986 results about "Perfusion" patented technology

A normothermic perfusion circuit can be used to perfuse a donor heart after transportation and before transplantation. The circuit can drain the organ storage container of cold preservation solution, perfuse the aorta of the heart with warm fluid to initiate heart activity, and then perfuse the left atrium of the heart with warm fluid to bolster heart activity and evaluate heart viability. Heart viability can be determined using parameters measured by sensors in the circuit.

A normothermic perfusion circuit can be used to perfuse a donor heart after transportation and before transplantation. The circuit can drain the organ storage container of cold preservation solution, perfuse the aorta of the heart with warm fluid to initiate heart activity, and then perfuse the left atrium of the heart with warm fluid to bolster heart activity and evaluate heart viability. Heart viability can be determined using parameters measured by sensors in the circuit.

The invention provides a pourable tumor organoid vascularization model and a construction method thereof, and relates to the technical field of organoid culture. A temperature-sensitive degradable material and a photo-crosslinking modified temperature-sensitive material are used, the composite stent is printed through two channels, a multi-component gel mask partition curing process is combined, the stability of a perfusion pipeline is improved, and a partitioned highly-bionic complex microenvironment is accurately constructed in a macroscopic three-dimensional space; and constructing to obtain the perfusion tumor organ vascularization model. The model is high in bionic degree and stable in structure, can be applied to deepening cell and microenvironment interaction research and tumor-related drug screening, and has a good application prospect.

The invention relates to the technical field of tumor biomedical engineering and organ chips, in particular to a vascularized gastric cancer organ chip and a preparation method thereof.The chip is composed of an integrated micro-fluidic main body, an annular micro-column array and an optical sealing film, and a central culture cavity is divided into a tumor area and a blood vessel area by micro-columns; the preparation method comprises the following steps: injecting a fibrous protein solution containing human umbilical vein endothelial cells and cancer-related fibroblasts into a vascular region, and adding thrombin for in-situ gelation to form a pre-vascularized network; the method comprises the following steps: mixing a patient-derived gastric cancer organ with a methacrylic acid esterified gelatin pre-polymerized solution, injecting the mixture into a tumor area, and carrying out photo-crosslinking immobilization; culturing for 7-14 days under the dynamic perfusion condition of a mixed culture medium to obtain a three-dimensional gastric cancer organ model containing a capillary network; the method is expected to be used for rapid, low-cost and high-throughput screening of chemotherapy or anti-angiogenesis drugs and accurate prediction of individual curative effects of patients.

The invention provides a real-time processing method for endoscopic image blood vessel enhancement and microcirculation evaluation, which comprises the following steps of: processing an original endoscopic image, and locally enhancing a brightness channel through a contrast-limited adaptive histogram equalization technology; self-adaptive frequency domain-space domain decomposition is realized based on local texture complexity analysis; performing multi-scale Hessian matrix blood vessel detection on the low-frequency component; applying a directional Gabor filter bank to the high-frequency component; spatial-temporal feature fusion is realized through multi-resolution pyramid optical flow calculation; synchronously completing blood vessel probability prediction, blood vessel diameter estimation and blood flow direction prediction by using a lightweight multi-task deep learning network; the blood flow velocity is analyzed and calculated based on a speckle mode, the perfusion density is subjected to accelerated statistics through an integrogram, and vascular morphological parameters are extracted by adopting an improved skeleton algorithm. According to the invention, an enhanced blood vessel visualization effect and a real-time microcirculation quantitative evaluation function can be provided, and the overall improvement of the endoscope image processing quality and efficiency is realized.

Disclosed are systems and methods for continuously detecting, and optionally classifying, abnormal perfusion patterns in tissue by means of fluorescence imaging. A computer implemented method for detecting (and / or identifying) one or more areas having an abnormal perfusion pattern in tissue of a subject, for example during a medical procedure, includes: continuously acquiring fluorescence images of the tissue, wherein the fluorescence images are associated with a fluorescent output signal correlated with an input signal defined by a series of boluses of at least one fluorescent imaging agent, and wherein the series of boluses is administered with a predefined and / or controlled duration between subsequent boluses, analyzing the fluorescence images, identifying at least one tissue area with normal perfusion, defining a normal perfusion pattern (in an intensity domain and) in a time domain, and detecting, in the fluorescence images, possible tissue areas with abnormal (non-normal) perfusion pattern.

The invention discloses a method for training a thrombolysis adaptability evaluation model and a related product. The method comprises the following steps: acquiring brain perfusion image data, a brain perfusion parameter map, clinical data and treatment data; performing region-of-interest extraction on the cerebral perfusion parameter map to obtain an attention map containing a core infarction region and an ischemic penumbra sensing region; multiplying the brain perfusion image data by the attention map to obtain weighted brain perfusion image data; the first labeling information and the second labeling information are used for labeling whether thrombolysis treatment is carried out or not and labeling the effect grade after thrombolysis treatment is carried out; and inputting the weighted brain perfusion image data, the brain perfusion parameter diagram, the clinical data, the first annotation information and the second annotation information into a thrombolysis adaptability evaluation model as training data so as to train the thrombolysis adaptability evaluation model. By utilizing the scheme disclosed by the invention, the thrombolysis adaptability and treatment effect prediction accuracy can be improved, and a more reliable basis is provided for clinical decision making.

The invention discloses a myocardial perfusion image classification method and system based on a single resting state, and belongs to intelligent analysis and auxiliary diagnosis of medical images. The method comprises the following steps: acquiring SPECT three-dimensional voxel data in the single resting state, and performing image reconstruction by adopting an OSEM algorithm; segmenting the myocardial region by using a pre-trained U-Net convolutional neural network, and mapping a segmentation result to a two-dimensional polar coordinate graph conforming to the AHA17 segment model; extracting a multi-dimensional feature vector; a single-phase inference model MSR-Net based on biphase labeling is constructed, in the training stage, segment classification labels of resting-load biphase images are used, in combination with segment consistency indexes, label correction is carried out, and in the inference stage, only resting state features are input, and then a pixel-level perfusion defect distribution diagram and ischemia scores of 17 myocardial segments can be output. Quantitative and segmental evaluation of myocardial ischemia can be completed by using single resting state imaging, exercise or drug load examination is avoided, and cardiovascular adverse events and complication risks are reduced.

The invention relates to the technical field of intelligent nursing, in particular to an electrical impedance tomography-based pressure sore risk perception and prevention control system, which comprises an EIT signal acquisition module, an impedance trend grading module, a risk area judgment module, a bed body intervention control module and an intervention feedback regulation module. According to the invention, through an electrical impedance imaging principle, fine distinguishing of body surface and superficial tissue physiological states of a patient is realized, multi-region impedance signals are continuously collected and dynamically integrated, local tissue perfusion changes and abnormal stress trends are accurately mapped, high-risk regions are automatically identified and classified, bed body action intervention is triggered in real time, and an intervention effect is dynamically tracked; according to the method, intervention parameters are cooperatively adjusted, the response logic and the intervention rhythm of each region are gradually improved, intelligent risk judgment and closed-loop adaptive intervention are completed, individuation, initialization and process data traceability in a nursing scene are promoted, and adaptive response aiming at complex illness conditions and variable nursing requirements is supported.

The application belongs to the technical field of animal models for basic scientific research, and particularly relates to a method for establishing an acute lung injury animal model, which comprises the following steps: sending a podophyllotoxin or a podophyllotoxin reagent into a rat body through oral administration or intragastric perfusion to obtain the acute lung injury animal model. The method for establishing the acute lung injury animal model provided by the application uses the podophyllotoxin as an inducer for establishing a mouse acute lung injury model, and the mouse can orally take or intragastrically perfuse the podophyllotoxin to achieve the method, without needing a special medicine injection device, so that the method is simple in medicine taking, few in experimental steps, and does not need complex surgical operations.

The balloon catheter blood pump comprises a pump body, a flow guide cone, a tail sleeve, a five-cavity catheter, a balloon and an impeller rotor assembly, the pump body comprises an inflow cage, a middle section and an outflow cage, the outflow cage end of the pump body is connected with the flow guide cone, the flow guide cone is connected with the tail sleeve, the tail sleeve is connected with the five-cavity catheter, and the five-cavity catheter is connected with the impeller rotor assembly. The two ends of the balloon are fixed to the middle section of the pump body in a sleeved mode, five round holes are formed in the cross section of the five-cavity catheter and include two flushing fluid perfusion holes, a wiring hole, a balloon injection hole and a center hole, the impeller rotor assembly comprises an impeller, an impeller shaft, a bearing and a flexible transmission shaft, and the impeller is installed at the far end of the impeller shaft and arranged in the pump body. A bearing is arranged between the impeller shaft and the inner wall of the flow guide cone, the near end of the impeller shaft is connected with the far end of a flexible transmission shaft, the flexible transmission shaft penetrates through the center hole, a gap a is reserved between the impeller shaft and the flow guide cone in the radial direction, and a gap b communicated with the gap a is reserved between the impeller and the flow guide cone in the axial direction.

A blood pump-oxygenator system (250A, 250B, 250C) for increasing perfusion and oxygen levels in the body of a patient (P), comprising: a blood inlet (80) and a blood outlet (90) connected to form a circuit operable as a cardiopulmonary bypass system suitable for extracorporeal treatment of the blood of the patient; a first blood pump (11) and a first oxygenator (20), wherein the first blood pump (11) is configured to deliver blood from the patient (P) through the circuit to the blood inflow port (80), through the first oxygenator (20), out of the blood outflow port (90) and back to the patient (P). The system further comprises a second blood pump (13) and a second oxygenator (21), wherein the second blood pump (13) is configured to deliver blood from the patient (P) through the circuit to the blood inflow port (80), through the second oxygenator (20), out of the blood outflow port (90) and back to the patient (P). The circuit comprises a first branch (101) and a second branch (102) arranged in parallel with each other, the first branch (101) accommodating the first blood pump (11) and the first oxygenator (20), and the second branch (102) accommodating the second blood pump (13) and the second oxygenator (21). The system further comprises a pump control unit (290) wherein the first and second blood pumps (11, 13) are configured to be controlled by the pump control unit (290) to increase or decrease the blood flow through the corresponding oxygenator (20, 21) by changing the proportion of the blood flow through the first and second oxygenator (20, 21).

Systems and methods are provided for reducing the reliance on operator skill during vascular ultrasound procedures. The placement of an ultrasound probe to assess perfusion associated with a wound may be facilitated by receiving input suitable for identifying an anatomical region associated with the wound and providing an indication of a suitable initial probe position, and optionally, probe orientation, for acoustically interrogating a target arterial vessel known to provide perfusion to the anatomical region associated with the wound. Regions exhibiting arterial flow may be detected as the probe is moved, enabling arterial vessel detection and localization. A subregion within the detected arterial vessel and a beam steering angle may be autonomously determined for spectral Doppler data collection, enabling the measurement of hemodynamic measures associated with the arterial vessel. Example apparatus for securing the probe to the patient and facilitating probe positioning to search for a target vessel are disclosed.

The invention discloses a brain tumor disease treatment effect evaluation method, and belongs to the technical field of radiotherapy plan evaluation, and the method specifically comprises the steps: obtaining the brain multi-modal image data of a patient, and extracting a three-dimensional tumor region and a corresponding perfusion parameter; constructing a biological target region hierarchical structure containing a tumor overall region and an anoxic subregion; a relative hypoxia degree parameter is obtained by calculating the cerebral blood flow ratio of the hypoxia subregion to other regions of the tumor; historical treatment case data are deconstructed, and a dose-curative effect associated parameter set is established; training and outputting a dose adjustment strategy model for the hypoxia subregion; and generating a final radiotherapy dose planning scheme according to a dose adjustment value output by the model in combination with a clinical guide basic dose. Through a data-driven dose decision-making mechanism, the limitation of traditional uniform dose irradiation is overcome, so that an objective and reliable evaluation basis is provided for clinical selection and optimization of personalized treatment schemes.

Disclosed are methods, systems, and a device for automated interpretation of cardiac magnetic resonance imaging. A method includes acquiring a sequence of radiographic images of a heart, including at least one of: a cine MRI, a late gadolinium enhancement, a T1 mapping, a T2 mapping, a perfusion imaging, a flow quantification, a dark blood imaging, a real-time imaging, a magnetic resonance spectroscopy, or a parametric mapping sequence. Further, the method processes the sequence of radiographic images using one or more machine learning models. Additionally, the method generates a diagnostic prediction using the machine learning models. The diagnostic prediction is a screening prediction of a cardiac anatomy, a diagnostic suggestion of a cardiovascular condition, a quantitative assessment of a cardiac function parameter, a structured radiographic report, a natural language summary, or a diagnostic rationale. A diagnostic prediction is output to an electronic system.

The invention provides a heart in-vitro perfusion and static preservation system based on a heart supply transfer box, and the system comprises a data acquisition module which is used for carrying out the basic state inspection of a box body, the environment detection of the box body, the environment adjustment, and the heart detection and positioning; the intelligent filling module is used for automatically filling and monitoring medicines; the activity monitoring module is used for calculating a heart electrophysiological activity index, an epicardial injury parameter and a lactic acid uptake ratio to obtain a heart activity index; the intelligent evaluation module is used for constructing a coupling model, outputting a heart supply real-time quality score and injury trend prediction, and carrying out heart abnormity monitoring and alarming; the energy consumption management module is internally provided with a solid-state high-specific-energy lithium battery pack and is used for performing energy consumption prediction and optimization; and the security monitoring module is used for data compression, hierarchical uploading and remote encryption control. The method can standardize the operation of the donor heart preservation process, greatly reduces personal errors, improves the quality and availability of remote heart transfer and preservation, reduces the risk of organ scrap, and relieves the contradiction between supply and demand.

The invention, which belongs to the technical field of medical image processing and computer vision, discloses a multispectral imaging-assisted post-radiotherapy skin injury early detection system comprising a multispectral data acquisition module, a deep tissue feature extraction module, a three-dimensional lesion segmentation module and a space-time tracking evaluation module. The subcutaneous 2.5 cm depth tissue information is obtained through multispectral imaging at the wave band of 400-1350nm, blood perfusion, melanin concentration, collagen structure and other physiological parameters are inversed based on the radiation transfer theory, a three-dimensional medical image segmentation algorithm is adopted to achieve three-dimensional accurate segmentation of an injury area, a spatio-temporal evolution model is established to predict the injury development trend, and the damage development trend is predicted. The radioactive skin injury can be detected in the subclinical period, the detection time window is advanced by 5.2 days on average, the occurrence rate of severe dermatitis is reduced by 65%, and a basis is provided for clinical timely intervention.

The invention discloses a visual monitoring method assisted by an AI image recognition algorithm in a transparent working sleeve under a spine endoscope, and relates to the technical field of medical instruments, and the method comprises the following steps: collecting a torque waveform, a perfusion pressure signal and a cavity pressure signal under a unified event time base line, constructing a resonance frequency band spectrum, and obtaining a resonance frequency band spectrum; calculating a resonance pressure index and extracting a phase evolution trajectory for liquid level distortion reconstruction; and under the constraint of the resonance pressure index and the phase evolution trajectory, recovering the liquid level phase, reconstructing a lens phase field in front of the camera, calculating a view distortion gradient, and determining a liquid level dynamic distortion core area. According to the method, a resonance dynamic map is constructed through multi-source data fusion, a liquid level potential field is reconstructed, a visual field distortion area is locked, artifacts are eliminated in combination with image feature recognition, perfusion control is reversely driven based on a reliable visual field state, and a closed-loop regulation and control strategy with time reversal gating and self-adaptive updating capacity is formed. And stable and intelligent control of the visual field in the operation is realized.

The invention belongs to the field of bladder cancer treatment, and particularly relates to a drug delivery system based on combination of a biodegradable magnesium alloy stent and a double-J tube. The system comprises a biodegradable magnesium alloy stent and a double-J tube, the surface of the biodegradable magnesium alloy stent is modified by a calcium phosphate coating to form a fine needle-shaped micro-nano structure, and the biodegradable magnesium alloy stent loads an anti-cancer drug oridonin. The biodegradable magnesium alloy stent loaded with oridonin is accurately attached to a tumor part by means of ultrasonic guidance, and the double-J tube and the biodegradable magnesium alloy stent are combined for use. According to the invention, the loading efficiency of the hydrophobic drug is improved through the modification of the micro-nano structure of the calcium phosphate coating, and the anti-tumor effect of the magnesium degradation product is cooperated, so that the problems of high frequency, high toxicity and poor compliance of traditional bladder cancer perfusion treatment and difficulty in delivery of Ori and other natural drugs are solved, and finally, accurate, long-acting and low-toxicity treatment of bladder cancer is realized.

The invention relates to a control method and device of an extracorporeal circulation system, computer equipment and a storage medium. The method comprises the steps that current perfusion parameters and target perfusion parameters are obtained, parameters of a state space model are updated according to the current perfusion parameters, the target perfusion parameters and the state space model, an updated state space model is obtained, and then the current perfusion parameters are adjusted according to the current perfusion parameters and the updated state space model; therefore, during regulation and control, the target perfusion parameter is considered, the state space model is updated according to the target perfusion parameter and the current perfusion parameter, then the current perfusion parameter is used as the initial value of the updated state space model, and the current perfusion parameter is regulated, so that automatic regulation is realized, the manual regulation time of an operator is shortened, and the manual regulation efficiency is improved. And the adjusting efficiency is improved. Meanwhile, the risk of postoperative organ injury of the patient is reduced and the recovery speed of the patient is accelerated through reasonable tissue perfusion, and the treatment overhead of the patient is reduced to a certain extent.

The invention discloses a disposable isolated organ continuous oxygenation mechanical perfusion circulation system and a working method. A circulation pipeline of the circulation system is provided with a to-be-carried oxygen conveying pipeline and an oxygen-carrying perfusion pipeline; the output end of the organ low-temperature storage container is connected to the to-be-carried oxygen conveying pipeline, and the pump pipe and the oxygenator are arranged on the to-be-carried oxygen conveying pipeline; the organ transfer sleeve assembly is detachably mounted on the organ tray assembly; the organ tray assembly is arranged in a cavity of the organ low-temperature storage container; the output end of the oxygenator is connected to the oxygen-carrying perfusion pipeline, the automatic bubble separator installed on the oxygen-carrying perfusion pipeline is connected to the input end of the organ transfer sleeve assembly, and the pressure sensor is installed on the oxygen-carrying perfusion pipeline. The device has the following advantages: the device has an automatic bubble removal function; on the basis of a low-temperature mechanical perfusion function, the oxygenation function is achieved; light weight is taken into account, and portable transfer of perfusion equipment is facilitated; the method has higher safety and reliability.

The invention discloses a sepsis blood perfusion dynamic monitoring method combining blood oxygen and blood flow parameters, and belongs to the technical field of medical monitoring. The method specifically comprises the following steps: S1, constructing a sepsis patient grading evaluation diagnosis and treatment model, and obtaining sepsis patient information, index data, sepsis severity at that time, a treatment scheme and post-treatment index data to train the model; s2, information and index data of current sepsis patients are collected, blood flow and blood oxygen are measured, the current sepsis patients are matched through the sepsis patient grading diagnosis and treatment model, the severity degree of sepsis of the current patients is judged, and the information, the index data and the severity degree of sepsis of the current patients are displayed. By acquiring basic information, physiological indexes, severity, treatment schemes and post-treatment data of sepsis patients, a database covering a whole diagnosis and treatment process is constructed, so that the model can learn association between different patient features and diagnosis and treatment results, and comprehensiveness of evaluation and prediction is improved.

The catheter comprises a catheter body and a camera shooting assembly, the catheter body comprises an operation part and an intubation tube from the near end to the far end, and the camera shooting assembly comprises a camera installed at the head end of the intubation tube. The operation part comprises an operation part shell, and a perfusion joint, a suction joint and an instrument inlet which are arranged on the operation part shell; a liquid outlet channel and a liquid inlet channel are arranged in the intubation tube, and the liquid outlet channel and the liquid inlet channel are arranged separately; the cannula comprises a main tube section, a bent section and a head end in the extending direction from the near end to the far end, the bent section is driven by the operation part to drive the head end to deflect, and the flexible tube wall at least partially limits the boundary of the liquid inlet channel and / or the liquid outlet channel.

Disclosed are methods, systems, and a device for automated interpretation of cardiac magnetic resonance imaging. A method includes acquiring a sequence of radiographic images of a heart, including at least one of: a cine MRI, a late gadolinium enhancement, a T1 mapping, a T2 mapping, a perfusion imaging, a flow quantification, a dark blood imaging, a real-time imaging, a magnetic resonance spectroscopy, or a parametric mapping sequence. Further, the method processes the sequence of radiographic images using one or more machine learning models. Additionally, the method generates a diagnostic prediction using the machine learning models. The diagnostic prediction is a screening prediction of a cardiac anatomy, a diagnostic suggestion of a cardiovascular condition, a quantitative assessment of a cardiac function parameter, a structured radiographic report, a natural language summary, or a diagnostic rationale. A diagnostic prediction is output to an electronic system.

The invention relates to the technical field of image processing, and discloses an interventional navigation method and system based on multi-modal image fusion. The method comprises the following steps: segmenting CT angiography data to form a three-dimensional vascular skeleton model, calculating MRI perfusion data to generate a vascular flow velocity field, and constructing a vascular geometric constraint matrix; performing diffusion reconstruction on the constraint matrix and the instrument position information, and outputting an instrument motion prediction track; estimating the postures of the tips of the X-ray perspective imaging instruments to form instrument-blood vessel space correlation features; safety navigation constraint parameters are generated through distance field calculation; and generating a real-time navigation instruction containing a propulsion distance and a rotation angle by adopting a path planning algorithm. The technical problems that in a traditional interventional navigation system, multi-modal image data fusion is insufficient, instrument motion prediction is inaccurate, and a safety constraint mechanism is incomplete are solved, and the precision, safety and real-time performance of interventional operation navigation are improved.

The invention discloses a robot guide path optimization method and system for gastrointestinal tumor assisted surgery, particularly relates to the technical field of robot assisted navigation, and is used for solving the problem of unstable and inaccurate path planning. According to the method, fusion of multi-modal information under the unified time and space is achieved through space-time alignment of a preoperative model and intraoperative perception data, registration uncertainty and visibility indexes are dynamically calculated, and the fusion of the multi-modal information under the unified time and space is achieved through construction of an anatomical risk layer, a forbidden zone, geometric stenosis, perfusion evidence, a collision distance margin and a puncture point remote rotation center constraint satisfaction degree. A multi-channel path cost graph is generated, the safety of the path is evaluated, a constraint propagation and regulation causal graph mechanism is combined, a conflict solution contribution degree and a path optimization priority sequence can be rapidly output, it is ensured that the robot executes the optimal path in a complex anatomical environment, a conservative mode is switched when a key risk index triggers a threshold value, and the optimal path is obtained. Real-time regulation and control and safety guarantee are achieved, and the stability of the operation process is improved.

The invention discloses a perfusion-free parallel double-cell intestine-liver chip system and application thereof in drug uptake evaluation, and belongs to the field of biomedical engineering and organ chips. The chip disclosed by the invention is simple in structure, free of an external pump and a complex pipeline, capable of realizing fluid circulation through swinging, convenient to operate, low in cost and small in pollution risk, and also capable of promoting cell differentiation and optimizing hepatocyte functions. The chip integrates a parallel intestinal cell and a liver cell which are communicated through a shared channel, can continuously simulate intestinal absorption and liver first-pass metabolism, and is closer to an in-vivo physiological state. The device adopts a detachable transparent modular design, can be repeatedly used, supports multi-group parallel operation, can improve experimental flux and result repeatability, and is suitable for in-vitro verification of drug absorption, permeability and metabolism evaluation.

The invention provides a bilirubin adsorbing material as well as a preparation method and application thereof, and belongs to the technical field of blood perfusion materials. The bilirubin adsorption material is mainly prepared from chitosan quaternary ammonium salt, microfibrillated cellulose, a surfactant and a cross-linking agent, wherein the surfactant is one or more of lauryl methacrylate, Span 80 and Span 85. The structure of the bilirubin adsorption material is that a hydrophilic polysaccharide chain is stabilized in a pore wall shell, and a hydrophobic chain of a surfactant is repelled and assembled to a pore wall core. When the bilirubin adsorption material adsorbs albumin-bilirubin, the adsorption effect is better than that of MFC / QCS frozen gel, and the adsorption capacity and the adsorption rate are enhanced along with the increase of the concentration of albumin.

The invention discloses a vasospasm risk index generation method and system, and the method comprises the steps: obtaining the original examination data of a preset region blood vessel of a to-be-detected individual, and the original examination data comprises 4D-CTA blood vessel dynamic image data and a CT perfusion parameter graph; based on a double-branch feature extraction network in the vasospasm risk index detection model, features of the 4D-CTA blood vessel dynamic image data and the CT perfusion parameter graph are extracted respectively; and performing cross-modal layer-by-layer fusion on the 4D-CTA blood vessel dynamic image data and the features of the CT perfusion parameter diagram based on a multi-modal fusion module in the vasospasm risk index detection model to obtain a vasospasm risk index of a preset area of the to-be-detected individual. Through fusion of 4D-CTA blood vessel dynamic image data and a CT perfusion parameter map, automatic index generation is realized based on a vasospasm risk index detection model, the limitation of single image modal detection is overcome, and the accuracy, sensitivity and specificity of the index are improved.

Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.