Abstract: A brain image analysis method to acquire a brain image and perform a morphological analysis based on the brain image. The method may include acquiring a first correction parameter for correcting a first morphological value related to a first brain element. The method may include acquiring a second correction parameter for correcting a second morphological value related to a second brain element different from the first brain element. The method may include acquiring a target brain image and segmenting the target brain image into a plurality of brain regions including a first region corresponding to the first brain element, a second region corresponding to the second brain element, and a skull region, and acquiring the first region, the second region, and a third region corresponding to an internal region of the skull. The method may include acquiring a first and second brain-related morphological index.

Abstract: Provided are an electric stimulation simulation method, a server, and a computer program for determining an optimal stimulation position combination. The electric stimulation simulation method for determining an optimal stimulation position combination according to various embodiments of the present invention is executed by a computing device and includes: filtering stimulation positions corresponding to a preset condition among the plurality of stimulation positions according to a preset guide system; and simulating the electric stimulation for the brain of the subject by using remaining stimulation positions except for the filtered stimulation positions among the plurality of stimulation positions.

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: Provided are an optimal stimulation position combination determination method using a preset guide system, a server, and a computer program. The optimal stimulation position combination determination method using a preset guide system according to various embodiments of the present invention is executed by a computing device and includes: simulating electric stimulation for a brain of a subject by using a plurality of stimulation position according to a preset guide system; and determining an optimal stimulation position combination for applying the electric stimulation to the preset target point in the brain of the subject by using a simulation result of the electric stimulation.

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: 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: 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 disclosure relates to a patch guide method, including at least: acquiring a matched model of a 3D scan model and a 3D brain MM model; capturing an image of the head of the object by using a depth camera; matching one location of the captured image and one location on the matched model; and determining a patch location on the head of the object, by using a 3D brain map. In the method, physical characteristics of areas included in the brain MRI image are acquired and used to generate the 3D brain map of the object. In the method, a target stimulus point, to which an electrical stimulus is to be applied in a brain of the object, is acquired and used in a simulation of a delivery process of the electrical stimulus to the target stimulus point from candidate stimulus positions, to determine the patch location.

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.