WO2019037264A1 - 区域医疗检查影像在线处理系统及方法 - Google Patents

区域医疗检查影像在线处理系统及方法 Download PDF

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Publication number
WO2019037264A1
WO2019037264A1 PCT/CN2017/108977 CN2017108977W WO2019037264A1 WO 2019037264 A1 WO2019037264 A1 WO 2019037264A1 CN 2017108977 W CN2017108977 W CN 2017108977W WO 2019037264 A1 WO2019037264 A1 WO 2019037264A1
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image
medical examination
medical
doctor
examination image
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English (en)
French (fr)
Inventor
张贯京
葛新科
王海荣
魏琼东
高伟明
周亮
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Shenzhen Qianhai AnyCheck Information Technology Co Ltd
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Shenzhen Qianhai AnyCheck Information Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/51—Indexing; Data structures therefor; Storage structures

Definitions

  • the present invention relates to the technical field of Internet medical treatment, and in particular, to a regional medical examination image online processing system and method.
  • PACS Picture Archiving and Communication Systems
  • the main task is to make various medical images generated by daily medical examination equipment, including various nuclear magnetic, CT, Images generated by equipment such as ultrasound, X-ray machines, infrared instruments, and microscopy are stored digitally through various interfaces. When needed, they can be quickly recalled under certain authorizations. Some auxiliary diagnostic management functions.
  • the manual operation of the PACS system assigns the patient's medical examination images to the doctors of the corresponding examination department. Due to the tight resources of the hospital, the number of patients per day is large. Manually distributing medical examination images is laborious and laborious, which is not conducive to the efficiency of hospital work, and there may be errors in department allocation, which may cause inconvenience to patients.
  • the main objective of the present invention is to provide a regional medical examination image online processing system and method, aiming at solving the problem that the existing PACS system cannot perform online processing of medical examination images and distribute medical examination images online to corresponding hospitals. Check the technical problems of the doctor's workstation in the department. .
  • the present invention provides an online processing system for regional medical examination images, which is operated in a cloud server, which is connected to a PACS database and a plurality of doctor workstations, and the system includes:
  • the obtaining module is configured to query the medical examination image in the PACS database every preset time, and check whether the medical examination image in the PACS database has a new medical examination image by checking the status mark of the medical examination image in the PACS database.
  • a medical examination image recognition module is used to identify the patient number corresponding to the patient from the newly added medical examination image and The image inspection number, and the hospital examination department corresponding to the newly added medical examination image according to the image inspection number;
  • the medical inspection image processing module which is used to remove the newly added medical examination image by distortion-free noise filtering processing Adding medical examination images to impurities in the image to obtain noise-free medical images, and gray-level stratification of noise-free medical images
  • the medical image is sent for inspection; the medical inspection image distribution module is used to send the patient number and the medical image to be sent to the doctor's workstation of the hospital examination department for medical examination by the doctor.
  • the medical examination image acquisition module is further configured to: when the PACS database has a new medical examination image, update the status flag of the newly added medical examination image to the read status flag.
  • the task status of each doctor workstation is recorded in a task status table, the task status is an idle state or an active state, and the task status table also records the IP of each doctor workstation.
  • the address, the task status table is stored in a storage unit of the cloud server.
  • the medical examination image distribution module comprises: a task status monitoring sub-module, configured to monitor the task status of each doctor workstation in the hospital examination department, and determine the hospital according to the task status table. Check whether there is a doctor workstation whose task status is idle; the medical inspection image transmission sub-module is used to read the IP address of the doctor workstation in an idle state when the hospital inspection department has an idle doctor workstation The task status of the doctor workstation is modified to the working state, and the patient number and the submitted medical image are sent to the doctor workstation corresponding to the IP address according to the read IP address for the doctor to perform medical examination on the patient.
  • a task status monitoring sub-module configured to monitor the task status of each doctor workstation in the hospital examination department, and determine the hospital according to the task status table. Check whether there is a doctor workstation whose task status is idle; the medical inspection image transmission sub-module is used to read the IP address of the doctor workstation in an idle state when the hospital inspection department has an idle doctor workstation The task status of the doctor workstation is modified to
  • the medical examination image distribution module further includes a task status modification sub-module, configured to receive a notification of completing the inspection and sending the medical image from any doctor workstation when receiving the task status modification sub-module Message ⁇ , modifying the task status of the doctor workstation to an idle state in the task status table
  • a task status modification sub-module configured to receive a notification of completing the inspection and sending the medical image from any doctor workstation when receiving the task status modification sub-module Message ⁇ , modifying the task status of the doctor workstation to an idle state in the task status table
  • the present invention also provides an online processing method for regional medical examination images, which is applied to a cloud server, which is connected to a PACS database and a plurality of doctor workstations. The method includes the following steps: Query the medical examination image in the PACS database, and check whether there is a new medical examination image in the PACS database by checking the status mark of the medical examination image in the PACS database.
  • the new medical examination image is read from the PACS database; the patient number and the image inspection number corresponding to the patient are identified from the newly added medical examination image, and the corresponding medical examination image is determined according to the image inspection number.
  • the hospital inspection department will add new medical examination images for distortion-free noise filtering to remove impurities from the newly added medical examination images to obtain noise-free medical images; Medical imaging; send the patient number and medical image for examination to the doctor's workstation in the hospital examination department for the doctor to the patient Conduct a medical examination.
  • the online medical examination image online processing method further comprises the steps of: updating the status flag of the newly added medical examination image to be updated when there is a new medical examination image in the PACS database. Read the status tag.
  • the task status of each doctor workstation is recorded in a task status table
  • the task status is an idle state or a working state
  • the task status table also records the IP of each doctor workstation.
  • the address, the task status table is stored in a storage unit of the cloud server.
  • the step of sending the patient number and the medical image for inspection to the doctor's workstation of the hospital examination department comprises the following steps:
  • the patient number and the medical image to be sent are sent to the doctor's workstation corresponding to the IP address according to the read IP address for medical examination by the doctor.
  • the online medical examination image online processing method further comprises the steps of: receiving a notification message from any doctor workstation to complete the inspection and sending the medical image, in the task status table. Modify the task status of the doctor workstation to an idle state.
  • the online medical examination image online processing system and method of the present invention can perform online processing on the medical examination image received by the P ACS database, and improve the doctor's inspection of the medical examination image.
  • Accuracy which is conducive to the accuracy of disease diagnosis, reducing the occurrence of medical accidents; can distribute the medical examination images of the PACS database online, and effectively distribute the medical examination images to the doctor workstations so that doctors can
  • the analysis of the medical examination images and the diagnosis report make the human resources save the doctor's diagnosis compared with the traditional manpower transmission, improve the efficiency of the doctor's diagnosis, and have good practicability.
  • the doctor can make a diagnosis report on the medical examination image on the doctor's workstation, and can effectively guide the doctor's clinical work, improve the flexibility and coordination of the diagnosis and clinical workstation, and improve the efficiency of the hospital.
  • FIG. 1 is a schematic diagram of an application environment of a preferred embodiment of a regional medical examination image online processing system according to the present invention
  • FIG. 2 is a functional block diagram of an online medical examination image online processing system of the present invention
  • FIG. 3 is a flow chart of a preferred embodiment of an online processing method for regional medical examination images according to the present invention.
  • step S37 of FIG. 3 is a detailed sub-flow chart of step S37 of FIG. 3.
  • FIG. 1 is a schematic diagram of an application environment of a preferred embodiment of an online medical examination image online processing system according to the present invention.
  • the regional medical examination image online processing system 10 runs in the cloud server 1, and the cloud server 1 establishes a data connection with the PACS database 2 through the database connection 4, and communicates with multiple doctors through the communication network 5.
  • the workstation 3 establishes a communication connection.
  • the cloud server 1 is a server or a computer installed in a cloud smart hospital organization, and the image transmission capability and data location of the cloud server 1 is adopted.
  • the cloud server 1 includes, but is not limited to, an area medical examination image online processing system 10, a communication unit 11, a processing unit 12, and a storage unit 13.
  • the communication unit 11 is a wired communication interface or a wireless communication interface, for example, a communication interface supporting communication technologies such as GSM, GPRS, WCDMA, CDMA, TD-SCDMA, WiM AX, TD-LTE, and FDD-LTE.
  • the processing unit 12 can be a central processing unit (CPU), a microcontroller (MCU), a data processing chip, or an information processing unit having data processing functions.
  • the storage unit 13 may be a read only memory (ROM), an electrically erasable memory (EEPROM), a flash memory (FLASH), or a solid state hard disk.
  • the PACS database 2 is connected to various medical testing devices in a hospital medical institution (for example, a top three hospital), such as nuclear magnetic, CT, ultrasonic, X-ray machine, infrared instrument, microscopy, etc., from various medical tests.
  • the device collects and stores medical examination images of the patient, for example, nuclear magnetic examination images, CT examination images, ultrasonic examination images, X-ray examination images, and infrared inspection images.
  • the database connection 4 may be an Open Database Connectivity (ODBC) or a Java Data Base Connectivity (JDBC) for transmitting medical examination images between the cloud server 1 and the PACS database 2.
  • ODBC Open Database Connectivity
  • JDBC Java Data Base Connectivity
  • the doctor workstation 3 is a smart terminal installed in a hospital examination department, such as a personal computer, a workstation computer, and a notebook computer.
  • the hospital medical institution includes a plurality of hospital examination departments, such as surgery, internal medicine, ophthalmology, rhinology, pediatrics, gynecology, etc.
  • Each hospital examination department is provided with one or more doctor workstations 3 For the doctor to diagnose the disease for the patient.
  • the cloud server 1 assigns the medical examination image in the PACS database 2 to the corresponding doctor workstation 3
  • the doctor workstation 3 can display the received medical examination image, and the doctor can view the medical examination image displayed by the doctor workstation 3. , check and diagnose the patient's condition.
  • the cloud server 1 sends the image data to the doctor workstation 3, and may be sent in various manners, for example, based on a LAN (Local Area Network) protocol, or based on an FTP (File Transfer Protocol) transmission. Or based on the DICOM (Digital Imaging and Communications in Medicine) protocol.
  • the above DICOM protocol is an international standard for medical images and related information, which defines Medical image format that can meet the clinical needs and can be used for data exchange. It covers almost all information exchange protocols such as medical digital image acquisition, archiving, communication, display and query. Therefore, medical examination based on D ICOM protocol To check the transmission of image data, the medical examination image data can only be transmitted in the format specified in the DICOM protocol.
  • the communication network 5 may be a wired communication network or a wireless communication network.
  • the communication network 4 may be a wireless communication network, including but not limited to, a GSM network, a GPRS network, a CDMA network, a TD-SCDMA network, a WiMAX network, a TD-LTE network, an FDD-LTE network, and the like. transporting network.
  • the communication network 4 can also be a wired communication network, such as an Internet network and a TCP/IP protocol network.
  • FIG. 2 is a schematic diagram of a preferred embodiment of a regional medical examination image online processing system of the present invention.
  • the regional medical examination image online processing system 10 includes, but is not limited to, a medical examination image acquisition module 101, a medical examination image recognition module 102, a medical examination image processing module 103, and a medical examination.
  • the image distribution module 104 is checked.
  • the medical examination image distribution module 104 includes a task status monitoring sub-module 1041, a medical examination image transmission sub-module 1042, and a task status modification sub-module 1043.
  • the module referred to in the present invention refers to a series of computer program instruction segments which can be executed by the processing unit 13 of the cloud server 1 and which can perform a fixed function, which are stored in the storage unit 12 of the cloud server 1.
  • the medical examination image acquisition module 101 is configured to query the medical examination image in the PACS database 2 every predetermined time, and determine whether there is a new medical examination image in the PACS database 2.
  • the preset time can be determined according to the amount of traffic in the hospital, for example, it can be set to 30 seconds in advance, or can be set to 2 minutes, that is, the PACS database 2 is refreshed every 30 seconds or 2 minutes.
  • Chinese medical examination images The medical examination image acquisition module 101 determines whether there is an additional medical examination image in the PACS database 2 by checking the status flag of the medical examination image in the PACS database 2.
  • the medical examination image acquisition module 101 is further configured to read the newly added medical examination image from the PACS database 2 and read the newly added medical examination image.
  • the status tag is updated to the read status tag.
  • the status flag of the medical examination image includes a read status flag (eg, labeled ' ⁇ ') and an unread status flag (eg, labeled "N"), when the medical examination in the PACS database 2
  • the image has been read by the medical examination image acquisition module 101 and assigned to the doctor workstation 3 for the doctor to watch the film.
  • the status flag of the medical examination image is modified to the read status flag to prevent the medical examination image from being read again; when the medical examination image in the PACS database 2 is not read by the medical examination image acquisition module 101, medical Check that the status of the image is the unread status flag (that is, the default is the unread status flag), indicating that the medical examination image has not been read.
  • the medical examination image recognition module 102 is configured to identify the patient number and the image inspection number corresponding to the patient from the newly added medical examination image, and determine the corresponding medical examination image according to the image inspection number.
  • Hospital inspection department In this embodiment, after the hospital performs a medical image examination for the patient, a unique patient number (Patient ID) and an image inspection number (Aplly ID) are generated for each examination, and the patient's medical condition is taken in the medical device. The examination image is recorded together with the patient's medical examination image.
  • the patient number and image inspection number are composed of numbers and letter numbers.
  • the patient number can include information such as name, gender, mobile phone number, date of birth, etc.
  • the image inspection number can include the patient examination site code and the hospital serial number.
  • the patient examination site code corresponds to the code of the hospital examination department.
  • the medical examination image recognition module 102 identifies the image inspection number from the newly added medical examination image by using the existing OCR recognition technology, and determines the hospital examination corresponding to the newly added medical examination image according to the identified image inspection number. Department
  • the medical examination image processing module 103 is configured to perform a distortion-free noise filtering process on the newly added medical examination image to remove impurities in the newly added medical examination image to obtain a noise-free medical image.
  • the medical examination image processing module 103 uses a Gaussian filter function to perform a distortion-free noise filtering process on the newly added medical examination image to remove the medical image impurity of the newly added image to obtain a noise-free medical image, thereby obtaining a noise-free medical image.
  • Improve the accuracy of doctors' examination of medical examination images which is conducive to the accuracy of disease diagnosis and reduce the occurrence of medical accident errors.
  • the medical examination image processing module 103 is further configured to perform gray leveling processing on the noise-free medical image to obtain a medical image for inspection, so as to enhance the layered display effect of the medical examination image.
  • the grayscale layering process is also referred to as density layering processing, including dividing the noise-free medical image into different regions according to gray levels and performing color assignment processing on each region, thereby Noise-free medical images achieve a layered display.
  • the medical image sent after the gray leveling process can more clearly display the human organ condition on the medical examination image, such as the structure, size, contour and texture distribution of the heart. Thereby further assisting the doctor to improve the accuracy of the doctor's examination of the medical examination image.
  • the medical examination image distribution module 104 transmits the patient number and the medical image to be sent to the doctor workstation 3 of the hospital examination department for medical examination by the doctor.
  • the doctor can make a diagnosis report on the medical image sent by the doctor workstation 3, and can effectively guide the clinical work of the doctor in the clinical workstation, and improve the flexibility and cooperation of the diagnosis and clinical work. Improve the efficiency of hospital work.
  • the task status monitoring sub-module 1041 is configured to monitor the task status of each doctor workstation 3 in the hospital examination department, and determine whether the hospital inspection department has a doctor workstation 3 whose task status is idle.
  • the task status includes an idle state (e.g., labeled "F" state) and an active state (e.g., labeled "B" state).
  • the task status of each doctor workstation 3 is recorded in a task status table, which is stored in the storage unit 13 of the cloud server 1, which stores the IP address and task of each doctor workstation 3. status.
  • the task status monitoring sub-module 1041 determines whether there is a doctor workstation 3 whose task status is idle by checking the task status of each doctor workstation 3 in the task status table.
  • the medical examination image transmission sub-module 1042 is configured to read the IP address of the doctor workstation 3 in an idle state when the hospital inspection department has an idle state of the doctor workstation 3, and the task of the doctor workstation 3 The status is changed to the working status.
  • the medical examination image transmitting module 104 acquires the IP address of the doctor workstation 3 in an idle state from the task status record table, and simultaneously changes the task status of the doctor workstation 3 to work in the task status record table.
  • the status for example, marks the task status of the doctor workstation 3 as "B" status.
  • the medical examination image transmission sub-module 1042 is further configured to send the patient number and the medical image to be sent to the doctor workstation 3 corresponding to the IP address according to the read IP address for the doctor to perform medical examination on the patient.
  • the task status modification sub-module 1043 is configured to modify the task status of the doctor workstation 3 to an idle state when receiving a notification message from the doctor workstation 3 that completes the examination of the medical examination image.
  • the notification message for checking the medical examination image can be input through the input device (for example, a keyboard or a mouse) of the doctor workstation 3.
  • the task status modification sub-module 1043 modifies the task status of the doctor workstation 3 to an idle state in the task status table, for example, The task status of the doctor workstation 3 is changed to the "F" state.
  • FIG. 3 it is a flow chart of a preferred embodiment of the online medical examination image online processing method of the present invention.
  • the online medical examination image online processing method is applied to the cloud server 1.
  • the method includes the following steps S31 to S39.
  • Step S31 the medical examination image acquisition module 101 queries the medical examination image in the PACS database 2 every predetermined time.
  • the preset time can be determined according to the amount of traffic in the hospital, for example, it can be set to 30 seconds in advance, or can be set to 2 minutes, that is, the PACS database 2 is refreshed every 30 seconds or 2 minutes. Chinese medical examination images.
  • Step S32 the medical examination image acquisition module 101 determines whether there is an additional medical examination image in the PACS database 2.
  • the medical examination image acquisition module 101 determines whether there is an additional medical examination image in the PACS database 2 by checking the status flag of the medical examination image.
  • the status flags include read status flags (e.g., labeled "Y") and unread status flags (e.g., labeled "N").
  • read status flags e.g., labeled "Y”
  • unread status flags e.g., labeled "N"
  • Step S33 when there is a new medical examination image in the PACS database, the medical examination image acquisition module 10
  • the medical examination image acquisition module 101 modifies the status flag of the medical examination image to the read status flag, preventing the The medical examination image is read again.
  • Step S34 the medical examination image recognition module 102 identifies the patient number and the image inspection number corresponding to the patient from the newly added medical examination image, and determines the hospital corresponding to the newly added medical examination image according to the image inspection number. Inspection department. Usually, after the hospital performs an imaging examination for the patient, each time an examination is performed, a unique patient number and image inspection number are generated, and the medical examination image of the patient in the medical device is recorded together with the medical examination of the patient. In the image.
  • the patient number and the image inspection number are both composed of numbers and letter numbers, wherein the patient number may include information such as name, gender, mobile phone number, date of birth, etc.
  • the image inspection number may include the patient examination site code and the hospital water flow. No.
  • the patient examination site code corresponds to the code of the hospital examination department.
  • the medical examination image recognition module 102 The existing OCR recognition technology identifies the image inspection number from the newly added medical examination image, and determines the hospital examination department corresponding to the newly added medical examination image based on the identified image inspection number.
  • Step S35 The medical examination image processing module 103 performs a distortion-free noise filtering process on the newly added medical examination image to remove impurities in the newly added medical examination image to obtain a noise-free medical image.
  • the medical examination image processing module 103 uses a Gaussian filter function to perform a distortion-free noise filtering process on the newly added medical examination image to remove the medical image impurity of the newly added image to obtain a noise-free medical image, thereby obtaining a noise-free medical image.
  • Improve the accuracy of doctors' examination of medical examination images which is conducive to the accuracy of disease diagnosis and reduce the occurrence of medical accident errors.
  • Step S36 The medical examination image processing module 103 performs grayscale layering processing on the noise-free medical image to obtain the medical image for inspection, so as to enhance the layered display effect of the medical examination image.
  • the grayscale layering process is also referred to as density layering processing, including dividing the noise-free medical image into different regions according to gray levels and performing color assignment processing on each region, thereby Noise-free medical images achieve a layered display.
  • the medical image sent after the gray leveling process can more clearly display the human organ condition on the medical examination image, such as the structure, size, contour and texture distribution of the heart. Thereby further assisting the doctor to improve the accuracy of the doctor's examination of the medical examination image.
  • Step S37 the medical examination image distribution module 104 sends the patient number and the medical image for examination to the doctor workstation 3 of the hospital examination department for the medical examination of the patient by the doctor.
  • the doctor can make a diagnosis report on the medical image sent by the doctor workstation 3, and can effectively guide the clinical work of the doctor in the clinical workstation, and improve the flexibility and cooperation of the diagnosis and clinical work. Improve the efficiency of hospital work.
  • step S37 includes the following steps S371 to S375.
  • Step S371 the task status monitoring module 1041 monitors the task status of each doctor workstation 3 in the hospital examination department.
  • the task status includes an idle state (eg, labeled "F” state) and an operational state (eg, labeled "B” state).
  • the task status of each doctor workstation 3 is recorded in a task status table, which is stored in the storage unit 13 of the cloud server, which stores the IP address and task status of each doctor workstation 3. .
  • Step S372 the task status monitoring sub-module 1041 determines whether the hospital inspection department has the doctor workstation 3 whose task status is the idle state.
  • the task status monitoring sub-module 1041 determines whether there is a doctor workstation 3 whose task status is an idle state by checking the task status of each doctor workstation 3 in the task status table. If the hospital examination department has the doctor workstation 3 in the idle state, the flow proceeds to step S372; if the hospital examination department has the doctor workstation 3 in the idle state, the flow returns to step S371.
  • Step S373 when the hospital inspection department has an idle doctor workstation 3, the medical examination image transmission sub-module 1042 reads the IP address of the doctor workstation 3 in an idle state, and the task status of the doctor workstation 3 Change to working status.
  • the medical examination image transmission sub-module 1042 obtains an IP address of the doctor workstation 3 in an idle state from the task status record table, and simultaneously modifies the task status of the doctor workstation 3 in the task status record table to The working status, for example, marks the task status of the doctor workstation 3 as "B" status.
  • Step S374 the medical examination image transmission sub-module 1042 sends the patient number and the sent medical image to the doctor workstation corresponding to the IP address according to the read IP address for the doctor to perform medical examination on the patient.
  • the doctor can make a diagnosis report on the medical examination image on the doctor workstation 3, and can effectively guide the clinical work of the doctor in the clinical workstation, and improve the flexibility and coordination of the diagnosis and clinical work. Improve the efficiency of hospital work.
  • Step S375 when receiving the notification message from the doctor workstation 3 to complete the inspection and sending the medical image, the task status modification sub-module 1043 modifies the task status of the doctor workstation 3 to the idle state.
  • the notification message for checking the medical image for examination can be input through the input device (e.g., keyboard or mouse) of the doctor workstation 3.
  • the task status modification sub-module 1043 modifies the task status of the doctor workstation 3 to the idle state in the task status table, for example. , the task status of the doctor workstation 3 is changed to the "F" state.
  • the online medical examination image online processing system and method of the present invention can perform online processing on the medical examination image received by the PACS database 2, thereby improving the accuracy of the examination of the medical examination image by the doctor, and is beneficial to disease diagnosis.
  • Accuracy reduce the occurrence of medical accidents; can distribute the medical examination images of the PACS database 2 online, and effectively distribute the medical examination images to the doctor's workstation 3, so that the doctor can check the medical examinations arbitrarily Image analysis and diagnostic report, compared to traditional human transmission
  • the saving of human resources also saves the doctor's diagnosis, improves the efficiency of doctors' diagnosis, and has good practicability.
  • the doctor can make a diagnosis report on the medical examination image on the doctor's workstation 3, and can effectively guide the doctor's clinical work, improve the flexibility and cooperation of the diagnosis and clinical workstation, and improve the efficiency of the hospital.
  • the online medical examination image online processing system and method of the present invention can perform online processing on the medical examination image received by the P ACS database, and improve the doctor's inspection of the medical examination image.
  • Accuracy which is conducive to the accuracy of disease diagnosis, reducing the occurrence of medical accidents; can distribute the medical examination images of the PACS database online, and effectively distribute the medical examination images to the doctor workstations so that doctors can
  • the analysis of the medical examination images and the diagnosis report make the human resources save the doctor's diagnosis compared with the traditional manpower transmission, improve the efficiency of the doctor's diagnosis, and have good practicability.
  • the doctor can make a diagnosis report on the medical examination image on the doctor's workstation, and can effectively guide the doctor's clinical work, improve the flexibility and coordination of the diagnosis and clinical workstation, and improve the efficiency of the hospital.

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Abstract

本发明提供一种区域医疗检查影像在线处理系统及方法，该方法包括步骤：每隔预设时间查询PACS数据库中的医疗检查影像，当PACS数据库有新增医疗检查影像时，读取新增医疗检查影像；从新增医疗检查影像识别患者编号和影像检查编号，并根据影像检查编号确定新增医疗检查影像对应的医院检查科室；将新增医疗检查影像进行无失真去除噪声滤波处理得到无噪声医疗影像；将无噪声医疗影像进行灰度分层处理得到送检医疗影像；将患者编号和送检医疗影像发送至医院检查科室的医生工作站。本发明能够对PACS数据库中的医疗检查影像进行在线处理，提高影像检查的准确性，并能及时有效地将医疗检查影像在线分发给医生工作站供医生进行医学检查，提高医院的工作效率。

Description

发明名称：区域医疗检査影像在线处理系统及方法 技术领域
[0001] 本发明涉及互联网医疗的技术领域， 尤其涉及一种区域医疗检査影像在线处理 系统及方法。
背景技术
[0002] PACS (Picture Archiving and Communication Systems, 影像归档和通信系统） 是应用在医院影像科室的系统， 主要的任务就是把日常医学检査设备产生的各 种医学影像， 包括各种核磁、 CT、 超声、 X光机、 红外仪、 显微仪等设备产生 的图像， 通过各种接口以数字化的方式保存起来， 当需要的吋候在一定的授权 下能够很快的调回使用， 同吋增加一些辅助诊断管理功能。
[0003] 患者在进入医院看病检査吋， 常常需要做一些影像检査， 比如 CT、 X光等， 检 査后的医疗检査影像都会保存在 PACS系统中。 当医生需要査看患者的医疗检査 影像吋， 会通过医生工作站从 PACS系统中调阅医疗检査影像对患者的病症进行 检査和诊断， 在完成检査后会给患者一张比较有代表性的医用胶片供患者査看 或临床诊断参考。 然而， 现有的 PACS系统不能将医疗检査影像自动分配到对应 科室的医生工作站供医生对患者的医疗检査影像进行看片， 以供医生对进行患 者的病症进行检査与诊断， 往往需要人工操作 PACS系统将患者的医疗检査影像 一个个分配给对应检査科室的医生手中。 由于现在医院资源紧张， 每天患者数 量较多， 手工分配医疗检査影像费吋费力， 不利于医院的工作效率， 且有吋候 会产生科室分配错误， 给患者检査带来不便。
技术问题
[0004] 本发明的主要目的在于提供一种区域医疗检査影像在线处理系统及方法， 旨在 解决现有 PACS系统不能对医疗检査影像进行在线处理并将医疗检査影像在线分 发到对应医院检査科室中的医生工作站的技术问题。 。
问题的解决方案
技术解决方案 [0005] 为实现上述目的， 本发明提供一种区域医疗检査影像在线处理系统， 运行于云 服务器中， 该云服务器连接有一个 PACS数据库和多个医生工作站， 该系统包括 ： 医疗检査影像获取模块， 用于每隔预设吋间査询 PACS数据库中的医疗检査影 像， 通过检査 PACS数据库中医疗检査影像的状态标记来判断 PACS数据库中是 否有新增医疗检査影像， 当 PACS数据库中有新增医疗检査影像吋， 从 PACS数 据库中读取新增医疗检査影像； 医疗检査影像识别模块， 用于从新增医疗检査 影像中识别出患者对应的患者编号和影像检査编号， 以及根据影像检査编号确 定新增医疗检査影像对应的医院检査科室； 医疗检査影像处理模块， 用于将新 增医疗检査影像进行无失真去除噪声滤波处理来清除新增医疗检査影像中的杂 质得到无噪声医疗影像， 将无噪声医疗影像进行灰度分层处理得到送检医疗影 像； 医疗检査影像分发模块， 用于将患者编号以及送检医疗影像发送至医院检 査科室的医生工作站供医生对患者进行医学检査。
[0006] 优选的， 所述医疗检査影像获取模块还用于当 PACS数据库有新增医疗检査影 像吋， 将已读取的新增医疗检査影像的状态标记更新为已读状态标记。
[0007] 优选的， 所述每一台医生工作站的任务状态记录在一个任务状态表中， 所述任 务状态为空闲状态或工作状态， 所述任务状态表还记录有每一台医生工作站的 IP 地址， 所述任务状态表存储在云服务器的存储单元中。
[0008] 优选的， 所述医疗检査影像分发模块包括： 任务状态监控子模块， 用于实吋监 控医院检査科室中每一台医生工作站的任务状态， 以及根据所述任务状态表判 断医院检査科室是否存在任务状态为空闲状态的医生工作站； 医疗检査影像发 送子模块， 用于当医院检査科室存在空闲状态的医生工作站吋， 读取一个空闲 状态的医生工作站的 IP地址并将该医生工作站的任务状态修改为工作状态， 以及 根据读取的 IP地址将患者编号以及送检医疗影像发送至该 IP地址对应的医生工作 站供医生对患者进行医学检査。
[0009] 优选的， 所述医疗检査影像分发模块还包括任务状态修改子模块， 该任务状态 修改子模块用于当接收到从任一台医生工作站发出的完成检査送检医疗影像的 通知消息吋， 在所述任务状态表中将该医生工作站的任务状态修改为空闲状态 [0010] 本发明还提供一种区域医疗检査影像在线处理方法， 应用于云服务器中， 该云 服务器连接有一个 PACS数据库和多个医生工作站， 该方法包括如下步骤： 每隔 预设吋间査询 PACS数据库中的医疗检査影像， 通过检査 PACS数据库中医疗检 査影像的状态标记来判断 PACS数据库中是否有新增医疗检査影像， 当 PACS数 据库中有新增医疗检査影像吋， 从 PACS数据库中读取新增医疗检査影像； 从新 增医疗检査影像中识别出患者对应的患者编号和影像检査编号， 并根据影像检 査编号确定新增医疗检査影像对应的医院检査科室； 将新增医疗检査影像进行 无失真去除噪声滤波处理来清除新增医疗检査影像中的杂质得到无噪声医疗影 像； 将无噪声医疗影像进行灰度分层处理得到送检医疗影像； 将患者编号以及 送检医疗影像发送至医院检査科室的医生工作站供医生对患者进行医学检査。
[0011] 优选的， 所述区域医疗检査影像在线处理方法还包括步骤： 当 PACS数据库中 有新增医疗检査影像吋， 将已读取的新增医疗检査影像的状态标记更新为已读 状态标记。
[0012] 优选的， 所述每一台医生工作站的任务状态记录在一个任务状态表中， 所述任 务状态为空闲状态或工作状态， 所述任务状态表还记录有每一台医生工作站的 IP 地址， 所述任务状态表存储在云服务器的存储单元中。
[0013] 优选的， 所述将患者编号以及送检医疗影像发送至医院检査科室的医生工作站 供医生对患者进行医学检査的步骤包括如下步骤：
[0014] 实吋监控医院检査科室中每一台医生工作站的任务状态；
[0015] 判断医院检査科室是否存在任务状态为空闲状态的医生工作站；
[0016] 当医院检査科室存在空闲状态的医生工作站吋， 读取一个空闲状态的医生工作 站的 IP地址并将该医生工作站的任务状态修改为工作状态；
[0017] 根据读取的 IP地址将患者编号以及送检医疗影像发送至该 IP地址对应的医生工 作站供医生对患者进行医学检査。
[0018] 优选的， 所述区域医疗检査影像在线处理方法还包括步骤： 当接收到从任一台 医生工作站发出的完成检査送检医疗影像的通知消息吋， 在所述任务状态表中 将该医生工作站的任务状态修改为空闲状态。
发明的有益效果 有益效果
[0019] 相较于现有技术， 本发明所述区域医疗检査影像在线处理系统及方法可以将 P ACS数据库接收的医疗检査影像进行在线处理， 提高医生对医疗检査影像进行检 査的准确性， 有利于疾病诊断的准确性， 减少医疗事故失误的发生； 可以在线 分发 PACS数据库的中医疗检査影像， 及吋有效地把医疗检査影像合理分配给医 生工作站， 使医生可以及吋地对医疗检査影像进行分析并做出诊断报告， 相比 传统的人力传送节省了人力资源也节省了医生诊断的吋间， 提高了医生诊断的 效率， 具有很好的实用性。 此外， 医生可以医生工作站上对医疗检査影像做出 诊断报告， 可及吋有效地指导医生的临床工作， 提高了诊断与临床工作站的灵 活性与配合力度， 提高医院的工作效率。
对附图的简要说明
附图说明
[0020] 图 1是本发明区域医疗检査影像在线处理系统优选实施例的应用环境示意图； [0021] 图 2为本发明区域医疗检査影像在线处理系统的功能模块图；
[0022] 图 3是本发明区域医疗检査影像在线处理方法优选实施例的流程图；
[0023] 图 4是图 3中步骤 S37的细化子流程图。
[0024] 本发明目的的实现、 功能特点及优点将结合实施例， 参照附图做进一步说明。
实施该发明的最佳实施例
本发明的最佳实施方式
[0025] 为更进一步阐述本发明为达成预定发明目的所采取的技术手段及功效， 以下结 合附图及较佳实施例， 对本发明的具体实施方式、 结构、 特征及其功效， 详细 说明如下。 应当理解， 此处所描述的具体实施例仅仅用以解释本发明， 并不用 于限定本发明。
[0026] 参照图 1所示， 图 1是本发明区域医疗检査影像在线处理系统优选实施例的应用 环境示意图。 在本实施例中， 所述区域医疗检査影像在线处理系统 10运行于云 服务器 1中， 所述云服务器 1通过数据库连接 4与 PACS数据库 2建立数据连接， 并 通过通信网络 5与多个医生工作站 3建立通信连接。 所述云服务器 1是设置在云智 慧医院机构中的一台服务器或计算机， 通过云服务器 1的影像传输能力及数据处 理能力， 可以更好地管理及 /或协助 PACS数据库 2和医生工作站 3之间的影像数据 传输与处理， 从而高效地完成将 PACS数据库 2中的医疗检査影像分配到对应的 医生工作站 3供医生看片使用， 从而辅助医生对患者的病症进行检査与诊断。
[0027] 所述云服务器 1包括， 但不仅限于， 区域医疗检査影像在线处理系统 10、 通信 单元 11、 处理单元 12及存储单元 13。 所述通信单元 11为一种有线通讯接口或无 线通讯接口， 例如， 支持 GSM、 GPRS、 WCDMA、 CDMA、 TD-SCDMA、 WiM AX、 TD-LTE、 FDD-LTE等通讯技术的通讯接口。 所述的处理单元 12可以为一 种中央处理器 （CPU) 、 微控制器 （MCU) 、 数据处理芯片、 或者具有数据处 理功能的信息处理单元。 所述存储单元 13可以为一种只读存储器 （ROM) 、 电 可擦写存储器 （EEPROM) 、 快闪存储器 （FLASH) 或固体硬盘等。
[0028] 所述 PACS数据库 2连接至医院医疗机构 （例如三甲医院） 中的各种医疗检测设 备， 例如核磁、 CT、 超声、 X光机、 红外仪、 显微仪等， 从各种医疗检测设备 采集并存储患者的医疗检査影像， 例如， 核磁检査影像、 CT检査影像、 超声检 査影像、 X光检査影像以及红外检査影像。 所述数据库连接 4可以为幵放式数据 库连接 （Open Database Connectivity, ODBC) 或者 Java数据库连接 （Java Data Base Connectivity, JDBC) ， 用于云服务器 1与 PACS数据库 2之间传输医疗检査 影像。
[0029] 所述医生工作站 3为一台设置在医院检査科室中的智能终端， 例如个人电脑、 工作站计算机、 笔记本电脑。 在本实施例中， 所述医院医疗机构包括多个医院 检査科室， 例如外科、 内科、 眼科、 鼻科、 儿科、 妇科等， 每一医院检査科室 均设置有一台或多台医生工作站 3， 供医生为患者诊断疾病使用。 当云服务器 1 将 PACS数据库 2中的医疗检査影像分配给对应的医生工作站 3吋， 该医生工作站 3可以显示接收到的医疗检査影像， 医生可以通过观看医生工作站 3显示的医疗 检査影像， 对患者的病症进行检査与诊断。 需要说明的是， 云服务器 1向医生工 作站 3发送影像数据吋， 可以有多种方式， 例如基于 LAN (Local Area Network, 局域网)协议发送， 或者基于 FTP(File Transfer Protocol, 文件传输协议)发送， 或 者基于 DICOM(Digital Imaging and Communications in Medicine， 医学数字成像和 通信)协议发送。 上述 DICOM协议是医学图像和相关信息的国际标准， 它定义了 质量能满足临床需要的可用于数据交换的医学图像格式， 它涵盖了医学数字图 像的采集、 归档、 通信、 显示及査询等几乎所有信息交换的协议， 因此， 基于 D ICOM协议进行的医疗检査影像数据的传输， 医疗检査影像数据只能以 DICOM协 议中规定的格式进行传输。
[0030] 所述通信网络 5可以是有线通信网络或无线通信网络。 在本实施例中， 所述通 信网络 4可以为无线通信网络， 包括但不限于， GSM网络、 GPRS网络、 CDMA 网络、 TD-SCDMA网络、 WiMAX网络、 TD-LTE网络、 FDD-LTE网络等无线传 输网络。 所述通信网络 4也可以有线通信网络， 例如 Internet网络及 TCP/IP协议网 络。
[0031] 参照图 2所示， 图 2是本发明区域医疗检査影像在线处理系统的优选实施例的模 块示意图。 在本实施例中， 所述区域医疗检査影像在线处理系统 10包括， 但不 局限于， 医疗检査影像获取模块 101、 医疗检査影像识别模块 102、 医疗检査影 像处理模块 103以及医疗检査影像分发模块 104。 其中， 所述医疗检査影像分发 模块 104包括任务状态监控子模块 1041、 医疗检査影像发送子模块 1042以及任务 状态修改子模块 1043。 本发明所称的模块是指一种能够被所述云服务器 1的处理 单元 13执行并且能够完成固定功能的一系列计算机程序指令段， 其存储在所述 云服务器 1的存储单元 12中。
[0032] 所述医疗检査影像获取模块 101用于每隔预设吋间査询 PACS数据库 2中的医疗 检査影像， 以及判断 PACS数据库 2中是否有新增医疗检査影像。 在本实施例中 ， 所述预设吋间可以根据医院内业务量来确定， 例如可以预先设置为 30秒， 也 可以设置为 2分钟， 即每隔 30秒或 2分钟刷新一次 PACS数据库 2的中医疗检査影 像。 所述医疗检査影像获取模块 101通过检査 PACS数据库 2中医疗检査影像的状 态标记来判断 PACS数据库 2中是否有新增医疗检査影像。 当 PACS数据库中有新 增医疗检査影像吋， 所述医疗检査影像获取模块 101还用于从 PACS数据库 2中读 取新增医疗检査影像并将已读取的新增医疗检査影像的状态标记更新为已读状 态标记。 在本实施例中， 所述医疗检査影像的状态标记包括已读状态标记 （例 如标记为' Ύ") 和未读状态标记 （例如标记为 "N") ， 当 PACS数据库 2中的医疗 检査影像已被医疗检査影像获取模块 101读取并分配到医生工作站 3供医生看片 使用， 医疗检査影像的状态标记修改为已读状态标记， 防止该医疗检査影像再 次被读取； 当 PACS数据库 2中的医疗检査影像未被医疗检査影像获取模块 101读 取， 医疗检査影像的状态为未读状态标记 （即缺省值为未读状态标记） ， 说明 该医疗检査影像未被读取处理。
[0033] 所述医疗检査影像识别模块 102用于从新增医疗检査影像中识别出患者对应的 患者编号和影像检査编号， 及根据影像检査编号确定新增医疗检査影像对应的 医院检査科室。 在本实施例中， 医院在为患者做医疗影像检査吋， 每做一次检 査都会生成一个唯一的患者编号 (Patient ID)和影像检査编号 (Aplly ID), 在医疗 设备摄取患者的医疗检査影像吋一同被记录至患者的医疗检査影像中。 患者编 号和影像检査编号均由数字和字母编号组成， 其中， 患者编号可以包括姓名、 性别、 手机号、 出生年月等信息， 影像检査编号可以包括患者检査部位代码以 及医院流水号， 患者检査部位代码对应有医院检査科室的代码。 医疗检査影像 识别模块 102利用现有的 OCR识别技术从新增医疗检査影像中识别出影像检査编 号， 并根据识别出的影像检査编号确定新增医疗检査影像对应的医院检査科室
[0034] 所述医疗检査影像处理模块 103用于将新增医疗检査影像进行无失真去除噪声 滤波处理来清除新增医疗检査影像中的杂质得到无噪声医疗影像。 在本实施例 中， 医疗检査影像处理模块 103采用高斯滤波函数将新增医疗检査影像进行无失 真去除噪声滤波处理来清除新增的影像的医疗检査影像杂质得到无噪声医疗影 像， 从而提高医生对医疗检査影像进行检査的准确性， 有利于疾病诊断的准确 性， 减少医疗事故失误的发生。 所述医疗检査影像处理模块 103还用于将无噪声 医疗影像进行灰度分层处理得到送检医疗影像， 以增强医疗检査影像的分层显 示效果。 在本实施例中， 所述灰度分层处理也称谓密度分层处理， 包括将所述 无噪声医疗影像按灰度分割成不同的区域并对每个区域进行色彩赋值处理， 从 而使所述无噪声医疗影像达到分层显示的效果。 在本实施例中， 经过灰度分层 处理后的送检医疗影像更能够明显地显示出医疗检査影像上的人体器官情况， 例如心脏的组织结构、 尺寸大小、 外形轮廓以及纹理分布等， 从而进一步辅助 医生提高医生对医疗检査影像进行检査的准确性。 [0035] 所述医疗检査影像分发模块 104将患者编号以及送检医疗影像发送至医院检査 科室的医生工作站 3供医生对患者进行医学检査。 在本实施例中， 医生可以在医 生工作站 3上对送检医疗影像做出诊断报告， 可及吋有效地指导临床工作站中医 生的临床工作， 提高了诊断与临床工作的灵活性与配合力度， 提高医院的工作 效率。
[0036] 所述任务状态监控子模块 1041用于实吋监控医院检査科室中每一台医生工作站 3的任务状态， 以及判断医院检査科室是否存在任务状态为空闲状态的医生工作 站 3。 在本实施例中， 所述任务状态包括空闲状态 （例如标记为 "F"状态） 和工作 状态 （例如标记为 "B"状态） 。 每一台医生工作站 3的任务状态记录在一个任务 状态表中， 该任务状态表存储在云服务器 1的存储单元 13中， 所述任务状态表存 储有每一台医生工作站 3的 IP地址以及任务状态。 所述任务状态监控子模块 1041 通过检査任务状态表中每一台医生工作站 3的任务状态来判断是否有任务状态为 空闲的医生工作站 3。
[0037] 所述医疗检査影像发送子模块 1042用于当医院检査科室存在空闲状态的医生工 作站 3吋， 读取一个空闲状态的医生工作站 3的 IP地址， 并将该医生工作站 3的任 务状态修改为工作状态。 在本实施例中， 医疗检査影像发送模块 104从任务状态 记录表中获取一个空闲状态的医生工作站 3的 IP地址， 同吋在任务状态记录表中 将该医生工作站 3的任务状态修改为工作状态， 例如， 将该医生工作站 3的任务 状态标记为" B"状态。 所述医疗检査影像发送子模块 1042还用于根据读取的 IP地 址将患者编号以及送检医疗影像发送至该 IP地址对应的医生工作站 3供医生对患 者进行医学检査。
[0038] 所述任务状态修改子模块 1043用于当接收到从医生工作站 3发出的完成检査医 疗检査影像的通知消息吋， 将该医生工作站 3的任务状态修改为空闲状态。 在本 实施例中， 当医生在医生工作站 3上对送检医疗影像完成检査吋， 可以通过医生 工作站 3的输入设备 （例如键盘或鼠标） 输入完成检査医疗检査影像的通知消息 。 当云服务器 1接收到任意一台医生工作站 3发出的完成送检医疗影像的通知消 息吋， 任务状态修改子模块 1043在任务状态表将该医生工作站 3的任务状态修改 为空闲状态， 例如， 将该医生工作站 3的任务状态修改为" F"状态。 [0039] 参考图 3所示， 是本发明区域医疗检査影像在线处理方法的优选实施例的流程 图。 在本实施例中， 所述区域医疗检査影像在线处理方法应用于云服务器 1中， 结合图 1和图 2所示， 该方法包括如下步骤 S31至步骤 S39。
[0040] 步骤 S31， 医疗检査影像获取模块 101每隔预设吋间査询 PACS数据库 2中的医疗 检査影像。 在本实施例中， 所述预设吋间可以根据医院内业务量来确定， 例如 可以预先设置为 30秒， 也可以设置为 2分钟， 即每隔 30秒或 2分钟刷新一次 PACS 数据库 2的中医疗检査影像。
[0041] 步骤 S32， 医疗检査影像获取模块 101判断 PACS数据库 2中是否有新增医疗检査 影像。 在本实施例中， 医疗检査影像获取模块 101通过检査医疗检査影像的状态 标记判断 PACS数据库 2中是否有新增医疗检査影像。 所述状态标记包括已读状 态标记 （例如标记为 "Y") 和未读状态标记 （例如标记为 "N") 。 当 PACS数据库 2中的医疗检査影像的状态标记为未读状态标记， 说明该医疗检査影像还未被医 疗检査影像获取模块 101读取处理。 若 PACS数据库 2中有新增医疗检査影像， 则 流程执行步骤 S33; 若 PACS数据库 2中没有新增医疗检査影像， 则流程返回步骤 S31。
[0042] 步骤 S33， 当 PACS数据库中有新增医疗检査影像吋， 医疗检査影像获取模块 10
1读取新增医疗检査影像并将新增医疗检査影像的状态标记更新为已读状态标记 。 当 PACS数据库 2中的医疗检査影像已被读取并分配到医生工作站 3供医生看片 吋， 医疗检査影像获取模块 101将医疗检査影像的状态标记修改为已读状态标记 ， 防止该医疗检査影像再次被读取。
[0043] 步骤 S34， 医疗检査影像识别模块 102从新增医疗检査影像中识别出患者对应的 患者编号和影像检査编号， 并根据影像检査编号确定新增医疗检査影像对应的 医院检査科室。 通常， 医院在为患者做影像检査吋， 每做一次检査都会生成一 个唯一的患者编号和影像检査编号， 在医疗设备摄取患者的医疗检査影像吋一 同被记录至患者的医疗检査影像中。 所述患者编号和影像检査编号均由数字和 字母编号组成， 其中， 患者编号可以包括姓名、 性别、 手机号、 出生年月等信 息， 影像检査编号可以包括患者检査部位代码以及医院流水号， 患者检査部位 代码对应有医院检査科室的代码。 在本实施例中， 医疗检査影像识别模块 102利 用现有的 OCR识别技术从新增医疗检査影像中识别出影像检査编号， 并根据识 别出的影像检査编号确定新增医疗检査影像对应的医院检査科室。
[0044] 步骤 S35， 医疗检査影像处理模块 103将新增医疗检査影像进行无失真去除噪声 滤波处理来清除新增医疗检査影像中的杂质得到无噪声医疗影像。 在本实施例 中， 医疗检査影像处理模块 103采用高斯滤波函数将新增医疗检査影像进行无失 真去除噪声滤波处理来清除新增的影像的医疗检査影像杂质得到无噪声医疗影 像， 从而提高医生对医疗检査影像进行检査的准确性， 有利于疾病诊断的准确 性， 减少医疗事故失误的发生。
[0045] 步骤 S36， 医疗检査影像处理模块 103将无噪声医疗影像进行灰度分层处理得到 送检医疗影像， 以增强医疗检査影像的分层显示效果。 在本实施例中， 所述灰 度分层处理也称谓密度分层处理， 包括将所述无噪声医疗影像按灰度分割成不 同的区域并对每个区域进行色彩赋值处理， 从而使所述无噪声医疗影像达到分 层显示的效果。 在本实施例中， 经过灰度分层处理后的送检医疗影像更能够明 显地显示出医疗检査影像上的人体器官情况， 例如心脏的组织结构、 尺寸大小 、 外形轮廓以及纹理分布等， 从而进一步辅助医生提高医生对医疗检査影像进 行检査的准确性。
[0046] 步骤 S37， 医疗检査影像分发模块 104将患者编号以及送检医疗影像发送至医院 检査科室的医生工作站 3供医生对患者进行医学检査。 在本实施例中， 医生可以 在医生工作站 3上对送检医疗影像做出诊断报告， 可及吋有效地指导临床工作站 中医生的临床工作， 提高了诊断与临床工作的灵活性与配合力度， 提高医院的 工作效率。
[0047] 参考图 4所示， 图 4是图 3中步骤 S37的细化子流程图。 在本实施例中， 步骤 S37 包括如下步骤 S371至步骤 S375。
[0048] 步骤 S371， 任务状态监控模块 1041实吋监控医院检査科室中每一台医生工作站 3的任务状态。 在本实施例中， 所述任务状态包括空闲状态 （例如标记为 "F"状态 ) 和工作状态 （例如标记为 "B"状态） 。 每一台医生工作站 3的任务状态记录在 一个任务状态表中， 该任务状态表存储在云服务器的存储单元 13中， 所述任务 状态表存储有每一台医生工作站 3的 IP地址和任务状态。 [0049] 步骤 S372， 任务状态监控子模块 1041判断医院检査科室是否存在任务状态为空 闲状态的医生工作站 3。 在本实施例中， 所述任务状态监控子模块 1041通过检査 任务状态表中每一台医生工作站 3的任务状态来判断是否有任务状态为空闲状态 的医生工作站 3。 若医院检査科室存在空闲状态的医生工作站 3， 则流程执行步 骤 S372; 若医院检査科室存在空闲状态的医生工作站 3， 则流程返回步骤 S371。
[0050] 步骤 S373， 当医院检査科室存在空闲状态的医生工作站 3吋， 医疗检査影像发 送子模块 1042读取一个空闲状态的医生工作站 3的 IP地址， 并将该医生工作站 3的 任务状态修改为工作状态。 在本实施例中， 医疗检査影像发送子模块 1042从任 务状态记录表中获取一个空闲状态的医生工作站 3的 IP地址， 同吋在任务状态记 录表中将该医生工作站 3的任务状态修改为工作状态， 例如， 将该医生工作站 3 的任务状态标记为" B"状态。
[0051] 步骤 S374， 医疗检査影像发送子模块 1042根据读取的 IP地址将患者编号以及送 检医疗影像发送至该 IP地址对应的医生工作站 3供医生对患者进行医学检査。 在 本实施例中， 医生可以在医生工作站 3上对医疗检査影像做出诊断报告， 可及吋 有效地指导临床工作站中医生的临床工作， 提高了诊断与临床工作的灵活性与 配合力度， 提高医院的工作效率。
[0052] 步骤 S375， 当接收到从医生工作站 3发出的完成检査送检医疗影像的通知消息 吋， 任务状态修改子模块 1043将该医生工作站 3的任务状态修改为空闲状态。 在 本实施例中， 当医生在医生工作站 3上对医疗检査影像完成检査吋， 可以通过医 生工作站 3的输入设备 （例如键盘或鼠标） 输入完成检査送检医疗影像的通知消 息。 当云服务器 1接收到任意一台医生工作站 3发出的完成检査送检医疗影像的 通知消息吋， 任务状态修改子模块 1043在任务状态表将该医生工作站 3的任务状 态修改为空闲状态， 例如， 将该医生工作站 3的任务状态修改为" F"状态。
[0053] 本发明所述区域医疗检査影像在线处理系统及方法可以将 PACS数据库 2接收的 医疗检査影像进行在线处理， 提高医生对医疗检査影像进行检査的准确性， 有 利于疾病诊断的准确性， 减少医疗事故失误的发生； 可以在线分发 PACS数据库 2的中医疗检査影像， 及吋有效地把医疗检査影像合理分配给医生工作站 3， 使 医生可以及吋地对医疗检査影像进行分析并做出诊断报告， 相比传统的人力传 送节省了人力资源也节省了医生诊断的吋间， 提高了医生诊断的效率， 具有很 好的实用性。 此外， 医生可以医生工作站 3上对医疗检査影像做出诊断报告， 可 及吋有效地指导医生的临床工作， 提高了诊断与临床工作站的灵活性与配合力 度， 提高医院的工作效率。
[0054] 本领域技术人员可以理解， 上述实施方式中各种方法的全部或部分步骤可以通 过相关程序指令完成， 该程序可以存储于计算机可读存储介质中， 存储介质可 以包括： 只读存储器、 随机存储器、 磁盘或光盘等。
[0055] 以上仅为本发明的优选实施例， 并非因此限制本发明的专利范围， 凡是利用本 发明说明书及附图内容所作的等效结构或等效流程变换， 或直接或间接运用在 其他相关的技术领域， 均同理包括在本发明的专利保护范围内。
工业实用性
[0056] 相较于现有技术， 本发明所述区域医疗检査影像在线处理系统及方法可以将 P ACS数据库接收的医疗检査影像进行在线处理， 提高医生对医疗检査影像进行检 査的准确性， 有利于疾病诊断的准确性， 减少医疗事故失误的发生； 可以在线 分发 PACS数据库的中医疗检査影像， 及吋有效地把医疗检査影像合理分配给医 生工作站， 使医生可以及吋地对医疗检査影像进行分析并做出诊断报告， 相比 传统的人力传送节省了人力资源也节省了医生诊断的吋间， 提高了医生诊断的 效率， 具有很好的实用性。 此外， 医生可以医生工作站上对医疗检査影像做出 诊断报告， 可及吋有效地指导医生的临床工作， 提高了诊断与临床工作站的灵 活性与配合力度， 提高医院的工作效率。

Claims

权利要求书
[权利要求 1] 一种区域医疗检査影像在线处理系统， 运行于云服务器中， 该云服务 器连接有一个 PACS数据库和多个医生工作站， 其特征在于， 该系统 包括： 医疗检査影像获取模块， 用于每隔预设吋间査询 PACS数据库 中的医疗检査影像， 通过检査 PACS数据库中医疗检査影像的状态标 记来判断 PACS数据库中是否有新增医疗检査影像， 当 PACS数据库中 有新增医疗检査影像吋， 从 PACS数据库中读取新增医疗检査影像； 医疗检査影像识别模块， 用于从新增医疗检査影像中识别出患者对应 的患者编号和影像检査编号， 以及根据影像检査编号确定新增医疗检 査影像对应的医院检査科室； 医疗检査影像处理模块， 用于将新增医 疗检査影像进行无失真去除噪声滤波处理来清除新增医疗检査影像中 的杂质得到无噪声医疗影像， 将无噪声医疗影像进行灰度分层处理得 到送检医疗影像； 医疗检査影像分发模块， 用于将患者编号以及送检 医疗影像发送至医院检査科室的医生工作站供医生对患者进行医学检 査。
[权利要求 2] 如权利要求 1所述的区域医疗检査影像在线处理系统， 其特征在于， 所述医疗检査影像获取模块还用于当 PACS数据库中有新增医疗检査 影像吋， 将已读取的新增医疗检査影像的状态标记更新为已读状态标 记。
[权利要求 3] 如权利要求 1或 2所述的区域医疗检査影像在线处理系统， 其特征在于
， 所述每一台医生工作站的任务状态记录在一个任务状态表中， 所述 任务状态为空闲状态或工作状态， 所述任务状态表还记录有每一台医 生工作站的 IP地址， 所述任务状态表存储在云服务器的存储单元中。
[权利要求 4] 如权利要求 3所述的区域医疗检査影像在线处理系统， 其特征在于， 所述医疗检査影像分发模块包括： 任务状态监控子模块， 用于实吋监 控医院检査科室中每一台医生工作站的任务状态， 以及根据所述任务 状态表判断医院检査科室是否存在任务状态为空闲状态的医生工作站 ； 医疗检査影像发送子模块， 用于当医院检査科室存在空闲状态的医 生工作站吋， 读取一个空闲状态的医生工作站的 IP地址并将该医生工 作站的任务状态修改为工作状态， 以及根据读取的 IP地址将患者编号 以及送检医疗影像发送至该 IP地址对应的医生工作站供医生对患者进 行医学检査。
[权利要求 5] 如权利要求 4所述的区域医疗检査影像在线处理系统， 其特征在于， 所述医疗检査影像分发模块包括任务状态修改子模块， 该任务状态修 改子模块用于当接收到从任一台医生工作站发出的完成检査送检医疗 影像的通知消息吋， 在所述任务状态表中将该医生工作站的任务状态 修改为空闲状态。
[权利要求 6] —种区域医疗检査影像在线处理方法， 应用于云服务器中， 该云服务 器连接有一个 PACS数据库和多个医生工作站， 其特征在于， 该方法 包括如下步骤： 每隔预设吋间査询 PACS数据库中的医疗检査影像， 通过检査 PACS数据库中医疗检査影像的状态标记来判断 PACS数据库 中是否有新增医疗检査影像， 当 PACS数据库中有新增医疗检査影像 吋， 从 PACS数据库中读取新增医疗检査影像； 从新增医疗检査影像 中识别出患者对应的患者编号和影像检査编号， 并根据影像检査编号 确定新增医疗检査影像对应的医院检査科室； 将新增医疗检査影像进 行无失真去除噪声滤波处理来清除新增医疗检査影像中的杂质得到无 噪声医疗影像； 将无噪声医疗影像进行灰度分层处理得到送检医疗影 像； 将患者编号以及送检医疗影像发送至医院检査科室的医生工作站 供医生对患者进行医学检査。
[权利要求 7] 如权利要求 6所述的区域医疗检査影像在线处理方法， 其特征在于， 该方法还包括步骤： 当 PACS数据库中有新增医疗检査影像吋， 将已 读取的新增医疗检査影像的状态标记更新为已读状态标记。
[权利要求 8] 如权利要求 6或 7所述的区域医疗检査影像在线处理方法， 其特征在于
， 所述每一台医生工作站的任务状态记录在一个任务状态表中， 所述 任务状态为空闲状态或工作状态， 所述任务状态表还记录有每一台医 生工作站的 IP地址， 所述任务状态表存储在云服务器的存储单元中。
[权利要求 9] 如权利要求 8所述的区域医疗检査影像在线处理方法， 其特征在于， 所述将患者编号以及送检医疗影像发送至医院检査科室的医生工作站 供医生对患者进行医学检査的步骤包括如下步骤： 实吋监控医院检査 科室中每一台医生工作站的任务状态； 判断医院检査科室是否存在任 务状态为空闲状态的医生工作站； 当医院检査科室存在空闲状态的医 生工作站吋， 读取一个空闲状态的医生工作站的 IP地址并将该医生工 作站的任务状态修改为工作状态； 根据读取的 IP地址将患者编号以及 送检医疗影像发送至该 IP地址对应的医生工作站供医生对患者进行医 学检査。
[权利要求 10] 如权利要求 9所述的区域医疗检査影像在线处理方法， 其特征在于， 该方法还包括步骤： 当接收到从任一台医生工作站发出的完成检査送 检医疗影像的通知消息吋， 在所述任务状态表中将该医生工作站的任 务状态修改为空闲状态。
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Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108288499B (zh) * 2018-01-22 2021-08-06 东软医疗系统股份有限公司 一种自动分诊方法及装置
CN109036527A (zh) * 2018-06-21 2018-12-18 浙江格林蓝德信息技术有限公司 任务分发方法及相关装置
CN109036523B (zh) * 2018-09-04 2022-08-09 珠海横琴圣澳云智科技有限公司 查询病例id诊断信息的方法、装置、设备及存储介质
CN113035326B (zh) * 2021-02-26 2024-11-22 上海联影智能医疗科技有限公司 Pacs系统的信息处理方法、医学图像的处理方法及电子设备
CN113257402A (zh) * 2021-06-04 2021-08-13 王兆河 一种采集pacs系统影像胶片和影像检查报告的方法
CN117542485B (zh) * 2023-11-21 2024-05-10 江苏瑞康成医疗科技有限公司 一种影像检查的智慧处理方法及系统

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060195339A1 (en) * 2005-02-25 2006-08-31 Brent Backhaus Multiple resource planning system
US20100080427A1 (en) * 2008-09-29 2010-04-01 General Electric Company Systems and Methods for Machine Learning Based Hanging Protocols
CN101800769A (zh) * 2010-01-19 2010-08-11 北京新网医讯技术有限公司 一种基于dicom的电子胶片打印系统及方法
CN103121324A (zh) * 2013-02-06 2013-05-29 心医国际数字医疗系统(大连)有限公司 一种医疗影像集中打印的系统
CN105615832A (zh) * 2015-12-18 2016-06-01 深圳安泰创新科技股份有限公司 医疗影像数据采集方法及装置
CN205411152U (zh) * 2016-02-24 2016-08-03 无锡优赛科技有限公司 一种基于pacs的多模态影像辅助诊断系统
CN106355022A (zh) * 2016-08-31 2017-01-25 陕西渭南神州德信医学成像技术有限公司 显示方法和装置
CN106384449A (zh) * 2016-08-29 2017-02-08 合肥菲力姆数码科技有限公司 一种基于dicom的医疗影像喷墨打印系统
CN106510748A (zh) * 2016-10-30 2017-03-22 苏州市克拉思科文化传播有限公司 一种智能医疗成像设备

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060195339A1 (en) * 2005-02-25 2006-08-31 Brent Backhaus Multiple resource planning system
US20100080427A1 (en) * 2008-09-29 2010-04-01 General Electric Company Systems and Methods for Machine Learning Based Hanging Protocols
CN101800769A (zh) * 2010-01-19 2010-08-11 北京新网医讯技术有限公司 一种基于dicom的电子胶片打印系统及方法
CN103121324A (zh) * 2013-02-06 2013-05-29 心医国际数字医疗系统(大连)有限公司 一种医疗影像集中打印的系统
CN105615832A (zh) * 2015-12-18 2016-06-01 深圳安泰创新科技股份有限公司 医疗影像数据采集方法及装置
CN205411152U (zh) * 2016-02-24 2016-08-03 无锡优赛科技有限公司 一种基于pacs的多模态影像辅助诊断系统
CN106384449A (zh) * 2016-08-29 2017-02-08 合肥菲力姆数码科技有限公司 一种基于dicom的医疗影像喷墨打印系统
CN106355022A (zh) * 2016-08-31 2017-01-25 陕西渭南神州德信医学成像技术有限公司 显示方法和装置
CN106510748A (zh) * 2016-10-30 2017-03-22 苏州市克拉思科文化传播有限公司 一种智能医疗成像设备

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