36 results about "Cortical surface" patented technology

An orthopedic plate is specifically configured for use in osteotomies, in which part of the plate extends into a portion of a first bone segment and part is external to the cortical surface of an adjacent bone segment to fix the segments to allow them to fuse. The plate has a first end and a second end where the end which is inserted into the bone has a chamfer and a through hole having a hole axis optionally at an oblique angle to the longitudinal axis of the plate, and which can receive a screw, peg or pin. The second end of the plate includes a locking screw hole and optionally including a compression slot extending in a direction toward a screw hole in the opposing end. Optionally, the non-locking hole has a shroud that forms an arc or portion of a cylinder over the hole. A plate driver having a recess that holds the plate is used to insert the plate into the bone.

Methods and apparatus for determining brain cortical thickness. One method includes determining an intensity profile at each of a plurality of cortical surface points of an imaged brain using brain tissue image data and calculating a cortical thickness based on a parametrically determined transition point of each intensity profile.

An apparatus and method for performing automatic 3D image segmentation and reconstruction of organ structures, which is particularly well-suited for use on cortical surfaces is presented. A brain extraction process removes non-brain image elements, then classifies brain tissue as to type in preparation for a cerebrum segmentation process that determines which portions of the image information belong to specific physiological structures. Ventricle filling is performed on the image data based on information from a ventricle extraction process. A reconstruction process follows in which specific surfaces, such as white matter (WM) and grey matter (GM), are reconstructed.

Methods and systems for performing trackerless image guided soft tissue surgery. For a patient in need of brain surgery, pre-operative preparation for a patient is performed by generating a three-dimensional textured point cloud (TPC) for the patient's scalp surface, and registering the first three-dimensional TPC to a magnetic resonance (MR) model of the brain. During the surgery, an intra-operative cortical surface registration to the MR model is performed for the MR-to-cortical surface alignment. Then shift measurement and compensation to the MR model is performed by: performing absolute deformation measurement of the brain based on the MR model with the cortical surface registration, and obtaining shift correction to the MR model using the absolute deformation measurements. The shift correction may be used for adjusting an image guidance system (IGS) in the brain surgery.

Super-resolution images are generated from standard-resolution images acquired with a magnetic resonance imaging (“MRI”) system. More particularly, super-resolution (e.g., sub-millimeter isotropic resolution) images are generated from standard-resolution images (e.g., images with 1 mm or coarser isotropic resolution) using a deep learning algorithm, from which accurate cortical surface reconstructions can be generated.

The neuronal activity in the brain of demented subject becomes non-uniform over the cortical surface and this non-uniformity is sensitively detected by properly analyzing observed scalp potentials. The present invention is related to the computer algorithm and apparatus for numerically detecting the degree of such neuronal degeneration. A proper frequency component of EEG is selected so that its scalp potential becomes smooth in a normal subject. When the brain function is impaired, non-uniformity of neuronal activity is detected in spatial as well as temporal fluctuations in the observed scalp potential of properly filtered EEG (usually the alpha component). The statistical parameters derived from dipolarity values of such a properly selected EEG component determine the state of the brain, in which whether the subject is normal or demented is Judged in the early stage of dementia by comparing the obtained parameters with their threshold values. This invention presents a reliable, inexpensive, easy-to-handle and non-invasive method for sensitive screening of dementia and monitoring progress of dementia which also allows optimizing medication and treatment for dementia.

The invention discloses an adaptive layered neighborhood radius method for classifying abnormal brain tissue medical records, which comprises the following steps: first constructing a four-layer structural segmentation framework based on the adaptive neighborhood radius, and assigning each layer to a neighborhood The effective solution of the radius is to adaptively adjust the neighborhood radius through iterative calculations; then, the interaction of the neighborhood radius within the same layer and the cascade operation of the neighborhood radius between different layers are performed on the medical records of abnormal brain tissue. The present invention can effectively extract the attribute characteristics of different regions inside the medical records of abnormal brain tissue, improve the classification efficiency of different longitudinal cortical surface labels of brain tissue, and have good effects on early prevention of abnormal brain diseases and delaying the onset of brain diseases.

A system includes spatially isolated nodes proximal to a cortical surface or spinal cord, a telemetric antenna array located above the dura, the telemetric antenna array configured to provide power to and exchange data with the spatially isolated nodes, and a power and data distribution unit configured to power the spatially isolated nodes, aggregate recorded data, send the aggregated recorded data and commands through a wireless link.