Vascular ultrasound structured report system and vascular ultrasound detection method

Abstract

The invention discloses a vascular ultrasound structured report system and a vascular ultrasound detection method, and belongs to the technical field of ultrasonic diagnosis. The system comprises a patient and examination information management module, an examination part selection module, an ultrasonic view description template module, a measured value processing module, a schematic diagram labeling module, an intelligent diagnosis auxiliary module and a report integration output module. By means of multi-module integration, templated text description, data tables and schematic diagrams, standardization, normalization and visualization of vascular ultrasound results can be achieved, and clinical diagnosis efficiency and quality are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of ultrasonic diagnosis technology, and more specifically, to a vascular ultrasound structured reporting system and a vascular ultrasound detection method. Background Art

[0002] With the rapid development of medical imaging equipment and information technology, ultrasonic diagnosis has become a commonly used and important examination method in clinical practice. For the vascular system, the diagnosis of lesions in parts such as neck vessels, abdominal vessels, and limb vessels often requires a combination of multiple examination methods such as gray-scale ultrasound, Doppler ultrasound, and ultrasound contrast to evaluate hemodynamic changes and the structural characteristics of the vessel wall and lumen.

[0003] However, the existing vascular ultrasound report forms generally have the following problems:

[0004] 1. Non-standard description: Doctors often need to make written descriptions based on personal experience within a limited time, which is prone to situations such as inconsistent description languages and lack of key points;

[0005] 2. Inconvenient information acquisition: The report lacks standardized measurement values and graphical information, resulting in difficulties in subsequent re-evaluation and data mining;

[0006] 3. Insufficient visualization: Most reports only have simple written descriptions, lacking schematic diagrams or tabular displays, making it difficult for patients and doctors in other clinical departments to understand;

[0007] 4. Lack of dynamic tracking and comparison: For patients during treatment, it is impossible to quickly compare the previous and current examination results, making it difficult to effectively evaluate the treatment effect or the change of the condition.

[0008] Therefore, how to provide a vascular ultrasound structured reporting system and a vascular ultrasound detection method is an urgent problem to be solved by those skilled in the art. Summary of the Invention

[0009] In view of this, the present invention provides a vascular ultrasound structured reporting system and a vascular ultrasound detection method. Through multi-module integration, templated text descriptions, data tables, and schematic diagrams, it can achieve the standardization, normalization, and visualization of vascular ultrasound results, greatly improving the clinical diagnosis efficiency and quality.

[0010] To achieve the above object, the present invention provides the following technical solutions:

[0011] A vascular ultrasound structured reporting system, comprising:

[0012] A patient and examination information management module, an examination site selection module, an ultrasound findings description template module, a measurement value processing module, a schematic diagram annotation module, an intelligent diagnosis assistance module, and a report integration and output module;

[0013] Among them, the patient and examination information management module obtains patient information through multi-source identity authentication and generates a unique examination identifier; the examination site selection module uses the built-in vascular anatomy atlas database to perform multi-level selection of vascular examination sites and trigger corresponding examination mode configurations; the ultrasonic findings description template module is used for multi-state ticking and free text supplementation to generate a composite ultrasonic description text; the measurement value processing module is used to input real-time measurement data and trigger automatic verification, and generate a visual comparison chart with trend analysis; the schematic diagram annotation module is equipped with vector graphic editing tools and a lesion feature symbol library, and provides an interactive schematic diagram interface for users to perform multi-modal annotations on standard anatomical diagrams and associate them with measurement data; the intelligent diagnosis assistance module generates hierarchical diagnosis suggestions based on the input data and provides a modification record tracking function; the report integration and output module generates a structured report compliant with the DICOM SR standard and supports cross-platform transmission.

[0014] Furthermore, the patient and examination information management module includes:

[0015] A biometric recognition unit, an examination item configuration unit, and a data encryption storage unit;

[0016] Among them, the biometric recognition unit is used for ID card reading and docking with the electronic health card; the examination item configuration unit associates the examination requirements of different clinical departments; the data encryption storage unit stores a privacy protection mechanism compliant with the HIPAA standard.

[0017] Furthermore, the examination site selection module includes:

[0018] A three-level anatomical structure selector, a multi-modal template library, and a historical examination record association unit;

[0019] Among them, the three-level anatomical structure selector performs step-by-step positioning from the main blood vessels to the branch blood vessels; the multi-modal template library stores report templates for B-ultrasound, color Doppler ultrasound, and contrast-enhanced ultrasound; the historical examination record association unit automatically matches the data of previous examination sites.

[0020] Furthermore, the ultrasonic findings description template module includes:

[0021] A vascular pathology knowledge graph database, a dynamic semantic generation unit, a blood flow parameter decision-making unit, and an image semantic enhancement unit;

[0022] The vascular pathology knowledge graph database stores lesion description templates encoded based on anatomical locations and their association relationships with the threshold ranges of intima-media thickness; the dynamic semantic generation unit receives intima-media thickness measurement values, compares them with preset pathological staging thresholds, calls the corresponding plaque type classifier according to the anatomical code of the examination site, and combines pathological staging, plaque type, and IMT deviation values to generate a structured description option set; the blood flow parameter decision unit has a built-in Doppler parameter conversion matrix to calculate the corrected blood flow velocity and matches blood flow feature description words according to the flow velocity distribution range; the image semantic enhancement unit has a pre-trained neural network model feature extractor to extract plaque texture features from ultrasound images, convert the image feature vectors into supplementary pathological description statements, and generate a composite ultrasound description text.

[0023] Further, the measurement value processing module includes:

[0024] An automatic capture unit and a trend analysis unit;

[0025] Among them, the automatic capture unit extracts measurement data from the ultrasound device DICOM file and performs a visual comparison of the current measurement value with historical data; the trend analysis unit analyzes the measurement data based on a preset range of vascular anatomical parameters and generates a visual comparison chart with trend analysis.

[0026] Further, the schematic diagram annotation module includes:

[0027] A lesion feature marking library, a three-dimensional reconstruction interface, and a hierarchical display unit;

[0028] The lesion feature marking library contains a visualization marking symbol set for plaque morphology and calcification degree; the three-dimensional reconstruction interface imports CT / MRI vascular imaging data to establish a reference coordinate system, and the hierarchical display unit performs hierarchical annotation and measurement of the vascular wall structure based on the lesion feature marking library and the reference coordinate system.

[0029] Further, the intelligent diagnosis assistance module includes:

[0030] A hemodynamics calculation unit, a stenosis degree grading unit, and a critical value warning unit;

[0031] Among them, the hemodynamics calculation unit automatically estimates the pressure gradient based on the Bernoulli equation; the stenosis degree grading unit automatically calculates the stenosis percentage; the critical value warning unit triggers a red warning signal when acute embolism features are detected.

[0032] Further, the report integration and output module includes multi-format output and data interface transmission.

[0033] A vascular ultrasound detection method includes the steps:

[0034] S1. Obtain patient information through multi-source identity authentication;

[0035] S2. Determine the target blood vessel based on multi-level selection of anatomical location and clinical indications, and load the examination template;

[0036] S3. Check multiple pathological state features to generate a composite ultrasound description text;

[0037] S4. Enter real-time measurement data and trigger automatic verification to generate a visual comparison chart with trend analysis;

[0038] S5. Mark the lesion on the standard anatomical diagram and associate it with the measurement data;

[0039] S6. Input data to generate a hierarchical diagnosis suggestion and provide a modification record tracking function;

[0040] S7. Generate a structured report that complies with the DICOM SR standard and transmit it across platforms.

[0041] As can be seen from the above technical solutions, compared with the prior art, the present invention discloses a vascular ultrasound structured report system and a vascular ultrasound detection method. By setting up multiple functional modules, through the mutual cooperation of the patient and examination information management module, examination site selection module, ultrasound findings description template module, measurement value processing module, schematic diagram annotation module, intelligent diagnosis assistance module, and report integration and output module, the standardized and structured management of vascular ultrasound examination results is realized, and a report with high standardization, integrity, and visualization level can be output, improving the structured degree and visualization level of vascular ultrasound reports, enabling doctors to more quickly and accurately explain diseases to patients, and at the same time enabling patients to have a more intuitive understanding of their own conditions. At the same time, the template of the present invention uses a standardized data format, which is convenient for data management and extraction, thus contributing to subsequent research and analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0043] Figure 1 It is a schematic structural diagram of a vascular ultrasound structured report system provided by the present invention;

[0044] Figure 2 It is a schematic flow diagram of a vascular ultrasound detection method provided by the present invention.

[0045] Figure 3 A display example of the schematic diagrams of different vascular sites provided by the present invention Specific embodiments

[0046] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0047] See Figure 1 , an embodiment of the present invention discloses a vascular ultrasound structured reporting system, including:

[0048] A patient and examination information management module, an examination site selection module, an ultrasound findings description template module, a measurement value processing module, a schematic diagram annotation module, an intelligent diagnosis assistance module, and a report integration and output module;

[0049] Among them, the patient and examination information management module obtains patient information through multi-source identity authentication and generates a unique examination identifier; the examination site selection module uses the built-in vascular anatomy atlas database to perform multi-level selection of vascular examination sites and trigger corresponding examination mode configurations; the ultrasound findings description template module is used for multi-state ticking and free text supplementation to generate a composite ultrasound description text; the measurement value processing module is used to input real-time measurement data and trigger automatic verification to generate a visual comparison chart with trend analysis; the schematic diagram annotation module is equipped with vector graphic editing tools and a lesion feature symbol library to provide an interactive schematic diagram interface for users to perform multi-modal annotations on the standard anatomical diagram and associate with the measurement data; the intelligent diagnosis assistance module generates hierarchical diagnosis suggestions according to the input data and provides a modification record tracking function; the report integration and output module generates a structured report that conforms to the DICOM SR standard and supports cross-platform transmission.

[0050] In a specific embodiment, the patient and examination information management module inputs, such as name, gender, age, medical record number, etc., and manages the patient's basic information, examination date, examination items, etc.

[0051] Specifically, it can be docked with the hospital HIS (Hospital Information System) or EMR (Electronic Medical Record) system to automatically obtain patient information and avoid repeated input.

[0052] In a specific embodiment, the examination site selection module: covers each subdivision of the neck vessels, abdominal vessels, and limb vessels, facilitating the physician to quickly select the site to be examined and call the corresponding report template.

[0053] Specifically, it also includes providing options for each specific examination site of the neck vessels, abdominal vessels, and limb vessels, such as: common carotid artery, internal carotid artery, external carotid artery, vertebral artery, abdominal aorta, inferior vena cava, renal artery, hepatic artery, hepatic vein, lower limb artery, lower limb vein, etc.

[0054] In a specific embodiment, referring to Figure 3 the schematic diagram examples of different vascular sites shown, the ultrasonic findings description template module provides corresponding standardized text description options or automatically generates description paragraphs according to different vascular sites, different examination methods (gray-scale ultrasound, Doppler, contrast-enhanced ultrasound), and different pathological states.

[0055] Specifically, the template content includes: normal wall structure, blood flow status, stenosis degree, plaque characteristics, intima-media thickness of blood vessels, abnormal blood flow velocity, vascular malformation or postoperative conditions, etc.

[0056] In a specific embodiment, the measurement value input and dynamic comparison module: presents and inputs key measurement values such as vascular diameter, intima-media thickness, stenosis degree, blood flow velocity, etc. in tabular form and can compare with historical data.

[0057] In a specific embodiment, the schematic diagram and visualization annotation module: builds standardized vascular schematic diagrams in the system for the physician to select key sites and annotate actual measurement data or lesion locations.

[0058] In a specific embodiment, the result prompt and diagnosis conclusion module: automatically generates or assists the doctor in obtaining a diagnosis prompt according to the selected text template and measurement values; at the same time, provides a concise result conclusion for subsequent clinical work.

[0059] In a specific embodiment, the report generation and output module: integrates all information to generate a structured report, which can be output in the form of a paper report, PDF, or other electronic document formats.

[0060] In a specific embodiment, the patient and examination information management module includes:

[0061] a biometric recognition unit, an examination item configuration unit, and a data encryption storage unit;

[0062] Among them, the biometric recognition unit is used for ID card reading and docking with the electronic health card; the examination item configuration unit is associated with the examination requirements of different clinical departments; the data encryption storage unit stores a privacy protection mechanism compliant with HIPAA standards.

[0063] In a specific embodiment, the examination site selection module includes:

[0064] A three-level anatomical structure selector, a multi-modal template library, and a historical examination record association unit;

[0065] Among them, the three-level anatomical structure selector locates step by step from the main blood vessels to the branch blood vessels; the multi-modal template library stores report templates for B-ultrasound, color Doppler ultrasound, and contrast-enhanced ultrasound; the historical examination record association unit automatically matches the data of previous examination sites.

[0066] In a specific embodiment, the ultrasonic findings description template module includes:

[0067] A vascular pathology knowledge graph database, a dynamic semantic generation unit, a blood flow parameter decision-making unit, and an image semantic enhancement unit;

[0068] The vascular pathology knowledge graph database stores lesion description templates encoded based on anatomical locations and their association relationships with the intima-media thickness threshold ranges of blood vessels; the dynamic semantic generation unit receives the intima-media thickness measurement values and compares them with the preset pathological stage thresholds, calls the corresponding plaque type classifier according to the anatomical code of the examination site, and combines the pathological stage, plaque type, and IMT deviation values to generate a structured description option set; the blood flow parameter decision-making unit has a built-in Doppler parameter conversion matrix to calculate and correct the blood flow velocity, and matches the blood flow feature description words according to the flow velocity distribution range; the image semantic enhancement unit has a pre-trained neural network model feature extractor to extract plaque texture features from ultrasonic images and convert the image feature vectors into supplementary pathological description statements to generate a composite ultrasonic description text.

[0069] In a specific embodiment, the measurement value processing module includes:

[0070] An automatic capture unit and a trend analysis unit;

[0071] Among them, the automatic capture unit extracts measurement data from the DICOM file of the ultrasonic device and makes a visual comparison based on the current measurement value and historical data; the trend analysis unit analyzes the measurement data based on the preset vascular anatomical parameter range and generates a visual comparison chart with trend analysis.

[0072] In a specific embodiment, the schematic diagram annotation module includes:

[0073] A lesion feature marking library, a three-dimensional reconstruction interface, and a hierarchical display unit;

[0074] The diseased feature marking library contains a visualization symbol set for plaque morphology and calcification degree. The CT / MRI angiography data is imported through the 3D reconstruction interface to establish a reference coordinate system, and the hierarchical display unit performs hierarchical annotation and measurement of the vascular wall structure based on the diseased feature marking library and the reference coordinate system.

[0075] In a specific embodiment, the intelligent diagnosis assistance module includes:

[0076] A hemodynamic calculation unit, a stenosis degree grading unit, and a critical value warning unit;

[0077] Among them, the hemodynamic calculation unit automatically estimates the pressure gradient based on the Bernoulli equation; the stenosis degree grading unit automatically calculates the stenosis percentage; the critical value warning unit triggers a red warning signal when acute embolism features are detected.

[0078] In a specific embodiment, the report integration and output module includes multi-format output and data interface transmission.

[0079] Specifically, the implementation method of each module is as follows: It is stored in XML, JSON, or a database table, including standard description phrases, corresponding parts, common diseased types, typical ultrasound diagrams, etc.

[0080] Specifically, the system regularly updates or expands the template to adapt to the development of medicine and the needs of departments.

[0081] Specifically, the system conducts two-way data interaction with the hospital HIS / EMR / PACS to achieve automatic synchronization of patient information, examination images, and historical data; uses standard protocols such as HL7 and DICOM for communication to ensure the universality and scalability of the system.

[0082] Specifically, dynamic annotation is implemented based on vector graphics or hierarchical images; simple graphic drawing tools (such as arrows, circles, highlight marks, etc.) and annotation functions are provided to facilitate visual editing by doctors.

[0083] Specifically, for security and permission management: A role-based permission control mechanism is adopted, and different users (such as ultrasound doctors, resident doctors, administrators, etc.) have different permissions; sensitive data (such as patient privacy information) is encrypted during storage or transmission to meet the requirements of medical data security compliance.

[0084] On the other hand, referring to Figure 2 , a vascular ultrasound detection method includes the steps of:

[0085] S1. Obtain patient information through multi-source identity authentication;

[0086] S2. Determine the target blood vessel based on multi-level selection of anatomical location and clinical indications, and load the examination template;

[0087] S3. Check the multi-pathological state features and generate a composite ultrasonic description text;

[0088] S4. Enter the real-time measurement data and trigger automatic verification to generate a visual comparison chart with trend analysis;

[0089] S5. Mark the lesion on the standard anatomical diagram and associate it with the measurement data;

[0090] S6. Input data to generate a hierarchical diagnosis suggestion and provide a modification record tracking function;

[0091] S7. Generate a structured report compliant with the DICOM SR standard and transmit it across platforms.

[0092] In this specification, each embodiment is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. For the same or similar parts among the embodiments, reference can be made to each other. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple. For the relevant parts, reference can be made to the description in the method section.

[0093] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be obvious to those skilled in the art. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A vascular ultrasound structured reporting system, characterized in that: include: Patient and examination information management module, examination site selection module, ultrasound findings description template module, measurement value processing module, schematic annotation module, intelligent diagnosis assistance module and report integration output module; Among them, the patient and examination information management module obtains patient information through multi-source identity authentication and generates a unique examination identifier; the examination site selection module uses the built-in vascular anatomical atlas database to perform multi-level selection of vascular examination sites and trigger the corresponding examination mode configuration; the ultrasound findings description template module is used for multi-state selection and free text supplement to generate a composite ultrasound description text; the measurement value processing module is used to enter real-time measurement data and trigger automatic verification, and generate a visual comparison chart with trend analysis; the schematic annotation module is equipped with vector graphics editing tools and a lesion feature symbol library, providing an interactive schematic interface for users to perform multi-modal annotation on standard anatomical diagrams and associate them with measurement data; the intelligent diagnosis assistance module generates hierarchical diagnosis suggestions based on the input data and provides a modification record tracking function; the report integration output module generates a structured report that complies with the DICOM SR standard and supports cross-platform transmission.

2. A vascular ultrasound structured reporting system according to claim 1, characterized in that: The patient and examination information management module includes: Biometric feature recognition unit, inspection item configuration unit and data encryption storage unit; Among them, the biometric recognition unit is used to read the ID card and connect it with the electronic health card; the examination item configuration unit is associated with the examination requirements of different clinical departments; and the data encryption storage unit stores a privacy protection mechanism that complies with the HIPAA standard.

3. A vascular ultrasound structured reporting system according to claim 1, characterized in that: The inspection part selection module comprises: Three-level anatomical structure selector, multimodal template library, and historical examination record association unit; Among them, the three-level anatomical structure selector locates step by step from the main blood vessels to the branch blood vessels; the multimodal template library stores report templates for B-ultrasound, color ultrasound, and ultrasound angiography; and the historical examination record association unit automatically matches the previous examination site data.

4. A vascular ultrasound structured reporting system according to claim 1, characterized in that: The ultrasound findings description template module includes: Vascular pathology knowledge graph database, dynamic semantic generation unit, blood flow parameter decision unit, and image semantic enhancement unit; The vascular pathology knowledge graph database stores lesion description templates based on anatomical position coding and their association with the threshold range of vascular intima-media thickness; the dynamic semantic generation unit receives the vascular intima-media thickness measurement value and compares it with the preset pathological staging threshold, calls the corresponding plaque type classifier according to the anatomical code of the inspection site, and combines the pathological staging, plaque type, and IMT deviation value to generate a structured description option set; the blood flow parameter decision unit has a built-in Doppler parameter conversion matrix, calculates the corrected blood flow velocity, and matches the blood flow feature description language according to the flow velocity distribution interval; the image semantic enhancement unit pre-trains the neural network model feature extractor to extract plaque texture features from the ultrasound image, and converts the image feature vector into a supplementary pathological description sentence to generate a composite ultrasound description text.

5. The vascular ultrasound structured reporting system according to claim 1, characterized in that: The measurement value processing module comprises: Automatic grabbing unit and potential analysis unit; Among them, the automatic capture unit extracts measurement data from the DICOM file of the ultrasound device and visually compares the current measurement value with the historical data; the trend analysis unit analyzes the measurement data based on a preset vascular anatomical parameter range and generates a visual comparison chart with trend analysis.

6. A vascular ultrasound structured reporting system according to claim 1, characterized in that: The schematic diagram annotation module comprises: Lesion feature marker library, 3D reconstruction interface, and layered display unit; The lesion feature mark library includes a set of visualization mark symbols for plaque morphology and calcification degree; CT / MRI vascular imaging data is imported through the three-dimensional reconstruction interface to establish a reference coordinate system, and the layered display unit performs layered annotation and measurement of the vascular wall structure based on the lesion feature mark library and the reference coordinate system.

7. A vascular ultrasound structured reporting system according to claim 1, characterized in that: The intelligent diagnosis auxiliary module includes: Hemodynamic calculation unit, stenosis grading unit and critical value warning unit; Among them, the hemodynamic calculation unit automatically estimates the pressure gradient based on the Bernoulli equation; the stenosis degree grading unit automatically calculates the stenosis percentage; and the critical value warning unit triggers a red warning signal when acute embolism characteristics are detected.

8. The vascular ultrasound structured reporting system according to claim 1, characterized in that: The report integration output module includes multi-format output and data interface transmission.

9. A method for ultrasonic detection of blood vessels using the system of any one of claims 1 to 8, characterized in that: Contains steps: S1. Obtain patient information through multi-source identity authentication; S2. Determine the target vessel based on the multi-level selection of anatomical location and clinical indications, and load the examination template; S3. Check multiple pathological state features to generate a composite ultrasound description text; S4. Input real-time measurement data and trigger automatic verification to generate visual comparison charts with trend analysis; S5. Annotate lesions on standard anatomical maps and associate them with measurement data; S6. Input data to generate hierarchical diagnostic suggestions and provide modification record tracking function; S7. Generate structured reports that comply with the DICOM SR standard and transmit them across platforms.

Images