The present disclosure relates to a method, an apparatus, and a system for detecting and classifying an ischemic stroke based on a medical image. A medical image based ischemic stroke detecting and type classifying apparatus according to an aspect of the present disclosure includes an acquiring unit which collects images related to a brain of at least one patient; a detecting unit which determines whether the at least one patient is a large vessel occlusion patient, based on the collected image; a determining unit which determines whether a type of the large vessel occlusion is embolism or intracranial atherosclerosis (ICAS), when the at least one patient is a large vessel occlusion patient; and a diagnosing unit which provides treatment direction information which is applied differently according to the determined type of the large vessel occlusion.

The objective of the present invention is to provide a biomagnetism measuring device with which it is possible for a magnetic sensor to be disposed in an optimal position in accordance with an object being measured. A biomagnetism measuring device (1) according to the present invention is provided with: a plurality of magnetic sensors (11) which detect biomagnetism; and a holding portion (12) in which are formed frames (13) which detachably hold the plurality of magnetic sensors (11) in such a way as to face a living body. Further, the biomagnetism measuring device (1) according to the present invention is provided with: a plurality of magnetic sensors (11) which detect biomagnetism; and a holding portion (12) in which are formed rails (16) which movably hold the plurality of magnetic sensors (11) in such a way as to face a living body.

A method for determining a brain age, the method comprising the following: providing a brain age determining convolutional neural network (CNN) (200); training the CNN (200) to determine the brain age based on a plurality of sets of input data comprising magnetic resonance imaging (MRI) scans of a brain, the set comprising at least two types of MRI volumes, wherein the at least one type of brain tissue on the first type of the MRI volume is represented by a different contrast with respect to other tissues than on a second type of the MRI volume; and performing an inference process using the trained CNN (200) to determine the brain age based on the set of input data comprising magnetic resonance imaging (MRI) scans of a brain, the set comprising at least the two types of the MRI volumes as used for the training.

A 3D model of AC electrical conductivity (at a given frequency) of an anatomic volume can be created by obtaining two MRI images of the anatomic volume, where the two images have different repetition times. Then, for each voxel in the anatomic volume, a ratio IR of the intensity of the corresponding voxels in the two MRI images is calculated. This calculated IR is then mapped into a corresponding voxel of a 3D model of AC electrical conductivity at the given frequency. The given frequency is below 1 MHz (e.g., 200 kHz). In some embodiments, the 3D model of AC electrical conductivity at the given frequency is used to determine the positions for the electrodes in TTFields (Tumor Treating Fields) treatment.

Aspects of the present disclosure relate to systems and methods for medical imaging that incorporate prior knowledge. Some aspects relate to incorporating prior knowledge using a non-local means filter. Some aspects relate to incorporating prior knowledge for improved perfusion imaging, such as those incorporating arterial spin labeling.

A test apparatus or system for testing impact induced brain trauma a method of making and a method using the same are provided. The system includes a head model, which includes a skull component, a brain component, and a fluid component. The skull component has a wall defining an interior chamber. The brain component includes a gel material and is disposed within the interior chamber. The fluid component is disposed inside the interior chamber. The system may also include a fluid tank fluidly coupled with the skull component and configured to provide the fluid component into the interior chamber. The head model may further include a layer of porous media disposed between the brain component and the interior wall surface of the skull component. The system may include at least one impact element for providing an impact on the head model. The impact is translational or rotational or both.

Systems, methods and devices are implemented for microscope imaging solutions. One embodiment of the present disclosure is directed toward an epifluorescence microscope. The microscope includes an image capture circuit including an array of optical sensor. An optical arrangement is configured to direct excitation light of less than about 1 mW to a target object in a field of view of that is at least 0.5 mm.sup.2 and to direct epi-fluorescence emission caused by the excitation light to the array of optical sensors. The optical arrangement and array of optical sensors are each sufficiently close to the target object to provide at least 2.5 μm resolution for an image of the field of view.

Systems and methods for treating cancerous tumors (including glioblastoma multiforme (GBM)) with electrotherapy, such as deep brain stimulation (DBS) technology, as disclosed herein. One or more configurations can be generated based on a patients tumor characteristics. The selected configurations can be electrode configurations or settings for an electrical source coupled to the electrodes. The one or more configurations can be targeted for inhibiting cell growth process, such as to inhibit mitosis, immune suppression, or to inhibit DNA replication. Inhibition of cell growth processes can initiate death of the cancerous cells.

Described herein are methods and systems for analyzing a sample by applying time resolved laser induced fluorescence spectroscopy to the sample to measure lifetime time decay profile data relating to the sample, and applying multivariate analysis to process the data so as to classify a sample as, for example, normal or abnormal. The sample may be cells, fluid or tissue from any organ. The sample may be in vitro or in vivo. The data may be obtained in situ or in vitro.

The subject matter disclosed herein relates to a method for determining dopamine function in a subject, the method comprising acquiring one or more neuromelanin-Magnetic Resonance Imaging (NM-MRI) scans of the subject's dopamine-associated brain region of interest.