470 results about "Pantomography" patented technology

The invention provides an acute cerebral apoplexy early-stage intelligent screening and early warning method and system based on deep learning, and relates to the technical field of medical imaging and artificial intelligence, and the method comprises the steps: obtaining a multi-temporal angiography image of the brain of a patient through a pulse-type dynamic imaging scheme, extracting hemodynamic features through a double-flow feature extraction network, and obtaining a multi-temporal angiography image of the brain of the patient; and constructing a vasculopathy risk distribution diagram by combining a vascular structure analysis model, and marking a potential embolism risk area. Furthermore, in combination with tissue perfusion parameters obtained by multispectral imaging and brain tissue function parameters obtained by electroencephalogram signals, an ischemic penumbra region is identified by using a self-adaptive threshold segmentation model. And finally, based on the ischemic penumbra area, the tissue perfusion parameters and the brain tissue function parameters, calculating a risk level by using a hierarchical decision model with a space-time attention mechanism, and generating a corresponding clinical intervention scheme. According to the invention, the early accurate screening and risk early warning of acute cerebral apoplexy can be realized, and the clinical intervention efficiency is improved.

The invention relates to the technical field of ophthalmologic image processing, and discloses a fundus blood vessel segmentation method based on multi-modal data. The method comprises the following steps: firstly, synchronously acquiring an optical coherence tomography image, a color fundus photographic image and a fluorescent angiography image to form multi-modal fundus data; preprocessing the eye fundus image data set to generate a standardized multi-mode eye fundus image data set; fusing heterogeneous features based on the data set, and constructing a multi-dimensional fundus feature space; using the space to train a deep learning segmentation network model, and generating an initial fundus blood vessel segmentation mask; carrying out confidence evaluation analysis on the initial mask to obtain a blood vessel segmentation result confidence distribution map; dividing blood vessel segmentation quality grades according to the distribution diagram, and defining a judgment rule; and performing interactive correction on the low-confidence region based on a rule to generate a final optimized fundus blood vessel segmentation result. And the final result is transmitted to a visual terminal for three-dimensional topology reconstruction. According to the method, the advantages of multi-modal data are integrated, and a more comprehensive fundus blood vessel segmentation result is formed.

The invention relates to a real-time three-dimensional reconstruction method based on intracavity ultrasound and fistula radiography, which comprises the following steps of: extracting a fistula channel projection path through a fistula expansion outline after a contrast agent is injected during radiography; the ultrasonic probe is linked to detect the tissue interface change in the image, and reverse matching is carried out on the tissue interface change and a high-density area of the radiography image; establishing a spatial perspective calibration system based on an imaging cone projection relation, and estimating a rotation / translation pose of the intracavity ultrasound image ICE in a three-dimensional space; outputting a spatial state sequence of the ICE frame; performing curved surface resampling on the ICE image, and establishing a sectioned image stack; continuously receiving a new ICE image and a contrast frame; performing model fine tuning through a local deformation field; operating a spatial feature extraction network on the fistula volume model; judging local expansion / contraction and curvature change in the three-dimensional model to identify a fistula opening point; a fistula main channel and branch paths are analyzed, and the fistula complexity level is judged through topology analysis; and comparing with a preoperative map to assist in preoperative pre-judgment and intra-operative path planning.

The invention discloses a sepsis-related acute kidney injury intelligent prediction system and a hierarchical management method, and the system comprises a multi-modal data collection module which synchronously collects an ultrasound contrast video, a urine biomarker and hemodynamic parameters in real time; the spatio-temporal feature extraction module is used for extracting multi-modal spatio-temporal features; modeling a dynamic interaction effect of heart and kidney nodes through a dynamic organ interaction graph network; the self-supervised pre-training module is used for improving the generalization of the model through comparative learning; the dynamic risk prediction module outputs a risk probability curve in the next 24 hours; the hierarchical decision management module is used for generating personalized strategies of liquid management, vasoactive drug adjustment and kidney replacement treatment opportunity; and the interpretability module is used for analyzing the key early warning characteristics based on the SHAP value. According to the method, the problems of deficiency of organ interaction modeling, poor generalization of small samples, stiffness of static decision and the like are solved, and the early warning and precise treatment capabilities of the sepsis-related kidney injury are remarkably improved.

The invention discloses an intracranial aneurysm rupture risk assessment method, device and equipment and a storage medium, and the method comprises the steps: firstly, generating a time sequence image containing flow field information based on the maximum density projection and center line extraction processing of a two-dimensional angiography image sequence in combination with contrast agent concentration change curve analysis; performing three-dimensional reconstruction, region-of-interest extraction and opening extension processing by using the three-dimensional image sequence to obtain detailed morphological parameters and a region-of-interest model after extension processing; secondly, displaying a time sequence image with flow field information and a region-of-interest model of which an opening is not prolonged in an overlapping manner, further optimizing setting of boundary conditions and performing hydrodynamic simulation by calculating a flow field vector in an observation ball and determining an actual blood flow direction, and calculating key hemodynamic parameters; and finally, in combination with the morphological parameters, the hemodynamic parameters and clinical information of the patient, obtaining an evaluation result of the aneurysm rupture risk.

The present invention provides an early intelligent screening and warning method and system for acute stroke based on deep learning, which relates to the field of medical imaging and artificial intelligence technology, including obtaining multi-phase angiography images of the patient's brain through a pulsed dynamic imaging scheme, extracting hemodynamic characteristics using a dual-stream feature extraction network, and constructing a vascular lesion risk distribution map in combination with a vascular structure analysis model to mark potential embolism risk areas. Further, combining tissue perfusion parameters obtained by multispectral imaging and brain tissue function parameters obtained by electroencephalogram signals, an adaptive threshold segmentation model is used to identify the ischemic penumbra area. Finally, based on the ischemic penumbra area, tissue perfusion parameters, and brain tissue function parameters, a hierarchical decision model with a spatiotemporal attention mechanism is used to calculate the risk level and generate a corresponding clinical intervention plan. The present invention can achieve early and accurate screening and risk warning of acute stroke, and improve the efficiency of clinical intervention.

The invention discloses a cardiovascular intervention catheter storehouse scheduling system based on demand analysis, and relates to the technical field of medical informatization, and the system comprises a data collection module which is used for obtaining an operation plan, a doctor identifier, a step sequence and an angiography image; the feature extraction module is used for generating a situation feature vector according to the contrast image; the standard deduction module is used for deducing subsequent steps and corresponding catheter sets; the selection probability calculation module is used for querying a doctor preference knowledge base in combination with the doctor identifier, the step code and the feature vector to obtain catheter selection probability distribution; the first judgment module is used for outputting a predicted catheter model if the catheter selection probability exceeds a first threshold value, otherwise, counting the catheter use frequency of the historical data of the doctor; the second judgment module is used for outputting the corresponding catheter model if the use frequency exceeds a second threshold value, otherwise, determining a predicted catheter model from the standard catheter set according to a rule; the accuracy and clinical suitability of catheter prediction can be improved.

The invention discloses a contrast agent injection regulation and control device, and relates to the technical field of contrast agent injection.The contrast agent injection regulation and control device comprises an injection pipe, one end of the injection pipe is fixedly connected with a limiting plate, a piston is slidably installed in the injection pipe, a drawing rod is installed on one side of the piston, and one end of the drawing rod is fixedly connected with a pushing piece; a limiting ring is fixedly connected to the outer portion of the drawing rod, first limiting grooves are symmetrically formed in the outer portion of the injection pipe, and an adjusting mechanism is arranged on the outer portion of the injection pipe. The position of the positioning mechanism can be changed by moving the adjusting mechanism, the scale strip is arranged outside the injection tube, the adjusting mechanism can be conveniently moved to a proper position, and when a contrast agent is sucked, due to the cooperation of the positioning mechanism and the limiting ring, the drawing rod can only move to a designated position, so that the amount of the sucked contrast agent is guaranteed, and the contrast agent suction efficiency is improved. The situation that the subsequent radiography effect is affected after too much or too little inhalation is injected into the body of a patient is avoided, and adjustment can be conveniently conducted according to the condition of the patient.

Methods and systems for foveal avascular zone (FAZ) segmentation of a retina. A three dimensional optical coherence tomography angiography (OCTA) volume of a retina of a subject is received. The OCTA volume comprising a plurality of layers. A slab input for a model system is formed using the OCTA volume. The model system comprising a deep learning model. A set of mask images is generated, via the model system, based on the slab input. The set of mask images includes an area mask image that accurately and reliably identifies an area of a foveal avascular zone captured by the OCT volume.

Detection of landmarks in volumes of medical images is an important step in developing various diagnostic procedures. The invention pertains to a method detection of a landmark in a volume of medical images. Said volume of medical images can be selected from a computational tomography volume or a magnetic resonance volume. The invention includes a residual U-Net architecture to produce a heatmap that describes probability of finding the landmark which can be combined with a 3D Differentiable Spatial to Numerical Transform (DSNT) in order to obtain coordinates of the landmark. The invention was evaluated on two datasets: dataset containing 157 Coronary Computed Tomography Angiography (CCTA) scans and a dataset containing 77 Computed Tomography Angiography (CTA) scans. The proposed method provides a significantly improve accuracy of landmark detection, especially for ostium landmark detection, when compared to known methods.

The invention relates to the technical field of cardiovascular disease diagnosis, and discloses a myocardial perfusion and survivability evaluation method based on cardiac ultrasound contrast intelligent analysis. The method comprises the following steps: firstly, acquiring cardiac ultrasound contrast dynamic image data and pre-processing the data, then performing myocardial region segmentation by adopting an improved U-Net network in combination with an attention mechanism and a dynamic region growing algorithm, and constructing a myocardial perfusion zoning model. Then, myocardial perfusion dynamic characteristics are extracted, key time sequence characteristics are screened, and a multi-modal fusion evaluation model is constructed to generate a myocardial survivability probability distribution diagram. And finally, performing quantitative evaluation based on the probability distribution diagram, outputting a myocardial perfusion defect index and a survivability score, and generating a visual three-dimensional evaluation report. The accuracy of myocardial perfusion and survivability evaluation is improved, multi-modal information is integrated, quantitative evaluation and visualization are achieved, model robustness and clinical working efficiency are improved, and powerful support is provided for diagnosis and treatment of cardiovascular diseases.

The embodiment of the invention provides an angiography method, system and device based on ultrasonic positioning and a storage medium, and belongs to the technical field of ultrasonic medical detection. Firstly, an ultrasonic probe is adopted to scan a current area to obtain ultrasonic data, a Doppler imaging technology is adopted to process the ultrasonic data to obtain a Doppler blood vessel image of the current area, then whether the current area is a target area or not is rapidly judged according to the Doppler blood vessel image, and after the target area is rapidly determined, the target area is determined. And performing microbubble contrast operation on the blood vessel of the target area, and scanning the target area after the microbubble contrast operation by adopting an ultrasonic positioning microscope technology, so as to obtain a high-precision blood vessel image of the target area. The target area is rapidly positioned through the Doppler imaging technology, then the blood vessel image is collected in the target area through the ultrasonic positioning microscope technology based on microbubble radiography, the efficiency of the blood vessel image collection process of the target area is improved, and meanwhile the blood vessel image precision is improved.

The invention discloses an intracranial anterior artery circulation functional evaluation method and device, computer equipment and a storage medium, and relates to the field of vascular function evaluation, and the method comprises the steps: based on an intracranial angiography image and near-end pressure data, carrying out the five working processes of data input, blood vessel segmentation and segmentation, boundary condition calculation, hemodynamic simulation and functional parameter calculation; according to the method, functional parameters verified in the coronary artery field are migrated to intracranial blood vessel evaluation without additional equipment, the clinical problem that traditional morphological evaluation is not matched with functionality is solved, individualized function quantification is achieved by integrating blood vessel morphological characteristics and hemodynamic simulation, and the method is suitable for being applied to intracranial blood vessel evaluation. According to the method, an objective basis is provided for cerebrovascular disease diagnosis and treatment, the intracranial vascular disease is promoted to be converted from anatomy orientation to function orientation, the clinical decision accuracy is remarkably improved, popularization and application of functional evaluation in the field of neural intervention are accelerated, and construction of a cerebrovascular disease accurate diagnosis and treatment system is assisted.

A stenosis assessment method and device based on the intracranial digital subtraction angiographic (DSA) imaging, including acquiring the intracranial DSA imaging and extracting two planar images containing the target blood vessel from the DSA imaging, wherein the two planar images have different shooting angles. According to the two planar images, a 3D model of the target vessel is established. Based on the established 3D model of the target vessel and the DSA imaging, the hemodynamic simulation of the target vessel is performed. The disclosure realizes the functional assessment of intracranial vascular stenosis, improves the diagnostic accuracy, and provides certain assistance for neurologists to determine intervention means. The disclosure of noninvasive FFR technology in the assessment of intracranial vascular stenosis can only rely on angiography for functional assessment, saving the medical examination cost of patients. It has more convenient operation and higher repeatability.

The invention relates to the technical field of medical imaging, and discloses a peripheral lung cancer pleural invasion evaluation system based on ultrasonic targeted radiography, comprising: a double-frequency ultrasonic probe configured to independently work at different frequencies to realize depth imaging and high-resolution imaging of lung tissues and suitable for different types of lung lesions; the signal processing module can receive, analyze and process echo signals transmitted by the ultrasonic probe, generate images in real time and extract feature information; and the dynamic motion compensation module is used for automatically adjusting the emission time sequence and parameter setting of the ultrasonic signal based on the real-time breathing motion state of the patient. By adopting the design of the double-frequency ultrasonic probe and the core-shell structure, high-resolution imaging and depth detection of lung tissues are realized. By dynamically adjusting the thickness of the probe shell to be matched with the frequency, the system can adapt to complex tissue environments under different physiological conditions, and image definition and stability are ensured.

The utility model relates to the technical field of medical equipment, and discloses medical radiography equipment for gastrointestinal radiography in radiology department, which comprises a gastrointestinal radiography machine body, two mounting racks are arranged at the bottom of one side of the gastrointestinal radiography machine body in a sliding manner, and a support cylinder for driving the mounting racks to lift is arranged at the bottom of one side of the gastrointestinal radiography machine body. A supporting plate is arranged between the two mounting frames, a supporting disc is rotationally arranged in the middle of the supporting plate, and a driving motor for driving the supporting disc to rotate is arranged at the bottom end of the supporting disc; the supporting disc can flexibly rotate in the horizontal plane of the supporting plate, the rotating angle can be accurately adjusted according to instructions of a doctor, a patient can be kept stable in the rotating process of the supporting disc through the cooperation between the handrail assembly and the binding assembly, shaking or inclination is avoided, and the patient can be protected from being damaged. Meanwhile, the position of the patient can be finely adjusted through the arranged supporting air cylinder.

The invention belongs to the technical field of DSA, and discloses a DSA platform-based multi-state real-time multi-mode image accurate fusion method. After an angiography image is collected on the basis of DSA equipment under the motion condition, accurate DSA blood vessel subtraction image enhanced display is achieved, meanwhile, hepatic artery extraction in a three-dimensional image in preoperative CT is completed, dynamic intelligent fusion of a precise anatomical structure in a preoperative multi-mode CT image and intraoperative local blood vessel development is combined, and the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion of the dynamic and intelligent fusion is achieved. The intrahepatic lesions and important blood vessels are accurately and visually displayed, operation planning is completed, fusion of three-dimensional information and two-dimensional DSA is utilized, and transvascular and percutaneous interventional operations are accurately guided.

According to the multifunctional heart color ultrasound acoustic contrast examination device, the stirring mechanism is arranged in the cylinder, and the sealing mechanism and the mixing mechanism are integrated on the stirring mechanism, so that the efficiency and the sealing reliability in the contrast agent stirring process are remarkably improved. Wherein the mixing mechanism is fixedly connected to the outer wall of the stirring shaft and can drive the stirring plate to efficiently stir in multiple directions when the stirring shaft rotates, so that a contrast agent and gas can be fully mixed to generate mixed liquid with uniform and stable microbubbles, and the imaging quality and diagnosis accuracy of heart color ultrasound acoustic contrast examination are improved.

The invention relates to the technical field of control of intelligent implanted medical instruments, and discloses an aneurysm neck sealing system and a control method. Digital subtraction angiography is adopted to measure the neck diameter in multiple directions, an average value is calculated, the target neck sealing radius is set by combining the size of an embolism device, and it is ensured that instrument type selection is scientific and reasonable. The triggering temperature and recovery kinetics of the shape memory polymer are determined through a constant-temperature experiment, an actual expansion radius model is established, and quantitative control over the heating process is ensured. A heat balance model is established by using the heat capacity and cooling curve of the embolism device, and temperature rise and heating power expressions are deduced, so that fine regulation and control of temperature and power are realized. And natural cooling is performed after heating to a set terminal point, the plugging effect is evaluated in real time through iconography measurement, and compensation heating or model replacement is performed according to actual differences to ensure the plugging effect.

The invention relates to the technical field of medical diagnosis, in particular to an in-vitro esophageal cancer detection system, comprising: a data acquisition module for performing data acquisition on a patient through CT scanning; the data processing module is used for carrying out image processing analysis and feature extraction on the CT scanning data acquired in the data acquisition module; the model construction module is used for generating a three-dimensional model of the esophagus and surrounding tissues thereof; the simulation detection module is used for simulating an X-ray barium meal detection process on the three-dimensional model and predicting a barium meal radiography effect in actual examination so as to predict a detection result of the esophageal cancer; and the result verification module is used for formulating an X-ray barium meal detection scheme according to the data extracted from the data processing module, and verifying the prediction result of the simulation detection module through actual X-ray barium meal examination. According to the invention, accurate detection of esophageal cancer is realized, the examination pain and radiation exposure risk of a patient are reduced, and the accuracy and repeatability of detection are also improved.

The invention provides an automatic counting method and system for ultrasonic microbubbles in right heart acoustic radiography. The method comprises the following steps: acquiring a cardiac radiography image of a patient through high-resolution ultrasonic equipment; extracting a region of interest of the cardiac angiography image based on the cardiac vascular structure, and performing image registration operation on the cardiac angiography image by taking the region of interest as a reference point to obtain a registered image; carrying out pixel-by-pixel addition on two frames of pulse images with opposite phases in the registered image to obtain an enhanced image; determining the high-echo bright spots in the enhanced image as suspected microbubbles, and performing denoising processing according to the feature similarity to obtain real microbubbles; judging pathological conditions according to whether real microbubbles exist in the left atrium or not; if the real microbubbles exist in the left atrium, grading the abnormal blood flow according to the change data of the microbubbles in the left atrium and the right atrium. According to the method, through high-precision image registration, multi-modal feature analysis and dynamic parameter fusion technologies, the microbubble detection accuracy is improved, and quantitative grading of pathological conditions is achieved.

The invention provides a multi-mode ultrasonic monitoring method for degradation of a PFO degradable plugging device, and relates to the technical field of cardiovascular ultrasonic medical treatment. The multi-mode ultrasonic monitoring method for degradation of the PFO degradable occluder aims to overcome the technical defects that in the prior art, a single ultrasonic mode cannot achieve degradation progress quantification of the occluder, precise identification of residual shunt and evaluation of the integration degree of surrounding myocardial tissue at the same time. According to the method, three modalities of real-time three-dimensional transthoracic ultrasound (RT-3D TTE), ultrasonic contrast (CEUS) and shear wave elastography (SWE) are cooperatively applied, the form, hemodynamics and tissue elasticity data of the occluder are collected in stages, non-invasive, dynamic and accurate monitoring of the whole degradation process of the occluder is achieved in combination with preset quantitative indexes, and a reliable basis is provided for clinically adjusting a treatment scheme.

A method, system, device and storage medium for measuring and classifying CT-FFR, dividing lesions into different types according to coronary artery computed tomography angiography (CCTA) images, determining lesion lengths at lesion positions according to different lesion types, and determining the lesion lengths at the lesion positions according to different lesion types. Then, the measurement range of computed tomography fractional flow reserve is determined according to the focus lengths of different lesion types, a statistical matrix is established to calculate the numerical values of all computed tomography fractional flow reserve CT-FFR in the measurement range, and finally, hemodynamic classification is conducted on calculation results. According to the CT-FFR evaluation method, the accuracy and the stability of CT-FFR evaluation are enhanced by carrying out pathological change specificity classification on the pathological change in the haemodynamics sense, interference is reduced, and a more reliable solution is provided for clinicians and patients.

The invention provides an ultrasonic detection imaging method, system and device and a medium. The method comprises the steps that magnetic markers are arranged in an ultrasonic probe and in a target area; performing magnetic positioning on the ultrasonic probe, and tracking spatial information of the ultrasonic probe in real time; based on magnetic control, controlling the ultrasonic probe to carry out multi-angle shooting in the target area so as to obtain three-dimensional ultrasonic image data of the target area; synchronizing the space information of the ultrasonic probe with the ultrasonic image data, and performing real-time linkage on the contrast image and the ultrasonic image data to generate an ultrasonic fusion image; acquiring focus ultrasonic fusion information in the target area based on the ultrasonic fusion image; and performing PSA detection on the lesion ultrasonic fusion information, and determining a lesion treatment range based on a PSA detection result. The clinical application value of surgical ultrasonic imaging can be improved, and more accurate and safer diagnosis and treatment schemes are provided for patients.

The utility model relates to the technical field of fallopian tube dredging devices, in particular to a fallopian tube catheter suite, a guide tube comprises a first tube body and a first connector which are communicated, the first tube body can be inserted into an outer sleeve, and an inner catheter can be inserted into the first tube body from a side connector; the fallopian tube suite can be switched to a first working state when the guide tube is located in the outer sleeve; on the basis of the first working state, when the inner guide pipe is located in the guide pipe, the inner guide pipe can be switched to the second working state; on the basis of the second working state, the guide wire can be switched to the third working state when the guide wire is located in the inner catheter; the fallopian tube catheter suite has the advantages that the fallopian tube catheter suite provides a hardware basis for a series of operations such as fallopian tube radiography, sterilization, dredging, suction and lavage, the functions can be achieved through one suite, and the surgical operation process is greatly simplified.

The invention belongs to the technical field of medical instruments. In order to solve the problem that an existing device is tedious in operation, the multifunctional automatic injection system is designed and comprises an injector, an automatic injection device and an auxiliary Y valve, and the auxiliary Y valve is connected with a catheter, a guide wire and the automatic injection device. Therefore, the automatic injection device can inject the contrast agent, the medicine or the embolic agent in the injector, the contrast or treatment efficiency is improved, meanwhile, the guide wire can be rapidly fixed, the guide wire does not need to be completely withdrawn out of the catheter, the surgical operation difficulty is reduced, and the surgical time is shortened.

The invention discloses a syringe. The syringe comprises a barrel part, a push rod and an anti-emptying ring, the barrel portion has a connection end and an operation end. The anti-emptying ring is positioned in the cylinder part and is close to the connecting end of the cylinder part; the push rod is partially located in the cylinder part and partially exposed out of the cylinder part, the push rod can slide relative to the cylinder part, and when the push rod is pushed in place, the push rod abuts against the anti-emptying ring. The invention further discloses an injection device special for angiography. The injection device comprises the injector and a three-way pipe. The three-way pipe comprises a first pipeline, a second pipeline and a third pipeline, the first pipeline is communicated with the third pipeline, the third pipeline is communicated with the second pipeline, the first pipeline is not communicated with the second pipeline, the tail end of the third pipeline is connected with the injector, and during suction, a contrast agent is sequentially input into the third pipeline and the injector from the first pipeline; during pushing injection, the contrast agent is sequentially output to the third pipeline and the second pipeline from the injector. Compared with the prior art, two-dimensional optimization of safety and efficiency is achieved.

Disclosed is a medical imaging system, including a processor circuit configured for communication with an x-ray imaging device movable relative to a patient and an intravascular catheter or guidewire sized and shaped for positioning within a blood vessel of the patient, wherein the processor circuit is configured to receive a first angiographic image of a first length of the vessel and a second angiographic image of a second length of the vessel, wherein the first image is obtained at a first position and the second angiographic image is obtained at a second position. The processor is further configured to generate a roadmap image of a combined length of the blood vessel by combining the first image and the second image, and to receive intravascular data associated with the blood vessel, and to co-register the intravascular data to corresponding locations in the roadmap image; and output the roadmap image and a graphical representation of the intravascular data at the corresponding locations in the roadmap image.

A computer-implemented method of processing repeat B-scans of an imaged region of a body part, the imaged region including an anatomical feature in a first subregion and vasculature of interest in a second subregion of the imaged region, to generate cropped B-scans for use in generating OCT angiography data which provides a representation of the vasculature of interest, the method comprising processing each B-scan of the repeat B-scans by: selecting a subset of the data elements of the B-scan such that the selected data elements are distributed along a representation of the anatomical feature in the B-scan; using the selected data elements to define a respective subregion of interest in the B-scan, which includes OCT data acquired from the second subregion containing the vasculature of interest; and cropping the B-scan to leave the subregion of interest in the B-scan.

The invention relates to a tumor embolic agent dose evaluation method and device, equipment and a storage medium. The method comprises the following steps: acquiring a multi-modal medical image of an interventional object; at least partial region of the interventional object contains a tumor, and the multi-modal medical image comprises tissue images for the tumor collected by at least two imaging modes; performing feature extraction processing on the multi-modal medical image to obtain image omics features and contrast perfusion features in the multi-modal medical image; a reference embolic agent dose required for performing tumor embolic agent interventional treatment on the tumor of the interventional subject is evaluated based on the image omics characteristics and the contrast perfusion characteristics. By adopting the method, the accuracy and feasibility of evaluating the dosage of the tumor embolism agent can be improved, and more reference information can be provided for subsequent medical research.