CN-112089419-B - Medical imaging method and system, non-transitory computer readable storage medium

Abstract

The application provides a medical imaging method and system, and a non-transitory computer readable storage medium. The medical imaging method comprises identifying an image quality type of the medical image based on the trained learning network and generating a corresponding control signal for controlling the medical imaging system based on the identified image quality type.

Inventors

• WU DAN
• WANG KUN
• TANG WEINAN
• WANG LONGQING

Assignees

• 通用电气精准医疗有限责任公司

Dates

Publication Date

20260508

Application Date

20190529

Claims (16)

1. 1. A medical imaging method, comprising: Identifying an image quality type of the medical image based on the trained learning network, and Based on the identified image quality type, a corresponding control signal for controlling the medical imaging system is generated, Wherein the image quality type comprises one or more artifact types; Wherein when the medical image is identified as an acceleration artifact in the magnetic resonance image, a first control signal is generated to control the medical imaging system to issue a warning signal to adjust an acceleration factor, Wherein the image quality type comprises one or more non-artifact types.
2. 2. The method of claim 1, wherein prior to identifying the type of image quality in the medical image, further comprising receiving the medical image generated by the medical imaging system based on instructions of a user.
3. 3. The method of claim 1, wherein the learning network is trained based on a dataset of sample images and their corresponding image quality types.
4. 4. The method of claim 1, wherein identifying an image quality type of a medical image comprises analyzing a degree of matching of artifacts in the medical image to the one or more artifact types.
5. 5. The method of claim 4, wherein identifying an image quality type of a medical image further comprises outputting an artifact type that matches the medical image more than a preset value or matches within a preset ranking.
6. 6. The method of claim 1, wherein when the medical image is identified as a motion artifact in a magnetic resonance image, generating a second control signal to control the medical imaging system to issue a warning signal regarding the motion of the detection subject.
7. 7. The method of claim 1, wherein when the medical image is identified as nyquist artifact in a magnetic resonance image, generating a third control signal to control the medical imaging system to initiate a calibration mode.
8. 8. The method of claim 4, wherein when the medical image is identified as nyquist artifact in a magnetic resonance image and the degree of matching exceeds a preset threshold, generating a third control signal to control the medical imaging system to initiate a calibration mode.
9. 9. A non-transitory computer readable storage medium storing a computer program which, when executed by a computer, causes the computer to perform the medical imaging method of any of claims 1-8.
10. 10. A medical imaging system, comprising: An identification module for identifying an image quality type of a medical image generated by the medical imaging system based on a trained learning network, and A control module for generating a corresponding control signal for controlling the medical imaging system based on the identified image quality type, Wherein the image quality type comprises one or more artifact types; Wherein the control module comprises a first control unit for generating a first control signal based on the type of acceleration artifact in the magnetic resonance image output by the identification module to control the medical imaging system to emit a warning signal for adjusting an acceleration factor, Wherein the image quality type comprises one or more non-artifact types.
11. 11. The system of claim 10, further comprising: A training module for training the learning network based on the sample images and their corresponding data sets of image quality types.
12. 12. The system of claim 10, further comprising: A receiving module for receiving the medical image generated by the medical imaging system based on instructions of a user.
13. 13. The system of claim 10, wherein the identification module outputs artifacts in the medical image and a degree of matching of the artifacts to the one or more artifact types.
14. 14. The system of claim 10, wherein the control module comprises a second control unit for generating a second control signal based on motion artifacts in the magnetic resonance image output by the identification module for controlling the medical imaging system to issue a warning signal regarding the motion of the detection subject.
15. 15. The system of claim 10, wherein the control module includes a third control unit for generating a third control signal to control the medical imaging system to initiate a calibration mode based on nyquist artifacts in the magnetic resonance image output by the identification module.
16. 16. The system of claim 15, wherein the control module further comprises a matching degree comparing unit connected to the third control unit for comparing the matching degree output by the identification module with a preset threshold, and the third control unit generates the third control signal based on nyquist artifacts output by the identification module and the comparison result.

Description

Medical imaging method and system, non-transitory computer readable storage medium Technical Field The present invention relates to medical imaging technology, and more particularly to a medical imaging method and system, and a non-transitory computer readable storage medium. Background Magnetic Resonance Imaging (MRI) is a medical imaging modality that can obtain images of the human body without the use of X-rays or other ionizing radiation. MRI generates a static magnetic field B0 using a magnet having a strong magnetic field. When a region to be imaged of a human body is positioned in the static magnetic field B0, nuclear spins associated with hydrogen nuclei in human tissue generate polarization, so that the tissue of the region to be imaged macroscopically generates a longitudinal magnetization vector. When the radio frequency field B1 intersecting the direction of the static magnetic field B0 is applied, the direction of proton rotation is changed, so that the tissue of the region to be imaged macroscopically generates a transverse magnetization vector. After removal of the radio frequency field B1, the transverse magnetization vector decays in a spiral fashion until it returns to zero, during which a free induction decay signal is generated, which can be acquired as a magnetic resonance signal and based on which a tissue image of the region to be imaged can be reconstructed. In the imaging process, due to hardware problems such as equipment or human body motion and other factors, image quality problems (such as artifacts) of the reconstructed image are often caused, for example, nyquist (N/2) artifacts caused by short eddy currents with phase difference, acceleration artifacts caused by acceleration acquisition, motion artifacts caused by autonomous or involuntary motion of a human body in the acquisition process and the like, the artifacts can cause image quality degradation, the actual condition of a focus can not be accurately presented, and clinical diagnosis and analysis are difficult. In the actual operation process, when the medical image has the artifact to influence the diagnosis of a doctor, the type of the artifact needs to be judged according to experience by a field operator or a field engineer, then the reason of the artifact is judged according to the type of the artifact, and related operations are carried out, however, the type of the artifact can not be timely and accurately judged sometimes, and thus a lot of difficulties are brought to clinic. Disclosure of Invention The invention provides a medical imaging method and system, and a non-transitory computer readable storage medium. Exemplary embodiments of the present invention provide a medical imaging method comprising identifying an image quality type of a medical image based on a trained learning network and generating a corresponding control signal for controlling the medical imaging system based on the identified image quality type. Exemplary embodiments of the present invention also provide a non-transitory computer readable storage medium storing a computer program which, when executed by a computer, causes the computer to perform the above-described instructions for a medical imaging method. Exemplary embodiments of the present invention also provide a medical imaging system including an identification module and a control module. The identification module is used for identifying the image quality type of the medical image generated by the medical imaging system based on a trained learning network, and the control module is used for generating a corresponding control signal for controlling the medical imaging system based on the identified image quality type. Other features and aspects will become apparent from the following detailed description, the accompanying drawings, and the claims. Drawings The invention may be better understood by describing exemplary embodiments thereof in conjunction with the accompanying drawings, in which: FIG. 1 is a flow chart of a medical imaging method according to some embodiments of the invention; FIG. 2 is a schematic illustration of a medical image including Nyquist artifacts; FIG. 3 is a schematic illustration of a medical image including acceleration artifacts; FIG. 4 is a schematic diagram of a learning network according to some embodiments of the invention; FIG. 5 is a flow chart of generating corresponding control signals for controlling the medical imaging system based on the identified image quality type in the medical imaging method shown in FIG. 1; figure 6 shows a schematic diagram of a magnetic resonance imaging system according to some embodiments of the present invention; FIG. 7 shows a schematic diagram of a medical imaging system according to some embodiments of the invention, and Fig. 8 shows a schematic view of a medical imaging system according to further embodiments of the invention. Detailed Description In the following, specific embodiments of the present invention w