83 results about "Lateral ventricles" patented technology

The invention provides a method and apparatus for performing selective hypothermia to the brain and spinal cord for injury protection without the need for systemic cooling. A flexible catheter is inserted into the cerebral lateral ventricle or spinal subdural space. The catheter has lumens with a heat transfer element. The lumens of the catheter circulate a coolant and communicate at the distal heat transfer element for transfer of heat from the cerebrospinal fluid. Furthermore a method of maintaining catheter patency and providing blood clot hemolysis and drainage is also provided through the use of ultrasonic and / or laser energy delivered through the catheter.

The invention relates to a method for hypothermia and rewarming of the cerebrospinal fluid in the brain. In one embodiment, cooling and rewarming of the cerebrospinal fluid is accomplished by applying cooling and rewarming elements externally placed in contact with the skin overlying the cerebrospinal fluid cisterns at the back of the head and spine regions of a patient. In another embodiment, hypothermia and rewarming is accomplished using a double barrel ventricular catheter placed within the lateral ventricles with one catheter used for heat exchange and the other for drainage of excess cerebrospinal fluid. In yet another embodiment of the invention, hypothermia and rewarming is accomplished using a loop catheter with fluid running through the loop placed in the lateral ventricles.

A decision-support system and computer implemented method automatically measures the midline shift in a patient's brain using Computed Tomography (CT) images. The decision-support system and computer implemented method applies machine learning methods to features extracted from multiple sources, including midline shift, blood amount, texture pattern and other injury data, to provide a physician an estimate of intracranial pressure (ICP) levels. A hierarchical segmentation method, based on Gaussian Mixture Model (GMM), is used. In this approach, first an Magnetic Resonance Image (MRI) ventricle template, as prior knowledge, is used to estimate the region for each ventricle. Then, by matching the ventricle shape in CT images to the MRI ventricle template set, the corresponding MRI slice is selected. From the shape matching result, the feature points for midline estimation in CT slices, such as the center edge points of the lateral ventricles, are detected. The amount of shift, along with other information such as brain tissue texture features, volume of blood accumulated in the brain, patient demographics, injury information, and features extracted from physiological signals, are used to train a machine learning method to predict a variety of important clinical factors, such as intracranial pressure (ICP), likelihood of success a particular treatment, and the need and / or dosage of particular drugs.

A pluripotent stem cell isolated from the lateral ventrical of the brain or choroid plexus is provided. Compositions and methods of isolating and using the cell also is provided.