44 results about "Corpus callosum" patented technology

Brain Magnetic Resonance Imaging (MRI), Computerized Tomotography (CT), or other diagnostic modalities may employ a three-step procedure during initial (“scout”) cranial pre-scans that corrects for patient positioning (i.e., roll, yaw and pitch) to reduce inter- and intra-patient variation, thereby enhancing the diagnostic and comparative value of subsequent detail scans even across different diagnostic platforms. In MRI, for instance, locating the saggital sinus (SS) and optimizing a line to bisect the brain through this SS may be automated to correct for roll and yaw. By then identifying the contour of the corpus callosum in a lateral saggital scout scan, the Talairach anterior commissure (AC)—posterior commissure (PC) reference line may be found for correcting pitch. Prescription of detailed scans are improved, especially when the three-step correction is repeated periodically identifying the need to repeat a detailed scan or to adjust the coordinates of a subsequent scan.

The present invention is directed to a non-human mammal with at least 30% of all of its glial cells in its corpus callosum being human glial cells and / or at least 5% of all of its glial cells in the white matter of its brain and / or brain stem being human glial cells. Methods of producing and using the non-human mammal are also disclosed.

Brain Magnetic Resonance Imaging (MRI), Computerized Tomotography (CT), or other diagnostic modalities may employ a three-step procedure during initial (“scout”) cranial pre-scans that corrects for patient positioning (i.e., roll, yaw and pitch) to reduce inter- and intra-patient variation, thereby enhancing the diagnostic and comparative value of subsequent detail scans even across different diagnostic platforms. In MRI, for instance, locating the saggital sinus (SS) and optimizing a line to bisect the brain through this SS may be automated to correct for roll and yaw. By then identifying the contour of the corpus callosum in a lateral saggital scout scan, the Talairach anterior commissure (AC)—posterior commissure (PC) reference line may be found for correcting pitch. Prescription of detailed scans are improved, especially when the three-step correction is repeated periodically identifying the need to repeat a detailed scan or to adjust the coordinates of a subsequent scan.

The present invention is directed to a method of assessing in vivo human glial cell response to pathogenic infection that involves providing a non-human mammal either with at least 30% of its glial cells in its corpus callosum being human glial cells and / or with at least 5% of its glial cells its brain and brain stem white matter being human glial cells, subjecting the non-human mammal to pathogenic infection and assessing the in vivo human glial cell response to pathogenic infection. A method of identifying therapeutic agents for the pathogenic infection as well as forms of the non-human mammal having a pathogenic brain infection are also disclosed.

A method and apparatus for detecting multiple anatomical landmarks in a 3D volume. A first anatomical landmark is detected in a 3D volume using marginal space learning (MSL). Locations of remaining anatomical landmarks are estimated in the 3D volume based on the detected first anatomical landmark using a learned geometric model relating the anatomical landmarks. Each of the remaining anatomical landmarks is then detected using MSL in a portion of the 3D volume constrained based on the estimated location of each remaining landmark. This method can be used to detect the anatomical landmarks of the crista galli (CG), tip of the occipital bone (OB), anterior of the corpus callosum (ACC), and posterior of the corpus callosum (PCC) in a brain magnetic resonance imaging (MRI) volume.

The present invention is directed to a method of assessing in vivo human glial cell response to pathogenic infection that involves providing a non-human mammal either with at least 30% of its glial cells in its corpus callosum being human glial cells and / or with at least 5% of its glial cells its brain and brain stem white matter being human glial cells, subjecting the non-human mammal to pathogenic infection and assessing the in vivo human glial cell response to pathogenic infection. A method of identifying therapeutic agents for the pathogenic infection as well as forms of the non-human mammal having a pathogenic brain infection are also disclosed.

The invention discloses a method for positioning and segmenting a cerebellar earthworm part in an ultrasonic image. The comprises the following steps of: obtaining a human brain ultrasonic image and corpus callosum size and position information in the ultrasonic image, reading a cerebellar earthworm part image, and generating a cerebellar earthworm part average template image through an adversarial neural network; according to the corpus callosum position information, an area with a small pixel mean value is selected as an initial search area of the cerebellar earthworm part, reducing the position information Loc of the cerebellar earthworm part relative to the corpus callosum direction; taking the average template size of the adaptive cerebellar earthworm as the size of the initial searchresult of the cerebellar earthworm; performing adaptive template size sliding window search by adopting a new similarity comparison algorithm so as to obtain a cerebellar earthworm fine search result; and carrying out outer contour graph fitting on the direction position information Loc and the morphological characteristics of the cerebellar earthworm part to obtain an initial contour of the cerebellar earthworm part, and carrying out smoothing processing on the accurate contour to finally obtain cerebellar earthworm part contour information.

The invention discloses a plug seedling ejecting and picking apparatus capable of protecting pot bodies. The apparatus comprises a pressing plate, a base, a seedling picking shovel and pot protecting holders; the pressing plate comprises a handle, a crossbeam and an external frame; the base comprises a base plate as well as positioning pins and ejecting pins which are fixedly installed on the base plate; the pot protecting holders are placed at the bottom of a plug tray before seedling production, when the plug seedlings are ejected, pot bodies and roots of the plug seedlings can be protected, so that plug seedlings are vertical and seedlings can be rapidly ejected. The apparatus has simple structure and operation convenience, after the plug tray of the plug seedlings can be fixed to a correct position by the positioning pins, the pressing plate is placed over the plug seedling, the pressing plate external frame and an external edge of the plug tray are aligned, and at the same time damage on branches and leaves of the plug seedlings due to pressing can be avoided, the plug seedlings can be smoothly ejected by pressing the pressing plate, the ejected plug seedlings are kept vertical, so that the seedling picking shovel can be used for rapidly picking seedlings; seedling picking efficiency is greatly improved, pot soil and pot seedling roots of the plug seedlings can be protected, efficiency of transplanting work and survival rate of the plug seedlings are transplanting are improved, and soil environment is not polluted.

A method and system for automatic MR brain scan planning is disclosed. The method utilizes a set of 2D orthogonal localizer images to determine scanning planes for 3D diagnostic MR scans. A location of the mid-sagittal plane (MSP) is detected in each of a transversal localizer image and a coronal localizer image. A sagittal scanning plane is determined based on the location of the MSP in the transversal and coronal localizer images. A diagnostic sagittal MR scan is then acquired based on the sagittal scanning plane. The corpus callosum CC is segmented in a sagittal MR image slice resulting from the diagnostic sagittal MR scan. A transversal scanning plane can be determined based on a location of the CC in the sagittal MR image slice and the location of the MSP in the coronal localizer image, and a coronal scanning plane can be determined based on the location of the CC in the sagittal MR image slice and the location of the MSP in the transversal localizer image.

The invention relates to a construction method of a corpus callosum cut-off animal model, and belongs to the field of animal model research. According to the construction method of the corpus callosum cut-off animal model, damage to local brain tissue is small, bleeding is little, the operation method is easy to master, and the constructed animal model of the corpus callosum cut-off animal model can be applied to research of epilepsy treatment and has wide application prospects.

Aplasia of the corpus callosum or aspermatogenesis is diagnosed by investigating existence or expression of the BT-IgSF gene with use of a primer for PCR or probe for hybridization comprising a DNA coding for a novel cell adhesion molecule (BT-IgSF) defined in the following (A) or (B) or a partial sequence thereof:(A) a protein comprising the amino acid sequence of the amino acid numbers 1 to 409 of SEQ ID NO: 2;(B) a protein comprising an amino acid sequence of the amino acid numbers 1 to 409 of SEQ ID NO: 2 including substitution, deletion, insertion or addition of one or several amino acids and having a function as a cell adhesion molecule.

The present invention proposes a multimodal image fetal corpus callosum intelligent detection method and system. The detection method includes: marking the corpus callosum target frame and image modality-section information labeling on the multimodal section medical image to form the corpus callosum target detection Data set; preprocess the multimodal section medical images in the corpus callosum target detection dataset, encode the modality-section information of the multimodal section medical images; establish the fetal corpus callosum intelligence including feature extraction network model and Transformer network model Detection model; train the fetal corpus callosum intelligent detection model to obtain the trained fetal corpus callosum intelligent detection model; use the trained fetal corpus callosum intelligent detection model to perform fetal corpus callosum intelligent detection on the multi-modal section medical images to be detected, and obtain fetal corpus callosum detection result. The present invention utilizes a feature extraction network model and a Transformer network model to realize accurate positioning of fetal corpus callosum in multimodal images.

A method for extracting the duration of the cortical rest period, comprising: collecting the electromyographic signals of the hand muscles of the target hand and the opposite hand of the target; preprocessing the collected electromyographic signals; extracting the electromyographic signals in the preprocessed electromyographic signals The peak time point of the interference potential of the transcranial magnetic stimulation; the peak time point of the motor evoked potential is extracted; the energy value of each time point is calculated; the baseline energy value of the EMG signal is calculated; the duration of the cortical rest period is calculated. A fully automatic, single-shot method for extracting the duration of cortical rest periods, which can be used for the extraction of contralateral and ipsilateral cortical rest period durations. The invention is simple and fast in operation, without modifying parameters, and can obtain the duration of a single cortical resting period by inputting electromyographic signals, which can provide a method for transcranial magnetic stimulation to detect the performance of motor zone inhibitory pathways and corpus callosum inhibitory pathways Support, to a certain extent, can promote the application of cortical resting period in brain science research.

The invention discloses a method for constructing a corpus callosum segmentation prediction image for corpus callosum state assessment. According to the initial outline of the corpus callosum and the offset of the key point, the segmentation prediction image of the corpus callosum of the brain is cropped from the ultrasound image of the fetal brain. The deep neural network model of the fetal ultrasound image state analysis of the present invention fills the blank of the brain corpus callosum state analysis of the brain ultrasound image, and pioneers a method for evaluating the brain corpus callosum state by using the brain ultrasound image.

A brain image normalization apparatus, having a processor configured to: detect at least four reference landmarks of a left eye, a right eye, a diencephalon, a fornix, a corpus callosum, a left hippocampus, and a right hippocampus from a brain image including a brain of a subject; perform registration between the detected reference landmarks and reference landmarks corresponding to the detected reference landmarks included in a standard brain image; and normalize the brain image based on a result of the registration.

A method and system for segmentation of the corpus callosum in MR brain images is disclosed. The method utilizes an active shape model (ASM) with confidence weighting to iteratively adjust an initial corpus callosum contour to define a boundary of the corpus callosum in an MR image. An ASM is used to determine a displacement value in a perpendicular direction of the corpus callosum contour for each node of the corpus callosum contour. The displacement value for each node is then weighted based on a confidence of that displacement value. The ASM is then fitted to the adjusted contour. These steps are iteratively performed until the contour converges to define the corpus callosum boundary. This boundary can be further refined based on intensity distributions in object and background regions defined by the boundary.

The invention provides a comet assay method for detecting DNA damage of earthworm coelomocytes. The method comprises production of simple glue carrying films and preparation of earthworm coelomocytes,can perform comet assay by only laying a layer of glue, and is simple, high in accuracy and high in efficiency.