16 results about "Vascular imaging" patented technology

This invention discloses a fluorescence-enhancing nanoparticle, its preparation method, and its applications, relating to the fields of organic fluorescent molecules and bioimaging technology. The nanoparticle comprises: NIR-II fluorescent molecules and an amphiphilic polymer encapsulating the NIR-II fluorescent molecules; the amphiphilic polymer has a hydrophilic segment and a rigid hydrophobic segment. The nanoparticle of this invention, based on "carrier microenvironment engineering," utilizes the rigid confinement and interfacial isolation provided by the amphiphilic polymer with the rigid hydrophobic segment for dual brightening, serving as a universal brightening platform applicable to various NIR-II fluorescent molecules. This nanoparticle can significantly improve aqueous phase quantum yield, enhance contrast and resolution in in vivo vascular imaging, improve deep tissue penetration, increase imaging sensitivity, and facilitate detection under low signal conditions. It also exhibits good stability and biocompatibility, supporting lesion imaging and intraoperative navigation applications.

The application relates to an identification method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining a blood vessel image of an eye to be examined, the blood vessel image being generated by optical coherence tomography blood vessel imaging; obtaining statistical features of a macular region in the blood vessel image; and identifying a non-perfusion region in the blood vessel image based on the statistical features. The method can effectively improve the flexibility of identifying the non-perfusion region.

This application provides an adaptive infrared vascular imaging enhancement method and apparatus based on image entropy feedback. It achieves precise adaptive adjustment of infrared emission power through local information entropy calculation and a proportional-integral-differential controller. An enhancement mechanism is constructed, combining multi-scale Gaussian smoothing and Hessian matrix eigenvalue analysis to establish a reliable vascular response extraction strategy. Structural analysis optimization is introduced, iteratively refining skeleton extraction and cross-point calculation to ensure continuous improvement in vascular cross-point localization. This method effectively addresses the shortcomings of traditional techniques in exposure adaptation, vascular enhancement, and topology analysis, providing technical support for infrared vascular imaging-assisted diagnosis.

The application discloses a kind of human peripheral blood vessel photoacoustic three-dimensional imaging device and imaging method thereof, belong to blood vessel imaging field.The application provides detailed blood vessel structure and blood flow dynamic information by high resolution and functional monitoring ability of photoacoustic imaging, promote early identification and treatment effect evaluation to common pathological changes such as diabetic foot and peripheral arterial disease;Meanwhile, the application adopts mechanical system, and the detection front end of higher quality can be carried and stably operated, to obtain better photoacoustic imaging result;The application has highly stable precision scanning imaging mode, and various imaging modes are convenient for clinical application;Through the arrangement of imaging tank and its lifting structure, it is ensured that the switching of imaging mode can be applied in limited space, so as to be suitable for gantry type three-dimensional mobile device layout.The application is expected to promote the portability of equipment, reduce equipment development cost, be widely applied in clinical practice and community medical treatment, and improve disease management level.

An X-ray contrast agent (K) is described. The X-ray contrast agent (K) has an X-ray absorption, a variation of the X-ray absorption between at least two different X-ray photon energies (E(1), E(2)) being significantly different from a variation of the X-ray absorption of calcium between at least two different X-ray photon energies (E(1), E(2)). An X-ray imaging method is also described. Furthermore, an image reconstruction apparatus (50) is described. An X-ray imaging system (60) is also described.

Disclosed are methods and systems for phase-stabilized complex decorrelation (PSCD) optical coherence tomography (OCT) angiography (OCTA). In embodiments, a PSCD OCTA method includes performing phase stabilization on a complex-valued OCT data set to generate a phase-stabilized OCT dataset. The method further includes performing a complex decorrelation on the phase-stabilized OCT dataset to generate an OCTA dataset. One or more OCTA images may be generated based on the OCTA dataset. Other embodiments may be described and claimed.

This application relates to a method, system, device, and medium for predicting the trend of vascular crisis in replanted fingers. The method includes: acquiring clinical pathological index data, infrared monitoring image sequences, and visual monitoring image sequences; inputting the visual monitoring image sequences into a neural network model for appearance image feature extraction to extract a feature sequence of the replanted finger's filling state and a feature sequence of the replanted finger's swelling progression; inputting the infrared monitoring image sequences into a neural network model for vascular imaging feature extraction to extract a feature sequence of blood supply patency; concatenating the blood supply patency feature sequence, the replanted finger's filling state feature sequence, and the replanted finger's swelling progression feature sequence to obtain a multi-source image monitoring feature sequence; and inputting the multi-source image monitoring feature sequence and clinical pathological index data into a vascular crisis trend prediction model to generate a vascular crisis level prediction sequence. This method can identify the filling state and swelling progression of the replanted finger, enabling dynamic trend prediction of the risk of crisis.

This invention provides a puncture positioning mechanism and a puncture surgical robot. The puncture positioning mechanism includes: a frame, a spatial motion unit connected to the frame, a puncture execution unit connected to the spatial motion unit, a vascular imaging unit connected to the puncture execution unit, and an image acquisition unit mounted on the frame. The frame supports the spatial motion unit; the spatial motion unit adjusts the position of the puncture execution unit in three different directions; the puncture execution unit adjusts its pitch and yaw angles and performs the puncture action; the vascular imaging unit projects blood vessels onto the skin surface; and the image acquisition unit acquires vascular images. The various units of the puncture positioning mechanism work closely together, from acquiring vascular images and precisely adjusting their positions to providing visual guidance and executing the puncture action, forming a complete and efficient puncture positioning system that significantly improves the accuracy and safety of puncture operations.

The present application relates to the technical field of blood vessel image processing, in particular to a preoperative aneurysm vascular imaging evaluation method and system. According to the position change characteristics of the contrast agent in the complete filling time of the contrast agent, and the morphological characteristics of the blood vessels and the tumor region, the axial morphological efficiency of the tumor region is obtained. For the historical unruptured aneurysm patients, according to the correlation between the sign data distribution of different dimensions and the morphological characteristics of the tumor region, the sign weight of each dimension is obtained. Combined with the differences in sign data of different dimensions between the latest patient and the historical unruptured aneurysm patient, a plurality of historical similar patients are screened out. According to the difference characteristics of the axial morphological efficiency of the tumor region between the latest patient and the corresponding historical similar patient, the aneurysm of the latest patient is evaluated. The present application improves the accuracy of vascular imaging evaluation by accurately analyzing the dynamic diffusion characteristics of the contrast agent and the distribution of the sign data between patients.

This invention discloses a clinical multimodal guided painless flying needle blood collection system, belonging to the field of medical device technology. The system includes a collection tube, a blood collection needle, a flying needle transmitter, an infrared vascular imaging device, a multimodal fusion control unit, and a machine learning optimization module. The flying needle transmitter drives the blood collection needle through an elastic element to complete the puncture at ultra-high speed, with the puncture time shorter than the pain transmission time window, achieving physical painlessness. The blood collection needle integrates an optical sensing unit, utilizing a gradient refractive index lens and a micro-mirror array to achieve multi-directional optical detection and real-time feedback of the three-dimensional interaction state between the needle tip and the tissue. The system integrates infrared images and optical sensing data, and through machine learning optimization, can automatically adjust puncture parameters to achieve precise and adaptive puncture guidance.

This invention discloses a method and system for quantitative analysis of the choroidal capillary layer, relating to the field of vascular imaging technology. The key technical points are: acquiring OCTA volume data; extracting en-face projection images from the OCTA volume data, where the en-face projection images reflect blood flow distribution information in the CC layer; performing dynamic thresholding on the en-face projection images to generate binarized or significantly enhanced images, obtaining the boundary position between the CC layer and the Sattler layer; mapping the boundary position back to the OCTA volume data; determining the lower boundary position of the CC layer in the structural B-scan image sequence corresponding to the OCTA volume data, thus completing the three-dimensional segmentation of the CC layer. This invention achieves stable, repeatable, and accurate definition of the three-dimensional anatomical range of the CC layer, overcoming the shortcomings of existing technologies that rely on fixed thresholds or single image modalities, resulting in subjective segmentation and poor individual adaptability.

The application discloses an OCT blood vessel layering intelligent segmentation system and method, and relates to the technical field of medical image processing.The OCT blood vessel imaging image is acquired and spliced with an initialized feedback correction map, a double-channel segmentation model is input to obtain a first probability map set; a first certainty map is calculated according to the set, and a first segmentation mask is generated; end point sets are obtained through skeletonization and recognition processing, and correction values are calculated based on the end points to update the feedback correction map; the updated feedback correction map is spliced with the first segmentation mask, and second forward propagation, mean value processing and binary processing are performed to obtain a second segmentation mask; whether the Dice similarity coefficient of the second segmentation mask and the first segmentation mask is greater than a preset threshold value is judged, if yes, the second segmentation mask is output, otherwise, the feedback correction map is updated according to the correction value and iteration is continued until convergence or the maximum iteration number is reached; and the application can improve the accuracy and topological coherence of the OCT blood vessel image segmentation result.

This disclosure presents a training scheme for a hemodynamic parameter prediction model, a hemodynamic parameter prediction scheme, corresponding electronic equipment, and a medium. The training method includes: constructing a vascular topology map representing the geometry and connectivity of blood vessels based on acquired cerebral vascular imaging data to obtain a training sample set; inputting the vascular features from the training samples into the hemodynamic parameter prediction model to be trained to obtain predicted hemodynamic parameters for each blood vessel; calculating a comprehensive loss function value based on the predicted hemodynamic parameters, the comprehensive loss function being a weighted sum of a supervision loss term and a physical consistency loss term; adjusting the parameters of the prediction model based on the comprehensive loss function value until a preset convergence condition is met, resulting in a trained hemodynamic parameter prediction model. According to this disclosure, rapid hemodynamic parameter prediction can be achieved without running a full CFD solution.

The application discloses an eye surgery planning method and system based on OCT data modeling, relates to the technical field of surgical plan planning, and the method acquires OCT blood vessel imaging data and structural OCT data of a target eye, performs pixel-level semantic segmentation on pretreated multi-modal OCT data based on deep learning, labels eye structures, associates OCT image features with biomechanical properties, and generates a dynamic eye tissue model; multi-dimensional quantitative features are extracted from the model, input into a hybrid recommendation engine, combined with collaborative filtering based on historical case similarity and sequence decision based on reinforcement learning and model interaction, and a surgical planning scheme is generated. The application solves the problem that existing surgical planning methods highly depend on subjective experience of doctors and cannot extract complete eye lesion features from single static data, improves the modeling accuracy of OCT data, realizes dynamic capture of the eye state, and improves the precision and automation level of surgical planning.

The application belongs to the technical field of disease diagnosis, and particularly relates to the use of CX3CL1 as a biomarker of acute type A aortic dissection. The application finds that CX3CL1 is a key inflammatory mediator of acute type A aortic dissection, and its plasma level is significantly positively correlated with neutrophil infiltration, IL-6, IL-8, IL-10, D-dimer and NT-proBNP. It is proved by characteristic curve analysis that there is a significant correlation between the CX3CL1 level and the severity of ATAAD. By evaluating the expression level of CX3CL1 protein in peripheral blood of a subject, an evaluation result related to the risk of suffering from acute type A aortic dissection is generated, non-invasive, fast and low-cost detection can be realized, and the problem that patients with renal dysfunction or contrast agent allergy cannot use CT angiography for diagnosis is solved.