Method, device and equipment for analyzing residual quantity of contrast agent and medium

Abstract

The invention relates to a contrast agent residual quantity analysis method, device and equipment and a medium. The contrast agent residual quantity analysis method comprises the following steps: acquiring contrast agent type information, contrast agent concentration information and target part information; according to the contrast agent type information, extracting a corresponding first physical parameter set from a preset database; determining an optimal imaging sequence; determining optimized imaging parameters according to the contrast agent concentration information and the imaging part information; determining an imaging mode of the magnetic resonance imaging equipment; and based on the imaging mode, scanning the target part and generating an imaging result, and calculating the corresponding residual amount of the contrast agent according to the imaging result. According to the system, the imaging mode of the magnetic resonance imaging equipment can be optimized according to the characteristics of different contrast agents and imaging parts, and the imaging accuracy is ensured. The imaging mode is selected based on the optimal imaging sequence and the optimized imaging parameters, so that the imaging quality and the contrast ratio can be improved, and the accuracy and the effectiveness of residual quantity detection are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of contrast agent residual analysis, and in particular to a contrast agent residual analysis method, device, equipment and medium. Background Art

[0002] At present, the existing contrast agent residual analysis methods have mentioned that the contrast agent can be selected from iron oxide contrast agents or gadolinium (Gd) contrast agents, and the residual amount is detected by magnetic resonance imaging (MRI). However, when faced with the differences in physical properties of different contrast agents (such as gadolinium and iron), the existing technology does not provide sufficient optimization for their relaxation characteristics and metabolic modes, resulting in the accuracy of the test results being affected, especially in the signal contrast and residual amount evaluation of different contrast agents. There are errors, and it is impossible to ensure consistent detection accuracy. Summary of the invention

[0003] In order to solve the problem in the prior art that the differences in physical properties of different contrast agents have not been fully optimized, resulting in insufficient accuracy of detection results, the present application provides a contrast agent residual analysis method, device, equipment and medium.

[0004] The above-mentioned invention objective of the present application is achieved through the following technical solutions: A method for analyzing the amount of residual contrast agent, comprising: Based on the drug label scanning device, contrast agent type information, contrast agent concentration information and target site information are obtained; According to the contrast agent type information, extracting a corresponding first physical parameter set from a preset database; Determining an optimal imaging sequence according to the first set of physical parameters and the target site information; Determining optimized imaging parameters according to the contrast agent concentration information and imaging site information; Determining an imaging mode of a magnetic resonance imaging device according to the optimal imaging sequence and the optimized imaging parameters; Based on the imaging mode, the target part is scanned and an imaging result is generated, and the corresponding residual amount of contrast agent is calculated according to the imaging result.

[0005] By adopting the above technical solution, it is possible to accurately obtain contrast agent type information, concentration information and imaging site information based on the drug label scanning device, thereby ensuring that the system can select the most suitable imaging sequence and imaging parameters under different types of contrast agents and their corresponding concentrations. By determining the optimal imaging sequence based on the extracted first physical parameter set and target site information, the system can optimize the imaging mode of the magnetic resonance imaging device according to the characteristics of different contrast agents and imaging sites to ensure the accuracy of imaging. At the same time, the selection of imaging mode based on the optimal imaging sequence and optimized imaging parameters can improve the quality and contrast of imaging, making the calculation of the residual amount of contrast agent more accurate, thereby improving the accuracy and effectiveness of residual amount detection.

[0006] Preferably, extracting the corresponding first set of physical parameters from a preset database according to the contrast agent type information comprises the following steps: extracting matching features from the contrast agent type information; According to the matching feature, extracting a corresponding second set of physical parameters from a preset database; Determine whether additional conditions of the magnetic resonance imaging device are obtained; if not, determine that the second physical parameter set is the first physical parameter set; if so, screen out corresponding key physical parameters from the first physical parameter set according to the additional conditions, and recombine the screened key physical parameters into the first physical parameter set.

[0007] By adopting the above technical solution, matching features can be accurately extracted according to the contrast agent type information, thereby extracting the corresponding second set of physical parameters from the preset database, ensuring that the system selects relevant physical parameters for different types of contrast agents. In addition, by determining whether additional conditions of the magnetic resonance imaging device are obtained, the system can automatically adjust the extracted parameter set to ensure that even when the imaging device has special requirements, the corresponding key physical parameters can still be screened out and recombined into the first set of physical parameters. Through this solution, imaging parameters can be dynamically adjusted according to the differences between the equipment and the contrast agent, thereby improving the adaptability and accuracy of the detection.

[0008] Preferably, the step of determining the optimal imaging sequence according to the first set of physical parameters and the target part information includes: Analyzing each key physical parameter in the first physical parameter set to generate a corresponding comparison parameter value; Determining weight coefficients of various contrast parameter values ​​according to the contrast agent type information, the contrast agent concentration information and the target site information; Adding the product of each of the comparison parameter values ​​and the corresponding weight coefficient to generate a corresponding comparison result; The corresponding optimal imaging sequence is determined according to the comparison result.

[0009] By adopting the above technical solution, it is possible to generate corresponding contrast parameter values ​​by analyzing each key physical parameter in the first physical parameter set, and determine the weight coefficient of each contrast parameter value according to the target site information. By multiplying and adding each contrast parameter value with the weight coefficient, a corresponding contrast result is generated, thereby ensuring that when selecting the optimal imaging sequence, the physical properties of different contrast agents and target sites can be optimally adjusted. This solution can effectively improve the accuracy of imaging sequence selection, ensure the matching of the selected imaging sequence with the contrast agent and the imaging site, and thus improve the accuracy of residual detection.

[0010] Preferably, in the step of analyzing each key physical parameter in the first physical parameter set to generate corresponding comparison parameter values, the first physical parameter set includes at least a relaxation time parameter set and a signal characteristic parameter set, and the comparison parameter values ​​include at least a first comparison value, a second comparison value and a third comparison value, and the step further includes: Comparing the sizes of the T relaxation parameter, the T relaxation parameter and the T* relaxation parameter in the relaxation time parameter set to generate a corresponding first comparison value; Comparing a signal strength parameter in the signal characteristic parameter set with a preset signal strength parameter to generate a corresponding second comparison value; The magnetic susceptibility parameter in the signal characteristic parameter set is compared with a preset magnetic susceptibility parameter to generate a corresponding third comparison value.

[0011] By adopting the above technical solution, the relaxation time parameter set and the signal characteristic parameter set in the first physical parameter set can be analyzed in detail, and the sizes of T1 relaxation time, T2 relaxation time and T2* relaxation time can be compared respectively to generate a first comparison value, and further compare the signal intensity and magnetic susceptibility parameters with the preset parameters to generate the second and third comparison values. This multi-level comparison analysis method can ensure that the differences in various parameters are fully considered, and through the generation of accurate comparison values, the selection of imaging parameters can be optimized, thereby ensuring that the most suitable imaging sequence can be selected for different types of contrast agents, thereby improving the accuracy of residual detection.

[0012] Preferably, the step of determining the optimized imaging parameters according to the contrast agent concentration information and the imaging site information includes: Determining an echo time parameter and / or a repetition time parameter according to the contrast agent concentration information; The corresponding tissue characteristics are determined according to the imaging part information, and the layer thickness parameters and the scanning angle parameters are determined according to the tissue characteristics.

[0013] By adopting the above technical solution, the echo time (TE) parameter, repetition time (TR) parameter, layer thickness parameter and scanning angle parameter can be determined according to the contrast agent concentration information and imaging site information. This method can fully consider the effect of contrast agent concentration on signal intensity in the process of optimizing imaging parameters, and select appropriate imaging parameters in combination with the tissue characteristics of the imaging site, thereby improving the contrast and clarity of the image. By optimizing these parameters, the accuracy of contrast agent residual detection can be improved, and signal interference and errors can be reduced during the imaging process, thereby improving imaging efficiency and detection reliability.

[0014] Preferably, the step of determining the imaging mode of the magnetic resonance imaging device according to the optimal imaging sequence and the optimized imaging parameters includes: Determining a preliminary mode according to the optimal imaging sequence and the optimized imaging parameters; Obtain imaging feedback information in real time; Analyze the imaging feedback information to determine whether an error point occurs; If the error point occurs, determine to adjust the imaging parameters, the adjusted imaging parameters are used to adjust the optimized imaging parameters, and re-judge whether the error point occurs until the error point no longer occurs; If the error point no longer appears, the preliminary mode is determined to be the imaging mode.

[0015] By adopting the above technical solution, the preliminary imaging mode can be determined according to the optimal imaging sequence and optimized imaging parameters, and the quality of the generated image can be monitored by obtaining imaging feedback information in real time. If an error point occurs, the system can dynamically adjust the imaging parameters until all parameters in the imaging process can ensure that the image is correct. This solution can ensure the accuracy of the imaging mode through a loop feedback method, avoid image distortion or quality degradation, improve the accuracy of contrast agent residue detection and imaging stability, and thus still obtain accurate detection results in complex imaging environments.

[0016] The second object of the invention is achieved by the following technical solutions: A device for analyzing the amount of residual contrast agent, comprising: An acquisition module, used for acquiring contrast agent type information, contrast agent concentration information and target site information based on a drug label scanning device; An extraction module, configured to extract a corresponding first set of physical parameters from a preset database according to the contrast agent type information; A first determination module, configured to determine an optimal imaging sequence according to the first set of physical parameters and the target part information; A second determination module is used to determine the optimized imaging parameters according to the contrast agent concentration information and the imaging site information; A third determination module is used to determine an imaging mode of a magnetic resonance imaging device according to the optimal imaging sequence and the optimized imaging parameters; A calculation module, used to scan the target part and generate an imaging result based on the imaging mode, and calculate the corresponding contrast agent residual amount according to the imaging result; The third objective of the present application is achieved through the following technical solutions: A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned contrast agent residual analysis method when executing the computer program.

[0017] The fourth objective of the present application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned contrast agent residual analysis method are implemented.

[0018] In summary, the present application includes at least one of the following beneficial technical effects: Through the drug label scanning device, the information of contrast agent type, concentration and target imaging site is obtained to ensure that each test is based on accurate input information. Then, according to the type information of the contrast agent, the corresponding set of physical parameters is extracted from the preset database, and the optimal imaging sequence is determined in combination with the target site information, so as to select the appropriate imaging mode for the physical properties of different contrast agents (such as relaxation time, signal intensity, etc.). Then, based on the concentration of the contrast agent and the imaging site information, the specific imaging parameters (such as echo time, repetition time, etc.) are further optimized to make the imaging results clearer. Through these optimized imaging sequences and parameters, the system can dynamically adjust the imaging mode to ensure the generation of accurate images during magnetic resonance imaging, and calculate the residual amount of contrast agent based on the imaging results, thereby greatly improving the accuracy and reliability of the detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flow chart of a contrast agent residual analysis method in one embodiment of the present application.

[0020] Figure 2 is a flowchart for implementing step S20 in a method for analyzing residual amount of contrast agent in an embodiment of the present application; Figure 3 is a flowchart for implementing step S30 in a method for analyzing residual amount of contrast agent in one embodiment of the present application; Figure 4is another implementation flow chart of step S301 in a method for analyzing residual amount of contrast agent in one embodiment of the present application; Figure 5 is a flowchart for implementing step S40 in a method for analyzing residual amount of contrast agent in an embodiment of the present application; Figure 6 is a flowchart for implementing step S50 in a method for analyzing residual amount of contrast agent in an embodiment of the present application; Figure 7 This is a principle block diagram of a device for analyzing residual amount of contrast agent in one embodiment of the present application; Figure 8 It is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION

[0021] The present application is further described in detail below in conjunction with the accompanying drawings.

[0022] In one embodiment, if Figure 1 As shown, the present application discloses a method for analyzing the residual amount of contrast agent, which specifically includes the following steps: A method for analyzing residual amount of contrast agent, comprising: S10. Based on the drug label scanning device, the contrast agent type information, contrast agent concentration information and target site information are obtained; in this embodiment, based on the drug label scanning device, the contrast agent type information, contrast agent concentration information and target site information are obtained; the drug label scanning device is used to obtain relevant information of the contrast agent injected by the patient, including the specific type of contrast agent (such as gadolinium or iron), the injection concentration and the target site of imaging. This information is automatically read by the scanning device. The code or data on the drug label is entered into the system. Through this step, it can be ensured that the system performs personalized imaging parameter optimization and residual amount detection according to the type of contrast agent used by each patient, the injection dose and the imaging site, thereby improving the accuracy of imaging and the accuracy of the test results.

[0023] S20. According to the contrast agent type information, extract the corresponding first set of physical parameters from the preset database; in this embodiment, according to the contrast agent type information, extract the corresponding first set of physical parameters from the preset database; the first set of physical parameters includes physical property data related to the selected contrast agent, such as T1 relaxation time, T2 relaxation time, signal intensity and magnetic sensitivity. These physical parameters are extracted from a preset database, which stores different types of contrast agents and their corresponding physical properties. By extracting these parameters, a scientific basis can be provided for subsequent imaging sequence selection and parameter optimization, so that the imaging process can be optimized for different types of contrast agents, thereby improving the quality of imaging and the accuracy of contrast agent residual analysis.

[0024] S30, determining the optimal imaging sequence according to the first set of physical parameters and the target site information; in this embodiment, determining the optimal imaging sequence according to the first set of physical parameters and the target site information; this step selects the imaging sequence that best suits the current contrast agent and imaging site by comparing the extracted physical parameters of the contrast agent (such as relaxation time, signal intensity, etc.) and the characteristics of the target imaging site (such as organ type, tissue density, etc.). For example, for gadolinium agents, a T1-weighted imaging sequence is usually selected because its T1 relaxation time is short and it can present a stronger signal in T1-weighted imaging, while for iron agents, a T2-weighted imaging sequence may be selected. By selecting this optimal imaging sequence, the signal of the contrast agent in the image can be most obvious, ensuring that the detection of the residual amount is more accurate.

[0025] S40. Determine the optimized imaging parameters according to the contrast agent concentration information and the imaging site information; in this embodiment, determine the optimized imaging parameters according to the contrast agent concentration information and the imaging site information; this step further optimizes the imaging parameters according to the contrast agent concentration and the specific characteristics of the imaging site. The concentration information is used to adjust the echo time (TE) and repetition time (TR) so that signal saturation does not occur under high concentration contrast agents, and signal capture can be effectively enhanced at low concentrations. The imaging site information is used to adjust the layer thickness and angle of the scan to adapt to the anatomical structure of different organs or tissues. For example, when imaging the liver, the system may select a thinner scanning layer thickness to enhance resolution, and when imaging larger organs, the layer thickness may be appropriately increased to cover a wider area. Through the optimization of these parameters, the contrast agent signal is clear and the image contrast is high during the imaging process, thereby improving the accuracy of the subsequent residual analysis.

[0026] S50. Determine the imaging mode of the magnetic resonance imaging device according to the optimal imaging sequence and the optimized imaging parameters; in this embodiment, determine the imaging mode of the magnetic resonance imaging device according to the optimal imaging sequence and the optimized imaging parameters; after selecting the optimal imaging sequence and adjusting the imaging parameters, this step integrates all information to determine the final imaging mode of the magnetic resonance imaging device. The imaging mode includes all specific imaging settings such as echo time, repetition time, layer thickness, scanning angle, etc., and is fine-tuned according to real-time feedback to ensure that all parameters are in the optimal state during the imaging process. For example, if the signal in some areas is weak or the image is blurred during the initial scan, the system will automatically adjust the parameters to ensure that the image quality meets the standard. Through the dynamic adjustment of this imaging mode, continuous optimization can be achieved during the imaging process to ensure the accuracy of the final imaging results.

[0027] S60. Based on the imaging mode, the target part is scanned and the imaging result is generated, and the corresponding contrast agent residue is calculated according to the imaging result. In the present embodiment, based on the imaging mode, the target part is scanned and the imaging result is generated, and the corresponding contrast agent residue is calculated according to the imaging result. This step scans the target part on the magnetic resonance imaging device and collects image data by executing the determined imaging mode. After the image data is generated, the system analyzes the signal performance of the contrast agent according to the imaging result, and calculates the actual residue of the contrast agent by comparing it with the preset contrast agent residue model. For example, the system will accurately calculate the contrast agent residue in the current target part according to the signal intensity and distribution in the image, combined with the relaxation characteristics of the contrast agent. Through this precise calculation method, reliable test results can be provided to doctors, which is helpful for the formulation of subsequent diagnosis and treatment decisions.

[0028] In summary, the contrast agent type information, concentration information and imaging site information can be accurately obtained based on the drug label scanning device, thereby ensuring that the system can select the most suitable imaging sequence and imaging parameters under different types of contrast agents and their corresponding concentrations. By determining the optimal imaging sequence based on the extracted first physical parameter set and target site information, the system can optimize the imaging mode of the magnetic resonance imaging device according to the characteristics of different contrast agents and imaging sites to ensure the accuracy of imaging. At the same time, the imaging mode selection based on the optimal imaging sequence and optimized imaging parameters can improve the quality and contrast of the imaging, making the calculation of the residual amount of contrast agent more accurate, thereby improving the accuracy and effectiveness of residual detection.

[0029] In one embodiment, if Figure 2 As shown, in step S20, extracting the corresponding first physical parameter set from the preset database according to the contrast agent type information includes the following steps: S201. Extract matching features from contrast agent type information; in this embodiment, extract matching features from contrast agent type information; matching features refer to key identifiers extracted from contrast agent type information that match various contrast agent features recorded in the database. These matching features usually include physical and chemical parameters such as chemical composition, molecular structure, relaxation time, and magnetic sensitivity of the contrast agent. This process is carried out by comparing the keywords or codes in the label information or record information of the contrast agent, thereby ensuring that the characteristics of the selected contrast agent can be accurately mapped to the corresponding records in the preset database. Through this step, it can be ensured that the system can extract the set of physical parameters most relevant to the contrast agent in subsequent steps, thereby ensuring the accuracy of the test results.

[0030] S202. According to the matching features, the corresponding second set of physical parameters is extracted from the preset database; in this embodiment, according to the matching features, the corresponding second set of physical parameters is extracted from the preset database; the extracted second set of physical parameters means that according to the type of contrast agent matched, the system extracts all physical property data related to the contrast agent from the preset database. This set usually includes parameters such as T1 relaxation time, T2 relaxation time, signal intensity, and magnetic sensitivity. These parameters can fully reflect the physical performance of the contrast agent in magnetic resonance imaging, ensuring that in the subsequent imaging sequence selection and parameter optimization, the specific contrast agent characteristics can be optimally adjusted. Through this step, the relevant physical data of the contrast agent can be integrated into the analysis process to improve the accuracy of imaging and residual detection.

[0031] S203, judging whether the additional conditions of the magnetic resonance imaging device are obtained, if not, determining that the second physical parameter set is the first physical parameter set, and if so, screening out the corresponding key physical parameters in the first physical parameter set according to the additional conditions, and recombining the screened key physical parameters into the first physical parameter set. In this embodiment, judging whether the additional conditions of the magnetic resonance imaging device are obtained, if not, determining that the second physical parameter set is the first physical parameter set, and if so, screening out the corresponding key physical parameters in the first physical parameter set according to the additional conditions, and recombining the screened key physical parameters into the first physical parameter set; the additional conditions may refer to technical parameters or imaging requirements related to a specific imaging device, such as the magnetic field strength of the device, imaging mode (such as T1-weighted imaging, T2-weighted imaging), etc. Different magnetic resonance imaging devices may have different technical characteristics, and these characteristics may affect the physical parameter performance of the contrast agent. For example, a stronger magnetic field may produce a more significant signal attenuation effect on a high magnetic sensitivity contrast agent. Therefore, if there are additional equipment conditions, the extracted second set of physical parameters needs to be further screened to select the key physical parameters that best reflect the performance of the contrast agent under the imaging conditions, such as relaxation time, magnetic susceptibility, etc. Through this screening step, it can ensure that the system only uses the most relevant physical parameters, improve the accuracy and efficiency of subsequent imaging, and avoid unnecessary interference factors; Furthermore, additional conditions can also refer to user interaction instructions, which means that the system will adjust the parameter selection during the imaging process according to the user's specific needs or concerns. This approach can enhance the flexibility of the system, especially under different detection requirements, allowing users to manually adjust certain imaging parameters to achieve specific imaging goals, specifically: S2031. Obtaining the user's interactive instructions as additional conditions; in this step, the system will determine the additional conditions based on the specific instructions input by the user. For example, the user may require that during the imaging process, more attention be paid to the amount of contrast agent residue in a specific area, the contrast of certain specific tissues be enhanced, or certain lesion sites be better displayed. By obtaining these instructions, the system can dynamically adjust the set of physical parameters according to the user's needs.

[0032] S2032. Adjust the priority of key physical parameters according to user instructions: The system will adjust the priority of the extracted key physical parameters according to the user's instructions. For example, if the user's instructions require that the distribution of contrast agent in soft tissue be focused on, the system will give priority to the T1 relaxation time parameter to ensure that the contrast agent signal can be more clearly expressed in soft tissue; if the user requires that the signal attenuation of the tissue be emphasized, the system will give priority to T2 or parameters related to T2 relaxation time. This method enables the system to dynamically adjust the performance of the contrast agent signal in a specific imaging site according to the needs of the user.

[0033] S2033. Determine the optimization parameters for a specific imaging area according to user instructions; in the user instructions, the user may specify that a specific imaging area requires a higher resolution or a larger scanning layer thickness. The system optimizes and adjusts the set of physical parameters according to these instructions. For example, if the user indicates that the precise imaging of the tumor site is of interest, the system will ensure that the imaging clarity of the tumor area meets the requirements by adjusting the layer thickness and scanning angle. The system will reorganize the physical parameters according to these adjustments to ensure that the imaging parameters can fully reflect the needs of the user.

[0034] For example, suppose the doctor wants to focus on the morphology and signal changes of the tumor when scanning the liver, so the doctor enters an instruction through the interactive interface to prioritize the optimization of signal enhancement at the tumor site. The system performs the following steps based on this additional condition: Get user instructions: The system detects the doctor's instructions to enhance the signal in the tumor area. Adjust physical parameters: According to the doctor's instructions, the system will prioritize adjusting parameters related to T1 relaxation time to ensure that the tumor area has a higher signal intensity in T1-weighted imaging, and adjust the layer thickness parameters to improve the resolution of local imaging. Determine the final parameter set: According to the user's needs, the system will apply the final optimized physical parameters to the scanning process to ensure that the tumor area that the doctor is concerned about has higher clarity and contrast in the imaging results.

[0035] In summary, matching features can be accurately extracted based on contrast agent type information, thereby extracting the corresponding second set of physical parameters from the preset database, ensuring that the system selects relevant physical parameters for different types of contrast agents. In addition, by determining whether additional conditions of the magnetic resonance imaging device are obtained, the system can automatically adjust the extracted parameter set to ensure that even when the imaging device has special requirements, the corresponding key physical parameters can still be screened out and recombined into the first set of physical parameters. Through this solution, imaging parameters can be dynamically adjusted according to differences in equipment and contrast agents, thereby improving the adaptability and accuracy of detection.

[0036] In one embodiment, if Figure 3 As shown, in step S30, i.e., the step of determining the optimal imaging sequence according to the first physical parameter set and the target part information, it includes: S301, analyzing each key physical parameter in the first physical parameter set to generate a corresponding contrast parameter value; in this embodiment, analyzing each key physical parameter in the first physical parameter set to generate a corresponding contrast parameter value; the key physical parameters in the first physical parameter set generally include T1 relaxation time, T2 or T2 relaxation time, signal intensity, magnetic susceptibility, etc. These physical parameters play an important role in determining the performance of contrast agents in magnetic resonance imaging. By analyzing each key physical parameter, the system can generate corresponding contrast parameter values, for example, the difference between T1 and T2 relaxation times will directly affect the selection of imaging sequences. The system quantifies these physical parameters to generate a set of values ​​for subsequent comparison and optimization of imaging sequences. For example, if the T1 relaxation time of a contrast agent is relatively short, the system will generate a corresponding lower T1 relaxation parameter value and use it together with other physical parameters for subsequent calculations.

[0037] S302. Determine the weight coefficients of each contrast parameter value according to the contrast agent type information, contrast agent concentration information and target site information; determine the weight coefficients of each contrast parameter value; in this embodiment, determine the weight coefficients of each contrast parameter value according to the target site information; this step determines the importance of each physical parameter in imaging according to the characteristics of the target imaging site, that is, assigns different weight coefficients. For example, when the imaging site is the brain, more attention may be paid to the T1 relaxation time, because T1 weighted imaging can better display the contrast of soft tissue. For areas with a high gas content such as the lungs, more attention may be paid to T2 or T2 relaxation time. Based on these imaging requirements, the system assigns higher weights to important parameters related to the imaging effect of the site to ensure that the selection of the imaging sequence can maximize the clarity and contrast of the image.

[0038] Furthermore, S302 further includes the following steps: S3021. Determine the preliminary weight coefficient according to the tissue type of the target imaging site. The system first determines the tissue type of the area according to the target imaging site, such as soft tissue (such as brain, liver) or different types of tissue such as bone. For soft tissue, T1 relaxation time is usually more concerned because T1-weighted imaging can provide better contrast; while for bones or parts with high gas content (such as lungs), T2 or T2 relaxation time has a more significant display effect on signal attenuation. Therefore, the system will assign a higher T1 weight to soft tissue areas and a higher T2 / T2 weight to bones or parts with high gas content. This process lays the foundation for subsequent steps, so that the preliminary weight coefficient is adapted to the specific tissue type.

[0039] S3022. Adjust the weight coefficient in combination with the contrast agent type information; after the weight coefficient is preliminarily determined, the system will further adjust it according to the type of contrast agent. For example, gadolinium usually enhances T1-weighted imaging, so when using gadolinium, the system will increase the T1 weight coefficient to ensure that the contrast agent appears clearer in the imaging. For iron agents, due to their high magnetic sensitivity and significant T2 relaxation time, the T2 weight coefficient will be increased when using iron agents, so that the contrast effect caused by signal attenuation can be better captured in the imaging. By combining the characteristics of the contrast agent type, the system can dynamically adjust the weight coefficients of each physical parameter so that the final imaging effect is more in line with the actual application scenario.

[0040] S3023. Further fine-tune the weight coefficient according to the contrast agent concentration information; the concentration of the contrast agent directly affects the strength of the signal, so the system needs to fine-tune the weight coefficient according to the concentration of the contrast agent. If the concentration is high, T1-weighted imaging may show a stronger signal enhancement effect, so the system will assign a higher weight coefficient to the T1 relaxation time in order to fully utilize the signal advantage of high-concentration contrast agents in T1 imaging. On the contrary, if the contrast agent concentration is low, it may be necessary to capture more signal attenuation information by extending the echo time (TE) or using T2 / T2-weighted imaging, so the weight coefficient of the T2 / T2 relaxation time will be increased accordingly. Through this concentration adjustment, the system can further optimize the imaging effect.

[0041] For example, suppose that the lungs need to be scanned, and the contrast agent injected is iron with a medium concentration. When determining the weight coefficient, the system will follow the following steps: According to the type of lung tissue: the lungs are areas with a high gas content, and signal attenuation is obvious in T2 / T2-weighted imaging, so the system initially assigns higher weights to T2 and T2 relaxation time (for example, T1 weight is 30%, T2 weight is 50%, and T2 weight is 20%); combined with the type of contrast agent: iron has a higher magnetic sensitivity, and signal attenuation will be more obvious in T2-weighted imaging, so the system further increases the weight of T2 (for example, T2 weight increases from 20% to 40%, T2 weight decreases to 40%, and T1 weight remains at 30%); because the concentration of the injected iron is medium, the system will slightly reduce the T2 weight (from 40% to 35%), while increasing the T2 weight to capture more signal attenuation information (for example, T2 weight increases from 40% to 45%); S303. Add the product of each contrast parameter value and the corresponding weight coefficient to generate a corresponding contrast result; in this embodiment, add the product of each contrast parameter value and the corresponding weight coefficient to generate a corresponding contrast result; in this step, the system multiplies each previously generated contrast parameter value with their weight coefficients, and then adds all the product values ​​to generate a total contrast result. The contrast result represents the comprehensive performance of each physical parameter under a specific imaging site and a specific contrast agent condition. The higher the value, the stronger the applicability of a certain imaging sequence under the condition. For example, if the product of the T1 relaxation time of a contrast agent and the weight coefficient of the imaging site is large, then in the subsequent imaging sequence selection, the priority of T1 weighted imaging may be higher. Through this weighted and calculated, the contrast agent characteristics and the actual needs of the imaging site can be better combined.

[0042] S304. Determine the corresponding optimal imaging sequence according to the comparison results. In the present embodiment, the corresponding optimal imaging sequence is determined according to the comparison results. Finally, the system automatically selects the optimal imaging sequence according to the comparison results generated in the aforementioned steps. This imaging sequence may be T1-weighted imaging, T2-weighted imaging, T2-weighted imaging or other sequences, depending on the high-weight physical parameters in the comparison results. For example, if the comparison result of the T1 relaxation time is high, the system will select the T1-weighted imaging sequence because the sequence can maximize the use of the physical properties of the contrast agent to generate images with the best contrast and clarity. Through this automatic selection process, it is possible to ensure that the imaging sequence is optimally matched with the contrast agent and the imaging site, thereby improving the imaging quality and the accuracy of the detection.

[0043] In summary, by analyzing each key physical parameter in the first physical parameter set, the corresponding contrast parameter value can be generated, and the weight coefficient of each contrast parameter value can be determined according to the target site information. By multiplying and adding each contrast parameter value with the weight coefficient, the corresponding contrast result is generated, thereby ensuring that when selecting the optimal imaging sequence, the physical properties of different contrast agents and target sites can be optimally adjusted. This solution can effectively improve the accuracy of imaging sequence selection, ensure the matching of the selected imaging sequence with the contrast agent and the imaging site, and thus improve the accuracy of residual detection.

[0044] In one embodiment, if Figure 4 As shown, in step S301, i.e., the step of analyzing each key physical parameter in the first physical parameter set to generate corresponding comparison parameter values, the first physical parameter set includes at least a relaxation time parameter set and a signal characteristic parameter set, and the comparison parameter values ​​include at least a first comparison value, a second comparison value and a third comparison value, and the step further includes: S3011, compare the T relaxation parameter, T relaxation parameter and T relaxation parameter in the relaxation time parameter set to generate a corresponding first contrast value; in this embodiment, compare the T relaxation parameter, T relaxation parameter and T relaxation parameter in the relaxation time parameter set to generate a corresponding first contrast value; relaxation time is a very critical physical parameter in magnetic resonance imaging, which reflects the time required for contrast agent molecules to return to equilibrium in an external magnetic field. T1 relaxation time is usually used for T1 weighted imaging, which can highlight the contrast effect of contrast agents in soft tissues; T2 and T2 relaxation times are mostly used for T2 and T2 weighted imaging, which can reflect the signal attenuation characteristics of contrast agents in different tissues. In this step, the system will compare the sizes of T1, T2 and T2 relaxation times respectively, and generate a first contrast value related to these parameters. The larger the contrast value, the more significant the performance of the relaxation time parameter under the current imaging conditions, which in turn affects the selection of the imaging sequence. For example, if the T1 relaxation time is short and the first contrast value is large, the system may give priority to T1 weighted imaging to improve image contrast.

[0045] S3012. Compare the signal strength parameter in the signal characteristic parameter set with the preset signal strength parameter to generate a corresponding second contrast value; in the present embodiment, compare the signal strength parameter in the signal characteristic parameter set with the preset signal strength parameter to generate a corresponding second contrast value; the signal strength reflects the response of the contrast agent to the radio frequency pulse during magnetic resonance imaging, and different contrast agents exhibit different signal strengths under different imaging sequences. In this step, the system compares the actual signal strength of the contrast agent under the current conditions with the preset signal strength to generate a second contrast value. If the actual signal strength is higher than the preset value, it means that the contrast agent performs better in this imaging mode and can produce higher contrast and clearer images. Through comparison, the system can effectively judge the impact of signal strength, and thus decide whether it is necessary to adjust the imaging parameters or imaging sequence to ensure moderate signal strength and optimal image quality.

[0046] S3013, compare the magnetic susceptibility parameters in the signal characteristic parameter set with the preset magnetic susceptibility parameters to generate a corresponding third contrast value. In this embodiment, the magnetic susceptibility parameters in the signal characteristic parameter set are compared with the preset magnetic susceptibility parameters to generate a corresponding third contrast value; magnetic susceptibility is the sensitivity of the contrast agent to the change of the magnetic field in the magnetic field. High magnetic susceptibility contrast agents (such as iron agents) usually produce significant signal attenuation in T2-weighted imaging, thereby producing a significant contrast effect. In this step, the system compares the magnetic susceptibility parameters of the contrast agent with the preset magnetic susceptibility parameters to generate a third contrast value. If the magnetic susceptibility of the contrast agent is strong and the third contrast value is high, the system may give priority to the T2-weighted imaging sequence because this sequence can best capture the effect of magnetic susceptibility on the signal and generate high-quality images. By comparing magnetic susceptibility, the system can optimize the imaging mode to ensure that the physical properties of the contrast agent are maximized, thereby improving the accuracy of residual detection.

[0047] In summary, the relaxation time parameter set and the signal characteristic parameter set in the first physical parameter set can be refined and analyzed, and the T1 relaxation time, T2 relaxation time and T2 relaxation time can be compared to generate a first comparison value, and the signal intensity and magnetic susceptibility parameters can be further compared with the preset parameters to generate the second and third comparison values. This multi-level comparison analysis method can ensure that the differences in various parameters are fully considered, and through the generation of accurate comparison values, the selection of imaging parameters can be optimized, thereby ensuring that the most suitable imaging sequence can be selected for different types of contrast agents, thereby improving the accuracy of residual detection.

[0048] Furthermore, In one embodiment, if Figure 5 As shown, in step S40, i.e., the step of determining the optimized imaging parameters according to the contrast agent concentration information and the imaging site information, the following steps are included: S401. Determine the echo time parameter and / or the repetition time parameter according to the contrast agent concentration information; in this embodiment, the echo time parameter and / or the repetition time parameter are determined according to the contrast agent concentration information; the concentration of the contrast agent directly affects the signal strength and recovery time in magnetic resonance imaging. When the concentration is high, the signal recovers faster, while when the concentration is low, the signal recovery time is relatively long. Therefore, the system adjusts the echo time (TE) and the repetition time (TR) according to the acquired contrast agent concentration information. If the contrast agent concentration is high, the system shortens the echo time to avoid signal oversaturation and ensure clear image contrast. If the contrast agent concentration is low, the echo time may need to be extended to enhance signal acquisition. Similarly, the adjustment of the repetition time is also to ensure that the signal recovery time matches the relaxation characteristics of the contrast agent. For example, when using a low-concentration contrast agent, extending the TR allows the contrast agent signal to fully recover, thereby improving the signal strength and imaging quality. By optimizing these parameters according to the contrast agent concentration information, it is possible to ensure that the signal intensity of imaging at different concentrations is moderate, ensure the contrast and clarity of the image, and thus improve the detection accuracy of the residual contrast agent.

[0049] S402, according to the imaging part information, determine the corresponding tissue characteristics, and determine the layer thickness parameters and scanning angle parameters according to the tissue characteristics. In this embodiment, according to the imaging part information, the corresponding tissue characteristics are determined, and according to the tissue characteristics, the layer thickness parameters and scanning angle parameters are determined; the tissue characteristics of the imaging part will directly affect the parameter setting of the magnetic resonance imaging. Different tissue types (such as muscle, fat, bone or soft tissue) show different signal characteristics in magnetic resonance imaging. The system first determines the tissue characteristics of the area according to the information of the imaging part, and adjusts the layer thickness and scanning angle according to these characteristics. For example, when the imaging target part is a complex tissue structure such as the brain or spinal cord, a thinner layer thickness (such as 12 mm) may be required to improve the resolution of the image and ensure that the tissue details can be clearly distinguished. When imaging large-area organs (such as lungs or liver), a thicker layer thickness may be selected to reduce the scanning time and cover a larger area. In addition, the selection of the scanning angle will also be optimized according to the tissue characteristics and anatomical structure. For example, for cross-sectional scanning of certain tissues, selecting the best scanning angle can avoid signal overlap and artifact generation, thereby improving the clarity of the imaging. By determining the layer thickness and scanning angle according to tissue characteristics, the system can maximize the imaging quality of different parts and ensure image contrast and detail clarity.

[0050] Furthermore, S40 further includes the following steps: S4021. Adjust the layer thickness parameters according to the complexity of the imaging part information; the system will first adjust the layer thickness parameters according to the complexity of the imaging part. For example, when imaging complex anatomical parts (such as the brain, heart, spinal cord, etc.), higher resolution is usually required to clearly display subtle anatomical structures. Therefore, in these cases, the system will select a thinner layer thickness (such as 12 mm) to ensure that each layer of the image can provide sufficient details. In addition, thin-layer imaging helps to reduce signal overlap and artifacts, and improve the accuracy and clarity of the image. For imaging of larger areas (such as the abdomen or lungs), the choice of layer thickness focuses on improving scanning efficiency. In these areas, the resolution requirements of fine structures are lower, so the system can select a thicker layer thickness (such as 58 mm), which can reduce scanning time while covering a larger range of tissues. This choice can improve efficiency and reduce radiation dose for patients without affecting the overall imaging quality.

[0051] S4022. Adjust the scanning angle parameters according to the anatomical structure in the imaging part information; the scanning angle is an important factor in determining the slice direction, and the system will adjust the scanning angle according to the anatomical structure of the imaging part. For example, for imaging of the brain or spinal cord, horizontal slices are usually required to ensure that the cross-sectional structure of the cerebral cortex or spinal cord can be clearly displayed. In these cases, the system will select a cross-sectional or axial angle to ensure that important anatomical structures can be displayed at the best angle. For cardiac imaging, the system may require multi-angle slices (such as short axis, long axis, and four-chamber heart slices) to capture the anatomical features of the heart under different sections. This multi-angle imaging can help doctors fully understand the morphology and function of the heart. In addition, for areas such as the abdomen or lungs, cross-sectional or coronal slices are usually used, and the selection of the scanning angle is mainly determined by the direction of the anatomical structure and the specific area that needs to be displayed. For example, coronal slices of the lungs can better display the structure of the upper and lower lobes, while cross-sectional slices are more suitable for showing the details of the trachea and bronchi.

[0052] S4023. Further fine-tune the layer thickness and scanning angle according to tissue characteristics and imaging requirements. After determining the basic layer thickness and scanning angle, the system will further fine-tune according to tissue characteristics and specific imaging requirements. For example, areas with high soft tissue and fluid content (such as the liver or cerebrospinal fluid) usually require higher resolution and thinner layer thickness to clearly display the contrast between tissues; while hard tissue areas such as bones can usually use thicker layer thicknesses because the density of bones varies significantly, and thicker layer thicknesses are sufficient to provide clear images. In addition, some complex pre-operative imaging requirements (such as tumor resection or neurosurgery) may require precise display of the anatomical details of the tissue. In these scenarios, the system will further reduce the layer thickness and adjust the scanning angle to provide the best imaging data.

[0053] In summary, the echo time (TE) parameter, repetition time (TR) parameter, layer thickness parameter and scanning angle parameter can be determined according to the contrast agent concentration information and imaging site information. This method can fully consider the effect of contrast agent concentration on signal intensity during the optimization of imaging parameters, and select appropriate imaging parameters in combination with the tissue characteristics of the imaging site, thereby improving the contrast and clarity of the image. By optimizing these parameters, the accuracy of contrast agent residual detection can be improved, and signal interference and errors can be reduced during the imaging process, thereby improving imaging efficiency and detection reliability.

[0054] In one embodiment, as shown in the figure, in step S50, i.e., the step of determining the imaging mode of the magnetic resonance imaging device according to the optimal imaging sequence and the optimized imaging parameters, the step includes: S501. Determine a preliminary mode based on the optimal imaging sequence and optimized imaging parameters; in this embodiment, determine the preliminary mode based on the optimal imaging sequence and optimized imaging parameters; the optimal imaging sequence is an imaging mode that is selected based on the physical properties of the contrast agent and the imaging site information, and can provide the best imaging effect, such as T1-weighted imaging or T2-weighted imaging. Optimized imaging parameters are parameters adjusted according to the contrast agent concentration and tissue characteristics, such as echo time (TE), repetition time (TR), layer thickness and scanning angle. Combining these two aspects, the system will preliminarily determine an imaging mode suitable for the current contrast agent and imaging site, namely the preliminary mode. This mode includes all necessary imaging parameter settings to ensure that the device can perform the first scan according to these settings. In this way, the imaging quality and signal accuracy can be maximized for specific contrast agents and imaging sites.

[0055] S502, real-time acquisition of imaging feedback information; In this embodiment, real-time acquisition of imaging feedback information; During the imaging process, the magnetic resonance imaging device will continuously collect feedback information, which includes image quality data, signal strength, contrast, noise level and other related parameters generated during the scanning process. By acquiring this feedback information in real time, the system can immediately understand whether the performance of the current imaging mode has achieved the expected goal and whether it is necessary to adjust the parameters. For example, if the device detects that the image noise is high or the signal strength in certain areas is too low, the system will obtain this feedback data and prepare for subsequent analysis and adjustment.

[0056] S503, analyzing the imaging feedback information to determine whether an error point occurs; in this embodiment, analyzing the imaging feedback information to determine whether an error point occurs; the system will perform a detailed analysis of the feedback information to determine whether an error point occurs during the imaging process. Error points usually refer to areas where artifacts, signal loss, or unclear images appear in the image, which may be caused by low signal strength, excessive noise, or mismatched scanning parameters. By analyzing the signal strength, contrast, and noise level in the feedback information, the system can automatically determine whether these problems exist in the image. For example, areas with uneven signals or blurred boundaries may be marked as error points, and the system will make further judgments and prepare adjustments.

[0057] S504, if an error point occurs, determine to adjust the imaging parameters, the imaging parameters are adjusted to adjust and optimize the imaging parameters, and re-judge whether an error point occurs until no error point occurs; in this embodiment, if an error point occurs, determine to adjust the imaging parameters, the imaging parameters are adjusted to adjust and optimize the imaging parameters, and re-judge whether an error point occurs until no error point occurs; when an error point is detected, the system will adjust the imaging parameters according to the feedback information, and the parameters usually adjusted include echo time (TE), repetition time (TR), layer thickness or scanning angle. The purpose of the adjustment is to correct the error point and make the imaging effect clearer. For example, if the signal intensity is detected to be low, the system may extend the echo time to enhance signal acquisition; if there are too many artifacts, the system may adjust the scanning angle or layer thickness to reduce artifacts. When the system completes the parameter adjustment, it will restart imaging and obtain new feedback information, and cyclically determine whether there are still error points until all points meet the imaging requirements. This step can ensure that the final imaging quality reaches the expected effect and the image has no obvious distortion or quality problems.

[0058] S505. If no more erroneous points appear, the preliminary mode is determined to be the imaging mode. In this embodiment, if no more erroneous points appear, the preliminary mode is determined to be the imaging mode; when the system confirms that there are no more erroneous points through multiple feedback analysis and parameter adjustment, the preliminary mode is determined to be the final imaging mode. This means that the imaging parameters of the system have been optimized and adjusted to generate the best image under the current conditions. At this point, the system will lock this imaging mode and start the formal imaging process. In this way, it is ensured that the final imaging results can accurately reflect the distribution of the contrast agent in the target area and provide high-quality image data for subsequent residual calculations.

[0059] Furthermore, step S502 further includes: S5021. Obtain imaging feedback information; imaging feedback information refers to the various imaging parameters and quality indicators obtained by the system in real time during the magnetic resonance imaging process. This information includes but is not limited to the following key parameters: Signal intensity: reflects the signal level of contrast agent or tissue in a specific area. Too low signal intensity may cause image blur, while too high signal intensity may cause signal saturation. Noise level: refers to the interference signal collected during the imaging process. Too high noise will affect the clarity of the image and cause artifacts. Image contrast: indicates the grayscale difference between different tissues or contrast agents in the image. Higher contrast can better distinguish different tissues or lesions. Image clarity: determined by the spatial resolution and signal-to-noise ratio of the image, and is used to evaluate the visibility of details in the image.

[0060] The system obtains this feedback information through the real-time monitoring module of the imaging device and transmits it to the central processing unit so that the imaging process can be adjusted based on this information. The signal strength and noise level are usually collected by the detection coil of the imaging device, while the image contrast and clarity are obtained by calculating the grayscale difference of the image and the edge detection algorithm.

[0061] S5022. Analyze the imaging feedback information and determine the error points. The system will determine whether there are error points in the image based on the analysis results of the feedback information. Error points usually refer to certain areas in the image that show incorrect information due to poor signal or noise interference. These areas may affect subsequent diagnosis or residual analysis. Specifically, the error points can be determined according to the following conditions: Artifacts: False signals that should not exist appear in the image, usually caused by movement, magnetic field inhomogeneity or equipment failure. Artifacts can cause the signal in certain areas to look abnormal. The system can identify artifacts by detecting repeated patterns or unnatural signal peaks in the image. Signal is too weak: The signal intensity in certain areas is too low, resulting in unclear display of tissue or contrast agent. This may be caused by insufficient contrast agent concentration, improper equipment parameters or poor scanning angle. The system will determine the area with too weak signal based on the local fluctuation of signal intensity or the intensity threshold. Signal saturation: The signal in certain areas is too strong, resulting in image saturation and inability to distinguish details. This usually occurs under high concentration of contrast agent or incorrect parameter settings. The system will determine the saturation point by detecting areas that exceed the upper limit of signal intensity.

[0062] S5023. Process erroneous points and adjust imaging parameters. Once the system identifies an erroneous point, it will automatically adjust the imaging parameters to resolve the signal problem in that area. The following are common adjustment methods: Artifact processing: If an artifact is detected, the system will first try to adjust the scanning angle or repetition time (TR) to avoid artifact generation caused by motion or equipment factors. If necessary, the system may rescan the area. Weak signal processing: When the signal in certain areas is too weak, the system can enhance signal acquisition by extending the echo time (TE) or increasing the signal gain. This ensures that areas with weaker signals are imaged more clearly. Signal saturation processing: For saturation problems caused by excessively strong signals, the system will reduce the signal gain, or adjust the dose of contrast agent and scanning parameters to ensure that the signal strength is within a reasonable range.

[0063] For example, suppose a doctor uses a magnetic resonance imaging device to scan the liver. The system obtains feedback information in real time during the imaging process: Signal strength feedback: In some areas of the liver, the system detects that the signal strength is too low, resulting in blurred liver tissue and inability to clearly distinguish the distribution of the contrast agent. This situation is determined by the system as a "too weak signal" error point. Noise level feedback: The system detects that there is obvious noise interference in some images, which may be caused by patient movement, resulting in artifacts at the liver boundary. This artifact area is marked as an "artifact" error point. Processing error points: Through analysis, the system first extends the echo time (TE) to enhance the strength of the weak signal area to ensure that the liver tissue is captured with sufficient signal. Then, the system readjusts the scanning angle to reduce the impact of motion artifacts and automatically rescans the area containing artifacts. Through these adjustments, the system ensures that the final image generated is clear and has no obvious error points.

[0064] In summary, the preliminary imaging mode can be determined based on the optimal imaging sequence and optimized imaging parameters, and the quality of the generated image can be monitored by obtaining imaging feedback information in real time. If an error point occurs, the system can dynamically adjust the imaging parameters until all parameters in the imaging process can ensure that the image is correct. This solution can ensure the accuracy of the imaging mode through a loop feedback method, avoid image distortion or quality degradation, improve the accuracy of contrast agent residue detection and imaging stability, and thus still obtain accurate detection results in complex imaging environments.

[0065] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0066] In one embodiment, a contrast agent residual amount analysis device is provided, and the contrast agent residual amount analysis device corresponds one-to-one to a contrast agent residual amount analysis method in the above embodiment. Figure 7 As shown, the contrast agent residual amount analysis device includes an acquisition module, an extraction module, a first determination module, a second determination module, a third determination module and a calculation module. The detailed description of each functional module is as follows: A device for analyzing the amount of residual contrast agent, comprising: An acquisition module, used for acquiring contrast agent type information, contrast agent concentration information and target site information based on a drug label scanning device; An extraction module, configured to extract a corresponding first set of physical parameters from a preset database according to the contrast agent type information; A first determination module, configured to determine an optimal imaging sequence according to the first set of physical parameters and the target part information; A second determination module is used to determine the optimized imaging parameters according to the contrast agent concentration information and the imaging site information; A third determination module is used to determine an imaging mode of a magnetic resonance imaging device according to the optimal imaging sequence and the optimized imaging parameters; A calculation module, used to scan the target part and generate an imaging result based on the imaging mode, and calculate the corresponding contrast agent residual amount according to the imaging result; Optionally, the extraction module includes: A first extraction unit, used to extract matching features from the contrast agent type information; A second extraction unit, configured to extract a corresponding second set of physical parameters from a preset database according to the matching feature; a judging unit, configured to judge whether the additional condition of the magnetic resonance imaging device is obtained, and if not, determine that the second physical parameter set is the first physical parameter set, and if so, select corresponding key physical parameters from the first physical parameter set according to the additional condition, and recombine the selected key physical parameters into the first physical parameter set; Optionally, the first determining module includes: An analysis unit, configured to analyze each key physical parameter in the first physical parameter set to generate a corresponding comparison parameter value; A first determination unit, configured to determine a weight coefficient of each contrast parameter value according to the contrast agent type information, the contrast agent concentration information and the target site information; A generating unit, used for adding the product of each of the comparison parameter values ​​and the corresponding weight coefficient to generate a corresponding comparison result; A second determining unit, configured to determine a corresponding optimal imaging sequence according to the comparison result; Optionally, the analysis unit includes: A first comparison subunit, used for comparing the magnitudes of the T1 relaxation parameter, the T2 relaxation parameter and the T2* relaxation parameter in the relaxation time parameter set to generate a corresponding first comparison value; A second comparison subunit, used for comparing the signal strength parameter in the signal characteristic parameter set with a preset signal strength parameter to generate a corresponding second comparison value; a third comparison subunit, configured to compare the magnetic susceptibility parameter in the signal characteristic parameter set with a preset magnetic susceptibility parameter to generate a corresponding third comparison value; Optionally, the second determining module includes: A third determination unit, configured to determine an echo time parameter and / or a repetition time parameter according to the contrast agent concentration information; A fourth determination unit, configured to determine corresponding tissue characteristics according to the imaging part information, and determine a layer thickness parameter and a scanning angle parameter according to the tissue characteristics; Optionally, the third determining module includes: a fifth determining unit, configured to determine a preliminary mode according to the optimal imaging sequence and the optimized imaging parameters; An acquisition unit, used for acquiring imaging feedback information in real time; An analysis unit, used to analyze the imaging feedback information to determine whether an error point occurs; A sixth determination unit, configured to determine, if the error point occurs, to adjust imaging parameters, wherein the adjusted imaging parameters are used to adjust the optimized imaging parameters, and to re-determine whether an error point occurs until the error point no longer occurs; The seventh determining unit is used to determine that the preliminary mode is an imaging mode if the erroneous point no longer appears.

[0067] For the specific definition of a contrast agent residual analysis device, please refer to the definition of a contrast agent residual analysis method mentioned above, which will not be repeated here. Each module in the above-mentioned contrast agent residual analysis device can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0068] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 8As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for analyzing the residual amount of contrast agent is implemented.

[0069] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: S10, obtaining contrast agent type information, contrast agent concentration information and target site information based on the drug label scanning device; S20, extracting a corresponding first physical parameter set from a preset database according to the contrast agent type information; S30, determining an optimal imaging sequence according to the first physical parameter set and target site information; S40, determining optimized imaging parameters according to the contrast agent concentration information and the imaging site information; S50, determining an imaging mode of a magnetic resonance imaging device according to an optimal imaging sequence and optimized imaging parameters; S60 . Based on the imaging mode, scan the target part and generate an imaging result, and calculate the corresponding residual amount of contrast agent according to the imaging result.

[0070] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: S10, obtaining contrast agent type information, contrast agent concentration information and target site information based on the drug label scanning device; S20, extracting a corresponding first physical parameter set from a preset database according to the contrast agent type information; S30, determining an optimal imaging sequence according to the first physical parameter set and target site information; S40, determining optimized imaging parameters according to the contrast agent concentration information and the imaging site information; S50, determining an imaging mode of a magnetic resonance imaging device according to an optimal imaging sequence and optimized imaging parameters; S60 . Based on the imaging mode, scan the target part and generate an imaging result, and calculate the corresponding residual amount of contrast agent according to the imaging result.

[0071] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0072] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0073] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for analyzing the residual amount of contrast agent, characterized in that: The contrast agent residual amount analysis method comprises: Based on the drug label scanning device, contrast agent type information, contrast agent concentration information and target site information are obtained; According to the contrast agent type information, extracting a corresponding first physical parameter set from a preset database; Determining an optimal imaging sequence according to the first set of physical parameters and the target site information; Determining optimized imaging parameters according to the contrast agent concentration information and imaging site information; Determining an imaging mode of a magnetic resonance imaging device according to the optimal imaging sequence and the optimized imaging parameters; Based on the imaging mode, the target part is scanned and an imaging result is generated, and the corresponding residual amount of contrast agent is calculated according to the imaging result.

2. A contrast agent residual analysis method according to claim 1, characterized in that: The step of extracting the corresponding first set of physical parameters from the preset database according to the contrast agent type information comprises the following steps: extracting matching features from the contrast agent type information; According to the matching feature, extracting a corresponding second set of physical parameters from a preset database; Determine whether additional conditions of the magnetic resonance imaging device are obtained; if not, determine that the second physical parameter set is the first physical parameter set; if so, screen out corresponding key physical parameters from the first physical parameter set according to the additional conditions, and recombine the screened key physical parameters into the first physical parameter set.

3. A contrast agent residual analysis method according to claim 1, characterized in that: The step of determining the optimal imaging sequence according to the first set of physical parameters and the target part information includes: Analyzing each key physical parameter in the first physical parameter set to generate a corresponding comparison parameter value; Determining weight coefficients of various contrast parameter values ​​according to the contrast agent type information, the contrast agent concentration information and the target site information; Adding the product of each of the comparison parameter values ​​and the corresponding weight coefficient to generate a corresponding comparison result; The corresponding optimal imaging sequence is determined according to the comparison result.

4. A contrast agent residual analysis method according to claim 3, characterized in that: In the step of analyzing each key physical parameter in the first physical parameter set to generate corresponding comparison parameter values, the first physical parameter set includes at least a relaxation time parameter set and a signal characteristic parameter set, and the comparison parameter values ​​include at least a first comparison value, a second comparison value, and a third comparison value, and the step further includes: Comparing the sizes of the T1 relaxation parameter, the T2 relaxation parameter and the T2* relaxation parameter in the relaxation time parameter set to generate a corresponding first comparison value; Comparing a signal strength parameter in the signal characteristic parameter set with a preset signal strength parameter to generate a corresponding second comparison value; The magnetic susceptibility parameter in the signal characteristic parameter set is compared with a preset magnetic susceptibility parameter to generate a corresponding third comparison value.

5. The method for analyzing residual amount of contrast agent according to claim 1, characterized in that: The step of determining the optimized imaging parameters according to the contrast agent concentration information and the imaging site information includes: Determining an echo time parameter and / or a repetition time parameter according to the contrast agent concentration information; The corresponding tissue characteristics are determined according to the imaging part information, and the layer thickness parameters and the scanning angle parameters are determined according to the tissue characteristics.

6. A contrast agent residual analysis method according to claim 1, characterized in that: The step of determining the imaging mode of the magnetic resonance imaging device according to the optimal imaging sequence and the optimized imaging parameters includes: Determining a preliminary mode according to the optimal imaging sequence and the optimized imaging parameters; Obtain imaging feedback information in real time; Analyze the imaging feedback information to determine whether an error point occurs; If the error point occurs, determine to adjust the imaging parameters, the adjusted imaging parameters are used to adjust the optimized imaging parameters, and re-judge whether the error point occurs until the error point no longer occurs; If the error point no longer appears, the preliminary mode is determined to be the imaging mode.

7. A contrast agent residual amount analysis device, characterized in that: The contrast agent residual amount analysis device comprises: An acquisition module, used for acquiring contrast agent type information, contrast agent concentration information and target site information based on a drug label scanning device; An extraction module, configured to extract a corresponding first set of physical parameters from a preset database according to the contrast agent type information; A first determination module, configured to determine an optimal imaging sequence according to the first set of physical parameters and the target part information; A second determination module is used to determine the optimized imaging parameters according to the contrast agent concentration information and the imaging site information; A third determination module is used to determine an imaging mode of a magnetic resonance imaging device according to the optimal imaging sequence and the optimized imaging parameters; The calculation module is used to scan the target part and generate imaging results based on the imaging mode, and calculate the corresponding contrast agent residual amount according to the imaging results.

8. The device for analyzing residual amount of contrast agent according to claim 7, characterized in that: The extraction module comprises: A first extraction unit, used to extract matching features from the contrast agent type information; A second extraction unit, configured to extract a corresponding second set of physical parameters from a preset database according to the matching feature; a judging unit, configured to judge whether the additional condition of the magnetic resonance imaging device is obtained, and if not, determine that the second physical parameter set is the first physical parameter set, and if so, select corresponding key physical parameters from the first physical parameter set according to the additional condition, and recombine the selected key physical parameters into the first physical parameter set; The first determining module comprises: An analysis unit, configured to analyze each key physical parameter in the first physical parameter set to generate a corresponding comparison parameter value; A first determination unit, configured to determine a weight coefficient of each contrast parameter value according to the contrast agent type information, the contrast agent concentration information and the target site information; A generating unit, used for adding the product of each of the comparison parameter values ​​and the corresponding weight coefficient to generate a corresponding comparison result; A second determining unit, configured to determine a corresponding optimal imaging sequence according to the comparison result; The analysis unit comprises: A first comparison subunit, used for comparing the magnitudes of the T1 relaxation parameter, the T2 relaxation parameter and the T2* relaxation parameter in the relaxation time parameter set to generate a corresponding first comparison value; A second comparison subunit, used for comparing the signal strength parameter in the signal characteristic parameter set with a preset signal strength parameter to generate a corresponding second comparison value; a third comparison subunit, configured to compare the magnetic susceptibility parameter in the signal characteristic parameter set with a preset magnetic susceptibility parameter to generate a corresponding third comparison value; The second determining module comprises: A third determination unit, configured to determine an echo time parameter and / or a repetition time parameter according to the contrast agent concentration information; A fourth determination unit, configured to determine corresponding tissue characteristics according to the imaging part information, and determine a layer thickness parameter and a scanning angle parameter according to the tissue characteristics; The third determination module comprises: a fifth determining unit, configured to determine a preliminary mode according to the optimal imaging sequence and the optimized imaging parameters; An acquisition unit, used for acquiring imaging feedback information in real time; An analysis unit, used to analyze the imaging feedback information to determine whether an error point occurs; A sixth determination unit, used for determining, if the error point occurs, adjusting imaging parameters, the adjusted imaging parameters being used to adjust the optimized imaging parameters, and re-determining whether an error point occurs, until the error point no longer occurs; The seventh determining unit is used to determine that the preliminary mode is an imaging mode if the erroneous point no longer appears.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the contrast agent residual analysis method as described in any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of a contrast agent residual analysis method as claimed in any one of claims 1 to 6 are implemented.

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