Abstract: Provided is a method, performed by a computer, for correcting a brain image by using a brain structure. The method comprises: a step for obtaining a head image including the brain of a subject; a step for dividing the head image into a plurality of regions on the basis of the brain structure; and a step for performing a correction on the plurality of regions by using a layer arrangement condition of the brain.

Abstract: Provided is a 10-20 system-based position information providing method performed by a computer. The method comprises the steps of: obtaining a head image of a subject; receiving, from a user, an input of at least four reference points on the basis of the head image; calculating central coordinates in the head image on the basis of the at least four reference points; and providing 10-20 system-based position information on the basis of the central coordinates.

Abstract: Preferred embodiments of the present invention provide an apparatus and method for providing information needed for dementia diagnosis. In the apparatus and method in accordance with preferred embodiments of the present invention, an MRI brain image and a PET brain image of a subject for diagnosis are received, the MRI brain image is divided into a plurality of regions, and then the MRI brain image is registered with the PET brain image. Then, a standardized uptake value ratio of each divided region is obtained from the registered image, and for each divided region, a standard value indicating the degree of proximity of a standardized uptake value ratio of the subject for diagnosis to the average value of the standardized uptake value ratios of the group of the Alzheimer's patients and the average value of the standardized uptake value ratios of the normal group, which are stored in advance, is obtained.

Abstract: Provided is a stimulation simulation method, server and, computer program using a brain model of a brain lesion patient. The stimulation simulation method using a brain model of a brain lesion patient according to various embodiments of the present invention is a stimulation simulation method using a brain model of a brain lesion patient performed by a computing device, the method includes: collecting brain images of the brain lesion patient; generating the brain model for the brain lesion patient by using the collected brain images; and simulating stimulation to the brain of the brain lesion patient by using the generated brain model.

Abstract: Provided are a method, server, and computer program for designing a customized headgear for transcranial direct current stimulation. According to one embodiment, there is provided a method for designing a customized headgear for transcranial direct current stimulation performed by a computing device and applying electrical stimulation to a preset target point in a brain of a subject, the method including: acquiring a head image of the subject; generating a headgear mask by using the acquired head image; generating a stimulator mask by using an optimal stimulation position combination for applying the electrical stimulation to the preset target point; and generating a customized headgear mask for the subject by performing a subtraction operation between the generated headgear mask and the generated stimulator mask.

Abstract: Disclosed is a transcranial magnetic stimulation (TMS) stimulation navigation method comprising the steps of: acquiring a stimulation target point in the brain of a subject to which an electrical stimulus is to be applied; acquiring data on the spatial distribution of a magnetic vector potential of a coil for a TMS procedure; acquiring, from the spatial distribution, at least one parameter for acquiring an optimal stimulation condition for the stimulation target point; and by using the acquired parameter, calculating a position and direction of the coil satisfying the optimal stimulation condition for the stimulation target point.

Abstract: Disclosed is a method for generating a three-dimensional brain map, comprising the steps of: acquiring a brain magnetic resonance imaging (MRI) image of an object; segmenting the brain MRI image into a plurality of regions; generating a three-dimensional brain image of the object including the plurality of regions by using the segmented brain MRI image; and generating a three-dimensional brain map of the object capable of simulating a process of transferring electrical stimulation to the brain of the object based on properties of each of the plurality of regions included in the three-dimensional brain image, wherein the step of segmenting includes the step of acquiring a segmented brain MRI image of the object by inputting a brain MRI image of the object into a model learned by using a plurality of processed brain MRI images.

Abstract: Preferred embodiments of the present invention provide an apparatus and method for providing dementia diagnosis assistance information. In the present invention, an MRI brain image and a PET brain image of a subject for diagnosis are received, the MRI brain image is divided into a plurality of regions and registered with the PET brain image. Then, a standardized uptake value ratio (SUVR) of each divided region is obtained from the registered image, and for each divided region, a standard value indicating the degree of proximity of a SUVR of the subject to the average value of the SUVR of Alzheimer's group and the average value of the SUVR of the normal group is obtained. Then, the standard value of the SUVR of the subject is displayed together with the average value and the range of the standard deviation of each control group for each of the divided regions as a graph.

Abstract: The present invention relates to a method of providing diagnosis assistance information by analyzing a medical image, the method including obtaining an image of the brain, labeling a feature value representing a region of the brain, determining a reference boundary in the image of the brain, calculating a first disease index and a second disease index, and providing diagnosis assistance information on the basis of the first and second disease indexes.

Abstract: The present invention relates to a method of providing diagnosis assistance information by analyzing a medical image, the method including obtaining an image of the brain, labeling a feature value representing a region of the brain, determining a reference boundary in the image of the brain, calculating a first disease index and a second disease index, and providing diagnosis assistance information on the basis of the first and second disease indexes.

Abstract: The present invention relates to a method of providing diagnosis assistance information by analyzing a medical image, the method including obtaining an image of the brain, labeling a feature value representing a region of the brain, determining a reference boundary in the image of the brain, calculating a first disease index and a second disease index, and providing diagnosis assistance information on the basis of the first and second disease indexes.

Abstract: A method of analyzing a medical image includes acquiring a correction parameter computed based on a correlation between a first morphological value that is acquired from a first medical image acquired under a first scan condition and is related to a target element, and a second morphological value that is acquired from a second medical image acquired under a second scan condition and is related to the target element. A target medical image is acquired under the second scan condition. A target region related to the target element is acquired by segmenting the target medical image into regions corresponding to elements including the target element. A target morphological value related to the target element is based on voxel data corresponding to the target region. A corrected morphological value is based on the target morphological value and the correction parameter. A morphological index is outputted based on the corrected morphological value.

Abstract: The present invention relates to a method of providing diagnosis assistance information by analyzing a medical image, the method including obtaining an image of the brain, labeling a feature value representing a region of the brain, determining a reference boundary in the image of the brain, calculating a first disease index and a second disease index, and providing diagnosis assistance information on the basis of the first and second disease indexes.

Abstract: Provided is a medical image analysis method including: obtaining a target medical image; obtaining treatment plan information for determining a target area to which radiation is to be emitted, the treatment plan information including first feature information or second feature information; selecting a target parameter set from among a first parameter set corresponding to the first feature information and a second parameter set corresponding to the second feature information on the basis of the treatment plan information; determining, as the target parameter set, parameters of a feature node set including at least one of a plurality of nodes of an artificial neural network trained to obtain area information related to the target area on the basis of the target medical image; and providing treatment assistance information related to the target area corresponding to the treatment plan information on the basis of the artificial neural network to which the target parameter set is applied and the target medical ima

Abstract: Provided is a method, performed by a computer, for correcting a brain image by using a brain structure. The method comprises: a step for obtaining a head image including the brain of a subject; a step for dividing the head image into a plurality of regions on the basis of the brain structure; and a step for performing a correction on the plurality of regions by using a layer arrangement condition of the brain.

Abstract: Provided is a 10-20 system-based position information providing method performed by a computer. The method comprises the steps of: obtaining a head image of a subject; receiving, from a user, an input of at least four reference points on the basis of the head image; calculating central coordinates in the head image on the basis of the at least four reference points; and providing 10-20 system-based position information on the basis of the central coordinates.

Abstract: Disclosed is a patch guide method including acquiring a 3-dimensional scan model including the head of an object by using a depth camera, by a computer, acquiring a 3-dimensional brain MRI model of the object, matching the scan model and the brain MRI model to acquire a matched model, acquiring an image captured by photographing the head of the object by using the depth camera, and matching one location of the captured image and one location on the matched model.

Abstract: Disclosed is a patch guide method including acquiring a 3-dimensional scan model including the head of an object by using a depth camera, by a computer, acquiring a 3-dimensional brain MRI model of the object, matching the scan model and the brain MRI model to acquire a matched model, acquiring an image captured by photographing the head of the object by using the depth camera, and matching one location of the captured image and one location on the matched model.

Abstract: Disclosed is a method for generating a three-dimensional brain map, comprising the steps of: acquiring a brain magnetic resonance imaging (MRI) image of an object; segmenting the brain MRI image into a plurality of regions; generating a three-dimensional brain image of the object including the plurality of regions by using the segmented brain MRI image; and generating a three-dimensional brain map of the object capable of simulating a process of transferring electrical stimulation to the brain of the object based on properties of each of the plurality of regions included in the three-dimensional brain image, wherein the step of segmenting includes the step of acquiring a segmented brain MRI image of the object by inputting a brain MRI image of the object into a model learned by using a plurality of processed brain MRI images.

Abstract: Disclosed is a transcranial magnetic stimulation (TMS) stimulation navigation method comprising the steps of: acquiring a stimulation target point in the brain of a subject to which an electrical stimulus is to be applied; acquiring data on the spatial distribution of a magnetic vector potential of a coil for a TMS procedure; acquiring, from the spatial distribution, at least one parameter for acquiring an optimal stimulation condition for the stimulation target point; and by using the acquired parameter, calculating a position and direction of the coil satisfying the optimal stimulation condition for the stimulation target point.