3 results about "Pons" patented technology

The present application discloses an image processing method, system, electronic device and storage medium. Among them, the image processing method includes: inputting a first target magnetic resonance image into a brainstem generation model for modeling processing to obtain a three-dimensional brainstem image, and obtaining a target brainstem image according to the three-dimensional brainstem image; inputting the target brainstem image into a target boundary point detection model for detection processing to obtain boundary point coordinates; obtaining the midbrain area and pons area according to the boundary point coordinates, target point coordinates and target brainstem image; inputting a second target magnetic resonance image into an endpoint detection model to obtain endpoint coordinates, and then calculating the middle cerebellar peduncle data according to the endpoint coordinates; obtaining the superior cerebellar peduncle data according to the second magnetic resonance image, and finally obtaining target data according to the midbrain area, pons area, middle cerebellar peduncle data and superior cerebellar peduncle data. The image processing method of the embodiments of the present application can improve the measurement efficiency and measurement accuracy.

The present invention provides gene or RNA therapeutic vectors for use in the treatment of non-malignant CNS disorders, which are to be injected into the pons by convection-enhanced delivery (CED). The invention also provides a method for treating non-malignant CNS disorders, comprising injecting a gene or RNA therapeutic vector into the pons of a subject in need (CED), and a method for distributing a gene therapy agent throughout the nervous system, wherein a viral vector transported anterograde and retrogradely is injected into the pons and middle cerebellar peduncle of a subject from a cannula inserted from the cerebellum and middle cerebellar peduncle into the pons.

This invention provides an automatic segmentation and scoring method and system for lesions in ischemic stroke of the brainstem, including preprocessing brain CT images; automatic segmentation of the brainstem; and acquisition of mirror brainstem images and a brainstem atlas containing the midbrain, pons, and medulla oblongata regions. stem The method involves region segmentation of brainstem and mirror brainstem images; construction of a brainstem infarction lesion detection and segmentation network model; the brainstem infarction lesion detection and segmentation network model contains three encoders, one decoder, and six difference calculation modules. Each encoder consists of three convolutional layers, each decoder consists of three deconvolutional layers, and the difference calculation module includes multi-scale pyramid convolutions and feature fusion modules at each scale; prediction scoring is performed based on the segmented lesions. The lesion detection and segmentation method of this invention can quickly, accurately, and objectively detect and segment lesions.