12 results about "Choroid plexus" patented technology

Methods and materials relating to cultured choroid plexus organoids comprising: (a) an epithelium comprising a tight epithelial barrier; and / or (b) one or more cysts surrounded by an epithelium, plus other authentic features and markers.

To provide a selection platform that exploits the physiology of the choroid plexus to identify molecular transport system (MTS) peptides capable of holding various functional cargos in the cerebrospinal fluid and distributing the cargos to cells of the CNS.SOLUTION: Provided are MTS peptides or targeting peptides comprising a specific amino acid sequence. Provided are compositions comprising a peptide, the peptide comprising a first MTS peptide conjugated to a cargo. Methods of using the MTS peptides are also provided. For example, provided is a method for transporting cargo to the CNS, the method comprising administering one or more of the disclosed compositions to a subject in need thereof, the peptide conjugated to the cargo entering the CNS.SELECTED DRAWING: None

The invention discloses a brain venation plexus vesicle segmentation method, and the method comprises the steps: firstly reinforcing the signal contrast of the whole venation plexus through a high-resolution T1 enhanced image, and then achieving the stable segmentation of vesicles through employing the two steps: the whole segmentation of the venation plexus and the segmentation of the vesicles. In the vesicle segmentation process, as the vesicles are filled with cerebrospinal fluid, the difference between a venation plexus entity (high signal) and the cerebrospinal fluid (low signal) in a T1 enhanced image is utilized, a vesicle segmentation reference threshold value is set, and vesicle voxel separation is realized through low-pass filtering. According to the method, the vesicle structure of the cerebral venation plexus can be segmented, the volume of the vesicle structure can be calculated, and the volume of the vesicle of the cerebral venation plexus can be used as an image marker for auxiliary diagnosis of nerve diseases such as Alzheimer's disease.

A cell atlas of the Choroid Plexus is provided and includes novel markers for cell types. Novel cell types and methods of quantitating, detecting and isolating the cell types are disclosed. Methods of treatment, including for oxidative stress in the brain are provided, as well as methods for controlling differentiation, maintenance and / or function of the cell types disclosed herein.

The application discloses a model training method and a segmentation method for automatic segmentation of a choroid plexus image. The method comprises the following steps: acquiring a preprocessed data set; constructing a to-be-trained Swin-UNETR network architecture; training the to-be-trained Swin-UNETR network architecture through the preprocessed data set, so as to obtain a trained model for automatic segmentation of a medical image. Compared with a traditional UNETR method, the model training method for automatic segmentation of the choroid plexus image adopts a Swin Transformer architecture, can more effectively capture multi-scale features of an image, and the Dice coefficient is improved by 5-10%.

Conventionally, the arterial input function is determined by administering a contrast agent and measuring the responsive magnetic signal in a reference voxel located in a large artery such as the middle cerebral artery. By instead measuring the signal in a voxel of the choroid plexus, a more accurate profile for the arterial input function may be obtained. The metabolic activity in the choroid plexus is negligible, which provides greater certainty for signal sampling.

The invention discloses a venation plexus segmentation method based on a mixed attention mechanism, which is mainly used for brain 3D MRI image processing in medical images and aims to improve the automatic segmentation precision of venation plexus. According to the technical scheme of the invention, the method comprises the following steps: S1, collecting a sufficient number of 3D brain MRI images; s2, preprocessing the acquired MRI image, namely uniformly adjusting the size of the image, expanding a data set by using a data enhancement technology (such as translation and rotation), and standardizing the intensity value of the image; s3, constructing a vein plexus segmentation model based on a mixed attention mechanism; s4, inputting the training set processed in the step S2 into the constructed vein cluster segmentation model, performing back propagation optimization on model parameters by using a dice loss function, and performing training through an adaptive moment estimation (Adam) optimization algorithm; s5, inputting a brain MRI image to be segmented into the training model obtained in the step S4 to obtain a segmentation prediction result of the MRI image of the data; according to the method, rapid and accurate vein plexus segmentation can be realized, and more efficient technical support is provided for medical image analysis.

The application discloses a choroid plexus segmentation method and device, applied to the technical field of medical image processing, and comprises the following steps: inputting a brain image into a pre-trained segmentation model to obtain a choroid plexus contour map; wherein the segmentation model comprises an encoder structure, a decoder structure and an output layer; the encoder structure is sequentially provided with a plurality of encoders; the first encoder is used for performing feature alignment and feature extraction on the brain image to obtain the output of the first encoder; the other encoders are used for performing adaptive processing, feature extraction and feature fusion on the input of the other encoders to obtain the output of the other encoders; the decoder structure is jump-connected with the encoder structure; the decoder structure is sequentially provided with a plurality of decoders; each decoder is used for performing decoding processing on the input of the decoder to obtain the output of the decoder; and the output layer is used for obtaining the choroid plexus contour map according to the output of the last decoder. The application effectively improves the segmentation precision of the choroid plexus region in the brain image.

Disclosed are compositions and methods for the treatment of hydrocephalus, for example pediatric hydrocephalus. The disclosed methods employ a non-surgical tool that may be used to control CSF production rate by inducing choroid plexus-specific apoptosis. In aspects, the non-surgical tools employ an AAV vector, a promoter, a suicide gene, and a suicide gene activator to achieve targeted choroid-plexus ablation and subsequent reduction of CSF volume.

The application belongs to the field of image segmentation, and relates to a lateral ventricle choroid plexus segmentation and quantification method based on enhanced T1 weighted magnetic resonance images, S1: obtaining brain enhanced T1 weighted magnetic resonance images and performing pretreatment to obtain standardized brain images; S2: based on the standardized brain images, combining a preset enhancement intensity threshold and a lateral ventricle anatomical position constraint, constructing a choroid plexus candidate region; S3: using a trained choroid plexus segmentation model to perform feature discrimination and segmentation on the choroid plexus candidate region to generate an initial segmentation mask; S4: performing post-processing optimization on the initial segmentation mask to remove false positive regions to obtain a final lateral ventricle choroid plexus segmentation mask; and S5: based on the final lateral ventricle choroid plexus segmentation mask, performing choroid plexus quantification parameter calculation. The problems of low segmentation precision, poor integrity and insufficient stability are solved.

The present invention relates to a composition for detecting the choroid plexus in the brain in an active state using a low-molecular-weight fluorescent material, and use thereof. Particularly, the present invention relates to: a composition for detecting the choroid plexus in the brain, comprising a fluorescent probe compound represented by chemical formula 1 as an active ingredient; a kit for detecting the choroid plexus in the brain, comprising the composition as an active ingredient; and a method for imaging the choroid plexus in the brain. In addition, the present invention relates to: a method for analyzing the choroid plexus in the brain in vitro, comprising a step of treating brain tissue with a brain choroid plexus composition of the present invention and detecting fluorescence generated from a fluorescent probe compound; and a method for screening for a therapeutic agent for a disease caused by an abnormality in the choroid plexus in the brain, comprising a step of treating isolated brain tissue with a candidate compound and a step of detecting fluorescence generated from a fluorescent probe compound after treating the brain tissue with a brain choroid plexus composition of the present invention.

The invention discloses a brain venation plexus segmentation method and device, and is applied to the technical field of medical image processing, and the method comprises the steps: inputting a brain image into a pre-trained segmentation model, and obtaining a venation plexus contour map; wherein the segmentation model comprises an encoder structure, a decoder structure and an output layer, the encoder structure is sequentially provided with a plurality of encoders, and the first encoder performs feature alignment and feature extraction on the brain image to obtain the output of the first encoder; the other encoders carry out adaptation processing, feature extraction and feature fusion on the input of the other encoders to obtain the output of the other encoders; the decoder structure is in jump connection with the encoder structure, the decoder structure is sequentially provided with a plurality of decoders, and each decoder decodes the input of the decoder to obtain the output of the decoder; and an output layer obtains a venation cluster contour diagram according to the output of the last decoder. The method effectively improves the segmentation precision of the venation plexus region in the brain image.