• 건강소식
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• v.31 no.10 s.347
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• pp.32-33
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• 2007

기본인명구조술은 의식이 없는 환자를 발견한 후 구조를 요청하고 기도유지, 구조호흡, 흉부압박을 시행하는 심폐 소생술의 초기단계이다. 이번 호에는 심정지가 의심되는 환자를 발견하였을 때의 행동요령과 심폐소생술에 대하여 알아보고자 한다. 심정지의 발생은 예측이 불가능하며 심정지가 발생한 후 4~6분이 경과하면 치명적인 뇌손상이 발생하므로 환자가 발생한 현장에서부터 목격자에 의한 심폐소생술을 시행함으로써 폐와 심장의 기능을 유지하고, 뇌의 생리학적 사망을 연장시켜 심정지 환자의 생명을 살릴 수 있다. 그러므로 환자발견 현장에서 빠른 시간 내에 심폐소생술을 시행하는 것이 중요하다. 응급의료 선진국에서는 현장에서의 빠른 응급처치로 인해 20%의 생명을 살릴 수 있는 반면, 우리나라는 4%에 불과하다.

• The Korean Journal of Nuclear Medicine
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• v.38 no.3
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• pp.241-252
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• 2004

Purpose: Population based structural and functional maps of the brain provide effective tools for the analysis and interpretation of complex and individually variable brain data. Brain MRI and PET standard templates and statistical probabilistic maps based on image data of Korean normal volunteers have been developed and probabilistic maps based on cytoarchitectonic data have been introduced. A quantification method using these data was developed for the objective assessment of regional intensity in the brain images. Materials and Methods: Age, gender and ethnic specific anatomical and functional brain templates based on MR and PET images of Korean normal volunteers were developed. Korean structural probabilistic maps for 89 brain regions and cytoarchitectonic probabilistic maps for 13 Brodmann areas were transformed onto the standard templates. Brain FDG PET and SPGR MR images of normal volunteers were spatially normalized onto the template of each modality and gender. Regional uptake of radiotracers in PET and gray matter concentration in MR images were then quantified by averaging (or summing) regional intensities weighted using the probabilistic maps of brain regions. Regionally specific effects of aging on glucose metabolism in cingulate cortex were also examined. Results: Quantification program could generate quantification results for single spatially normalized images per 20 seconds. Glucose metabolism change in cingulate gyrus was regionally specific: ratios of glucose metabolism in the rostral anterior cingulate vs. posterior cingulate and the caudal anterior cingulate vs. posterior cingulate were significantly decreased as the age increased. 'Rostral anterior'/'posterior' was decreased by 3.1% per decade of age ($P<10^{-11}$, r=0.81) and 'caudal anterior'/'posterior' was decreased by 1.7% ($P<10^{-8}$, r=0.72). Conclusion: Ethnic specific standard templates and probabilistic maps and quantification program developed in this study will be useful for the analysis of brain image of Korean people since the difference in shape of the hemispheres and the sulcal pattern of brain relative to age, gender, races, and diseases cannot be fully overcome by the nonlinear spatial normalization techniques.

• The KIPS Transactions:PartA
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• v.13A no.5 s.102
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• pp.465-472
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• 2006

Recently, many suggestions have been made in image segmentation methods for extracting human organs or disease affected area from huge amounts of medical image datasets. However, images from some areas, such as brain, which have multiple structures with ambiruous structural borders, have limitations in their structural segmentation. To address this problem, clustering technique which classifies voxels into finite number of clusters is often employed. This, however, has its drawback, the influence from noise, which is caused from voxel by voxel operations. Therefore, applying image enhancing method to minimize the influence from noise and to make clearer image borders would allow more robust structural segmentation. This research proposes an efficient structural segmentation method by filtering based clustering to extract detail structures such as white matter, gray matter and cerebrospinal fluid from brain MR. First, coherence enhancing diffusion filtering is adopted to make clearer borders between structures and to reduce the noises in them. To the enhanced images from this process, fuzzy c-means clustering method was applied, conducting structural segmentation by assigning corresponding cluster index to the structure containing each voxel. The suggested structural segmentation method, in comparison with existing ones with clustering using Gaussian or general anisotropic diffusion filtering, showed enhanced accuracy which was determined by how much it agreed with the manual segmentation results. Moreover, by suggesting fine segmentation method on the border area with reproducible results and minimized manual task, it provides efficient diagnostic support for morphological abnormalities in brain.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.381-384
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• 2005

현존하는 정보처리 시스템 중에서 가장 뛰어난 성능을 지니고 있는 것은 인간의 두뇌라고 할 수 있다. 두뇌의 정보처리 메커니즘을 보다 정확하게 구현할 수 있는 시스템은 입력에 대한 정확한 인지 능력, 상황 판단 능력, 학습 및 추론 능력, 출력의 결정 능력 등의 성능 구현은 물론이며, 감정과 비교될 수 있는 시스템의 상태를 평가하여 판단 및 결정에 적용함으로써 매우 뛰어난 지능형 시스템이 쥘 수 있다. 이러한 뇌 정보처리 시스템의 구현에 앞서 본 논문에서는 생물학적인 대뇌 피질의 구조를 살피고 정보의 처리 영역을 고찰하고 정보의 흐름을 소개하였으며 이를 바탕으로 뇌 정보처리 메커니즘을 공학적인 측면에서 해석해 보았다. 특히, 뇌 영역의 기능 및 구조적인 특징, 정보의 처리과정 등을 공학적으로 해석하였으며 이는 뇌의 기능을 모방한 공학적인 모델을 구현하는데 있어서 기초가 될 것이다.

• Journal of the Korean Society of Radiology
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• v.83 no.1
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• pp.199-205
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• 2022

Developmental venous anomalies (DVAs) are common intracranial vascular malformations and they are generally do not cause clinical complications. In cases showing DVA and hemorrhage, the hemorrhage is usually associated with adjacent cavernous malformations. Very few cases of intracerebral hemorrhage (ICH) caused by thrombosis in DVA have been reported in the literature. In this case report, we present an interesting case of a large ICH caused by thrombosis within a DVA with an unusual structure that may have potentiated the thrombosis.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.8 no.1
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• pp.113-122
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• 1997

The purpose of this study was to examine brain structural abnormalities in autistic children. Magnetic resonance imaging(MRI) findings in 22 male children with a DSM-Ⅲ-R diagnosis of autistic disorder and 17 non-autistic male control children were investigated. The ratio measures by lineometry was used to examine the cerebrum, midbrain, cerebellum, brain stem and ventricular system. The left to right ratio of the lateral ventricle was larger in autistic children than in controls. The pons was significantly larger in autistic children than in controls, and the cerebellum was smaller in autistic children. There were no significant differences between autistic children and controls in the symmetricity of the fontral lobe, parietal lobe, occipital lobe and temporal lobe, and in the size of the midbrain and 4th ventricle. These findings suggest that autistic disorder may be related to structural impairment of the brain.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.2
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• pp.69-78
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• 2016

Ischemic stroke is a disease that the brain tissues cannot function by reducing blood flow due to thrombosis or embolisms. Due to the nature of the disease, it is most important to identify the status of cerebral vessel and the medical images are necessarily used for its diagnosis. Among many indicators, brain MRI is most widely utilized because experts can effectively obtain the semantic information such as cerebral anatomy aiding the diagnosis with it. However, in case of emergency diseases like ischemic stroke, even though a intelligent system is required for supporting the prompt diagnosis and treatment, the current systems have some difficulties to provide the information of medical images intuitively. In other words, as the current systems have managed the medical images based on the basic meta-data such as image name, ID and so on, they cannot consider semantic information inherent in medical images. Therefore, in this paper, to provide core information like cerebral anatomy contained in brain MRI, we suggest a template-driven medical images mapping method. The key idea of the method is defining the mapping characteristics between anatomic feature and representative images by using template images that can be representative of the whole brain MRI image set and revealing the semantic relations that only medical experts can check between images. With our method, it will be possible to manage the medical images based on semantic.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.4
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• pp.238-244
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• 2019

In this study, we compared and analyzed the performance of each Convolution Neural Network (CNN) by implementing the CNN that reflected the characteristics of the cerebral structure, in order to analyze the CNN that was used for the prediction of cybersickness, and provided the performance varying depending on characteristics of the brain. Dizziness has many causes, but the most severe symptoms are considered attributable to vestibular dysfunction associated with the brain. Brain waves serve as indicators showing the state of brain activities, and tend to exhibit differences depending on external stimulation and cerebral activities. Changes in brain waves being caused by external stimuli and cerebral activities have been proved by many studies and experiments, including the thesis of Martijn E. Wokke, Tony Ro, published in 2019. Based on such correlation, we analyzed brain wave data collected from dizziness-inducing environments and implemented the dizziness predictive artificial neural network reflecting characteristics of the cerebral structure. The results of this study are expected to provide a basis for achieving optimal performance of the CNN used in the prediction of dizziness, and for predicting and preventing the occurrence of dizziness under various virtual reality (VR) environments.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.05a
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• pp.295-295
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• 2004

본 연구에서는 한국인 20대 남자 50명(23$\pm$2세)과 여자 50명(20$\pm$1세)의 MR 뇌 영상을 KAIST 뇌과학 연구센터에 있는 37 MRI 기기로 획득하였고 Brain Voyager(B/V)를 이용하여 소뇌의 부피를 측정하고자 한다. 남자와 여자의 뇌의 구조가 부분적으로 차이가 있다는 것은 이미 밝혀진 사실이다 남자의 전체적인 brain volume이 약 10% 크다는 사실도 잘 알려져 있다. 그러므로 본 연구에서도 성별에 따라 소뇌의 부피의 차이가 있는지도 검증하고자 한다.(중략)

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.377-378
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• 2011

본 논문은 뇌기능 연구에 크게 기여하는 기능적 자기공명영상을 효과적으로 분석하기 위한 유효 연결성(Effective Connectivity, EC)을 이용한 대규모 네트워크(Large-Scale Network, LSN) 분석(LSN-EC)을 제안한다. 유효 연결성은 뇌영역간의 시공간적 인과관계를 표현한 연결성이며, 뇌의 기능적 연결성 및 구조탐색 사용된다. LSN-EC는 뇌영역간의 EC를 표현하고 그룹간의 차이분석을 통하여 뇌질환 분석 및 진단 연구로의 응용이 가능하다. 실험결과에서 알츠하이머병과 관련이 높다고 알려진 후대상피질(Posterior Cingulate Cortex)과 해마(Hippocampus)가 포함된 변연엽(Limbic Lobe), 기저핵 및 시상(Basal Ganglion and Thalamus) 주변 영역에서 감소된 EC를 확인하였다.