CN109147914B - Image reconstruction system - Google Patents

Image reconstruction system Download PDF

Info

Publication number
CN109147914B
CN109147914B CN201811203370.XA CN201811203370A CN109147914B CN 109147914 B CN109147914 B CN 109147914B CN 201811203370 A CN201811203370 A CN 201811203370A CN 109147914 B CN109147914 B CN 109147914B
Authority
CN
China
Prior art keywords
image
reconstruction
image reconstruction
data
medical
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201811203370.XA
Other languages
Chinese (zh)
Other versions
CN109147914A (en
Inventor
冯辉
杨隆梓
王素铭
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai United Imaging Healthcare Co Ltd
Original Assignee
Shanghai United Imaging Healthcare Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai United Imaging Healthcare Co Ltd filed Critical Shanghai United Imaging Healthcare Co Ltd
Priority to CN201811203370.XA priority Critical patent/CN109147914B/en
Publication of CN109147914A publication Critical patent/CN109147914A/en
Application granted granted Critical
Publication of CN109147914B publication Critical patent/CN109147914B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/40ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/20ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS

Abstract

The embodiment of the invention discloses an image reconstruction system, which comprises: at least two different types of medical image equipment and an image reconstruction server, wherein each medical image equipment is in communication connection with the image reconstruction server; the medical image equipment is used for collecting image data of a subject and sending the image data and an image reconstruction instruction to the image reconstruction server; the image reconstruction server is used for receiving the image data and the image reconstruction instruction sent by the medical image equipment, reconstructing an image of the image data according to the image reconstruction instruction, and sending the image formed by reconstruction to the medical image equipment; the medical image equipment is also used for receiving and displaying the image sent by the image reconstruction server. The image reconstruction system provided by the embodiment of the invention reduces the cost of image reconstruction and improves the speed of image reconstruction.

Description

Image reconstruction system
Technical Field
The embodiment of the invention relates to the field of medical imaging, in particular to an image reconstruction system.
Background
In the current medical imaging devices, such as computed tomography (computed tomography, CT), magnetic resonance imaging (magnetic resonance imaging, MRI), positron emission tomography (positron emission tomography, PET) or PET-CT, it is required to reconstruct the acquired data of the subject to form an image of the scan region, and the existing medical imaging devices include a control computer and a reconstruction computer, where the control computer controls the medical imaging device to acquire the image data of the subject, and then the control computer sends the acquired original data to the reconstruction computer, and the reconstruction computer completes the image reconstruction by the reconstruction algorithm, and the reconstruction computer transmits the image to the data center for storage after completing the image reconstruction. Therefore, the number of the reconstruction computers required by the existing image reconstruction mode is large, and the processing capacity of the reconstruction computer corresponding to each control computer is limited, so that the speed of image reconstruction is limited.
Disclosure of Invention
The embodiment of the invention provides an image reconstruction system, which is used for reducing the cost of image reconstruction and improving the speed of image reconstruction.
An embodiment of the present invention provides an image reconstruction system, including: at least two different types of medical image equipment and an image reconstruction server, wherein each medical image equipment is in communication connection with the image reconstruction server;
the medical image equipment is used for collecting image data of a subject and sending the image data and an image reconstruction instruction to the image reconstruction server;
the image reconstruction server is used for receiving the image data and the image reconstruction instruction sent by the medical image equipment, reconstructing an image of the image data according to the image reconstruction instruction, and sending the image formed by reconstruction to the medical image equipment;
the medical image equipment is also used for receiving and displaying the image sent by the image reconstruction server.
On the basis of the scheme, the image reconstruction server stores at least two transmission protocols, analyzes the transmission protocols according to the image reconstruction instructions to determine different image reconstruction types, the medical image equipment transmits the image data to the image reconstruction server according to the transmission protocols, and the image reconstruction server allocates corresponding reconstruction resources according to the reconstruction types to reconstruct the image data.
On the basis of the above scheme, the image reconstruction server includes:
the memory allocation module is used for receiving the image data and the image reconstruction instruction sent by the medical image equipment and allocating reconstruction resources for the image reconstruction instruction according to the type of the image equipment contained in the image reconstruction instruction;
and the image reconstruction module is used for executing the image reconstruction instruction according to the reconstruction resources distributed by the memory distribution module, generating an image corresponding to the image reconstruction instruction, and transmitting the image formed by reconstruction to the medical image equipment.
Based on the above scheme, the memory allocation module is further configured to:
and distributing reconstruction resources for each medical image device according to the communication connection state of each medical image device and the image reconstruction server.
Based on the above scheme, the memory allocation module is configured to:
and determining the number of the medical image devices in a connection state with the image reconstruction server, and distributing reconstruction resources for each medical image device connected with the image reconstruction server according to the number of the medical image devices.
On the basis of the scheme, the image reconstruction module comprises:
the data processing unit is used for carrying out data preprocessing on the image data according to the image reconstruction instruction and sending the preprocessed data to the image reconstruction unit;
and the image reconstruction unit is used for reconstructing the image of the preprocessed data according to the image reconstruction instruction, generating a reconstructed image and transmitting the image to the medical image equipment.
On the basis of the scheme, the data processing unit is used for:
and determining a data preprocessing algorithm corresponding to the image reconstruction instruction according to the image reconstruction instruction, preprocessing the image data according to the data preprocessing algorithm, and sending the preprocessed data to an image reconstruction unit.
On the basis of the above scheme, the image reconstruction server includes:
and the image storage module is used for correspondingly storing the image data, the image reconstruction instruction and the reconstructed image after performing image reconstruction on the image data according to the image reconstruction instruction.
On the basis of the scheme, the medical imaging device comprises:
the data acquisition module is used for acquiring image data of a subject and sending the image data to the data preprocessing module;
the data preprocessing module is used for preprocessing the image data sent by the data acquisition module according to a preset preprocessing algorithm and sending the preprocessed data and an image reconstruction instruction to the image reconstruction server.
On the basis of the scheme, the medical image equipment comprises an image receiving module and an image display device:
the image receiving module is used for receiving the image sent by the image reconstruction server and sending the image to the image display device;
the image display device is used for receiving and displaying the image sent by the image receiving module.
The image reconstruction system provided by the embodiment of the invention comprises at least two different types of medical image equipment and an image reconstruction server, wherein each medical image equipment is in communication connection with the image reconstruction server; the medical image equipment is used for collecting image data of a subject and sending the image data and an image reconstruction instruction to the image reconstruction server; the image reconstruction server is used for receiving the image data and the image reconstruction instruction sent by the medical image equipment, reconstructing an image of the image data according to the image reconstruction instruction, and sending the image formed by reconstruction to the medical image equipment; the medical image equipment is also used for receiving and displaying the image sent by the image reconstruction server. The image reconstruction server is used for completing image reconstruction of image data acquired by different types of medical image equipment, so that the cost of image reconstruction is reduced, and the speed of image reconstruction is improved.
Drawings
FIG. 1a is a schematic diagram of an image reconstruction system according to an embodiment of the present invention;
FIG. 1b is a schematic diagram of an image reconstruction system according to an embodiment of the present invention;
FIG. 2a is a schematic diagram of an image reconstruction system according to a second embodiment of the present invention;
FIG. 2b is a schematic diagram illustrating an operation flow of the image reconstruction system according to the second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an image reconstruction system according to a third embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Example 1
Fig. 1a is a schematic structural diagram of an image reconstruction system according to an embodiment of the present invention, where the present embodiment is applicable to a situation when performing medical image reconstruction using the image reconstruction system, and is particularly applicable to a situation when performing medical image reconstruction on image data acquired by each medical image device when having multiple types of medical image devices. As shown in fig. 1a, the image reconstruction system comprises: at least two different types of medical imaging devices 110 and an image reconstruction server 120, wherein each medical imaging device 110 is communicatively connected to the image reconstruction server 120;
the medical image device 110 is configured to collect image data of a subject, and send the image data and an image reconstruction instruction to the image reconstruction server 120;
the image reconstruction server 120 is configured to receive image data and an image reconstruction instruction sent by the medical image device 110, reconstruct an image of the image data according to the image reconstruction instruction, and send an image formed by reconstruction to the medical image device 110;
the medical imaging device 110 is further configured to receive and display an image sent by the image reconstruction server 120.
In this embodiment, in order to reduce the cost of the image reconstruction device, the image reconstruction operations corresponding to each medical image device 110 are all centralized in one image reconstruction server 120, so as to reconstruct and transmit the medical image in a unified manner.
Optionally, the image reconstruction system provided in the embodiment of the present invention is composed of multiple types of medical image devices 110 and an image reconstruction server 120, where each medical image device 110 and the image reconstruction server 120 are in communication connection, each medical image device 110 mainly completes collection and image display of image data of a subject, and the image reconstruction server 120 mainly performs image reconstruction on the image data collected by each medical image device 110.
Optionally, when medical image reconstruction is required, the medical image device 110 sends the acquired image data and the image reconstruction command to the image reconstruction server 120, and the image reconstruction server 120 reconstructs an image according to the image data and the image reconstruction command and transmits the reconstructed image to the medical image device 110, so that the medical image device 110 displays the reconstructed image.
Alternatively, the at least two different types of medical imaging devices may include, but are not limited to, two different types of medical imaging devices in a direct digital radiography system (Digital Radiography, DR), a computed tomography system (computed tomography, CT), a magnetic resonance imaging system (magnetic resonance imaging, MRI), a positron emission tomography system (positron emission tomography, PET), or a PET-CT. Optionally, the image reconstruction system may include one or more medical imaging devices 110 of the same type. The image reconstruction system may include a DR device and a CT device, for example. The image reconstruction system may also include, for example, a CT device, a magnetic resonance imaging device, and a PET-CT device. The image reconstruction system may also include, for example, a plurality of CT devices, a magnetic resonance imaging device, and a plurality of positron emission tomography devices.
Optionally, the medical imaging device 110 may send the acquired raw data (i.e. the original image data) of the subject, that is, the image reconstruction command, to the image reconstruction server 120, where the image reconstruction server 120 completes preprocessing, image reconstruction, and image post-processing of the original image data, and then sends the post-processed image to the medical imaging device 110, so that the medical imaging device 110 displays the post-processed image.
Optionally, the control computer of the medical imaging device 110 also has a certain data processing capability, and can complete the data preprocessing with a certain calculation amount on the medical imaging device 110. That is, when the data preprocessing computation amount is smaller, the data preprocessing of the original image data can be completed on the medical image device 110, the medical image device 110 sends the preprocessed data and the image reconstruction command to the image reconstruction server 120, the image reconstruction server 120 completes the image reconstruction and the image post-processing of the preprocessed data, and then sends the post-processed image to the medical image device 110, so that the medical image device 110 displays the post-processed image.
The image reconstruction system provided by the embodiment of the invention comprises at least two different types of medical image equipment and an image reconstruction server, wherein each medical image equipment is in communication connection with the image reconstruction server; the medical image equipment is used for collecting image data of a subject and sending the image data and an image reconstruction instruction to the image reconstruction server; the image reconstruction server is used for receiving the image data and the image reconstruction instruction sent by the medical image equipment, reconstructing an image of the image data according to the image reconstruction instruction, and sending the image formed by reconstruction to the medical image equipment; the medical image equipment is also used for receiving and displaying the image sent by the image reconstruction server. According to the image reconstruction system provided by the embodiment of the invention, the image reconstruction of the image data acquired by the medical image equipment of different types is completed by using one image reconstruction server, so that the cost of image reconstruction is reduced, and the speed of image reconstruction is improved.
On the basis of the above-described scheme, the image reconstruction server 120 includes:
and the image storage module is used for correspondingly storing the image data, the image reconstruction instruction and the reconstructed image after performing image reconstruction on the image data according to the image reconstruction instruction.
In this embodiment, after the reconstruction and the post-processing of the image are completed, the image reconstruction server may further store the post-processed image and the original data, so that other applications may process the image or view the post-image.
Fig. 1b is a schematic structural diagram of an image reconstruction system according to an embodiment of the present invention. The composition of the image reconstruction system is schematically shown in fig. 1 b. As shown in fig. 1b, the image reconstruction system is composed of each medical image device and an image reconstruction server 120b, wherein the medical image device is a CT device, an MRI device and a PET device, each medical image device is in communication connection with the image reconstruction system, after each medical image device collects image data, the image data is sent to the image reconstruction system 120b for image reconstruction, and the reconstructed image is stored in the image storage module 130b.
On the basis of the above scheme, the image reconstruction server 120 stores at least two transmission protocols, analyzes the transmission protocols according to the image reconstruction instruction to determine different image reconstruction types, and the medical image device 110 transmits the image data to the image reconstruction server according to the transmission protocols, and the image reconstruction server allocates corresponding reconstruction resources according to the reconstruction types to reconstruct the image data.
In this embodiment, at least two transmission protocols are stored in the image reconstruction server 120, so that when receiving image reconstruction instructions sent by different types of medical image devices, the image reconstruction server can analyze the transmission protocol corresponding to the medical image device according to the image reconstruction instructions to determine the image reconstruction type corresponding to the image reconstruction instructions.
Optionally, when the medical image device 110 sends image data to the image reconstruction server 120, the image reconstruction server 120 needs to transmit the image data according to a transmission protocol corresponding to the medical image device, after receiving an image reconstruction instruction and influence data sent by the medical image device 110, determine an image reconstruction type corresponding to the image reconstruction instruction according to the image reconstruction instruction and the transmission protocol, and then allocate reconstruction resources for the medical image device sending the image reconstruction instruction according to the determined image reconstruction type. Optionally, a corresponding relation between the image reconstruction type and the reconstruction resources may be preset, after the image reconstruction type is determined, the reconstruction resources are allocated to the medical image device according to the preset corresponding relation and the current allocable resources, so as to complete image reconstruction corresponding to the image reconstruction instruction.
Example two
Fig. 2a is a schematic structural diagram of an image reconstruction system according to a second embodiment of the present invention, in which an image reconstruction server is further embodied based on the above embodiment. As shown in fig. 2a, the image reconstruction server 120 includes:
the memory allocation module 121 is configured to receive image data and an image reconstruction instruction sent by the medical image device, and allocate reconstruction resources for the image reconstruction instruction according to an image device type included in the image reconstruction instruction;
the image reconstruction module 122 is configured to execute the image reconstruction instruction according to the reconstruction resources allocated by the memory allocation module 121, generate an image corresponding to the image reconstruction instruction, and send the reconstructed image to the medical image device.
In this embodiment, after receiving the image data and the image reconstruction instruction sent by the medical image device, the image reconstruction server 120 dynamically allocates reconstruction resources for the medical image device sending the image reconstruction instruction according to the load condition of the image reconstruction server 120, executes the image reconstruction instruction in the allocated reconstruction resources, completes image reconstruction of the image data, forms a reconstructed image, and sends the post-processed image to the medical image device after post-processing of the image, so that the medical image device displays the post-processed image.
Optionally, the image reconstruction server 120 may be specifically configured to include a memory allocation module 121 and an image reconstruction module 122, where dynamic allocation of reconstruction resources is completed in the memory allocation module 121, and image reconstruction and post-processing of image data are completed in the image reconstruction module 122.
Fig. 2b is a schematic diagram of an operation flow of the image reconstruction system according to the second embodiment of the present invention. As shown in fig. 2b, after the image console control data acquisition card in the medical image device acquires the image data, the image console control data acquisition card sends raw data to the cloud processor (i.e. the image reconstruction server), the preprocessing of the data, the image reconstruction and the post-processing of the image are completed in the load dynamically distributed by the image reconstruction server, and the post-processed image is sent to the image storage module and the image console, so that the image storage module stores the post-processed image, and the image console control console displays the post-processed image.
Optionally, the memory allocation module 121 is configured to:
and allocating reconstruction resources for each medical image device according to the communication connection state between each medical image device and the image reconstruction server 120.
In this embodiment, reconstruction resources may be dynamically allocated to the medical image device that sends the image reconstruction instruction according to the communication connection status between each medical image device and the image reconstruction server 120. Alternatively, the communication connection state may be connection and disconnection. After the medical image device and the image reconstruction server 120 successfully establish a communication connection, when the medical image device is closed, the communication connection between the medical image device and the image reconstruction server 120 is disconnected, and when the medical image device is restarted, the medical image device and the image reconstruction server 120 automatically establish the communication connection. Alternatively, whether the medical image device is in the working state may be determined according to the communication connection state between the medical image device and the image reconstruction server 120. When the communication connection state of the medical image device and the image reconstruction server 120 is connection, it is determined that the medical image device is in a working state. Or, when the communication connection state between the medical image device and the image reconstruction server 120 is disconnected, it is determined that the medical image device is not in the working state. According to the communication connection state of each medical image device and the image reconstruction server 120 and the load condition of the image reconstruction server 120, reconstruction resources are dynamically allocated for the medical image devices sending the image reconstruction instructions, so that the resources for completing image reconstruction can be allocated, further, the reconstruction resources for completing image reconstruction are flexible, the image reconstruction instructions of a plurality of medical image devices are completed on one image reconstruction server 120, the cost of image reconstruction is reduced, and the speed of image reconstruction is improved.
Based on the above scheme, the memory allocation module 121 is configured to:
the number of medical image devices connected with the image reconstruction server 120 is determined, and reconstruction resources are allocated to each medical image device connected with the image reconstruction server 120 according to the number of medical image devices.
Optionally, reconstruction resources may be allocated to each medical image device according to the number of medical image devices currently connected to the image reconstruction server 120. Alternatively, the number of medical image devices currently connected to the image reconstruction server 120 may be calculated at regular time, and the current allocable resources are allocated to each medical image device in the connected state according to the number. For example, if there are 5 medical image devices currently in connection with the image reconstruction server 120, the current allocatable resources are averaged to the 5 medical image devices in connection with the image reconstruction server 120.
In this embodiment, the reconstruction resources may also be dynamically allocated to the medical image device that sends the image reconstruction instruction according to the type of the medical image device. Alternatively, the medical imaging device may be of the type of a computed tomography device, a magnetic resonance imaging device, a positron emission tomography device, a PET-CT device or the like. After receiving the image reconstruction instruction sent by the medical image device, determining the device type of the medical image device sending the image reconstruction instruction according to the device identifier contained in the image reconstruction instruction, and then allocating reconstruction resources for the medical image device sending the image reconstruction instruction from the current allocable resources by combining the device types of the medical image devices connected with the image reconstruction server 120. Optionally, a correspondence between the device type and the size of the allocated reconstruction resource may be stored in advance, and the reconstruction resource may be allocated to the medical image device according to the stored correspondence in advance. The reconstruction resources are allocated to the medical image equipment according to the equipment type of the medical image equipment, so that the allocation of the reconstruction resources is more reasonable, and the utilization rate of the reconstruction resources is higher.
Optionally, the priority of each medical image device may be preset, and when different medical image devices send the image reconstruction instruction at the same time, reconstruction resources may be allocated to each medical image device that sends the image reconstruction instruction according to the priority stored in advance. When the time of the image reconstruction instruction sent by each medical image device is not at the same time, reconstruction resources can be allocated to each medical image device sending the image reconstruction instruction according to the time of sending the image reconstruction instruction.
On the basis of the above scheme, the image reconstruction module 122 includes:
the data processing unit is used for carrying out data preprocessing on the image data according to the image reconstruction instruction and sending the preprocessed data to the image reconstruction unit;
and the image reconstruction unit is used for reconstructing the image of the preprocessed data according to the image reconstruction instruction, generating a reconstructed image and transmitting the image to the medical image equipment.
In this embodiment, the image reconstruction server 120 may complete preprocessing of the original image data and reconstruction of the image. Alternatively, the image reconstruction module 122 may be embodied as a data processing unit in which data preprocessing of the image data is completed, and an image reconstruction unit in which image reconstruction of the processed data is completed. Optionally, the preprocessing of the image data in the image reconstruction server 120 can increase the speed of data preprocessing, thereby increasing the speed of image reconstruction.
Optionally, the data processing unit is configured to:
and determining a data preprocessing algorithm corresponding to the image reconstruction instruction according to the image reconstruction instruction, preprocessing the image data according to the data preprocessing algorithm, and sending the preprocessed data to an image reconstruction unit.
Optionally, after receiving an image reconstruction instruction sent by the medical image device, determining a data preprocessing algorithm and an image reconstruction algorithm to be executed according to the image reconstruction instruction, executing the corresponding data preprocessing algorithm in the data processing unit to complete data preprocessing of image data, and executing the corresponding image reconstruction algorithm in the image reconstruction unit to complete image reconstruction.
According to the technical scheme, the structure of the image reconstruction server is embodied on the basis of the embodiment, the image reconstruction server is embodied into a memory allocation module and an image reconstruction module, and the memory allocation module is used for receiving image data and an image reconstruction instruction sent by the medical image equipment and allocating reconstruction resources for the image reconstruction instruction according to the type of the image equipment contained in the image reconstruction instruction; and the image reconstruction module is used for executing the image reconstruction instruction according to the reconstruction resources distributed by the memory distribution module, generating an image corresponding to the image reconstruction instruction, and transmitting the image formed by reconstruction to the medical image equipment, so that the dynamic distribution of the reconstruction resources in the image reconstruction server is realized, the cost of image reconstruction is reduced, and the speed of image reconstruction is improved.
Example III
Fig. 3 is a schematic structural diagram of an image reconstruction system according to a third embodiment of the present invention, where a medical imaging device is further embodied based on the above embodiment. As shown in fig. 3, the medical imaging device 110 includes:
the data acquisition module 111 is configured to acquire image data of a subject, and send the image data to the data preprocessing module 112;
the data preprocessing module 112 is configured to perform data preprocessing on the image data sent by the data acquisition module 111 according to a preset preprocessing algorithm, and send the preprocessed data and an image reconstruction instruction to the image reconstruction server.
In this embodiment, the medical imaging device 110 may complete image data acquisition and data preprocessing. Alternatively, when the calculated amount of data preprocessing corresponding to the image reconstruction is within a certain threshold, the preprocessing of the data may be completed on the medical imaging device 110. Optionally, the data preprocessing may be preset at the medical image device 110 end or the image reconstruction server end, and a corresponding data preprocessing algorithm may be set at the corresponding data preprocessing end.
Optionally, when the data preprocessing is performed at the medical image device 110, after the data acquisition module 111 of the medical image device 110 completes the acquisition of the image data, the data preprocessing module 112 uses a preset preprocessing algorithm to preprocess the image data, and sends the preprocessed data to the image reconstruction server, so that the image reconstruction server completes the reconstruction of the image and the post-processing of the image.
In this embodiment, the preprocessing of data within the preset calculation amount threshold is completed at the medical image device 110 end, so that the computer resources of the medical image device 110 can be reasonably utilized, the resources of the image reconstruction server end are saved, the speed of image reconstruction is increased and the cost of image reconstruction is reduced on the premise of reasonably utilizing each device.
Based on the above scheme, the medical imaging device 110 includes an image receiving module and an image display device:
the image receiving module is used for receiving the image sent by the image reconstruction server and sending the image to the image display device;
the image display device is used for receiving and displaying the image sent by the image receiving module.
Optionally, the medical image device 110 may be embodied as an image receiving module and an image display device, so as to complete the receiving and displaying of the image. Optionally, the image receiving module receives the image sent by the image reconstruction server, and sends the image to the image display device for display. Alternatively, the image display device may be a display.
According to the technical scheme, the structure of the medical image equipment is embodied on the basis of the embodiment, the medical image equipment is embodied into the data acquisition module and the data preprocessing module, and the data acquisition module is used for acquiring image data of a subject and sending the image data to the data preprocessing module; the data preprocessing module is used for preprocessing the image data sent by the data acquisition module according to a preset preprocessing algorithm, and sending the preprocessed data and an image reconstruction instruction to the image reconstruction server, so that the preprocessing of the data on the medical image equipment is completed, the computer resources of the medical image equipment are reasonably utilized, the cost of image reconstruction is reduced, and the speed of image reconstruction is accelerated.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.

Claims (9)

1. An image reconstruction system, comprising: at least two different types of medical image equipment and an image reconstruction server, wherein each medical image equipment is in communication connection with the image reconstruction server;
the medical image equipment is used for collecting image data of a subject and sending the image data and an image reconstruction instruction to the image reconstruction server;
the image reconstruction server is used for receiving the image data and the image reconstruction instruction sent by the medical image equipment, reconstructing the image of the image data according to the image reconstruction instruction, and sending the reconstructed image to the medical image equipment;
the medical imaging device is further configured to receive and display the reconstructed image;
the image reconstruction server stores at least two transmission protocols, analyzes the transmission protocols according to the image reconstruction instructions to determine different image reconstruction types, the medical image equipment transmits the image data to the image reconstruction server according to the transmission protocols, and the image reconstruction server allocates corresponding reconstruction resources according to the reconstruction types to reconstruct the image data;
the image reconstruction server includes:
the memory allocation module is used for receiving the image data and the image reconstruction instruction sent by the medical image equipment and allocating reconstruction resources for the image reconstruction instruction according to the type of the image equipment contained in the image reconstruction instruction.
2. The system of claim 1, wherein the image reconstruction server further comprises:
and the image reconstruction module is used for executing the image reconstruction instruction according to the reconstruction resources distributed by the memory distribution module, generating an image corresponding to the image reconstruction instruction, and transmitting the image formed by reconstruction to the medical image equipment.
3. The system of claim 2, wherein the memory allocation module is further configured to:
and distributing reconstruction resources for each medical image device according to the communication connection state of each medical image device and the image reconstruction server.
4. The system of claim 3, wherein the memory allocation module is configured to:
and determining the number of the medical image devices in a connection state with the image reconstruction server, and distributing reconstruction resources for each medical image device connected with the image reconstruction server according to the number of the medical image devices.
5. The system of claim 1, wherein the image reconstruction module comprises:
the data processing unit is used for carrying out data preprocessing on the image data according to the image reconstruction instruction and sending the preprocessed data to the image reconstruction unit;
and the image reconstruction unit is used for reconstructing the image of the preprocessed data according to the image reconstruction instruction, generating a reconstructed image and transmitting the image to the medical image equipment.
6. The system of claim 5, wherein the data processing unit is configured to:
and determining a data preprocessing algorithm corresponding to the image reconstruction instruction according to the image reconstruction instruction, preprocessing the image data according to the data preprocessing algorithm, and sending the preprocessed data to an image reconstruction unit.
7. The system of claim 1, wherein the image reconstruction server comprises:
and the image storage module is used for correspondingly storing the image data, the image reconstruction instruction and the reconstructed image after performing image reconstruction on the image data according to the image reconstruction instruction.
8. The system of claim 1, wherein the medical imaging device comprises:
the data acquisition module is used for acquiring image data of a subject and sending the image data to the data preprocessing module;
the data preprocessing module is used for preprocessing the image data sent by the data acquisition module according to a preset preprocessing algorithm and sending the preprocessed data and an image reconstruction instruction to the image reconstruction server.
9. The system of claim 1, wherein the medical imaging device comprises an image receiving module and an image display device;
the image receiving module is used for receiving the image sent by the image reconstruction server and sending the image to the image display device;
the image display device is used for receiving and displaying the image sent by the image receiving module.
CN201811203370.XA 2018-10-16 2018-10-16 Image reconstruction system Active CN109147914B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811203370.XA CN109147914B (en) 2018-10-16 2018-10-16 Image reconstruction system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811203370.XA CN109147914B (en) 2018-10-16 2018-10-16 Image reconstruction system

Publications (2)

Publication Number Publication Date
CN109147914A CN109147914A (en) 2019-01-04
CN109147914B true CN109147914B (en) 2023-04-28

Family

ID=64812058

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811203370.XA Active CN109147914B (en) 2018-10-16 2018-10-16 Image reconstruction system

Country Status (1)

Country Link
CN (1) CN109147914B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110752010B (en) * 2019-09-25 2023-08-18 武汉联影医疗科技有限公司 Medical image storage system
CN110728731B (en) * 2019-10-11 2023-04-28 江苏赛诺格兰医疗科技有限公司 PET-CT system resource management method and PET-CT system
CN113808051A (en) * 2021-09-26 2021-12-17 武汉联影生命科学仪器有限公司 Multi-modal medical image reconstruction system and method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101316198A (en) * 2007-06-01 2008-12-03 中兴通讯股份有限公司 Monitoring method for multimedia data based on index
CN102946419A (en) * 2012-10-26 2013-02-27 北京奇虎科技有限公司 Picture server and picture data providing method
WO2014036499A1 (en) * 2012-08-30 2014-03-06 Truevision Systems, Inc. Imaging system and methods displaying a fused multidimensional reconstructed image
CN104182606A (en) * 2013-12-24 2014-12-03 中国科学院苏州生物医学工程技术研究所 PET/CT distributive software system and medical equipment
CN108182726A (en) * 2017-12-29 2018-06-19 努比亚技术有限公司 Three-dimensional rebuilding method, cloud server and computer readable storage medium

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8081842B2 (en) * 2007-09-07 2011-12-20 Microsoft Corporation Image resizing for web-based image search
CN104572293B (en) * 2013-10-29 2017-12-26 蓝网科技股份有限公司 The implementation method of medical image diagosis system based on BS structures
CN104318057A (en) * 2014-09-25 2015-01-28 新乡医学院第一附属医院 Medical image three-dimensional visualization system
CN108364321A (en) * 2017-01-26 2018-08-03 上海西门子医疗器械有限公司 Tomography reconstructing system and method
CN107240139A (en) * 2017-05-26 2017-10-10 上海联影医疗科技有限公司 A kind of image rebuilding method
CN107545136B (en) * 2017-08-15 2019-07-30 刘志鹏 Medical image processing method based on general purpose function
CN109191541B (en) * 2018-08-06 2023-08-25 沈阳晟诺科技有限公司 CT remote image reconstruction method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101316198A (en) * 2007-06-01 2008-12-03 中兴通讯股份有限公司 Monitoring method for multimedia data based on index
WO2014036499A1 (en) * 2012-08-30 2014-03-06 Truevision Systems, Inc. Imaging system and methods displaying a fused multidimensional reconstructed image
CN102946419A (en) * 2012-10-26 2013-02-27 北京奇虎科技有限公司 Picture server and picture data providing method
CN104182606A (en) * 2013-12-24 2014-12-03 中国科学院苏州生物医学工程技术研究所 PET/CT distributive software system and medical equipment
CN108182726A (en) * 2017-12-29 2018-06-19 努比亚技术有限公司 Three-dimensional rebuilding method, cloud server and computer readable storage medium

Also Published As

Publication number Publication date
CN109147914A (en) 2019-01-04

Similar Documents

Publication Publication Date Title
CN109147914B (en) Image reconstruction system
CN112671830B (en) Resource scheduling method, system, device, computer equipment and storage medium
US8004516B2 (en) Image processing system for volume rendering
CN100452067C (en) Medical image data transmission and three-dimension visible sysem and its implementing method
CN111450528B (en) Cloud game rendering service system, method and device
CN110941481A (en) Resource scheduling method, device and system
US20150154764A1 (en) Medical imaging apparatus, system and method for displaying medical images
DE112011101633T5 (en) Reorganization of storage tiers considering virtualization and dynamic resource allocation
CN113342534B (en) Graphics processing resource allocation method, device, equipment and storage medium
US8185904B2 (en) Image reconstruction system with multiple parallel reconstruction pipelines
CN106878389B (en) Method and device for resource scheduling in cloud system
US20230386102A1 (en) Systems and methods for image reconstruction
CN111445451A (en) Brain image processing method, system, computer device and storage medium
US10275907B2 (en) Method and system of managed image reconstruction in medical imaging
CN106821406A (en) Medical image system
US20210035285A1 (en) Case-adaptive medical image quality assessment
CN116126545B (en) Data extraction method, system, storage medium and equipment for resource scheduling
CN114489963A (en) Management method, system, equipment and storage medium of artificial intelligence application task
CN108984323B (en) Scheduling method and system for shared storage space
CN111724451A (en) Tomographic image reconstruction acceleration method, system, terminal and storage medium based on cloud computing
CN104424661A (en) Three-dimensional object display method and device
CN105913449A (en) Scanning data processing method and apparatus thereof
CN113689518A (en) Image reconstruction method and device, computer equipment and storage medium
CN110752010A (en) Medical image storage system
US20230409390A1 (en) Medical information processing system and medical information processing method, medical information processing service providing method, and program

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information

Address after: 201807 Shanghai City, north of the city of Jiading District Road No. 2258

Applicant after: Shanghai Lianying Medical Technology Co.,Ltd.

Address before: 201807 Shanghai City, north of the city of Jiading District Road No. 2258

Applicant before: SHANGHAI UNITED IMAGING HEALTHCARE Co.,Ltd.

CB02 Change of applicant information
GR01 Patent grant
GR01 Patent grant