• 제목/요약/키워드: Brain mapping

검색결과 186건 처리시간 0.027초

정상 뇌혈류 영상에서 재구성 알고리즘 적용에 따른 섭취율 차이 : 통계적 파라미터 지도를 사용한 분석 (The changes of cerebral blood flow by brain imaging algorithm in the Normal Brains : Analysis by Statistical Parametric Mapping)

  • 이효영;김윤진;신성규
    • 한국산학기술학회논문지
    • /
    • 제13권11호
    • /
    • pp.5311-5316
    • /
    • 2012
  • 뇌 영상분석 알고리즘 적용에 따른 뇌혈류의 변화를 관찰하기 위해 정상 성인 13명(평균연령 39세)을 대상으로 뇌혈류 단 광자 단층촬영(Single Photon Emission Computed Tomography, SPECT)을 시행하였다. 획득된 영상을 여과후 역투영법(Filtered Back Projection, FBP)과 반복적 방법(Ordered Subset Expectation Maximization, OSEM)으로 영상을 재구성하여 통계학적 파라미터 뇌지도법으로 비교하여 방사성 의약품의 뇌 분포양상을 확인하였으며, 혈류의 변화는 크러스트(Cluster)로 표현시켰다. 이에 대한 결과로는 여과후 역투영법이 반복적 방법보다 섭취가 증가된 부위는 우측 전두엽, 대뇌회전하부, 외핵, 좌측대뇌 변엽과 대상이랑이며, 섭취가 감소된 부위는 좌측전두엽, 중간전두이랑, 하측전두이랑, 중심전이랑, 하측전두이랑, 중심전이랑이었다. 이는 영상재구성시 적용되는 알고리즘에 따라 뇌 혈류분포가 다르게 나타난 것을 크러스트(Cluster)로 표현시켰고, 명확한 시각적 표시가 가능하도록 뇌 확룔 지도로 보여주는데 의의가 있다.

PCA와 Sammon Mapping 분석을 통한 센서 어레이 패턴들의 실시간 가시화 방법 (Real-Time Visualization Techniques for Sensor Array Patterns Using PCA and Sammon Mapping Analysis)

  • 변형기;최장식
    • 센서학회지
    • /
    • 제23권2호
    • /
    • pp.99-104
    • /
    • 2014
  • Sensor arrays based on chemical sensors produce multidimensional patterns of data that may be used discriminate between different chemicals. For the human observer, visualization of multidimensional data is difficult, since the eye and brain process visual information in two or three dimensions. To devise a simple means of data inspection from the response of sensor arrays, PCA (Principal Component Analysis) or Sammon's nonlinear mapping technique can be applied. The PCA, which is a well-known statistical method and widely used in data analysis, has disadvantages including data distortion and the axes for plotting the dimensionally reduced data have no physical meaning in terms of how different one cluster is from another. In this paper, we have investigated two techniques and proposed a combination technique of PCA and nonlinear Sammom mapping for visualization of multidimensional patterns to two dimensions using data sets from odor sensing system. We conclude the combination technique has shown more advantages comparing with the PCA and Sammon nonlinear technique individually.

Cognitive Mapping 을 이용한 Information Filtering System

  • 김진화;이승훈;변현수
    • 한국지능정보시스템학회:학술대회논문집
    • /
    • 한국지능정보시스템학회 2006년도 춘계학술대회
    • /
    • pp.203-213
    • /
    • 2006
  • 대량의 정보를 취급하는 현대사회에서는 획득하는 정보를 모두 처리할 수 없어 이용자의 요구에 맞는 정보를 얻기 위해 정보 필터링 시스템을 사용한다. 그러나 정보 필터링 시스템이 이용자의 의도와 다르게 정보를 분류하거나 이용자의 다양한 요구를 반영하지 못할 때는 정보 필터링을 사용하지 않은 경우 보다 못할 수 있다. 본 연구에서는 정보 필터링의 정확도를 향상시키기 위해 인간의 뇌에서의 정보처리 과정을 시뮬레이션하는 인지적 매핑의 정보 필터링 시스템을 제안하고자 한다. 본 연구에서 제안하는 시스템은 특정 단어 또는 패턴만을 이용하여 필터링하는 기존 시스템과는 달리 단어의 존재, 단어와 단어의 연결이 창출하는 의미와 단어의 가중치를 종합하여 정보를 필터링하는 점에서 의의가 있다.

  • PDF

Development of a Group-specific Average Brain Atlas: A Comparison Study between Korean and Occidental Groups

  • Kim Hyun-Pil;Lee Jong-Min;Lee Dong Soo;Koo Bang-Bon;Kim Jae-Jin;Kim In Young;Kwon Jun Soo;Yoo Tae Woo;Chang Kee-Hyun;Kim Sun I.
    • 대한의용생체공학회:의공학회지
    • /
    • 제26권1호
    • /
    • pp.9-16
    • /
    • 2005
  • One of the most important roles of a brain atlas is providing a spatial reference system in which multiple images can be interpreted in a consistent way. The brain atlase based on Western populations such as the International Consortium for Brain Mapping's 452 T-1 Weighted Average Atlas was widely used; however, they may not be the optimal choice for use with brain images from other ethnic groups, because structural differences between occidental and oriental brains have been reported. Therefore, in this study, we created an average brain atlas from 100 healthy Koreans (100 cases (M/F=53/47), 39.0±17.0 years). The purpose of this study was to make a Korean average-brain atlas and to measure its differences from a widely accepted average brain atlas built on an occidental population. The average brain atlas for Koreans was developed using widely accepted tools and procedures. The comparison between the Korean and occidental averages was performed using tissue probability maps and a registration tool, and it was shown that the global pattern of differences between the two average brains found in this work agreed with previously reported differences: Korean brains are wider and shorter in size, and smaller in volume, yet no hemispheric volume asymmetry was found.

Understanding Neurogastroenterology From Neuroimaging Perspective: A Comprehensive Review of Functional and Structural Brain Imaging in Functional Gastrointestinal Disorders

  • Kano, Michiko;Dupont, Patrick;Aziz, Qasim;Fukudo, Shin
    • Journal of Neurogastroenterology and Motility
    • /
    • 제24권4호
    • /
    • pp.512-527
    • /
    • 2018
  • This review provides a comprehensive overview of brain imaging studies of the brain-gut interaction in functional gastrointestinal disorders (FGIDs). Functional neuroimaging studies during gut stimulation have shown enhanced brain responses in regions related to sensory processing of the homeostatic condition of the gut (homeostatic afferent) and responses to salience stimuli (salience network), as well as increased and decreased brain activity in the emotional response areas and reduced activation in areas associated with the top-down modulation of visceral afferent signals. Altered central regulation of the endocrine and autonomic nervous responses, the key mediators of the brain-gut axis, has been demonstrated. Studies using resting-state functional magnetic resonance imaging reported abnormal local and global connectivity in the areas related to pain processing and the default mode network (a physiological baseline of brain activity at rest associated with self-awareness and memory) in FGIDs. Structural imaging with brain morphometry and diffusion imaging demonstrated altered gray- and white-matter structures in areas that also showed changes in functional imaging studies, although this requires replication. Molecular imaging by magnetic resonance spectroscopy and positron emission tomography in FGIDs remains relatively sparse. Progress using analytical methods such as machine learning algorithms may shift neuroimaging studies from brain mapping to predicting clinical outcomes. Because several factors contribute to the pathophysiology of FGIDs and because its population is quite heterogeneous, a new model is needed in future studies to assess the importance of the factors and brain functions that are responsible for an optimal homeostatic state.

Reconstruction of Neural Circuits Using Serial Block-Face Scanning Electron Microscopy

  • Kim, Gyu Hyun;Lee, Sang-Hoon;Lee, Kea Joo
    • Applied Microscopy
    • /
    • 제46권2호
    • /
    • pp.100-104
    • /
    • 2016
  • Electron microscopy is currently the only available technique with a spatial resolution sufficient to identify fine neuronal processes and synaptic structures in densely packed neuropil. For large-scale volume reconstruction of neuronal connectivity, serial block-face scanning electron microscopy allows us to acquire thousands of serial images in an automated fashion and reconstruct neural circuits faster by reducing the alignment task. Here we introduce the whole reconstruction procedure of synaptic network in the rat hippocampal CA1 area and discuss technical issues to be resolved for improving image quality and segmentation. Compared to the serial section transmission electron microscopy, serial block-face scanning electron microscopy produced much reliable three-dimensional data sets and accelerated reconstruction by reducing the need of alignment and distortion adjustment. This approach will generate invaluable information on organizational features of our connectomes as well as diverse neurological disorders caused by synaptic impairments.

뇌 PET 영상 정량화 및 파라메터영상 구성을 위한 선형분석기법 (Linearized Methods for Quantitative Analysis and Parametric Mapping of Brain PET)

  • 김수진;이재성
    • Nuclear Medicine and Molecular Imaging
    • /
    • 제41권2호
    • /
    • pp.78-84
    • /
    • 2007
  • Quantitative analysis of dynamic brain PET data using a tracer kinetic modeling has played important roles in the investigation of functional and molecular basis of various brain diseases. Parametric imaging of the kinetic parameters (voxel-wise representation of the estimated parameters) has several advantages over the conventional approaches using region of interest (ROI). Therefore, several strategies have been suggested to generate the parametric images with a minimal bias and variability in the parameter estimation. In this paper, we will review the several approaches for parametric imaging with linearized methods which include graphical analysis and mulilinear regression analysis.