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2 results about "Pons" patented technology

The pons (Latin for "bridge") is part of the brainstem, and in humans and other bipeds lies inferior to the midbrain, superior to the medulla oblongata and anterior to the cerebellum. The pons is also called the pons Varolii ("bridge of Varolius"), after the Italian anatomist and surgeon Costanzo Varolio (1543–75). This region of the brainstem includes neural pathways and tracts that conduct signals from the brain down to the cerebellum and medulla, and tracts that carry the sensory signals up into the thalamus.

method

PendingJP2026516492ANervous disorderMuscular disorderGene Therapy AgentMiddle cerebellar peduncle
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.
Owner:NEUROCHASE INNOVATIONS LTD

Method and system for automatic lesion segmentation and scoring of brainstem ischemic stroke

ActiveCN114926475BBrain ctCerebellar medulla
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.
Owner:AFFILIATED HUSN HOSPITAL OF FUDAN UNIV