15 results about "Organ region" patented technology

The invention discloses a four-dimensional cone beam CT (Computed Tomography) reconstruction method based on an anatomical prior constraint diffusion model, which mainly solves the problem of poor quality of a reconstructed image in the prior art, and adopts the implementation scheme that the method comprises the following steps: acquiring CT original full-projection data of a batch of patients, and carrying out sparse sampling on the CT original full-projection data; performing data set division and reconstruction on the original full projection data and the sparse projection data to obtain a reference true value and a low-quality CT image containing a large number of artifacts; preliminarily enhancing the CT image containing a large number of artifacts by using the pre-trained ResViT network to obtain a CT image without artifacts; segmenting the CT image without artifacts by using a body segmentation network to obtain anatomical information of each organ; constructing a four-dimensional cone beam CT motion compensation reconstruction model based on anatomical prior constraints, and training and verifying the four-dimensional cone beam CT motion compensation reconstruction model; and inputting the tested data into the trained reconstruction diffusion model to obtain a reconstruction result. According to the method, artifacts of sparse cone beam CT in a specific organ area can be thoroughly eliminated, the reconstructed image is clear in details, and the method can be used for tracking and positioning tumor movement caused by respiration.

The application discloses a field determination method and device, electronic equipment and computer readable storage medium, and relates to the field of medical technology. The method comprises the following steps: acquiring a first score of each field in N fields, which is used for determining the score of the field under the constraint condition set for a planning target volume; acquiring a second score of each field, which is used for determining the score of the field under the constraint condition set for an organ at risk; acquiring a third score of each field, which is used for determining the score of the field under the constraint condition set for other organ regions, wherein the other organ regions are organ regions other than the organ at risk and the planning target volume; and determining M fields as target fields from the N fields according to the first score, the second score and the third score. The application solves the technical problem that the number of fields is minimized and the quality of radiotherapy is high enough in the prior art by relying on expert experience or fixed rules to determine the fields.

The application discloses a liver and bile duct stone positioning analysis method and system based on image processing, relates to the technical field of image data analysis, and comprises the following steps: removing artifacts and noise from multi-modal medical images, reducing the influence of interference factors, and providing a reliable basis for subsequent image feature extraction and analysis. The foreground region represents the liver and bile duct region, and the additional foreground region represents the organ region near the liver and bile duct region, which can also reflect the condition of the stone. The image features of all modes are integrated to determine the direct content and indirect content of the liver and bile duct stone, and the position information and related information of the liver and bile duct stone are inferred by combining the direct content and indirect content of the liver and bile duct stone, so that the direct and indirect manifestations of the stone on the image are comprehensively reflected and analyzed to reflect and analyze the condition and position of the liver and bile duct stone, the accuracy and adaptability of liver and bile duct stone positioning analysis are improved, the reliability of the doctor's reference is ensured, and the treatment and reference of the doctor are indirectly helped.

This invention discloses an intelligent identification method for hepatobiliary and renal stones based on ultrasound images, belonging to the field of stone identification technology. The method includes the following steps: acquiring an ultrasound image to be detected and marking it as a real-time detection image; obtaining real-time detection grayscale values ​​based on the real-time detection image; obtaining organ grayscale thresholds based on ultrasound images in a database; obtaining real-time organ regions based on the real-time detection grayscale values ​​and organ grayscale thresholds; constructing real-time stone detection values ​​based on the real-time organ regions; obtaining historical normal boundary values ​​based on ultrasound images in a database; obtaining stone boundary thresholds based on the historical normal boundary values; and determining whether gallstones are present based on the real-time stone detection values ​​and stone boundary thresholds. This invention addresses the problem that existing stone identification technologies suffer from poor accuracy due to significant noise in ultrasound images.

The invention relates to the field of data enhancement, in particular to a data enhancement system and method for small sample medical image annotation, and the system comprises the steps: setting a lesion analysis module, a data processing module, an annotation interference module and a data enhancement module, determining a plurality of illness state affected organs, carrying out the lesion analysis, calculating a lesion occurrence characterization value, and determining a lesion analysis organ. Determining a texture discrete characterization value and an organ covering characterization value, determining an organ adhesion area based on the texture discrete characterization value, analyzing the edge texture trend of the organ adhesion area to obtain a reference path band so as to determine an interference organ area, calculating a labeling interference coefficient, and calling a data enhancement model to obtain an enhanced organ area, and completing labeling of the medical image picture of the enhanced organ region. According to the method, for the organs which may have lesions, the adhesion areas are divided, the interfering organ areas are determined, the data enhancement model is called according to the annotation interference coefficient, data annotation is completed, and the accuracy and efficiency of data annotation are improved.

Disclosed is a system for improving visibility of a lesion, the system including: a visibility v improvement device configured to implement a function of improving the visibility of the lesion contained in a medical image, the function including: segmenting an organ region of interest and a surrounding region by inputting the medical image to a deep learning model trained in advance, generating rendering images suitable for improving the visibility of the organ region of interest and the surrounding region, respectively, and generating a readable image by merging the rendering image of the organ region of interest and the rendering image of the surrounding region.

The application discloses a kind of medical image segmentation methods and systems for abdominal CT image, it is related to medical image processing technical field, including: obtaining three-dimensional CT body data, is divided into training dataset and inference dataset;Training data set is input into segmentation model and is trained, and the segmentation model after training is obtained;Inference data set is input into the segmentation model after training, executes segmentation step and obtains class probability graph, class label graph is obtained by processing class probability graph, finally obtains three-dimensional segmentation body;Three-dimensional segmentation body is post-processed using connected domain post-processing rule, and finally multi-class segmentation result is obtained.The application adopts the above-mentioned medical image segmentation method and system for abdominal CT image, through the joint design of training stage, inference stage and post-processing stage, improve the segmentation precision and output stability of complex boundary region, small organ region and target organ overall structure.

The application discloses a kind of space-time puncture path planning system and method based on linear constraint, it is related to puncture path optimization technical field.The method collects CT image data of patient chest and abdomen under different respiratory phase, constructs displacement vector field and organ movement heat map based on CT image data;Based on preset skin needle entry point, tumor target and organ movement heat map, determine candidate intermediate point in chest and abdominal organ region, and generate key point set;Based on the connection rule, the skin needle entry point in the key point set, candidate intermediate point and tumor target are connected to form at least one path edge;According to organ movement heat map, the comprehensive weight of path edge is calculated, and the weighted directed graph is constructed;Path search is carried out in the weighted directed graph, and candidate path set is generated;According to the cost of each candidate path calculated according to the comprehensive weight, the final puncture path is selected, which improves the intraoperative puncture precision and reduces the risk of complications.

The invention is entitled "Augmenting visualization of organ electrical activity." The invention discloses methods, apparatuses, and systems for medical procedures, and the method includes sensing, by one or more electrodes on a catheter, a plurality of tissue potentials at an organ region of an organ, determining, from the plurality of first tissue potentials, a number of peak potentials such that the peak potentials exceed a potential threshold, determining, based on the number of peak potentials, a first visual characteristic, and displaying a rendering of the organ including the organ region such that the rendering of the first organ region includes the first visual characteristic.

The invention discloses a data processing method applied to radiotherapy and a related device. The method comprises the following steps: acquiring a plurality of two-dimensional images corresponding to an object to be subjected to radiotherapy; in response to an organ selection operation of an operator, displaying a three-dimensional organ region corresponding to the selected organ on the three-dimensional sketching interface; in response to a three-dimensional sketching operation of an operator on the three-dimensional sketching interface, determining a three-dimensional sketching area corresponding to the three-dimensional sketching operation in the three-dimensional organ area; and based on the plurality of two-dimensional images and the three-dimensional delineation areas, determining the three-dimensional delineation areas and a plurality of two-dimensional delineation areas in one-to-one correspondence with the plurality of two-dimensional images, the plurality of two-dimensional delineation areas being used for performing radiotherapy on the object to be subjected to radiotherapy. According to the method, an operator is enabled to perform three-dimensional sketching on the three-dimensional organ region, then the three-dimensional sketching region corresponding to the three-dimensional sketching is inversely analyzed into the plurality of two-dimensional images, and the plurality of two-dimensional sketching regions can be obtained through one-time three-dimensional sketching, so that the sketching efficiency is improved on the premise of ensuring the sketching accuracy.

The present application relates to the technical field of puncture path planning, in particular to a puncture path planning method for severe acute pancreatitis abdominal puncture drainage. First, a three-dimensional model of the abdominal cavity is constructed by fusing CT images and MRI images and tissue regions (organ regions, blood vessel regions, lesion regions) are segmented, and candidate paths are generated based on target positions and preset body surface entry points. Then, risk coefficients are calculated based on the geometric characteristics (angle, length, and proximity to tissue regions) of the candidate paths, and the preliminary optimal paths are screened. Further, the puncture body position and the direction of the gravity component are determined in combination with the sagittal / coronal position relationship, the tissue density distribution is analyzed, and the tissue deformation interference index is quantified. Finally, the risk coefficients and the deformation index are fused to realize the re-screening of the paths, determine the optimal and alternative paths, so as to effectively avoid key tissue structures and reduce the risk of intraoperative displacement, and improve the puncture accuracy and stability.

The invention relates to the technical field of fish detection, in particular to an automatic evaluation method for a fish liver fat deposition state based on image segmentation and color feature analysis, and the method comprises the following steps: obtaining an image; segmenting organs; feature extraction: extracting an organ image based on the segmentation mask of the organ region, converting the organ image into an HSV color space, calculating color moment features of each channel of H, S and V, the color moment at least including a first moment, a second moment and a third moment; and fat deposition determination: inputting the color moment characteristics into a classification model to obtain a fat deposition state evaluation result of the liver, and the method can automatically identify a target organ region in an anatomical image and perform objective and quantitative evaluation on the fat deposition state of the liver based on the color characteristics with clear physical significance. By constructing an image processing flow consisting of organ segmentation, color feature extraction and classification judgment, the method can realize efficient, standardized and interpretable automatic evaluation of the fish liver fat deposition state.

The application discloses an organ segmentation modeling method and terminal based on medical images, receives inputted continuous medical images, obtains a first image containing a target organ from the continuous medical images, receives positive and negative control points marked on the first image, identifies the target organ on the first image according to the marking result, continuously tracks the organ in the continuous sequence images in the section based on the identified organ region, and further completes automatic identification of the whole organ, generates a three-dimensional model of the organ based on the original section continuous images, establishes at least two other section continuous medical images according to the inputted continuous medical images, and identifies and models the organ in the other section continuous medical images. Finally, the three-dimensional segmentation model of the target organ is obtained by calibrating all the section models, and accurate organ segmentation results are ensured.

The invention discloses a space-time puncture path planning system and method based on linear constraint, and relates to the technical field of puncture path optimization. The method comprises the following steps: acquiring CT image data of the chest and abdomen of a patient under different breathing phases, and constructing a displacement vector field and an organ movement heat map based on the CT image data; determining candidate intermediate points in the thoracic and abdominal organ region based on a preset skin needle insertion point, a tumor target point and an organ movement heat map, and generating a key point set; on the basis of a preset connection rule, the skin needle inserting points, the candidate intermediate points and the tumor target points in the key point set are connected to form at least one path edge; calculating the comprehensive weight of the path edge according to the organ movement heat map, and constructing a weighted directed graph; performing path search in the weighted directed graph to generate a candidate path set; the cost of each candidate path is calculated according to the comprehensive weight, the final puncture path is selected, the intraoperative puncture precision is improved, and the complication risk is reduced.

A data processing method applied to radiotherapy, and a related apparatus. The method comprises: acquiring a plurality of two-dimensional images corresponding to an object to be subjected to radiotherapy; in response to an organ selection operation of an operator, displaying, on a three-dimensional delineation interface, a three-dimensional organ region corresponding to a selected organ; in response to a three-dimensional delineation operation of the operator on the three-dimensional delineation interface, determining a three-dimensional delineation region in the three-dimensional organ region which corresponds to the three-dimensional delineation operation; and on the basis of the plurality of two-dimensional images and the three-dimensional delineation region, determining a plurality of two-dimensional delineation regions of the three-dimensional delineation region which correspond to the plurality of two-dimensional images on a one-to-one basis, wherein the plurality of two-dimensional delineation regions are used for performing radiotherapy on said object. By means of the method, an operator first performs three-dimensional delineation on a three-dimensional organ region, and then inversely parses onto a plurality of two-dimensional images a three-dimensional delineation region corresponding to the three-dimensional delineation, and thus a plurality of two-dimensional delineation regions can be obtained by means of one instance of three-dimensional delineation, thereby improving the efficiency of delineation while ensuring the accuracy of delineation.