CN117814727B - Soft mirror imaging method, system, equipment and storage medium - Google Patents

Soft mirror imaging method, system, equipment and storage medium Download PDF

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CN117814727B
CN117814727B CN202410048513.3A CN202410048513A CN117814727B CN 117814727 B CN117814727 B CN 117814727B CN 202410048513 A CN202410048513 A CN 202410048513A CN 117814727 B CN117814727 B CN 117814727B
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blood flow
flow distribution
region
distribution image
blood
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CN117814727A (en
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曾明
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Tongji Medical College of Huazhong University of Science and Technology
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Tongji Medical College of Huazhong University of Science and Technology
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Abstract

The application relates to a soft mirror imaging method, a system, equipment and a storage medium, which irradiate a target part by generating a laser beam; receiving light reflected from the target site by the laser beam and converting the reflected light signal into an electrical signal to form an initial blood flow distribution image within the target site; acquiring blood flow parameters at the junction of a fuzzy region and a clear region in an initial blood flow distribution image, and correcting based on the blood flow parameters to generate blood flow distribution in the fuzzy region; and reconstructing and obtaining a target blood flow distribution image based on the blood flow distribution in the fuzzy area. And correcting the blood flow parameters at the junction of the fuzzy region and the clear region in the initial blood flow distribution image to obtain blood flow distribution in the fuzzy region, and reconstructing an image based on the obtained blood flow distribution in the fuzzy region to obtain a clear target blood flow distribution image, so that the blood vessel image of the target part can be clearly displayed, and the accuracy of disease diagnosis is effectively improved.

Description

Soft mirror imaging method, system, equipment and storage medium
Technical Field
The present invention relates to the field of soft mirror imaging technologies, and in particular, to a soft mirror imaging method, system, device, and storage medium.
Background
The soft endoscope is generally a soft endoscope, the endoscope body of the soft endoscope is longer and has certain flexibility and is generally bendable, so that the soft endoscope can enter the body through a natural cavity of a human body, and the soft endoscope also has a good optical effect, so that the soft endoscope can be helpful for clearly observing the surface condition of a target part (such as tissues or organs) and the like, thereby assisting a doctor in diagnosing diseases.
In the diagnosis of some diseases, only the surface condition of the target site is observed, which is insufficient to effectively assist the doctor in diagnosing the disease, and therefore, it is necessary to image the blood vessel of the target site to further improve the accuracy of the doctor in diagnosing the disease.
However, in the related art, some blurred regions often appear in the angiographic distribution image, and these blurred regions may reduce the accuracy of the diagnosis of the disease by the doctor.
Disclosure of Invention
The invention aims to solve the technical problems of the prior art and provides a soft mirror imaging method, a system, equipment and a storage medium, wherein the soft mirror imaging method can clearly display a blood vessel image of a target part, so that the accuracy of a doctor on disease diagnosis is effectively improved.
In a first aspect, embodiments of the present disclosure provide a soft-mirror imaging method, including:
Generating a laser beam to irradiate a target part;
receiving light reflected from the target site by the laser beam and converting the reflected light signal into an electrical signal to form an initial blood flow distribution image within the target site;
acquiring blood flow parameters at the junction of a fuzzy region and a clear region in an initial blood flow distribution image, and correcting based on the blood flow parameters to generate blood flow distribution in the fuzzy region;
and reconstructing and obtaining a target blood flow distribution image based on the blood flow distribution in the fuzzy area.
According to some optional embodiments of the present disclosure, obtaining a blood flow parameter at an intersection of a blurred region and a clear region in an initial blood flow distribution image, and correcting based on the blood flow parameter, to generate a blood flow distribution in the blurred region, includes:
Acquiring inflow blood flow parameters and outflow blood flow parameters at the junction of a fuzzy region and a clear region in an initial blood flow distribution image;
the correction is performed based on the inflow blood flow parameter and the outflow blood flow parameter, and a blood flow distribution in the blurred region is generated.
According to some alternative embodiments of the present disclosure, the blood flow parameter comprises at least one of a vessel diameter, a flow rate, a pressure, a blood density, and a dynamic viscosity coefficient of the blood flow.
According to some optional embodiments of the present disclosure, correcting based on the inflow blood flow parameter and the outflow blood flow parameter, generating a blood flow distribution within the blurred region includes:
based on the inflow and outflow blood flow parameters, utilizing Calculating to obtain the length of each blood vessel in the fuzzy region, wherein L is represented by the length of the blood vessel, Q is represented by the flow rate flowing into the blood vessel, mu is represented by a hemodynamic viscosity coefficient, A is represented by the sectional area of the blood vessel, v is represented by the flow velocity of blood flow, ρ is represented by the density of blood, and DeltaP is represented by the pressure difference between an inflow end and an outflow end;
based on the length of each blood vessel in the blurred region, a blood flow distribution in the blurred region is generated.
According to some optional embodiments of the present disclosure, reconstructing a target blood flow distribution image based on a blood flow distribution in a blurred region includes:
and projecting the blood flow distribution in the fuzzy area to an initial blood flow distribution image, and reconstructing to obtain a target blood flow distribution image.
In a second aspect, embodiments of the present disclosure provide a soft mirror imaging system comprising:
The soft mirror body is provided with a light beam transmission channel;
a light source disposed within the beam transmission channel, the light source configured to generate a laser beam to illuminate the target site;
An imaging unit coupled to the light source, the imaging unit configured to receive light reflected from the target site by the laser beam via the beam transmission channel to form an initial blood flow distribution image within the target site;
the imaging blur correction unit is connected with the imaging unit and is configured to acquire blood flow parameters at the junction of the blurred region and the clear region in the initial blood flow distribution image, correct the blood flow parameters and generate blood flow distribution in the blurred region;
And the reconstruction unit is configured to reconstruct and obtain a target blood flow distribution image based on the blood flow distribution in the fuzzy region.
According to some optional embodiments of the present specification, the imaging blur correction unit includes:
The acquisition module is configured to acquire inflow blood flow parameters and outflow blood flow parameters at the junction of the fuzzy area and the clear area in the blood flow distribution image;
and a correction module configured to perform correction based on the inflow blood flow parameter and the outflow blood flow parameter, and generate a blood flow distribution in the blurred region.
According to some alternative embodiments of the present disclosure, the soft scope body comprises at least one of a nasopharyngoscope, laryngoscope, nasosinusicope, otoscope, thyroscopy, bronchoscope, gastroscope, enteroscope, ureteroscope, cystoscope, oviscopy, resectoscope, percutaneous nephroscope, foramen centrum scope, discoscope, esophagoscope, proctoscope arthroscope, esophagoscope, nasopharyngoscope, bronchoscope.
In a third aspect, embodiments of the present specification provide a computer device comprising:
A memory configured to store computer instructions executable on the processor; and
A processor configured to image based on the soft mirror imaging method of the first aspect of the present specification when executing computer instructions.
In a fourth aspect, embodiments of the present specification provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the soft mirror imaging method of the first aspect of the present specification.
The present specification provides a soft mirror imaging method, system, apparatus, and storage medium for irradiating a target site by generating a laser beam; receiving light reflected from the target site by the laser beam and converting the reflected light signal into an electrical signal to form an initial blood flow distribution image within the target site; acquiring blood flow parameters at the junction of a fuzzy region and a clear region in an initial blood flow distribution image, and correcting based on the blood flow parameters to generate blood flow distribution in the fuzzy region; and reconstructing and obtaining a target blood flow distribution image based on the blood flow distribution in the fuzzy area. From the above, it can be seen that, according to the blood flow parameters at the boundary between the blurred region and the clear region in the initial blood flow distribution image, the blood flow distribution in the blurred region can be obtained, and the image is reconstructed based on the obtained blood flow distribution in the blurred region, so as to obtain a clear target blood flow distribution image, so that the blood vessel image of the target part can be clearly displayed, and the accuracy of the doctor in diagnosing the disease can be effectively improved.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the specification. Also, like reference numerals are used to designate like parts throughout the accompanying drawings. In the drawings:
FIG. 1 is a flow chart of a soft mirror imaging method provided in some embodiments of the present disclosure;
FIG. 2 is a flow chart of a soft mirror imaging method provided in some embodiments of the present disclosure;
FIG. 3 is a flow chart of a soft mirror imaging method provided in some embodiments of the present disclosure;
FIG. 4 is a flow chart of a soft mirror imaging method provided in some embodiments of the present disclosure;
fig. 5 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The principles and features of the present invention are described below with reference to the drawings, the examples are illustrated for the purpose of illustrating the invention and are not to be construed as limiting the scope of the invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this specification belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure; the terms "comprising" and "having" and any variations thereof in the description and claims of the present specification and the foregoing description of the drawings are intended to cover non-exclusive inclusions.
In the description of the embodiments of the present specification, the technical terms "first," "second," etc. are used merely to distinguish between different objects and should not be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated, a particular order or a primary or secondary relationship. In the description of the embodiments of the present specification, the meaning of "plurality" is two or more unless specifically defined otherwise.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present description. The appearances of such phrases 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. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
In the description of the embodiments of the present specification, the term "and/or" is merely an association relationship describing an association object, and means that there may be three relationships, for example, a and/or B, and may mean: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
In the description of the embodiments of the present specification, the term "plurality" refers to two or more (including two).
In the related art, a laser speckle technique is generally used for subcutaneous blood flow distribution images, and when a tissue or an organ is irradiated by a laser beam, speckles formed by random interference are generated on a scattering medium (such as flowing blood cells), and the blood flow distribution images can be generated through analysis of the speckles, wherein the blood flow distribution images mainly comprise dynamic speckles. However, before the laser beam is incident from the tissue surface to reach the vascular layer, static speckles are generated by passing through turbid tissues, and the static speckles can mask dynamic speckle signals generated by target blood vessels, so that a fuzzy region appears in a formed blood flow distribution image, and pathological analysis of a target part by a doctor is reduced, so that the accuracy of disease diagnosis is reduced.
In view of this, the present specification provides a soft-mirror imaging method, system, apparatus, and storage medium, which can clearly display a blood vessel image of a target site, thereby effectively improving the accuracy of disease diagnosis by a doctor.
In a first aspect, referring to fig. 1, an embodiment of the present disclosure provides a soft mirror imaging method, including:
S100, generating a laser beam to irradiate a target part;
s200, receiving light reflected by the laser beam from the target site, and converting the reflected light signal into an electric signal to form an initial blood flow distribution image in the target site;
s300, obtaining blood flow parameters of the junction of the fuzzy region and the clear region in the initial blood flow distribution image, and correcting based on the blood flow parameters to generate blood flow distribution in the fuzzy region;
s400, reconstructing and obtaining a target blood flow distribution image based on the blood flow distribution in the fuzzy area.
In embodiments of the present disclosure, the target site may be, but is not limited to, tissues and organs such as skin, muscle, bone, teeth, brain, liver, kidney, gastrointestinal tract (mucosa, serosa), mesentery, and the like.
The soft mirror imaging method provided by the specification can correct the blood flow parameters at the junction of the fuzzy region and the clear region in the initial blood flow distribution image, can obtain the blood flow distribution in the fuzzy region, and reconstruct the image based on the obtained blood flow distribution in the fuzzy region so as to obtain a clear target blood flow distribution image, so that the blood vessel image of the target part can be clearly displayed, and the accuracy of a doctor in diagnosing diseases is effectively improved.
In the above embodiment, the laser beam may be emitted by a laser light source in the near infrared region. Specifically, the laser light source may be a laser or a laser diode. By way of example, the laser source may be a laser capable of generating linearly polarized light having a wavelength in the range of 800nm to 900nm and a power greater than or equal to 150mW, which may facilitate laser light transmission through the skin tissue to provide more clear blood flow imaging and hence clear vascular imaging.
In step S200, the laser beam irradiates the target site, and since the target site contains a scattering medium (e.g., blood cells flowing in a blood vessel), part of the laser beam can be reflected back, and by receiving the reflected light, the reflected light signals are converted into electrical signals, and the electrical signals are subjected to processing such as enhancement, filtering, etc., to form an initial blood flow distribution image. Because the thickness and distribution of each region of the target part are different, the reflected light intensity is naturally different, so that bright regions and dark regions can be formed, and the formed blood flow distribution image also contains clear regions and fuzzy regions.
In order to obtain the blood flow distribution in the blurred region to further improve the definition of the blood flow distribution image, the step S300 and the step S400 are performed to obtain the blood flow parameters at the junction of the blurred region and the clear region in the initial blood flow distribution image, and correct the blood flow parameters to generate the blood flow distribution in the blurred region; and reconstructing and obtaining a target blood flow distribution image based on the blood flow distribution in the fuzzy area. The blood vessel distribution of the target part can be clearly seen from the target blood flow distribution image, and indexes such as blood flow parameters and the like are acquired, so that the accuracy of disease diagnosis is further improved.
Referring to fig. 2, in some alternative embodiments of the present disclosure, a blood flow parameter at an intersection of a blurred region and a clear region in an initial blood flow distribution image is obtained, and correction is performed based on the blood flow parameter to generate a blood flow distribution in the blurred region, that is, step S300 includes:
S310, acquiring inflow blood flow parameters and outflow blood flow parameters of the junction of a fuzzy region and a clear region in an initial blood flow distribution image;
s320, correcting based on the inflow blood flow parameter and the outflow blood flow parameter to generate blood flow distribution in the fuzzy area.
In the above embodiment, by acquiring the inflow blood flow parameter and the outflow blood flow parameter at the boundary between the blurred region and the clear region in the initial blood flow distribution image, the blood flow distribution in the blurred region can be obtained, and further the blood vessel imaging in the blurred region can be obtained, thereby being beneficial to reconstructing the blood vessel distribution in the blurred region.
In some alternative embodiments of the present description, the blood flow parameter includes at least one of a vessel diameter, a flow rate, a pressure, a blood density, and a dynamic viscosity coefficient of the blood flow.
In the embodiment of the present specification, the vessel diameter, blood flow velocity, flow rate and pressure of the blood vessel can be obtained through analysis and processing of the image, and the blood density and dynamic viscosity coefficient can be measured by conventional methods and instruments.
Exemplary, the blood density test method is as follows: the method comprises the steps of respectively filling a plurality of test tubes with copper sulfate solutions with known densities similar to the density of human blood and different densities, respectively dripping a drop of blood into each test tube, and judging the density of the blood to be equal to the density of the copper sulfate solution in the test tube by an analyst as long as the analyst sees which tube is suspended in the blood: ρ Blood vessel =ρ Solution .
Illustratively, the kinetic viscosity coefficient of blood may be measured by capillary viscosity, as follows: according to poiseuille's law, the following formula will be followed when a liquid flows through a capillary: q=4pi_rΔp/8ηLV, where the flow q is equal to V/t, V is the volume flowing through the capillary, t is the flow time, where pi, r, Δ P, L, V are all known numbers, so the kinetic viscosity coefficient η of blood can be calculated by measuring the time t of the liquid flowing through the capillary.
In the above embodiment, the blood flow parameters include the above microcirculation parameters, and on the one hand, the structure, the microcirculation function and the metabolic activity of the microcirculation blood vessel can be enhanced by the microcirculation parameters, so as to help to understand the law of microcirculation change and the pathological mechanism thereof in the basic pathological processes of inflammation, edema, hemorrhage, allergy, shock, tumor, burn, frostbite, radiation injury and the like; on the other hand, the construction of vascular structures and their distribution in the fuzzy region can be facilitated by the above-described microcirculation parameters.
Referring to fig. 3, in some alternative embodiments of the present disclosure, the correction is performed based on the inflow blood flow parameter and the outflow blood flow parameter to generate the blood flow distribution in the blurred region, that is, the step S320 includes:
S321, based on the inflow blood flow parameter and the outflow blood flow parameter, utilizing Calculating to obtain the length of each blood vessel in the fuzzy region, wherein L is represented by the length of the blood vessel, Q is represented by the flow rate flowing into the blood vessel, mu is represented by a hemodynamic viscosity coefficient, A is represented by the sectional area of the blood vessel, v is represented by the flow velocity of blood flow, ρ is represented by the density of blood, and DeltaP is represented by the pressure difference between an inflow end and an outflow end;
s322, generating blood flow distribution in the fuzzy area based on the length of each blood vessel in the fuzzy area.
In the above embodiment, the length of each branch vessel in the blurred region can be accurately obtained by the blood flow parameters and the above formula, and the blood flow distribution in the blurred region can be constructed based on these branch vessels.
Referring to fig. 4, in some alternative embodiments of the present disclosure, the reconstructing obtains the target blood flow distribution image based on the blood flow distribution in the blurred region, that is, the step S400 includes:
s410, projecting the blood flow distribution in the fuzzy area to an initial blood flow distribution image, and reconstructing to obtain a target blood flow distribution image.
In a second aspect, embodiments of the present disclosure provide a soft mirror imaging system comprising:
The soft mirror body is provided with a light beam transmission channel;
a light source disposed in the beam transmission channel, the light source configured to generate a laser beam to irradiate the target portion
An imaging unit coupled to the light source, the imaging unit configured to receive light reflected from the target site by the laser beam via the beam transmission channel to form an initial blood flow distribution image within the target site;
the imaging blur correction unit is connected with the imaging unit and is configured to acquire blood flow parameters at the junction of the blurred region and the clear region in the initial blood flow distribution image, correct the blood flow parameters and generate blood flow distribution in the blurred region;
And the reconstruction unit is configured to reconstruct and obtain a target blood flow distribution image based on the blood flow distribution in the fuzzy region.
In the embodiments of the present disclosure, the soft endoscope body is generally a soft endoscope, and the endoscope body is long and has a certain flexibility, and is generally bendable, so that the soft endoscope can enter the body through a natural cavity of a human body, and the soft endoscope also has a good optical effect.
In some alternative embodiments of the present description, the soft scope body comprises at least one of a nasopharyngoscope, laryngoscope, sinus mirror, otoscope, thyroscopy, bronchoscope, gastroscope, enteroscope, ureteroscope, cystoscope, falloscope, resectoscope, percutaneous nephroscope, foramen centrum scope, discoscope, esophagoscope, proctoscope arthroscope, esophagoscope, nasopharyngoscope, bronchoscope.
In the embodiment of the present specification, the light source may be a laser or a laser diode. By way of example, the light source may be a laser capable of generating linearly polarized light having a wavelength in the range 800nm to 900nm and a power greater than or equal to 150mW, which may facilitate laser light transmission through the skin tissue to provide clearer imaging of blood flow and hence clear imaging of blood vessels.
In some embodiments of the present description, the imaging unit comprises an image sensor, which may be, for example, a charge coupled device sensor or a CMOS sensor, capable of receiving the optical signal and converting the optical signal into an electrical signal to form image data, which is transmitted via a cable to a controller for processing to obtain an image, which is then transmitted to a display unit. In addition, the imaging unit further includes other conventional components, such as an objective lens, a focusing lens, etc., which are not described in detail herein.
In some optional embodiments of the present specification, the imaging blur correction unit includes:
The acquisition module is configured to acquire inflow blood flow parameters and outflow blood flow parameters at the junction of the fuzzy area and the clear area in the blood flow distribution image;
and a correction module configured to perform correction based on the inflow blood flow parameter and the outflow blood flow parameter, and generate a blood flow distribution in the blurred region.
In some embodiments of the present specification, the imaging blur correction unit may be specifically configured to utilize the inflow blood flow parameter and the outflow blood flow parameter based on the inflow blood flow parameter and the outflow blood flow parameter, utilizeCalculating to obtain the length of each blood vessel in the fuzzy region, wherein L is represented by the length of the blood vessel, Q is represented by the flow rate flowing into the blood vessel, mu is represented by a hemodynamic viscosity coefficient, A is represented by the sectional area of the blood vessel, v is represented by the flow velocity of blood flow, ρ is represented by the density of blood, and DeltaP is represented by the pressure difference between an inflow end and an outflow end; based on the length of each blood vessel in the blurred region, a blood flow distribution in the blurred region is generated.
In some optional embodiments of the present specification, the reconstruction unit may be configured to project the blood flow distribution in the blurred region to an initial blood flow distribution image, and reconstruct a target blood flow distribution image.
In order to solve the above technical problems, the embodiment of the present application further provides a third aspect of the present application. Referring specifically to fig. 5, fig. 5 is a basic structural block diagram of a computer device according to the present embodiment.
The computer device 5 comprises a memory 51, a processor 52, a network interface 53 which are communicatively connected to each other via a system bus. It should be noted that only the computer device 5 with components 51-53 is shown in the figures, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may be implemented instead. It will be appreciated by those skilled in the art that the computer device herein is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and its hardware includes, but is not limited to, a microprocessor, an Application SPECIFIC INTEGRATED Circuit (ASIC), a Programmable gate array (Field-Programmable GATE ARRAY, FPGA), a digital Processor (DIGITAL SIGNAL Processor, DSP), an embedded device, and the like.
The computer equipment can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing equipment. The computer equipment can perform man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch pad or voice control equipment and the like.
The memory 51 includes at least one type of readable storage medium including flash memory, hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), random Access Memory (RAM), static Random Access Memory (SRAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), programmable Read Only Memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the storage 51 may be an internal storage unit of the computer device 5, such as a hard disk or a memory of the computer device 5. In other embodiments, the memory 51 may also be an external storage device of the computer device 5, such as a plug-in hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD) or the like, which are provided on the computer device 5. Of course, the memory 51 may also comprise both an internal memory unit of the computer device 5 and an external memory device. In this embodiment, the memory 51 is typically used to store an operating system and various types of application software installed on the computer device 5, such as program codes of a multi-directional depth estimation method. Further, the memory 51 may be used to temporarily store various types of data that have been output or are to be output.
The processor 52 may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 52 is typically used to control the overall operation of the computer device 5. In this embodiment, the processor 52 is configured to execute the program code stored in the memory 51 or process data, such as the program code for executing the multi-directional depth estimation method.
The network interface 53 may comprise a wireless network interface or a wired network interface, which network interface 53 is typically used to establish communication connections between the computer device 5 and other electronic devices.
In a fourth aspect, embodiments of the present specification provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the soft mirror imaging method of the first aspect of the present specification.
Embodiments of the subject matter and the functional operations described in this specification can be implemented in: digital electronic circuitry, tangibly embodied computer software or firmware, computer hardware including the structures disclosed in this specification and structural equivalents thereof, or a combination of one or more of them. Embodiments of the subject matter described in this specification can be implemented as one or more computer programs, i.e., one or more modules of computer program instructions encoded on a tangible, non-transitory program carrier for execution by, or to control the operation of, data processing apparatus. Alternatively or additionally, the program instructions may be encoded on a manually-generated propagated signal, e.g., a machine-generated electrical, optical, or electromagnetic signal, that is generated to encode and transmit information to suitable receiver apparatus for execution by data processing apparatus. The computer storage medium may be a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or a combination of one or more of them.
The processes and logic flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform corresponding functions by operating on input data and generating output. The processes and logic flows can also be performed by, and apparatus can also be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application-specific integrated circuit).
Computers suitable for executing computer programs include, for example, general purpose and/or special purpose microprocessors, or any other type of central processing unit. Typically, the central processing unit will receive instructions and data from a read only memory and/or a random access memory. The essential elements of a computer include a central processing unit for carrying out or executing instructions and one or more memory devices for storing instructions and data. Typically, a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto-optical disks, or optical disks, etc. However, a computer does not have to have such a device. Furthermore, the computer may be embedded in another device, such as a mobile phone, a Personal Digital Assistant (PDA), a mobile audio or video player, a game console, a Global Positioning System (GPS) receiver, or a portable storage device such as a Universal Serial Bus (USB) flash drive, to name a few.
Computer readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media and memory devices including, for example, semiconductor memory devices (e.g., EPROM, EEPROM, and flash memory devices), magnetic disks (e.g., internal hard disk or removable disks), magneto-optical disks, and CD-ROM and DVD-ROM disks. The processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.
While this specification contains many specific implementation details, these should not be construed as limitations on the scope of any invention or of what may be claimed, but rather as descriptions of features of specific embodiments of particular inventions. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. On the other hand, the various features described in the individual embodiments may also be implemented separately in the various embodiments or in any suitable subcombination. Furthermore, although features may be acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a subcombination or variation of a subcombination.
Similarly, although operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In some cases, multitasking and parallel processing may be advantageous. Moreover, the separation of various system modules and components in the embodiments described above should not be understood as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.
Thus, particular embodiments of the subject matter have been described. Other embodiments are within the scope of the following claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve desirable results. Furthermore, the processes depicted in the accompanying drawings are not necessarily required to be in the particular order shown, or sequential order, to achieve desirable results. In some implementations, multitasking and parallel processing may be advantageous.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present specification, and are not limited thereto. Although the present specification has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments may be modified or some or all of the technical features may be replaced with equivalents. These modifications and substitutions do not depart from the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present specification, and it should be finally described that: the above embodiments are only for illustrating the technical solution of the present specification, and are not limited thereto. Although the present specification has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments may be modified or some or all of the technical features may be replaced with equivalents. Such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present specification.

Claims (7)

1.A soft mirror imaging method, comprising:
Generating a laser beam to irradiate a target part;
Receiving light reflected from the target site by the laser beam and converting the reflected light signal into an electrical signal to form an initial blood flow distribution image within the target site;
Acquiring blood flow parameters of the junction of a fuzzy region and a clear region in the initial blood flow distribution image, correcting the blood flow parameters, and generating blood flow distribution in the fuzzy region;
Reconstructing and obtaining a target blood flow distribution image based on the blood flow distribution in the fuzzy area;
The obtaining the blood flow parameters of the junction of the blurred region and the clear region in the initial blood flow distribution image, and correcting based on the blood flow parameters, and generating the blood flow distribution in the blurred region comprises the following steps:
Acquiring inflow blood flow parameters and outflow blood flow parameters at the junction of a fuzzy region and a clear region in the initial blood flow distribution image;
Correcting based on the inflow blood flow parameter and the outflow blood flow parameter to generate a blood flow distribution in the fuzzy region;
The blood flow parameters comprise at least one of the vessel diameter, the flow rate, the pressure, the blood density and the dynamic viscosity coefficient of blood flow;
the correcting based on the inflow blood flow parameter and the outflow blood flow parameter, generating a blood flow distribution in the blurred region, includes:
based on the inflow blood flow parameter and the outflow blood flow parameter, utilizing Calculating to obtain the length of each blood vessel in the fuzzy region, wherein L is represented by the length of the blood vessel, Q is represented by the flow rate flowing into the blood vessel, [ mu ] is represented by a hemodynamic viscosity coefficient, A is represented by the sectional area of the blood vessel, v is represented by the flow velocity of blood flow, ρ is represented by the density of blood, and DeltaP is represented by the pressure difference between an inflow end and an outflow end;
based on the length of each blood vessel in the blurred region, a blood flow distribution in the blurred region is generated.
2. The soft-mirror imaging method according to claim 1, wherein reconstructing a target blood flow distribution image based on the blood flow distribution in the blurred region comprises:
And projecting the blood flow distribution in the fuzzy region to the initial blood flow distribution image, and reconstructing to obtain a target blood flow distribution image.
3. A soft-mirror imaging system employing the soft-mirror imaging method of any one of claims 1-2, comprising:
The soft mirror body is provided with a light beam transmission channel;
a light source disposed within the beam transmission channel, the light source configured to generate a laser beam to irradiate a target site;
an imaging unit coupled to the light source, the imaging unit configured to receive light reflected from the target site by the laser beam via the beam transmission channel and to convert the reflected light signal into an electrical signal to form an initial blood flow distribution image within the target site;
An imaging blur correction unit coupled to the imaging unit, the imaging blur correction unit configured to obtain a blood flow parameter at an intersection of a blurred region and a clear region in the initial blood flow distribution image, and to correct based on the blood flow parameter, to generate a blood flow distribution in the blurred region;
And a reconstruction unit configured to reconstruct and obtain a target blood flow distribution image based on the blood flow distribution in the blurred region.
4. A soft mirror imaging system according to claim 3, wherein the imaging blur correction unit comprises:
The acquisition module is configured to acquire inflow blood flow parameters and outflow blood flow parameters at the junction of the fuzzy area and the clear area in the blood flow distribution image;
A correction module configured to correct based on the inflow blood flow parameter and the outflow blood flow parameter, generating a blood flow distribution within the blurred region.
5. The soft lens imaging system of claim 3 or 4, wherein the soft lens body comprises at least one of a nasopharyngoscope, laryngoscope, nasoscope, otoscope, thyroscope, bronchoscope, gastroscope, enteroscope, ureteroscope, cystoscope, oviscopy, resectoscope, percutaneous nephroscope, foramen, discoscope, esophagoscope, proctoscope arthroscope, esophagoscope, nasopharyngoscope, bronchoscope.
6. A computer device, comprising: a memory configured to store computer instructions executable on the processor; and a processor configured to image based on the soft mirror imaging method of any one of claims 1 to 2 when executing the computer instructions.
7. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, implements the soft-mirror imaging method as claimed in any one of claims 1 to 2.
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