CN110974295B - Ultrasonic detection method and ultrasonic detection system for realizing information interaction function - Google Patents

Ultrasonic detection method and ultrasonic detection system for realizing information interaction function Download PDF

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CN110974295B
CN110974295B CN201911320812.3A CN201911320812A CN110974295B CN 110974295 B CN110974295 B CN 110974295B CN 201911320812 A CN201911320812 A CN 201911320812A CN 110974295 B CN110974295 B CN 110974295B
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ultrasonic
detector
patient
information
images
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CN110974295A (en
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朱瑞星
徐小燕
江维娜
马力
周建桥
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Shanghai Shenzhi Information Technology Co ltd
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Shanghai Shenzhi Information Technology Co ltd
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/44—Constructional features of the ultrasonic, sonic or infrasonic diagnostic device
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/44—Constructional features of the ultrasonic, sonic or infrasonic diagnostic device
    • A61B8/4427—Device being portable or laptop-like
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/5215—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
    • A61B8/5223—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data for extracting a diagnostic or physiological parameter from medical diagnostic data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
    • G06K17/0029—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device the arrangement being specially adapted for wireless interrogation of grouped or bundled articles tagged with wireless record carriers
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
    • H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

The invention relates to the technical field of medical detection equipment, in particular to an ultrasonic detection method for realizing information interaction, which specifically comprises the following steps: enabling the palm ultrasonic detector after the identity of the detection personnel is verified; the detection personnel adopts the handheld ultrasonic detector to identify the second NFC label so as to transmit the second associated information into the handheld ultrasonic detector; the handheld ultrasonic detector encrypts the serial number information of the patients in the multiple ultrasonic images and the second associated information and uploads the serial number information to a cloud server; and the cloud server generates and stores a primary processing report according to the screened ultrasonic images and the primary result, updates the number information according to the primary processing report, and returns the updated number information to the handheld ultrasonic detector. Has the advantages that: the patient information is automatically input through the NFC function, so that the time for a detector to input data is saved; meanwhile, the primary processing report generated by the cloud server is stored, so that the primary processing report can be conveniently printed by the patient.

Description

Ultrasonic detection method and ultrasonic detection system for realizing information interaction function
Technical Field
The invention relates to the technical field of medical detection equipment, in particular to an ultrasonic detection method and an ultrasonic detection system for realizing an information interaction function.
Background
With the rapid development of medical technology, ultrasonic detection equipment plays an important role and influence, and can help doctors to effectively learn and understand the health condition of patients, but the traditional ultrasonic detection equipment has a series of problems such as difficult movement, insufficient convenience and the like, and the handheld ultrasonic detector is produced at this moment. With the development of the intelligent technology and the wireless transmission technology, the palm ultrasonic technology is further improved, great convenience is brought to clinicians, and the advantages are more prominent particularly in the process of initial screening and examination and patient shunting.
At present, the communication mode of the handheld ultrasonic detector is to interact with the terminal equipment through the wireless local area network technology. Conventional ultrasonic testing methods generally include: starting up, connecting terminal equipment, logging in by a user, manually establishing a new case, diagnosing, generating and printing a report. In the process, doctors need to manually input relevant information of patients, such as names, sexes, information of first and second visits, historical preliminary treatment reports and the like of the patients, and some hospitals even need to be equipped with input specialists for the doctors, so that a large amount of manpower resources are wasted; meanwhile, because local resources of the terminal device are limited, a large number of ultrasound images and preliminary processing reports generated in the diagnosis process cannot be stored completely.
Disclosure of Invention
Aiming at the problems in the prior art, an ultrasonic detection method and an ultrasonic detection system for realizing the information interaction function are provided.
The specific technical scheme is as follows:
the invention comprises an ultrasonic detection method for realizing an information interaction function, which is applied to an ultrasonic detection system, wherein the ultrasonic detection system comprises a palm ultrasonic detector, and an NFC reader is arranged in the palm ultrasonic detector and is used for identifying a first NFC label of a detector and a second NFC label of a patient; the ultrasonic detection method specifically comprises the following steps:
step S1, enabling the palm ultrasonic detector after the detection personnel carry out identity verification, and reading first associated information in the first NFC label through the palm ultrasonic detector to log in the ultrasonic detection system;
step S2, the inspector uses the ultrasonic handheld detector to identify the second NFC tag, so as to transmit second association information in the second NFC tag to the ultrasonic handheld detector;
step S3, the inspector uses the palm ultrasonic detector to perform ultrasonic examination on the patient to obtain a plurality of ultrasonic images;
step S4, the handheld ultrasonic detector encrypts the serial number information of the patient in the plurality of ultrasonic images and the second associated information, and uploads the serial number information to a cloud server;
step S5, the cloud server screens a plurality of uploaded ultrasonic images, screens the ultrasonic image with the most significant characteristics, and processes the ultrasonic image according to the screened ultrasonic image to obtain a preliminary result;
and step S6, the cloud server generates and stores a preliminary processing report according to the screened ultrasound images and the preliminary results, and meanwhile, the cloud server updates the number information according to the preliminary processing report and returns the updated number information to the handheld ultrasound detector.
Preferably, the method further comprises the following steps:
step S7, after receiving the updated serial number information, the palm ultrasonic detector transmits the updated serial number information to the second NFC tag of the patient through the NFC reader.
Preferably, the step S4 includes:
step S41, scrambling the plurality of ultrasonic images to obtain the scrambled ultrasonic images;
step S42, calculating the total pixel number in each scrambled ultrasonic image, then calculating the probability of each pixel value according to the total pixel number, and forming a mapping chart according to the pixel value and the corresponding probability;
step S43, encrypting the scrambled ultrasound image and the mapping map for the first time to obtain an encrypted ultrasound image;
step S44, encrypting and packaging the ultrasound image, the mapping map and the corresponding private key for the second time;
and step S45, performing third encryption on the packaged data obtained in the step S44 to obtain a signature character string, and uploading the signature character string to the cloud server.
Preferably, the step S5 includes:
step S51, the cloud server decrypts the packaged data uploaded by the palm ultrasonic detector;
step S52, carrying out noise reduction and attenuation compensation processing on the plurality of decrypted ultrasonic images;
step S53, comparing the plurality of ultrasound images processed in step S52 with a standard image to form a quality distribution map, and selecting the ultrasound image with the most significant features according to the quality distribution map, and then obtaining the preliminary result according to the selected ultrasound image.
Preferably, in step S41, scrambling the ultrasound image by using a pseudo random number generated by a two-dimensional Logistic chaotic model, where the mapping form of the two-dimensional Logistic chaotic model is:
Figure BDA0002327090990000031
wherein the content of the first and second substances,
x and y are state variables, and x and y are belonged to (0, 1);
mu 1, mu 2 and gamma are control parameters, and when mu 1, mu 2 belongs to [0.89,0.9] and gamma belongs to (0,1), the two-dimensional Logistic chaotic model is in a chaotic state.
Preferably, in the step S42, the probability of each of the pixels is calculated by the following formula:
Figure BDA0002327090990000041
wherein the content of the first and second substances,
j is used to represent the sequence number of each said pixel;
njfor representing each of said pixel values;
Sjfor representing the probability corresponding to each of the pixels.
Preferably, the association information comprises the number information of the patient and/or the name of the patient and/or the age of the patient and/or the identification of the patient and/or the initial visit information of the patient and/or the historical preliminary treatment report of the patient.
Preferably, the detection personnel performs the identity verification by means of fingerprint identification to start the palm ultrasonic detector.
The invention also comprises an ultrasonic detection system for realizing the information interaction function, which comprises a palm ultrasonic detector, wherein a detector carries out ultrasonic detection on the body of a patient through the palm ultrasonic detector and forms a plurality of ultrasonic images; the detection personnel adopts the ultrasonic detection system to check the patient according to the ultrasonic detection method;
a first NFC tag with a unique identifier is prepared in advance for each detection person, and first associated information of the detection person is stored in the first NFC tag in advance;
preparing a second NFC label with a unique identifier for each patient in advance, wherein second association information of the patient is stored in the second NFC label in advance;
the ultrasonic detection system comprises:
the NFC reader-writer is arranged in the handheld ultrasonic detector, and the handheld ultrasonic detector reads the first associated information and the second associated information through the NFC reader-writer;
the display device is connected with the handheld ultrasonic detector and is used for displaying the ultrasonic image;
the handheld ultrasonic detector further comprises an encryption module, and the handheld ultrasonic detector encrypts the serial number information of the patient in the plurality of ultrasonic images and the second associated information through the encryption module and uploads the encrypted serial number information to the cloud server;
the cloud server screens a plurality of ultrasonic images, screens the ultrasonic images with the most significant characteristics, gives a preliminary result according to the screened ultrasonic images, and generates and stores a preliminary processing report according to the screened ultrasonic images and the preliminary result;
and meanwhile, the cloud server updates the number information according to the primary processing report and returns the updated number information to the handheld ultrasonic detector.
Preferably, the palm ultrasonic detector further comprises a fingerprint identification module, and the inspector performs preliminary identity verification through the fingerprint identification module to start the palm ultrasonic detector.
The technical scheme of the invention has the beneficial effects that: the invention provides an ultrasonic detection method and an ultrasonic detection system for realizing an information interaction function, wherein a detection person can directly read first associated information and second associated information through an NFC reader-writer arranged in a handheld ultrasonic detector so as to transmit the second associated information of a patient to the handheld ultrasonic detector, so that the time for the detection person to input data is saved; meanwhile, after the diagnosis is finished, the cloud server associates the generated preliminary treatment report with the number information of the patient, so that the patient can conveniently extract the preliminary treatment report subsequently, and the information interaction function of the ultrasonic detection system is realized.
Drawings
Embodiments of the present invention will be described more fully with reference to the accompanying drawings. The drawings are, however, to be regarded as illustrative and explanatory only and are not restrictive of the scope of the invention.
FIG. 1 is a schematic flow chart of an ultrasonic testing method in an embodiment of the present invention;
FIG. 2 is a flowchart illustrating step S4 according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating step S5 according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an ultrasonic detection system in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The invention is further described with reference to the following drawings and specific examples, which are not intended to be limiting.
The invention comprises an ultrasonic detection method for realizing information interaction function, which is applied to an ultrasonic detection system, wherein the ultrasonic detection system comprises a palm ultrasonic detector, an NFC reader is arranged in the palm ultrasonic detector and is used for identifying a first NFC label of a detector and a second NFC label of a patient; the ultrasonic detection method specifically comprises the following steps:
step S1, after the identity of the detecting person is verified, the palm ultrasonic detector is started, and then the palm ultrasonic detector reads first associated information in the first NFC label to log in the ultrasonic detection system;
step S2, the inspector adopts the handheld ultrasonic detector to identify the second NFC label so as to transmit second associated information in the second NFC label to the handheld ultrasonic detector;
step S3, the inspector uses the palm ultrasonic detector to perform ultrasonic examination on the patient to obtain a plurality of ultrasonic images;
step S4, the handheld ultrasonic detector encrypts the serial number information of the patients in the multiple ultrasonic images and the second associated information and uploads the serial number information to a cloud server;
step S5, the cloud server screens the uploaded multiple ultrasonic images, screens out the ultrasonic image with the most significant characteristics, and processes the ultrasonic image according to the screened ultrasonic image to obtain a preliminary result;
and step S6, the cloud server generates and stores a primary processing report according to the screened ultrasonic images and the primary result, and meanwhile, the cloud server updates the number information according to the primary processing report and returns the updated number information to the handheld ultrasonic detector.
Specifically, in this embodiment, the detection personnel need to perform body verification to start the handheld ultrasonic detector, the authentication mode can be fingerprint identification or password verification, the embodiment is preferably fingerprint identification, the detection personnel can log in the detection system of the handheld ultrasonic detector by one key of fingerprint identification, and the verification mode is more convenient. After the handheld ultrasonic detector is started, a detection person adopts the handheld ultrasonic detector to identify a first NFC label of the detection person so as to read first associated information, the first associated information can comprise information such as the name, department and job number of the detection person, and the detection person logs in an ultrasonic detection system by inputting the first associated information. After logging in the ultrasonic detection system, a detection person can use the handheld ultrasonic detector to identify a second NFC label carried by a patient to read second associated information, the second associated information comprises information such as the number, name, sex, age, identification, first and second diagnosis information, historical diagnosis reports and the like of the patient, and the handheld ultrasonic detector can quickly record the information into the handheld ultrasonic detector through a built-in NFC reader-writer so as to associate a generated primary processing report with the number information of the patient after diagnosis is finished, so that the number information is updated, and the number information is the user identification (UID for short) of the patient. And finally, identifying the second NFC label of the patient again by adopting the handheld ultrasonic detector, so that the NFC reader-writer and the second NFC label establish two-way communication, sending the updated serial number information to the second NFC label by the NFC reader-writer, so that the patient can print an ultrasonic preliminary processing report on a self-service printer of the hospital by using the second NFC label, and calling the preliminary processing report corresponding to the serial number information from the cloud server by the self-service printer. In the embodiment, the NFC technology is integrated into the ultrasonic detection system, so that information interaction between the ultrasonic detection system and the patient is realized, manual entry of patient information is not needed, a large amount of human resources are saved, and the safety of the information interaction method is high.
Specifically, when a tester tests the body of a patient, the handheld ultrasonic detector generates a large number of ultrasonic images, the memory resource of the handheld ultrasonic detector is limited, and the memory of the handheld ultrasonic detector is usually only hundreds of GB, which is not enough to store all the ultrasonic images. Further, after receiving the encrypted ultrasound image, the cloud server decrypts the ultrasound image, and then screens out the ultrasound image with the most significant features from the multiple ultrasound images, and the cloud server forms a preliminary result according to the ultrasound image, for example, when performing B-ultrasound detection on a kidney, if a calculus is found in a body of a patient, the preliminary result may include the number, size, position of the calculus, whether there is water accumulated in the kidney, and the like. And finally, the cloud server automatically generates and stores a primary processing report according to the screened ultrasonic images and the primary result, updates the number information according to the primary processing report, and returns the updated number information to the handheld ultrasonic detector.
In a preferred embodiment, the ultrasound detecting method further includes step S7, after receiving the updated serial number information, the handheld ultrasound detector transmits the updated serial number information to the second NFC tag of the patient through the NFC reader. Before the diagnosis is finished, the second NFC label of the patient is placed on the handheld ultrasonic detector for identification, so that the handheld ultrasonic detector and the second NFC label of the patient establish two-way communication, updated serial number information is recorded into the second NFC label, and the patient can carry the second NFC label to print out a preliminary treatment report at any printing position at any time, so that the convenience for extracting the preliminary treatment report by the patient is improved.
In a preferred embodiment, as shown in fig. 2, step S4 includes:
step S41, scrambling a plurality of ultrasonic images to obtain scrambled ultrasonic images;
step S42, calculating the total pixel number in each scrambled ultrasonic image, then calculating the probability of each pixel value according to the total pixel number, and forming a mapping chart according to the pixel value and the corresponding probability;
step S43, encrypting the scrambled ultrasonic image and the mapping map for the first time to obtain an encrypted ultrasonic image;
step S44, the ultrasound image, the mapping chart and the corresponding private key are encrypted for the second time and packaged;
and step S45, performing third encryption on the packaged data obtained in the step S44, wherein the third encryption is to perform md5 encryption on the packaged data to obtain a signature character string, and uploading the signature character string to a cloud server.
Specifically, after the palm ultrasonic detector generates ultrasonic images, the ultrasonic images are scrambled, the total pixel number in each ultrasonic image is calculated, the probability of each pixel value is calculated, and therefore a mapping map is obtained. .
As a preferred embodiment, in step S41, scrambling the ultrasound image by using a pseudo random number generated by a two-dimensional Logistic chaotic model, where the mapping form of the two-dimensional Logistic chaotic model is:
Figure BDA0002327090990000091
wherein the content of the first and second substances,
x and y are state variables, and x and y are belonged to (0, 1);
mu 1, mu 2 and gamma are control parameters, and when mu 1, mu 2 belongs to [0.89,0.9] and gamma belongs to (0,1), the two-dimensional Logistic chaotic model is in a chaotic state.
Further, in step S42, the probability of each pixel is calculated by the following formula:
Figure BDA0002327090990000101
wherein the content of the first and second substances,
j is used to denote the sequence number of each pixel;
njfor representing each pixel value;
Sjrepresenting the probability of each pixel.
Specifically, the pixel value is a value given by a computer when an original ultrasonic image uploaded to the computer (i.e., a terminal device) by the palm ultrasonic detector is digitized, and represents average brightness information of a small block of an original, or average reflection density information of the small block.
In a preferred embodiment, as shown in fig. 3, step S5 includes:
step S51, the cloud server decrypts the packaged data uploaded by the handheld ultrasonic detector;
step S52, noise reduction and attenuation compensation processing are carried out on the plurality of decrypted ultrasonic images;
step S53, comparing the plurality of ultrasound images processed in step S52 with a standard image to form a quality distribution map, and screening out the ultrasound image with the most significant features according to the quality distribution map, and then obtaining a preliminary result according to the screened ultrasound image.
Specifically, the cloud server decrypts the uploaded packed data, and then performs noise reduction and attenuation compensation processing on the decrypted multiple ultrasound images. During the noise reduction process, the acquired ultrasound image I (x, y) is MxN in size, and the ultrasound image is first gaussian convolved using the following formula (where σ is 1.4):
Figure BDA0002327090990000102
in the formula, x and y are coordinates of the ultrasonic image, noise of the ultrasonic image is reduced through Gaussian convolution, and an image Inew (x, y) after noise reduction is obtained, so that the signal-to-noise ratio of the ultrasonic image is improved, and original information of the ultrasonic image is kept to the maximum extent.
After the noise reduction processing is completed, then attenuation compensation is performed, the average gray value of every 4 lines of ultrasound images is calculated firstly and is used as the average of the first line in the horizontal direction, so that an Mx1 vector k can be obtained, and then the average value of the vector is subtracted from the whole vector to make the average value zero. The formula for the attenuation compensation is as follows:
Figure BDA0002327090990000111
k'(x)＝k-＜k＞
the gray scale of the ultrasound image is then subtracted column by vector k'. Similarly, the above processing is also performed in the vertical direction of the ultrasound image, thereby completing the attenuation compensation processing of the ultrasound image.
Specifically, after the noise reduction and attenuation compensation processing is performed on the ultrasonic images, the processed ultrasonic images are compared with a preset standard image to form a quality distribution map. It should be noted that the standard image is pre-stored in the image library in the cloud server, and the standard image is an ultrasound image of the body in a normal state, for example, when performing B-ultrasound detection on the liver, the cloud server may call the normal ultrasound image of the liver to compare with the ultrasound image uploaded by the palm ultrasound detector, so as to form a quality distribution map. In the process of contrast calculation, firstly, a histogram of a standard image is counted, then, a gray level histogram of a characteristic point of the standard image is separately screened out, and a histogram curve set Ssrc (x, y) is fitted; then, counting the histogram of each ultrasonic image, screening out the gray histogram of the feature points of each ultrasonic image, fitting a histogram curve set Sdst (x, y), and calculating the Euclidean distance between the two curve sets by using the following formula:
Figure BDA0002327090990000112
wherein, the smaller the Euclidean distance, the higher the similarity between the ultrasound image and the standard image. After each ultrasonic image is compared with the standard image, each ultrasonic image has a corresponding similarity coefficient, the series of similarity coefficients are ranked, the ultrasound image with the smallest similarity coefficient can be used as the ultrasound image with the most significant characteristics, and a preliminary result is generated according to the ultrasound image, so that the accuracy of a preliminary processing report is ensured.
The invention also comprises an ultrasonic detection system for realizing the information interaction function, as shown in fig. 4, the ultrasonic detection system comprises a palm ultrasonic detector 1, and a detector carries out ultrasonic detection on the body of a patient through the palm ultrasonic detector 1 and forms a plurality of ultrasonic images; the detection personnel adopts an ultrasonic detection system to check the patient according to the ultrasonic detection method;
a first NFC tag 2 with a unique identifier is prepared in advance for each detection person, and first associated information of the detection person is stored in the first NFC tag 2 in advance;
a second NFC tag 3 with a unique identifier is prepared in advance for each patient, and second associated information of the patient is stored in the second NFC tag 3 in advance;
the ultrasonic detection system comprises:
the NFC reader-writer 4 is arranged in the handheld ultrasonic detector 1, and the handheld ultrasonic detector 1 reads the first associated information and the second associated information through the NFC reader-writer 4;
the display device 5 is connected with the handheld ultrasonic detector 1 and is used for displaying ultrasonic images;
the handheld ultrasonic detector 1 further comprises an encryption module 6, and the handheld ultrasonic detector 1 encrypts the serial number information of the patients in the multiple ultrasonic images and the second associated information through the encryption module 6 and uploads the encrypted serial number information to the cloud server 7;
the cloud server screens a plurality of ultrasonic images, screens the ultrasonic images with the most significant characteristics, gives a preliminary result according to the screened ultrasonic images, and generates and stores a preliminary processing report according to the screened ultrasonic images and the preliminary result;
meanwhile, the cloud server updates the number information according to the preliminary processing report and returns the updated number information to the handheld ultrasonic detector.
Specifically, the handheld ultrasonic detector in this embodiment has a built-in NFC reader-writer, and can quickly read the first NFC tag of the detection staff and the second NFC tag of the patient to enter the associated information, so that the conventional manual information input is avoided, the workload of the detection staff is effectively reduced, and a large amount of human resources are saved. Meanwhile, a large number of ultrasonic images formed by the handheld ultrasonic detector can be encrypted and then uploaded to the cloud server, calculation and primary processing reports are formed and stored in the cloud server, occupation of local memory resources of the handheld ultrasonic system is avoided, and a patient can conveniently call related primary processing reports from the cloud server through the self-service printer subsequently.
In a preferred embodiment, the handheld ultrasonic detector further includes a fingerprint identification module, and the inspector performs preliminary identity verification through the fingerprint identification module to start the handheld ultrasonic detector. Through the fingerprint identification module, the detection personnel can log in the ultrasonic detection system fast, thereby saving the working time.
The technical scheme of the invention has the beneficial effects that: the invention provides an ultrasonic detection method and an ultrasonic detection system for realizing an information interaction function, wherein a detector can directly read first associated information and second associated information through an NFC reader-writer arranged in a palm ultrasonic detector so as to transmit the second associated information of a patient to the palm ultrasonic detector, so that the time for the detector to input data is saved; meanwhile, after the diagnosis is finished, the cloud server associates the generated preliminary treatment report with the number information of the patient, so that the patient can conveniently extract the preliminary treatment report subsequently, and the information interaction function of the ultrasonic detection system is realized.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.

Claims (10)

1. An ultrasonic detection method for realizing an information interaction function is applied to an ultrasonic detection system, the ultrasonic detection system comprises a palm ultrasonic detector, and the ultrasonic detection method is characterized in that an NFC reader is arranged in the palm ultrasonic detector and is used for identifying a first NFC label of a person to be detected and a second NFC label of a patient; the ultrasonic detection method specifically comprises the following steps:
step S1, enabling the palm ultrasonic detector after the detection personnel carry out identity verification, and reading first associated information in the first NFC label through the palm ultrasonic detector to log in the ultrasonic detection system;
step S2, the inspector uses the ultrasonic handheld detector to identify the second NFC tag, so as to transmit second association information in the second NFC tag to the ultrasonic handheld detector;
step S3, the inspector uses the palm ultrasonic detector to perform ultrasonic examination on the patient to obtain a plurality of ultrasonic images;
step S4, the handheld ultrasonic detector encrypts the serial number information of the patient in the plurality of ultrasonic images and the second associated information, and uploads the serial number information to a cloud server;
step S5, the cloud server screens a plurality of uploaded ultrasonic images, screens the ultrasonic image with the most significant characteristics, and processes the ultrasonic image according to the screened ultrasonic image to obtain a preliminary result;
and step S6, the cloud server generates and stores a preliminary processing report according to the screened ultrasonic images and the preliminary result, and meanwhile, the cloud server updates the number information according to the preliminary processing report and returns the updated number information to the handheld ultrasonic detector.
2. The ultrasonic testing method of claim 1, further comprising:
step S7, after receiving the updated serial number information, the palm ultrasonic detector transmits the updated serial number information to the second NFC tag of the patient through the NFC reader.
3. The ultrasonic testing method as set forth in claim 1, wherein said step S4 includes:
step S41, scrambling a plurality of ultrasound images to obtain scrambled ultrasound images;
step S42, calculating the total pixel number in each scrambled ultrasonic image, then calculating the probability of each pixel value according to the total pixel number, and forming a mapping chart according to the pixel value and the corresponding probability;
step S43, encrypting the scrambled ultrasound image and the mapping map for the first time to obtain an encrypted ultrasound image;
step S44, encrypting and packing the ultrasound image, the mapping chart and the corresponding private key for the second time;
and step S45, performing third encryption on the packaged data obtained in the step S44 to obtain a signature character string, and uploading the signature character string to the cloud server.
4. The ultrasonic testing method according to claim 3, wherein said step S5 includes:
step S51, the cloud server decrypts the packaged data uploaded by the palm ultrasonic detector;
step S52, noise reduction and attenuation compensation processing are carried out on the plurality of decrypted ultrasonic images;
step S53, comparing the plurality of ultrasound images processed in step S52 with a standard image to form a quality distribution map, and selecting the ultrasound image with the most significant features according to the quality distribution map, and then obtaining the preliminary result according to the selected ultrasound image.
5. The ultrasonic testing method according to claim 3, wherein in the step S41, the ultrasonic image is scrambled by using a pseudo random number generated by a two-dimensional Logistic chaotic model, and the mapping form of the two-dimensional Logistic chaotic model is as follows:
Figure DEST_PATH_IMAGE002
wherein the content of the first and second substances,
x and y are state variables, and x and y are belonged to (0, 1);
mu 1, mu 2 and gamma are control parameters, and when mu 1, mu 2 belongs to [0.89,0.9] and gamma belongs to (0,1), the two-dimensional Logistic chaotic model is in a chaotic state.
6. The ultrasonic detection method according to claim 3, wherein in the step S42, the probability of each of the pixels is calculated by the following formula:
Figure DEST_PATH_IMAGE004
wherein the content of the first and second substances,
j is used to represent the sequence number of each said pixel;
Figure DEST_PATH_IMAGE006
for representing each of said pixel values;
Figure DEST_PATH_IMAGE008
for representing the probability corresponding to each of the pixels.
7. The ultrasound detection method according to claim 1, wherein the association information comprises the number information of the patient and/or the name of the patient and/or the age of the patient and/or the identification of the patient and/or the initial visit information of the patient and/or the historical preliminary treatment report of the patient.
8. The ultrasonic testing method as claimed in claim 1, wherein said testing personnel performs said identity verification by means of fingerprint identification to activate said palm-top ultrasonic testing apparatus.
9. An ultrasonic detection system for realizing an information interaction function comprises a palm ultrasonic detector, wherein a detector carries out ultrasonic detection on the body of a patient through the palm ultrasonic detector and forms a plurality of ultrasonic images; characterized in that an inspector uses the ultrasonic inspection system to examine a patient according to the ultrasonic inspection method of any one of claims 1 to 8;
a first NFC tag with a unique identifier is prepared in advance for each detection person, and first associated information of the detection person is stored in the first NFC tag in advance;
preparing a second NFC label with a unique identifier for each patient in advance, wherein second associated information of the patient is stored in the second NFC label in advance;
the ultrasonic detection system comprises:
the NFC reader-writer is arranged in the handheld ultrasonic detector, and the handheld ultrasonic detector reads the first associated information and the second associated information through the NFC reader-writer;
the display device is connected with the handheld ultrasonic detector and is used for displaying the ultrasonic image;
the handheld ultrasonic detector further comprises an encryption module, and the handheld ultrasonic detector encrypts the serial number information of the patient in the plurality of ultrasonic images and the second associated information through the encryption module and uploads the encrypted serial number information to the cloud server;
the cloud server screens a plurality of ultrasonic images, screens the ultrasonic images with the most significant characteristics, gives a preliminary result according to the screened ultrasonic images, and generates and stores a preliminary processing report according to the screened ultrasonic images and the preliminary result;
and meanwhile, the cloud server updates the number information according to the primary processing report and returns the updated number information to the handheld ultrasonic detector.
10. The ultrasonic testing system of claim 9, wherein said hand-held ultrasonic tester further comprises a fingerprint recognition module, said tester performing a preliminary identity verification with said fingerprint recognition module to activate said hand-held ultrasonic tester.
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