36 results about "Brain scanning" patented technology

A method to automatically align magnetic resonance (MR) brain scans for diagnostic scan planning, including: acquiring a three-dimensional (3D) localizer image of a patient; selecting a two-dimensional (2D) coronal view and a 2D transverse view from the localizer image; identifying a mid-sagittal plane (MSP) line in each of the coronal and transverse views and calculating a 3D MSP based on the MSP lines; reconstructing the localizer image based on an equation for the 3D MSP to obtain an image of the MSP of the patient's brain; identifying crista galli (CG) and tip of the occipital bone (TOB) in the image of the MSP of the patient's brain; calculating a transformation matrix based on the MSP, CG and TOB in the image and using the transformation matrix to obtain a scan plan for the patient; and outputting the scan plan for the patient.

The invention provides a cerebral apoplexy type prediction method and device; the method comprises the following steps: obtaining brain sample images of a plurality of cerebral apoplexy patients, and obtaining focus information corresponding to each brain sample image; using a machine learning method to describe the brain sample image features according to the focus information, thus forming a cerebral apoplexy focus information data model; obtaining a brain scan image, and using the cerebral apoplexy focus information data model to predict the cerebral apoplexy type of the brain scan image. The method firstly uses big data to build he cerebral apoplexy focus information model; in determination, the method needs to directly input the patient brain scan image into the model, and uses the model to calculate the brain scan image, thus finally outputting the cerebral apoplexy type; the method is fast in response speed, hard to cause condition delay, needs no artificial participation in the whole process, thus reducing doctor medical pressure; in addition, the method and device cannot have inaccurate condition determination caused by personal differences.

Scans of brains result in data that can be challenging to display due to its complexity, multi-dimensionality, and range. Visual representations of such data are limited due to the nature of the display, the number of possible dimensions that can be represented visually, and the capacity of our visual system to perceive and interpret visual data. This paper describes the use of sonification to interpret brain scans and use sound as a complementary tool to view, analyze, and diagnose. The sonification tool may be used as a method to augment visual brain data display.

A computer implemented method, apparatus, and computer program product for analyzing neurological images. A set of brain scans for a patient is compared to a set of baseline control scans to automatically identify regions of interest in the set of patient scans. A region of interest is an area in a scan that shows an indication of a potential abnormality. A set of electronic medical literature sources is searched for medical literature relevant to the regions of interest in the set of patient scans. The relevant medical literature is correlated to the medical literature describing the regions of interest in the set of patient scans to the regions of interest in the set of patient scans. A result is generated. The result comprises the regions of interest and a set of links to the correlated portions of the relevant medical literature are outputted.

An brain scanning apparatus having a scanner device and a host computer. The scanner radiation detectors detect radiation emitted from a desired portion, or slice, of a brain source. The scanner device contains microprocessors and code which control the movement of the radiation detectors and performs the data acquisition over a number of slices and transmits this data to the host computer. The host computer initiates a scan by sending desired setup parameters to the scanner device and instructing the scanner to begin collecting data. During the scan, acquired data is sent to the host computer and spooled to a hard disk. The computer can be instructed to perform a slice by slice reconstruction of the source brain while the scan is taking place in order to produce a 2-dimensional reconstruction of the mapped brain. A complete 3-dimensional reconstruction of all the compiled slices is performed and visually displayed after acquisition of all the required slices.

The invention relates to a method for calculating brain blood volume. The method is used for calculating the brain blood volume on the stable status CT (Computed Tomography) brain perfusion imaging principle. The method comprises the following steps of (1) carrying out common whole brain CT scanning to obtain a brain tissue structure image before contrast agent injection; injecting the contrast agent to the vessel exciting area to reach the stable status, and obtaining the brain tissue structure image of the same position; (3) deleting an overhigh brain blood volume value with a vessel pixel deleting method, and deleting the interference of the artery in the existing area to the brain blood content measuring value; (4) and calculating the brain blood flow value of the brain tissue by calculating the ratio of the brain tissue to the signal change in the vessel according to a formula. With the method, all brain scanning can be carried out and the radial dosage of the perfusion scanning can be reduced, thus the method for calculating brain blood volume can be widely applied into the clinical trial.

The present disclosure provides systems and methods for evaluating a brain scan using reference data. Specifically, the systems and methods include a computed tomography (CT) scanner for the purpose of diagnosing concussions or mild traumatic brain injuries (mTBI). The system includes a multi-energy x-ray source (i.e., spectral CT), a photon counting x-ray detector, and a content-aware computer aided diagnostic (CAD) algorithm designed to detect imperceptible changes indicative of structural and physiological damage caused by a concussive event by comparing raw volumetric datasets of baseline (healthy) reference scan data to patient scan data taken after a concussive event.

The invention discloses a self-adaption data analysis method for small-animal brain functional magenetic resonance imaging. The method includes the following steps that whole-brain scanning images ofall test animals are obtained multiple times, head movement correction is carried out, and whole-brain average images of all the animals are obtained; a whole-brain image of some animal serves as a reference image, image registration and image averaging are iteratively carried out, and a self-adaption brain template is obtained; in-brain pixels of the self-adaption brain template are extracted ina multichannel gaussian filter mode to serve as original in-brain-pixel mask images; in-brain-pixel mask images matched with self-adaption brain template space are obtained; all test individual brainimages and the self-adaption brain template are subjected to space standardization, and skull peeling is carried out; time sequences of all interest areas of all the test animals are obtained; throughthe pearson correlation algorithm, correlation indexes between all the interest areas are obtained, and a whole-animal network of the test animals is obtained. The technical scheme is wide in adaptation and high in efficiency, and is not influenced by artificial subjective factors.

The invention discloses a method and system for automatically extracting the extracting magnetic resonance image corpus callosum. The method comprises the steps of according to a midsagittal plane T1 weighted nuclear magnetism brain image, determining a brain outline threshold value and a corpus callosum threshold value; performing threshold segmentation on the image according to the brain outline threshold value and the corpus callosum threshold value to respectively obtain a brain outline binary image and a corpus callosum binary image; respectively performing margin tracing on the brain outline binary image and the corpus callosum binary image to acquire a brain outline position and a corpus callosum margin cluster; establishing a decision tree, and screening marginal information to determine a corpus callosum region; determining an angle of inclination and a central position of a brain scanning line set according to the corpus callosum region. By means of the method and system, the corpus callosum in the midsagittal plane T1 weighted nuclear magnetism brain image can be extracted automatically, automatic regulation of the scanning line set during brain scanning can be completed according to information on the corpus callosum and the like, scanning efficiency is increased, no manual regulation is needed, time and labor are saved, an strong practicability is achieved.

A single diagnostic dose of a chemical agent that can bind with molecular specificity or provide a well characterized molecular effect on a mammalian host (including humans) is provided to a patient between brain scans. The method typically comprises at least one pre- dose scan of the subject followed by a waiting period then a second post-dose diagnostic scan. The diagnostic scans can be conventional in nature or of a multi-modal variety. A comparison, in the form of a difference or ratio, between data or extracted features before versus after the diagnostic dose indicates with molecular specificity the tone in the brain of that subject. The resulting data may be used to assess instances of medical fraud and can be used in back to work decisions for brain and soft tissue injuries for which the determinations have traditionally been somewhat subjective in nature.

The invention provides a cerebral stroke predicted value acquisition method and device, and a storage medium. The cerebral stroke predicted value acquisition method comprises the following steps that a plurality of evaluation areas are divided from a plain-scan computed tomography image obtained through brain scanning; texture features are extracted by aiming at each evaluation area, and a texture feature sample set is obtained; the texture feature sample set is trained, and a training result is subjected to quintuple cross validation in a training process; and on the basis of a trained random forest model, a predicted value of a cerebral stroke disease risk can be calculated. According to the technical scheme provided by the invention, the cerebral stroke can be automatically evaluated and pre-judged by using feature engineering and a random forest technology, and the ASPECTS score can be accurately and reliably determined.

The invention belongs to the technical field of medical instruments, and discloses a method for assisting cerebral hemorrhage puncture and drainage by a 3D printing fixing device. The method comprisesthe following steps: scanning the brain of a patient by an image device to obtain an image file data packet; constructing a fixing device model by medical modeling; obtaining the fixing device for assisting the cerebral hemorrhage puncture and drainage with a 3D printing method; fixing the fixing device on the brain of the patient, and puncturing the brain of the patient by putting a drainage tube along a puncture channel of the fixing device to suck hematoma. The fixing device is designed completely according to three-dimensional data scanned and reconstructed by the brain of the patient, and perfectly fits the brain of the patient, the problem of different brain contours of different patients is solved, the method can adapt to any cerebral hemorrhage patients. The drainage tube can reach the hematoma center directly through the puncture channel, and accordingly, accuracy of puncture positioning is increased, and the success rate of puncture and drainage operation is increased.

A system and method including adapting a symmetric model representing anatomical structures of the brain, the model corresponding to a brain scan image, transforming first and second points provided on first and second hemispheres of the brain and computing, based on the transformation, a patient- specific symmetric anatomical model of the brain.

A camera-based transcranial magnetic stimulation diagnosis head model building system is disclosed, including a 3D scanner, a positioning hat and an intelligent terminal, wherein the 3D scanner and the intelligent terminal are electrically connected. A model building method of the system includes collecting 3D image data of a head of a patient from all directions through cameras, and integrating the image data to obtain complete 3D image data; through combining MNI brain space coordinates, mapping a skull model obtained by MNI spatial 3D brain scanning to the 3D head model data of the patientto obtain a head model matching the actual head height of the patient, thus increasing the precision of subsequent positioning of transcranial magnetic stimulation points for the head of the patient,and further greatly improving TMS magnetic stimulation treatment effects. The head model of the patient can be obtained only by steps of collecting 3D head data of the patient through the 3D cameras and processing the collected data through the intelligent terminal in the system. The system is cheap, simple to operate and high in degree of automation.

In order to improve both spatial resolution and sensitivity for brain research and clinical activity, we have designed a combined PET/MRI insert for brain scanning, referred to herein as a “BrainPET insert” that can be fit onto and into a suitable MRI system. The BrainPET Insert comprises, in order, a receive (Rx) coil positioned within and adjacent to a transmit (Tx) coil and a PET ring, wherein both the Rx coil and the Tx coil are within the PET ring.

The invention provides a head support for PET-CT examination in the nuclear medicine department. The head support comprises a bottom plate and a top plate; an included angle is formed between the top plate and the bottom plate; and when the back side of the head is placed in a concave formed in a cushion layer of the upper surface of the top plate, the lowest point of the head coincides with the center point of the concave, and the included angle between the eyebrow listening line of the head and the bottom plate is basically 90 degrees. The head support further comprises a head high point height detection module used for detecting the highest point of the head, a head low point height detection module used for detecting the lowest point of the head, a top plate lifting system and a microprocessor, the microprocessor is used for calculating the middle height value of the height of the highest point and the height of the lowest point, and a top plate lifting system is controlled according to the difference value between the middle height value and the optimal scanning height, so that the top plate is lifted to the optimal height. On the premise of ensuring that an eyebrow listening line serves as a scanning base line, the brain of a patient is located in the center area of the brain scanning range of the equipment in the vertical direction through automatic lifting of the top plate.

The invention provides brain magnetic scanning equipment. The brain magnetic scanning equipment comprises a scanning bed device, a magnetic shielding device, a brain magnetic detector installed on the scanning bed device and a magnetic stabilization configuration facilitating detection of brain magnetic signals by the brain magnetic detector. The scanning bed device comprises a bed body mechanism, a guide rail component and a fixing component used for fixing the guide rail component. The magnetic shielding device comprises a magnetic shielding cylinder and a fixing base used for fixing the magnetic shielding cylinder. Wherein one end of the guide rail component abuts against the bed body mechanism, the other end of the guide rail component extends into the magnetic shielding cylinder, a hole is formed in the magnetic shielding cylinder, and the fixing component penetrates through the hole to abut against the fixing base. According to the brain magnetic scanning equipment, the guide rail component is independent of the magnetic shielding cylinder, vibration of the guide rail component is prevented from being transmitted to the magnetic shielding cylinder, the stability of brain magnetic acquisition signals is greatly improved, and then the brain magnetic measurement accuracy can be better guaranteed.

The invention relates to a craniotomy incision shape detection system and a corresponding terminal. The craniotomy incision shape detection system comprises an intravenous injection device for injecting an isotope marker into the vein of the brain of a human body with an intracranial tumor, a craniotomy executing mechanism used for executing the cutting executing operation of the incision in the selected geometrical shape based on the craniotomy starting position and the craniotomy ending position on the brain selected by an operation executor, an on-site timing device used for starting the scanning action of a brain scanning mechanism after the injection of the intravenous injection mechanism reaches a preset time length, and the brain scanning mechanism used for scanning the brain of thehuman body with the intracranial tumor to obtain a corresponding instant brain image. The craniotomy incision shape detection system and the corresponding terminal are effective in logic and convenient to use. The brain opening with the matched geometrical shape can be selected based on the geometrical shape of the brain tumor, so that the shape of the brain opening is consistent with the shape of the brain tumor.