Seoul National University

Korea Institute of Science and Technology

Snu Rdb Foundation

Yu Kyeong Kim

Jae Sung Lee

Dong Young Lee

Min Soo Byun

Seung Kwan Kang

Seong A Shin

Jae Hun Kim

Sang Wook Han

Chulki Kim

Byung Chul Lee

Taikjin Lee

Young Tae Byun

Sang Eun Kim

Byung Seok Moon

Jung Hwan Shin

Jee Young Lee

Hee Jung Kim

Seungwoo Jeon

Kayoung Kim

The electronic device for diagnosing dementia with Lewy bodies (DLB) or predicting morbidity to DLB according to the present invention includes a processor that measures cortical thicknesses for a plurality of regions of the brain by using brain MRI images of a normal group and a DLB patient group, generates a DLB pattern matrix by using a residual matrix according to a difference between the average cortical thickness and the cortical thickness for each region, applies a first cortical thickness matrix generated by using a brain MRI image of the subject to the DLB pattern to calculate a first DLB pattern score, and diagnoses the subject as DLB or predicting morbidity to DLB by using the first DLB pattern score.

Electronic device and method for diagnosing dementia with Lewy bodies or predicting morbidity to dementia with Lewy bodies

One aspect of the present disclosure is a method for selective surface functionalization using a single-photon source. The method for selective functionalization using a single-photon source includes: (a) adding a single-photon source to a solution containing a photosensitizer and a monomer; and (b) emitting a single photon from the single-photon source. One aspect of the present disclosure is a selectively functionalized single-photon source prepared by the method.

Method for surface functionalization using single photon source

The present invention relates to a three-dimensional reconstructing method of a 2D medical image. A three-dimensional reconstructing device includes: a communicator for receiving sequential 2D images with an arbitrary slice gap; a sliced image generator for generating at least one sliced image positioned between the 2D images based on a feature point of the adjacent 2D images; and a controller for reconstructing the 2D image into a 3D image by use of the generated sliced image and providing the 3D image.

Apparatus and method for reconstructing three-dimensional image

A device for spatially normalizing a medical image includes: an adaptive template generation unit configured such that when a plurality of functional medical images are input to a deep learning architecture, the adaptive template generation unit generates, based on prestored learning data, an adaptive template for spatially normalizing the plurality of functional medical images; a learning unit configured to learn by repeating a process of generating an image from an input functional medical image of a user based on the adaptive template through a generative adversarial network (GAN) and determine authenticity of the generated image; and a spatial normalization unit configured to provide the functional medical image of the user which is spatially normalized based on results of the learning.

Device for spatial normalization of medical image using deep learning and method therefor

A method for preparing [F]fallypride is disclosed, which comprises a first step for trapping a fluorine-18 to a polymer ion exchange cartridge; a second step for extraction of fluorine-18 by inputting low base concentrations: 5.0&#x2dc;25 &#x3bc;L of 40% TBAHCOor K2.2.2./KCO(5&#x2dc;25 mg/0.5&#x2dc;3.0 mg) as a phase-transfer catalyst in a mixture of alcohol/water (1.0/0.2 (v/v)) or alcohol as a solvent into the polymer ion exchange cartridge trapped by the fluorine-18; a third step for preparing a [F]fallypride product by removing the solvent from the trapped fluorine-18, by inputting tosylate precursor in CHCN as a solvent into a reactor and by reacting the same for 5&#x2dc;35 minutes at 50&#x2dc;120&#xb0; C.; and a fourth step for preparing a pure [F]fallypride by purifying the prepared [F]fallypride product.

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Growing community of inventors

Seoul, South Korea

Yu Kyeong Kim