data of the target part, wherein the 4D image data comprises 4D image data of the vein vessels.

In a specific implementation, the medical imaging apparatus inputs a locally acquired skin scan image of a tumor with a vein into a VRDS (Virtual Reality vector system) system to obtain 4D image data of a plurality of vein vessels of the target region, where the 4D image data of the plurality of vein vessels includes internal spatial structure features and external spatial structure features of the plurality of vein vessels.

203. The medical imaging device determines a target location of the venous vessel tumor in the plurality of venous vessels from 4D image data of the plurality of venous vessels.

Optionally, the determining a target position of the venous blood vessel tumor in the plurality of venous blood vessels according to the 4D image data of the plurality of venous blood vessels comprises: determining smooth muscle image data and elastic fiber image data corresponding to the vein vessels according to the 4D image data of the vein vessels; determining abnormal data corresponding to the plurality of vein vessels according to the smooth muscle image data and the elastic fiber image data; determining a target location of the venous vessel tumor in the plurality of venous vessels based on the anomaly data.

In order to determine the target position corresponding to the venous vascular tumor, the internal and external spatial structural features of the smooth muscle and the internal and external spatial structural features of the elastic fiber corresponding to the venous blood vessel may be processed to determine abnormal data in the spatial structural features, for example, if the differences between the internal and external spatial structural features of the smooth muscle and the elastic fiber corresponding to the venous blood vessel and the normal features are too large, the corresponding section of the venous blood vessel where the smooth muscle and the elastic fiber are too different may be determined as the target position.

It can be seen that in the present example, the medical imaging device can determine the location of the venous vessel tumor by determining abnormal data in the plurality of venous vessel 4D image data.

Optionally, the medical imaging apparatus determines a target position of the vein tumor in the vein vessels according to the 4D image data of the vein vessels, including: the medical imaging device establishes a coordinate system according to the 4D image data of the plurality of vein vessels, the origin of the coordinate system is any position of the target part, and the X axis, the Y axis and the Z axis of the coordinate system are mutually vertical and follow the right-hand spiral rule; the medical imaging device starts from the origin of the coordinate system, and respectively detects according to preset distances along the positive direction and the negative direction of the X axis, the positive direction and the negative direction of the Y axis and the positive direction and the negative direction of the Z axis of the coordinate system, when a gray value corresponding to a first pixel point is detected to belong to a gray value corresponding to venous blood vessel cell data of the outermost layer of the venous blood vessels, the spatial position corresponding to the first pixel point is recorded, and when a gray value corresponding to a second pixel point is detected to belong to a gray value not corresponding to the venous blood vessel cell data of the outermost layer of the venous blood vessels and a gray value corresponding to an adjacent pixel point of the second pixel point belongs to a gray value corresponding to the venous blood vessel cell data of the outermost layer of the venous blood vessels, the spatial position corresponding to the second pixel point is recorded; the medical imaging device cuts the image data according to the spatial positions corresponding to all the first pixel points and the spatial positions corresponding to all the second pixel points to obtain a plurality of outermost vein blood vessel cell data sets corresponding to a plurality of vein blood vessels, wherein each outermost vein blood vessel cell data set comprises a plurality of outermost vein blood vessel cell data; the medical imaging apparatus performs the following steps for each outermost vein vascular cell data set: the medical imaging device acquires a characteristic curve of a projection of a currently processed outmost vein blood vessel cell data set on any plane; selecting any point of the characteristic curve as a starting point; starting from the starting point, marking pixel points continuously along the positive direction and the negative direction of the characteristic curve, stopping marking when a target pixel point is marked, wherein the positive direction of the characteristic curve is the transverse positive direction of the image data, the negative direction of the characteristic curve is the transverse negative direction of the image data, the target pixel point is a pixel point with the largest curvature change of a target venous blood vessel section, the target venous blood vessel section is a venous blood vessel of the target venous blood vessel between the starting point and a target space position, the target venous blood vessel corresponds to the outermost layer venous blood vessel cell data set which is processed currently, and the target space position is a position corresponding to the target pixel point; acquiring the curvature corresponding to the target venous vessel section; setting the curvature corresponding to the target venous vessel section as the corresponding curvature of the target venous vessel; comparing the curvature with a standard curvature, wherein the standard curvature is a curvature corresponding to the vein under a normal condition; if the curvature is not matched with the standard curvature, acquiring 4D image data of the target venous vessel section; determining a target location of the venous vessel tumor in the plurality of venous vessels from the 4D image data of the target venous vessel segment. The bending degree of the blood vessel is abnormal, and the fact that a tumor possibly appears is also shown, so that the bending degree of each vein blood vessel in the vein blood vessels is determined by processing the 4D image data of the vein blood vessels, the position of the tumor of the vein blood vessel is determined according to the bending degree of each vein blood vessel, and the purpose of the vein blood vessel is improved.

Wherein the determining the target position of the venous vessel tumor in the plurality of venous vessels according to the 4D image data of the target venous vessel segment may be implemented by: determining smooth muscle image data and elastic fiber image data corresponding to the target venous vessel section according to the 4D image data of the target venous vessel section; determining abnormal data corresponding to the target venous vessel section according to the smooth muscle image data and the elastic fiber image data; determining a target location of the venous vessel tumor in the plurality of venous vessels based on the anomaly data. For the principle and the processing manner of the process and the principle and the processing manner of determining the smooth muscle image data and the elastic fiber image data corresponding to the plurality of vein vessels according to the 4D image data of the plurality of vein vessels, please refer to the description herein about determining the smooth muscle image data and the elastic fiber image data corresponding to the plurality of vein vessels according to the 4D image data of the plurality of vein vessels, which is not repeated herein.

Further, the target location is included on one of the plurality of venous vessels, or at an intersection of m venous vessels of the plurality of venous vessels, where m is a positive integer greater than 1. Wherein m may be 2, m may be 3, m may be 4, m may be 5, m may be 10, etc., without being particularly limited.

It can be seen that in this example, the electronics are capable of determining a specific location of a venous vascular tumor to facilitate control of the treatment apparatus for a surgical procedure.

204. The medical imaging device outputs the 4D image data and the target location.

Wherein the medical imaging apparatus outputting the 4D image data and the target position may be displaying the 4D image data and the target position on a current display interface of the medical imaging apparatus.

In addition, the medical imaging device may transmit the 4D image data and the target location to the treatment device, and the medical device displays the 4D image data and the target location on a current interface of the medical device.

205. The medical imaging device controls the treatment device to perform surgery according to the 4D image data and the target position.

Alternatively, as shown in fig. 2B, fig. 2B is a schematic structural diagram of a treatment apparatus provided in an embodiment of the present application, and as shown in fig. 2B, the treatment apparatus includes a puncture member 01 and a power supply unit 02, where the puncture member 01 includes a puncture body I, the puncture body I may be in a needle shape, a tip of the puncture body I is II, the puncture body I may puncture into a vein where a vein tumor is generated or a living tissue near a location where the vein tumor is generated, and the tip II of the puncture body is formed by a conductor; and a power supply unit 02 which supplies power to the puncture member 01 in a state where the puncture body I is punctured into a vein vessel in which a vein tumor is generated or a living tissue in the vicinity of a position in which the vein tumor is generated, and burns the conductor position of the puncture member 01, that is, the distal end II of the puncture body, to cauterize the vein vessel in which the vein tumor is generated or the living tissue in the vicinity of the position in which the vein tumor is generated, thereby blocking the vein vessel, that is, blocking the blood flow of the vein vessel in which the vein tumor is generated, retracting the vein vessel, and finally disappearing the vein tumor from the skin surface.

In this case, the medical imaging apparatus may control the treatment apparatus to perform the operation based on the 4D image data and the target position in such a manner that the medical imaging apparatus controls the treatment apparatus to puncture a puncture member of the medical imaging apparatus to a position on the living tissue near the target position or a position on the living tissue near the target position where the vein blood vessel corresponding to the target position passes through the target position based on the 4D image data and the target position, and activates a power supply unit to supply power to the puncture member to cauterize the vein blood vessel generating the vein blood vessel tumor or the living tissue near the position generating the vein blood vessel tumor, so as to block the vein blood vessel, that is, to block the blood flow of the vein blood vessel generating the vein blood vessel tumor to retract the vein blood vessel, and finally to disappear the vein blood vessel tumor from the skin surface.

Optionally, the target position is on one of the plurality of venous vessels, and the medical imaging device controls the treatment device to perform an operation according to the image data and the position information, including: the medical imaging device controls the treatment device to provide heat to the vein vessel with the vein vessel tumor, and burns the vein vessel with the vein vessel tumor.

Wherein the medical imaging device controls the treatment device to provide heat to the vein vessel with the vein vessel tumor, and the burning of the vein vessel with the vein vessel tumor can be: the medical imaging device controls a tip of a puncturing body of the medical device to puncture at the target location; the medical imaging device controls a power supply unit of the medical device to supply current to a puncture body of the medical device.

For example, referring to fig. 2C, fig. 2C is a partial schematic view of a skin vein tumor treatment performed through a puncture site of a treatment device according to an embodiment of the present application, as shown in fig. 2C, when a medical imaging device determines that a target location is on one of the vein vessels, the medical imaging device controls a position where a tip of a puncture body of the medical device pierces a vein tumor, that is, the target location within a dashed-line frame in fig. 2C, and controls the medical device to turn on a power supply unit to supply a current to the puncture portion of the medical device, so that the tip of the puncture body of the medical device heats up, burns the target location, so that the vein is blocked, that is, blood flow of a generated vein is blocked, so that the vein is retracted, and finally the vein tumor disappears from a skin surface.

The medical imaging device controls the treatment device to provide heat to the vein with the vein vascular tumor, and burning the vein with the vein vascular tumor can also be: the medical imaging device controls the medical device to determine the position of the venous blood vessel tumor as a target position; the medical imaging device controls the medical device to determine veins corresponding to the venous vascular tumor; the medical imaging device controls the tip of the puncture body of the medical device to puncture the tissue near the vein vessel tumor, wherein the tissue near the vein vessel tumor comprises the vein corresponding to the vein vessel tumor; the medical imaging device controls a power supply unit of the medical device to supply current to a puncture body of the medical device.

For example, referring to fig. 2D, fig. 2D is a partial schematic view of another skin vein tumor treatment performed through a puncture site of a treatment device according to an embodiment of the present application, as shown in fig. 2D, when the medical imaging device determines that the target location is on one of the veins, the tip of the puncturing body of the medical device is controlled to puncture a tissue near the target location, the tissue includes the vein with the vein tumor therein, the tissue near the target location may be a position at a distance from the target location, the distance may be any value between 1nm and 0.5cm, the tissue near the target location may be a position 0.1cm from the target location, the tissue near the target location may be a position 10nm from the target location, the distance is not particularly limited, and when the tip of the puncturing body of the medical device punctures the tissue near the target location, controlling the medical device to start a power supply unit, supplying current to a puncture part of the medical device to heat the tip of the puncture part of the medical device, burning tissues near the target position, and providing heat transfer to block the vein vessel with the vein tumor, namely, blocking the blood flow of the vein vessel with the vein tumor to retract the vein vessel, and finally enabling the vein tumor to disappear from the surface of the skin.

Optionally, the controlling the treatment device to perform the operation according to the image data and the position information includes: the medical imaging device controls the treatment device to respectively provide heat for the m venous blood vessels and burn the m venous blood vessels.

Wherein, the medical imaging device controls the therapy device to respectively provide heat for the m vein vessels, and the implementation manner of burning the m vein vessels can be as follows: the medical imaging device controls the tip of the puncture body of the medical device to sequentially penetrate the m venous blood vessels or tissues near the m venous blood vessels near the target position, and controls the power supply unit of the medical device to supply current to the puncture body of the medical device when the tip of the puncture body penetrates the m venous blood vessels or tissues near the m venous blood vessels near the target position.

For example, referring to fig. 2E, fig. 2E is a partial schematic view of another skin vein tumor treatment performed through a puncture site of a treatment device according to an embodiment of the present application, as shown in fig. 2E, when a medical imaging device determines that a target location is at an intersection of 2 veins of the vein vessels, the 2 veins are respectively labeled as a first vein vessel and a second vein vessel for easy distinction, the medical imaging device may first control a tip of a puncture body of the medical device to penetrate into a first position (target location) of the first vein vessel close to the vein tumor, and control a power supply unit of the medical device to supply a current to the puncture body of the medical device when the puncture body penetrates into the first position, and then control the tip of the puncture body of the medical device to penetrate into a second position of the first vein vessel close to the vein tumor (target location), and controlling a power supply unit of the medical device to supply current to a penetrating body of the medical device when the penetrating body penetrates into the second position. It should be noted that, the position close to the venous vascular tumor in the venous blood vessel in which the venous vascular tumor is grown may be any position which is less than 0.5cm away from the position of the venous vascular tumor in the venous blood vessel in which the venous vascular tumor is grown; furthermore, the medical imaging apparatus may further control the tip of the puncturing body of the medical apparatus to first penetrate to a position near the venous vascular tumor (target position) and near the first venous blood vessel, and control the power supply unit of the medical apparatus to supply the current to the puncturing part of the medical apparatus when the tip of the puncturing body penetrates to the position near the third position, and then control the tip of the puncturing body of the medical apparatus to penetrate to a position near the venous vascular tumor (target position) and near the first venous blood vessel, and control the power supply unit of the medical apparatus to supply the current to the puncturing body of the medical apparatus when the tip of the puncturing body penetrates to the third position. The position near the venous vascular tumor and near the corresponding venous blood vessel may be any position of the tissue less than 0.5cm from the position of the venous vascular tumor and less than 0.5cm from the corresponding vein, and the distance is not particularly limited.

The medical imaging device controls the tip of the puncture body of the medical device to sequentially penetrate the m vein blood vessels or tissues near the m vein blood vessels close to the target position, controls the power supply unit of the medical device to supply current to the puncture part of the medical device when the tip of the puncture body penetrates the m vein blood vessels or tissues near the m vein blood vessels close to the target position so that the tip of the puncture body of the medical device generates heat, burns the m vein blood vessels or tissues near the m vein blood vessels close to the target position, and provides heat transfer so that vein blood vessels with vein tumor grow are blocked, namely, blood flow of veins generating vein blood vessel tumor is blocked to retract the vein blood vessels, and finally the vein blood vessel tumor disappears from the surface of skin.

Optionally, the controlling the treatment device to perform the operation according to the image data and the position information includes: the medical imaging device controls the treatment device to simultaneously provide heat to the m venous blood vessels, and burns the m venous blood vessels.

Wherein the medical imaging device controls the therapy device to provide heat to the m venous blood vessels simultaneously, and burning the m venous blood vessels may be: the medical imaging device controls a puncturing part of the medical device to penetrate into the target position; the medical imaging device controls a power supply unit of the medical device to supply current to a puncture portion of the medical device.

For example, referring to fig. 2F, fig. 2F is a partial schematic view of another skin vein tumor treatment performed by a puncture site of a treatment device according to an embodiment of the present application, as shown in fig. 2F, controlling a position at which a tip of a puncturing part of the medical apparatus penetrates a tumor of the vein vessel when the medical imaging apparatus determines that the target position is on two vein vessels of the plurality of vein vessels, i.e., the target position in fig. 2F, controls the medical device to turn on the power supply unit, supplies current to the puncturing part of the medical device, so that the tip of the puncture body of the medical device is heated to burn the target position, and two vein vessels corresponding to the target position are blocked, that is, the blood flow of two venous vessels in which a venous vascular tumor occurs is blocked to retract the venous vessels, and the venous vascular tumor is finally eliminated from the skin surface.

Wherein, the step 204 and the step 205 do not occur in a sequential order, and may occur simultaneously, and certainly, in the practical process, the outputting the 4D image data and the target position may be displaying a human-computer interaction window on a current display interface of the medical imaging device, where the human-computer interaction window includes the 4D image data and the target position and a virtual button for controlling to start the treatment device to perform the vein tumor surgery on the skin portion, such as "perform the surgery immediately", and when the user selects the virtual button, the medical imaging device controls the treatment device to perform the vein tumor surgery; the outputting the 4D image data and the target position may be displaying a human-computer interaction window on a current display interface of the treatment device, where the human-computer interaction window includes the 4D image data and the target position and a virtual button for controlling the treatment device to perform a vein tumor surgery on a skin region, such as "perform an operation immediately", and when the user selects the virtual button, the treatment device performs the vein tumor surgery under the control of the medical imaging device; the medical imaging device controls the treatment device to perform vein tumor surgery; the outputting the 4D image data and the target position may be displaying a human-machine interaction window on a current display interface of the treatment apparatus and a current display interface of the treatment apparatus at the same time, where the human-machine interaction window includes the 4D image data and the target position and a virtual button for controlling to start the treatment apparatus to perform a vein tumor surgery on a skin region, such as "performing the surgery immediately", and after the user selects the virtual button on the current display interface of the treatment apparatus and/or the user selects the virtual button on the current display interface of the medical imaging apparatus, the treatment apparatus performs the vein tumor surgery under the control of the medical imaging apparatus.

It can be seen that, according to the vein tumor image processing method provided in the embodiment of the present application, the medical imaging device first obtains a scanned image of a target portion of a user with a vein tumor by using a VRDS4D imaging technology, then generates 4D image data of a plurality of vein blood vessels of the target portion according to the scanned image, then determines a target position of the vein tumor in the plurality of vein blood vessels according to the 4D image data of the plurality of vein blood vessels, and finally outputs the 4D image data and the target position, and synchronously controls the treatment device to perform an operation according to the 4D image data and the target position. Therefore, the medical imaging device provided by the embodiment can accurately position the position of the vein tumor based on the 4D image data, and is favorable for improving the accuracy of positioning the vein tumor.

In one possible example, the medical imaging device determines smooth muscle image data and elastic fiber image data corresponding to the plurality of vein vessels from 4D image data of the plurality of vein vessels, including: the medical imaging device determines a space coordinate of each 4D image data in the 4D image data of the vein vessels according to the 4D image data of the vein vessels to obtain a plurality of space coordinates; the medical imaging device determines a smooth muscle space coordinate set and an elastic fiber space coordinate set corresponding to the vein vessels according to the space coordinates; and the medical imaging device determines the smooth muscle image data and the elastic fiber data corresponding to the vein vessels according to the smooth muscle space coordinate set and the elastic fiber space coordinate set.

Wherein, the plurality of venous vessel 4D image data reflect the spatial structure characteristics of each component of the vein part, so that the target position of the tumor with vein can be determined by the spatial structure characteristics, specifically, a plurality of data corresponding to each component of the plurality of venous vessels can be determined, a plurality of spatial coordinates corresponding to the plurality of components can be obtained, each component can correspond to a plurality of spatial coordinates, since the plurality of venous vessel 4D image data are the image data of each component, in order to improve the accuracy, a plurality of target spatial coordinates corresponding to the smooth muscle and the elastic fiber in the plurality of venous vessels can be determined, then, in order to specifically locate the target position of the venous vessel tumor, the spatial coordinates of each venous component can be classified, and finally, a smooth muscle spatial coordinate set and an elastic fiber spatial coordinate set can be obtained, smooth muscle image data and elastic fiber image data respectively corresponding to the space coordinate set can be obtained from the plurality of venous vessel 4D image data, so that the accuracy of positioning the venous vessel tumor position is improved.

In one possible example, the medical imaging device determines corresponding abnormal data of the plurality of venous vessels according to the smooth muscle image data and the elastic fiber image data, and comprises: the medical imaging device generates characteristic data of smooth muscles and elastic fibers corresponding to the vein vessels according to the smooth muscle image data and the elastic fiber data corresponding to the vein vessels, wherein the characteristic data is used for reflecting spatial position and thickness; the medical imaging device compares the characteristic data of the smooth muscle and the elastic fiber corresponding to the vein vessels with a preset normal data set corresponding to the vein vessels, wherein the preset normal characteristic data set of the vein vessels comprises standard characteristic data of the smooth muscle and standard characteristic data of the elastic fiber; and if not, determining that the corresponding characteristic data are abnormal data corresponding to the vein vessels.

Wherein, the abnormal data may be data corresponding to the position of the skin with vein tumor. The preset normal data can be preset by a user, when venous blood vessels of the skin grow venous blood vessel tumors, the preset normal data are vascular lesions with highly expanded venous blood vessels, at the moment, the walls of the venous blood vessels are less provided with smooth muscles and elastic fibers, and the walls of the venous blood vessels can also be thickened due to thickening of the elastic fibers and calcification; therefore, at least one of the spatial position and thickness of the smooth muscle and the spatial position and thickness of the elastic fiber corresponding to the plurality of vein vessels can be generated according to the internal spatial structural feature and the external spatial structural feature corresponding to the smooth muscle and the elastic fiber of the plurality of vein vessels respectively; when at least one type of data of a plurality of vein vessels is obtained, the at least one type of data is compared with a preset normal data set under a normal condition corresponding to smooth muscles and elastic fibers of the vein vessels, and if the at least one type of data is not matched with the preset normal data set, the corresponding characteristic data is determined to be abnormal data corresponding to the vein vessels.

In one possible example, the medical imaging device determines a target location of the venous vessel tumor in the plurality of venous vessels from 4D image data of the plurality of venous vessels, including: the medical imaging device determines smooth muscle image data and elastic fiber image data corresponding to the vein vessels according to the 4D image data of the vein vessels; the medical imaging device determines abnormal data corresponding to the vein vessels according to the smooth muscle image data and the elastic fiber image data; the medical imaging device determines a target location of the venous vessel tumor in the plurality of venous vessels based on the anomaly data.

Wherein, since tumor cells of skin veins are limited to a plurality of venous vessel structures under the skin, in order to determine target positions corresponding to the venous vessel tumors, the internal and external spatial structural features of the displayed smooth muscle, the internal and external spatial structural features of the elastic fiber, and the internal and external spatial structural features corresponding to the plurality of venous vessels are determined and processed to determine abnormal data in the spatial structural features, for example, if the internal and external spatial structural features corresponding to the smooth muscle and the elastic fiber are too different from normal features, the target positions corresponding to the tumors are determined to be positions where the too different smooth muscle and elastic fiber are located; therefore, the position of the vein tumor can be accurately positioned through the 4D image data of the vein vessels.

In one possible example, the medical imaging device generates 4D imagery data of a plurality of venous vessels of the target site from the scan image, including: the medical imaging device obtains a bitmap BMP data source according to the scanning image; the medical imaging device leads the BMP data source into a preset VRDS medical network model to obtain first medical image data, wherein the first medical image data comprises a 4D vein vessel data set of the vein vessels; the medical imaging device leads the first medical image data into a preset cross blood vessel network model to obtain second medical image data, and the second medical image data comprises a smooth muscle data set and an elastic fiber data set; the medical imaging device executes a second preset process on the second medical image data to obtain target 4D medical image data, wherein the target 4D medical image data comprises: a 4D venous vessel data set, the smooth muscle data set, and the elastic fiber data set of the plurality of venous vessels.

Here, the medical imaging device obtaining a bitmap BMP data source from the scan image includes performing at least one of: VRDS-constrained contrast adaptive histogram equalization, hybrid partial differential de-noising, VRDS Ai elastic deformation processing, etc., and are not limited herein; the limiting contrast specifically comprises region noise contrast amplitude limiting and global contrast amplitude limiting; dividing a local histogram of a graph source into a plurality of partitions, determining the inclination of a transformation function according to the inclination of a cumulative histogram of a neighborhood of each partition aiming at each partition, determining the contrast amplification degree of the periphery of a pixel value of each partition according to the inclination of the transformation function, then carrying out limit cutting processing according to the contrast amplification degree to generate the distribution of an effective histogram and simultaneously generate values of the size of the effective available neighborhood, and uniformly distributing the cut partial histograms to other areas of the histogram; different from Gaussian low-pass filtering (the high-frequency components of an image are indiscriminately weakened, image edge blurring can be generated during denoising), the isoluminance lines (including edges) formed by objects in a natural image are curves which are smooth enough, namely the absolute values of the curvatures of the isoluminance lines are small enough, after the image is polluted by noise, the local gray values of the image can be randomly fluctuated, the isoluminance lines are irregularly oscillated, the isoluminance lines with large local curvatures are formed, and according to the principle, a mixed partial differential denoising model which can protect the image edge and can avoid the step effect in the smoothing process is designed by VRDS Ai curvature driving and VRDS Ai high-order mixed denoising; the VRDS Ai elastic deformation processing is carried out on the original lattice, positive and negative random distances are superposed to form a difference position matrix, then a new lattice is formed on the gray level of each difference position, the distortion deformation in the image can be realized, and in addition, the operations of rotation, distortion, translation and the like are carried out on the image.

The medical imaging apparatus imports the BMP data source into a preset VRDS medical network model, and the obtaining of the first medical image data may be implemented by calling each transfer function in a pre-stored transfer function set through the VRDS medical network model, and processing the BMP data source through a plurality of transfer functions in the transfer function set to obtain the first medical image data, where the transfer function set may include a transfer function of each vein in the vein vessels preset by a reverse editor, and the transfer function of each vein may include: a smooth muscle transfer function per vein and an elastic fiber transfer function per vein.

The medical imaging device may import the first medical image data into a preset cross blood vessel network model, and the second medical image data may be obtained by performing data segmentation on the cross blood vessel network model to obtain a smooth muscle data set and an elastic fiber data set of the plurality of vein blood vessels, where first data in the smooth muscle data set of the plurality of vein blood vessels and second data in the data set of the elastic fiber data set are independent of each other, the first data is data associated with a cross position of the smooth muscle, and the second data is data associated with a cross position of the elastic fiber, and finally, the second medical image data may be obtained.

Wherein the second preset treatment comprises at least one of the following methods: 2D boundary optimization processing, 3D boundary optimization processing, data enhancement processing, and the like, which are not limited herein; the 2D boundary optimization process includes: the method comprises the steps of obtaining low-resolution information and high-resolution information through multiple sampling, wherein the low-resolution information can provide context semantic information of a segmentation target in the whole image, namely features reflecting the relation between the segmentation target and the environment, the features are used for judging object types, and the high-resolution information is used for providing more fine features such as gradients and the like for the segmentation target, wherein the segmentation target can comprise a plurality of vein blood vessels, and each vein in the plurality of vein blood vessels can comprise smooth muscle and elastic fiber.

Referring to fig. 3 in accordance with the embodiment shown in fig. 2A, fig. 3 is a schematic structural diagram of a medical imaging apparatus provided in an embodiment of the present application, and as shown in fig. 3, the medical imaging apparatus 300 includes a processor 310, a memory 320, a communication interface 330, and one or more programs 321, where the one or more programs 321 are stored in the memory 320 and configured to be executed by the processor 310, and the one or more programs 321 include instructions for performing the following steps:

acquiring a scanning image of a target part of a user with a vein tumor by a VRDS4D imaging technology;

outputting the 4D image data and the target position;

It can be seen that, according to the vein tumor image processing method provided in the embodiment of the present application, the medical imaging device first obtains a scanned image of a target portion of a user with a vein tumor by using a VRDS4D imaging technology, then generates 4D image data of a plurality of vein blood vessels of the target portion according to the scanned image, then determines a target position of the vein tumor in the plurality of vein blood vessels according to the 4D image data of the plurality of vein blood vessels, and finally outputs the 4D image data and the target position, and synchronously controls the treatment device to perform an operation according to the 4D image data and the target position. It can be seen that the medical imaging device that this embodiment provided can be based on the position of 4D image data accurate positioning vein blood vessel tumour, is favorable to improving the accuracy of skin vein blood vessel tumour location.

In one possible example, the instructions of the one or more programs 321 are specifically configured to perform the following steps in the determination of the target location of the venous-vessel tumor in the plurality of venous vessels from the 4D image data of the plurality of venous vessels: determining smooth muscle image data and elastic fiber image data corresponding to the vein vessels according to the 4D image data of the vein vessels; determining abnormal data corresponding to the plurality of vein vessels according to the smooth muscle image data and the elastic fiber image data; determining a target location of the venous vessel tumor in the plurality of venous vessels based on the anomaly data.

In one possible example, in the determining smooth muscle image data and elastic fiber image data corresponding to the plurality of vein vessels from the 4D image data of the plurality of vein vessels, the instructions of the one or more programs 321 are specifically configured to perform the following steps: determining a space coordinate of each 4D image data in the 4D image data of the vein vessels according to the 4D image data of the vein vessels to obtain a plurality of space coordinates; determining a smooth muscle space coordinate set and an elastic fiber space coordinate set corresponding to the vein vessels according to the space coordinates; and determining the smooth muscle image data and the elastic fiber data corresponding to the plurality of vein vessels according to the smooth muscle space coordinate set and the elastic fiber space coordinate set.

In one possible example, in said determining abnormal data corresponding to said plurality of venous vessels from said smooth muscle image data and said elastic fiber image data, the instructions of said one or more programs 321 are specifically configured to perform the following steps: generating feature data of smooth muscles and feature data of elastic fibers corresponding to the vein vessels according to the smooth muscle image data and the elastic fiber data corresponding to the vein vessels, wherein the feature data are used for reflecting spatial positions and thicknesses; comparing the characteristic data of the smooth muscle and the characteristic data of the elastic fiber corresponding to the vein vessels with a preset normal data set corresponding to the vein vessels, wherein the preset normal characteristic data set of the vein vessels comprises standard characteristic data of the smooth muscle and standard characteristic data of the elastic fiber; and if not, determining that the corresponding characteristic data are abnormal data corresponding to the vein vessels.

In one possible example, in said determining a target location of the venous vessel tumor in the plurality of venous vessels from the anomaly data, the instructions of the one or more programs 321 are specifically for performing the steps of: determining spatial position data corresponding to the abnormal data; determining spatial position data corresponding to the vein tumor according to the spatial position data corresponding to the abnormal data; and positioning the vein tumor according to the space position data corresponding to the vein tumor to obtain the target position of the vein tumor in the vein vessels.

In one possible example, m is a positive integer greater than 1 at an intersection of m of the plurality of venous vessels, or on one of the plurality of venous vessels at the target location.

In one possible example, the target location is on one of the plurality of venous vessels, and the instructions of the one or more programs 321 are specifically configured to perform the following steps in the aspect of controlling the treatment device to perform the operation according to the image data and the location information: and controlling the treatment device to provide heat to the vein with the vein vascular tumor, and burning the vein with the vein vascular tumor.

In one possible example, the target location is at an intersection of m venous vessels of the plurality of venous vessels, in the aspect of controlling the treatment device to perform the procedure based on the image data and the location information, the instructions of the one or more programs 321 are specifically for performing the steps of: and controlling the treatment device to respectively provide heat for the m vein vessels and burn the m vein vessels.

In one possible example, in the generation of 4D imagery data of a plurality of venous vessels of the target site from the scan image, the instructions of the one or more programs 321 are specifically configured to perform the steps of: obtaining a bitmap BMP data source according to the scanning image; importing the BMP data source into a preset VRDS medical network model to obtain first medical image data, wherein the first medical image data comprises a 4D vein vessel data set of the vein vessels; importing the first medical image data into a preset cross blood vessel network model to obtain second medical image data, wherein the second medical image data comprises a smooth muscle data set and an elastic fiber data set; executing a second preset process on the second medical image data to obtain target 4D medical image data, wherein the target 4D medical image data comprises: a 4D venous vessel data set, the smooth muscle data set, and the elastic fiber data set of the plurality of venous vessels.

In accordance with the embodiment shown in fig. 2A, the following is a device for implementing the method for processing an image of a vein tumor, and specifically includes:

referring to fig. 4, fig. 4 is a schematic structural diagram of a vein tumor image processing apparatus according to an embodiment of the present disclosure, and as shown in fig. 4, the vein tumor image processing apparatus 400 described in the present embodiment includes: the acquiring unit 401, the processing unit 402, the determining unit 403, the outputting unit 404 and the controlling unit 405 are as follows:

the acquiring unit 401 is configured to acquire a scanned image of a target portion of a user with a vein tumor by using a VRDS4D imaging technology;

the processing unit 402 is configured to generate 4D image data of a plurality of vein vessels of the target region from the scan image;

the determining unit 403 is configured to determine a target position of the vein tumor in the vein vessels according to the 4D image data of the vein vessels;

the output unit 404 is configured to output the 4D image data and the target position;

the control unit 405 is configured to control the treatment device to perform an operation according to the 4D image data and the target position.

It can be seen that, according to the vein tumor image processing method provided in the embodiment of the present application, the medical imaging device first obtains a scanned image of a target portion of a user with a vein tumor by using a VRDS4D imaging technology, then generates 4D image data of a plurality of vein blood vessels of the target portion according to the scanned image, then determines a target position of the vein tumor in the plurality of vein blood vessels according to the 4D image data of the plurality of vein blood vessels, and finally outputs the 4D image data and the target position, and synchronously controls the treatment device to perform an operation according to the 4D image data and the target position. Therefore, the medical imaging device provided by the embodiment can accurately position the vein tumor based on the 4D image data, and is favorable for improving the accuracy of positioning the skin vein tumor.

In one possible example, in terms of the determining the target location of the venous vessel tumor in the plurality of venous vessels from the 4D image data of the plurality of venous vessels, the determining unit 403 is specifically configured to:

determining smooth muscle image data and elastic fiber image data corresponding to the vein vessels according to the 4D image data of the vein vessels;

determining abnormal data corresponding to the plurality of vein vessels according to the smooth muscle image data and the elastic fiber image data;

determining a target location of the venous vessel tumor in the plurality of venous vessels based on the anomaly data.

In one possible example, in the aspect of determining smooth muscle image data and elastic fiber image data corresponding to the vein vessels according to the 4D image data of the vein vessels, the determining unit 403 is specifically configured to:

determining a space coordinate of each 4D image data in the 4D image data of the vein vessels according to the 4D image data of the vein vessels to obtain a plurality of space coordinates;

determining a smooth muscle space coordinate set and an elastic fiber space coordinate set corresponding to the vein vessels according to the space coordinates;

and determining the smooth muscle image data and the elastic fiber data corresponding to the plurality of vein vessels according to the smooth muscle space coordinate set and the elastic fiber space coordinate set.

In a possible example, in the determining abnormal data corresponding to the plurality of vein vessels according to the smooth muscle image data and the elastic fiber image data, the determining unit 403 is specifically configured to:

generating feature data of smooth muscles and feature data of elastic fibers corresponding to the vein vessels according to the smooth muscle image data and the elastic fiber data corresponding to the vein vessels, wherein the feature data are used for reflecting spatial positions and thicknesses;

comparing the characteristic data of the smooth muscle and the characteristic data of the elastic fiber corresponding to the vein vessels with a preset normal data set corresponding to the vein vessels, wherein the preset normal characteristic data set of the vein vessels comprises standard characteristic data of the smooth muscle and standard characteristic data of the elastic fiber;

and if not, determining that the corresponding characteristic data are abnormal data corresponding to the vein vessels.

In one possible example, in said determining the target location of the venous vessel tumor in the plurality of venous vessels according to the abnormality data, the determining unit 403 is specifically configured to:

determining spatial position data corresponding to the abnormal data;

determining spatial position data corresponding to the vein tumor according to the spatial position data corresponding to the abnormal data;

and positioning the vein tumor according to the space position data corresponding to the vein tumor to obtain the target position of the vein tumor in the vein vessels.

In one possible example, the target location is included on one of the plurality of venous vessels, or, at an intersection of m venous vessels of the plurality of venous vessels, m is a positive integer greater than 1.

In a possible example, the target position is on one of the plurality of venous blood vessels, and in the aspect of controlling the therapy apparatus to perform the operation according to the image data and the position information, the control unit 405 is specifically configured to:

and controlling the treatment device to provide heat to the vein with the vein vascular tumor, and burning the vein with the vein vascular tumor.

In one possible example, the target position is at an intersection of m venous vessels of the plurality of venous vessels, and the control unit 405 is specifically configured to, in the aspect of controlling the therapy device to perform the operation according to the image data and the position information:

and controlling the treatment device to respectively provide heat for the m vein vessels and burn the m vein vessels.

In one possible example, in the generating 4D imagery data of a plurality of venous vessels of the target site from the scan image, the processing unit 402 is specifically configured to:

obtaining a bitmap BMP data source according to the scanning image;

importing the BMP data source into a preset VRDS medical network model to obtain first medical image data, wherein the first medical image data comprises a 4D vein vessel data set of the vein vessels;

importing the first medical image data into a preset cross blood vessel network model to obtain second medical image data, wherein the second medical image data comprises a smooth muscle data set and an elastic fiber data set;

executing a second preset process on the second medical image data to obtain target 4D medical image data, wherein the target 4D medical image data comprises: a 4D venous vessel data set, the smooth muscle data set, and the elastic fiber data set of the plurality of venous vessels.

It is to be understood that the functions of the program modules of the vein tumor image processing apparatus according to this embodiment may be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process may refer to the related description of the foregoing method embodiment, which is not described herein again.

The present invention also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the vein tumor image processing methods as described in the above method embodiments.

Embodiments of the present application further provide a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps of any one of the methods for processing images of a venous blood vessel tumor as described in the above method embodiments.

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

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

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

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

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

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

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash disk, ROM, RAM, magnetic or optical disk, and the like.

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

Claims

A method for processing images of a venous vascular tumor, the method being applied to a medical imaging device in a venous vascular tumor processing system, the venous vascular tumor processing system comprising the medical imaging device and a treatment device, the medical imaging device being communicatively connected to the treatment device, the method comprising:

acquiring a scanning image of a target part of a user with a vein tumor by a VRDS4D imaging technology;

generating 4D image data of a plurality of vein vessels of the target part according to the scanning image;

determining a target location of the venous vessel tumor in the plurality of venous vessels from the 4D image data of the plurality of venous vessels;

outputting the 4D image data and the target position;

and controlling the treatment device to perform an operation according to the 4D image data and the target position.
The method of claim 1, the determining a target location of the venous-vessel tumor in the plurality of venous vessels from 4D image data of the plurality of venous vessels, comprising:

determining smooth muscle image data and elastic fiber image data corresponding to the vein vessels according to the 4D image data of the vein vessels;

determining abnormal data corresponding to the plurality of vein vessels according to the smooth muscle image data and the elastic fiber image data;

determining a target location of the venous vessel tumor in the plurality of venous vessels based on the anomaly data.
The method of claim 2, wherein determining smooth muscle image data and elastic fiber image data corresponding to the plurality of venous vessels from the 4D image data of the plurality of venous vessels comprises:

determining a space coordinate of each 4D image data in the 4D image data of the vein vessels according to the 4D image data of the vein vessels to obtain a plurality of space coordinates;

determining a smooth muscle space coordinate set and an elastic fiber space coordinate set corresponding to the vein vessels according to the space coordinates;

and determining the smooth muscle image data and the elastic fiber data corresponding to the plurality of vein vessels according to the smooth muscle space coordinate set and the elastic fiber space coordinate set.
The method of claim 2, wherein determining abnormal data corresponding to the plurality of venous vessels from the smooth muscle image data and the elastic fiber image data comprises:

generating feature data of smooth muscles and feature data of elastic fibers corresponding to the vein vessels according to the smooth muscle image data and the elastic fiber data corresponding to the vein vessels, wherein the feature data are used for reflecting spatial positions and thicknesses;

comparing the characteristic data of the smooth muscle and the characteristic data of the elastic fiber corresponding to the vein vessels with a preset normal data set corresponding to the vein vessels, wherein the preset normal characteristic data set of the vein vessels comprises standard characteristic data of the smooth muscle and standard characteristic data of the elastic fiber;

and if not, determining that the corresponding characteristic data are abnormal data corresponding to the vein vessels.
The method of claim 4, wherein said determining a target location of said venous vessel tumor in said plurality of venous vessels based on said anomaly data comprises:

determining spatial position data corresponding to the abnormal data;

determining spatial position data corresponding to the vein tumor according to the spatial position data corresponding to the abnormal data;

and positioning the vein tumor according to the space position data corresponding to the vein tumor to obtain the target position of the vein tumor in the vein vessels.
The method of any one of claims 1-5, wherein the target location is included on one of the plurality of venous vessels, or where m venous vessels of the plurality of venous vessels intersect, m being a positive integer greater than 1.
The method of claim 6, wherein the target location is on one of the plurality of venous vessels, and wherein controlling the treatment device to perform the procedure based on the 4D image data and the target location comprises:

and controlling the treatment device to provide heat to the vein with the vein vascular tumor, and burning the vein with the vein vascular tumor.
The method of claim 6, wherein the target location is at an intersection of m venous vessels of the plurality of venous vessels, and wherein controlling the treatment device to perform the procedure based on the 4D image data and the target location comprises:

and controlling the treatment device to respectively provide heat for the m vein vessels and burn the m vein vessels.
The method of claim 1, wherein the generating 4D imagery data of a plurality of venous vessels of the target site from the scan image comprises:

obtaining a bitmap BMP data source according to the scanning image;

importing the BMP data source into a preset VRDS medical network model to obtain first medical image data, wherein the first medical image data comprises a 4D vein vessel data set of the vein vessels;

importing the first medical image data into a preset cross blood vessel network model to obtain second medical image data, wherein the second medical image data comprises a smooth muscle data set and an elastic fiber data set;

executing a second preset process on the second medical image data to obtain target 4D medical image data, wherein the target 4D medical image data comprises: a 4D venous vessel data set, the smooth muscle data set, and the elastic fiber data set of the plurality of venous vessels.
A vein tumor image processing device is applied to a medical imaging device in a vein tumor processing system, the vein tumor processing system comprises the medical imaging device and a treatment device, the medical imaging device is in communication connection with the treatment device, the device comprises an acquisition unit, a processing unit, a determination unit, an output unit and a control unit, wherein,

the acquisition unit is used for acquiring a scanning image of a target part of a user with a vein tumor by a VRDS4D imaging technology;

the processing unit is used for generating 4D image data of a plurality of vein blood vessels of the target part according to the scanning image;

the determining unit is used for determining the target positions of the vein tumors in the vein vessels according to the 4D image data of the vein vessels;

the output unit is used for outputting the 4D image data and the target position;

the control unit is used for controlling the treatment device to perform an operation according to the 4D image data and the target position.
The apparatus as defined in claim 10, the determination unit being specifically configured to, in respect of the determination of the target location of the venous-vessel tumor in the plurality of venous vessels from the 4D image data of the plurality of venous vessels:

determining smooth muscle image data and elastic fiber image data corresponding to the vein vessels according to the 4D image data of the vein vessels;

determining abnormal data corresponding to the plurality of vein vessels according to the smooth muscle image data and the elastic fiber image data;

determining a target location of the venous vessel tumor in the plurality of venous vessels based on the anomaly data.
The apparatus according to claim 11, wherein, in said determining smooth muscle image data and elastic fiber image data corresponding to the plurality of vein vessels from the 4D image data of the plurality of vein vessels, the determining unit is specifically configured to:

determining a space coordinate of each 4D image data in the 4D image data of the vein vessels according to the 4D image data of the vein vessels to obtain a plurality of space coordinates;

determining a smooth muscle space coordinate set and an elastic fiber space coordinate set corresponding to the vein vessels according to the space coordinates;

and determining the smooth muscle image data and the elastic fiber data corresponding to the plurality of vein vessels according to the smooth muscle space coordinate set and the elastic fiber space coordinate set.
The apparatus according to claim 11, wherein, in said determining abnormal data corresponding to the plurality of venous vessels from the smooth muscle image data and the elastic fiber image data, the determining unit is specifically configured to:

generating feature data of smooth muscles and feature data of elastic fibers corresponding to the vein vessels according to the smooth muscle image data and the elastic fiber data corresponding to the vein vessels, wherein the feature data are used for reflecting spatial positions and thicknesses;

comparing the characteristic data of the smooth muscle and the characteristic data of the elastic fiber corresponding to the vein vessels with a preset normal data set corresponding to the vein vessels, wherein the preset normal characteristic data set of the vein vessels comprises standard characteristic data of the smooth muscle and standard characteristic data of the elastic fiber;

and if not, determining that the corresponding characteristic data are abnormal data corresponding to the vein vessels.
The apparatus according to claim 13, wherein in said determining a target location of the venous vessel tumor in the plurality of venous vessels from the anomaly data, the determining unit is specifically configured to:

determining spatial position data corresponding to the abnormal data;

determining spatial position data corresponding to the vein tumor according to the spatial position data corresponding to the abnormal data;

and positioning the vein tumor according to the space position data corresponding to the vein tumor to obtain the target position of the vein tumor in the vein vessels.
The apparatus of any one of claims 10-14, wherein the target location is included on one of the plurality of venous vessels, or where m venous vessels of the plurality of venous vessels intersect, m being a positive integer greater than 1.
The device of claim 15, wherein the target location is on one of the plurality of venous vessels, and the control unit is specifically configured to, in the aspect of controlling the treatment device to perform the procedure based on the 4D image data and the target location:

and controlling the treatment device to provide heat to the vein with the vein vascular tumor, and burning the vein with the vein vascular tumor.
The device of claim 16, wherein the target location is at an intersection of m venous vessels of the plurality of venous vessels, the control unit being configured to, in the aspect of the controlling the treatment device to perform the procedure based on the 4D image data and the target location:

and controlling the treatment device to respectively provide heat for the m vein vessels and burn the m vein vessels.
The apparatus according to claim 10, wherein the processing unit, in the generating 4D image data of a plurality of venous vessels of the target site from the scan image, is specifically configured to:

obtaining a bitmap BMP data source according to the scanning image;

importing the BMP data source into a preset VRDS medical network model to obtain first medical image data, wherein the first medical image data comprises a 4D vein vessel data set of the vein vessels;

importing the first medical image data into a preset cross blood vessel network model to obtain second medical image data, wherein the second medical image data comprises a smooth muscle data set and an elastic fiber data set;

executing a second preset process on the second medical image data to obtain target 4D medical image data, wherein the target 4D medical image data comprises: a 4D venous vessel data set, the smooth muscle data set, and the elastic fiber data set of the plurality of venous vessels.
A medical imaging apparatus comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-9.
A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-9.
A computer program product, characterized in that the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform the method according to any one of claims 1-9.