• Title/Summary/Keyword: Brain region

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Algorithm for automatic recognition of corpus callosum from saggital brain MR images (두뇌 자기공명영상에서의 corpus callosum의 자동인식 알고리즘)

  • Huh, S.;Lee, C.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1998 no.11
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    • pp.62-63
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    • 1998
  • In this paper, a new method to find the corpus callosum from sagittal brain MR images is proposed, which uses the statistical characteristics and shape information of corpus callosum. First, we extract regions satisfying the statistical characteristics of the corpus callosum and then find a region matching the shape information. In order to match the shape information, a new directed window region growing algorithm is proposed instead of using conventional contour matching algorithms. Using the proposed algorithm, we adaptively relax the statistical requirement until we find a region matching the shape information. Experiments show very promising results.

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Gamma Knife Surgery for the Pineal Region Tumors

  • Cho, Sung-Yun;Park, Chul-Kee;Chung, Hyun-Tai;Paek, Sun-Ha;Kim, Dong-Gyu
    • Journal of Korean Neurosurgical Society
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    • v.40 no.5
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    • pp.342-345
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    • 2006
  • Objective : Gamma Knife Surgery[GKS] for the management of pineal region tumors is challengeable strategy as direct access to this area is not easy. The experiences of pineal region tumor patients treated with GKS were analyzed to evaluate the effectiveness. Methods : Seven patients with tumors in the pineal region were treated with GKS between September 1998 and May 2005. The histological diagnosis were pineal parenchymal tumor [2 patients], low-grade astrocytoma [2 patients], immature teratoma [1 patient], and choriocarninoma [1 patient]. One patient was diagnosed as metastatic brain tumor based on histological diagnosis for primary site and brain imaging study. The median marginal dose was 15Gy [range; $11{\sim}20$] at the 50% isodose line. The median target volume was $2.5cm^3$ [range; $0.8{\sim}12.5$]. The median clinical follow up period was 29 months [range; $13{\sim}93$] and the median radiological follow up period was 18 months [range; $6{\sim}73$]. Results : Tumor volume measured in follow-up images showed reduction in six patients, disappearance in one. No adverse effect due to GKS was found during the follow-up period. The performance status was preserved in all patients except one who died due to progression of primary cancer in spite of controlled metastatic brain lesion. Conclusion : Gamma Knife Surgery can be applied to pineal region tumors irrespective of their histology whenever surgery is not indicated.

Segmentation of Brain Ventricle Using Geodesic Active Contour Model Based on Region Mean (영역평균 기반의 지오데식 동적 윤곽선 모델에 의한 뇌실 분할)

  • Won Chul-Ho;Kim Dong-Hun;Lee Jung-Hyun;Woo Sang-Hyo;Cho Jin-Ho
    • Journal of Korea Multimedia Society
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    • v.9 no.9
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    • pp.1150-1159
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    • 2006
  • This paper proposed a curve progress control function of the area base instead of the existing edge indication function, in order to detect the brain ventricle area by utilizing a geodesic active contour model. The proposed curve progress control function is very effective in detecting the brain ventricle area and this function is based on the average brightness of the brain ventricle area which appears brighter in MRI images. Compared numerically by using various measures, the proposed method in this paper can detect brain ventricle areas better than the existing method. By examining images of normal and diseased brain's images by brain tumor, we compared the several brain ventricle detection algorithms with proposed method visually and verified the effectiveness of the proposed method.

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Manganese-Enhanced MRI Reveals Brain Circuits Associated with Olfactory Fear Conditioning by Nasal Delivery of Manganese

  • Yang, Ji-ung;Chang, Yongmin;Lee, Taekwan
    • Investigative Magnetic Resonance Imaging
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    • v.26 no.2
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    • pp.96-103
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    • 2022
  • Purpose: The survival of organisms critically depends on avoidance responses to life-threatening stimuli. Information about dangerous situations needs to be remembered to produce defensive behavior. To investigate underlying brain regions to process information of danger, manganese-enhanced MRI (MEMRI) was used in olfactory fear-conditioned rats. Materials and Methods: Fear conditioning was conducted in male Sprague-Dawley rats. The animals received nasal injections of manganese chloride solution to monitor brain activation for olfactory information processing. Twenty-four hours after manganese injection, rats were exposed to electric foot shocks with odor cue for one hour. Control rats were exposed to the same odor cue without foot shocks. Forty-eight hours after the conditioning, rats were anesthetized and their brains were scanned with 9.4T MRI. Acquired images were processed and statistical analyses were performed using AFNI. Results: Manganese injection enhanced brain areas involved in olfactory information pathways in T1 weighted images. Rats that received foot shocks showed higher brain activation in the central nucleus of the amygdala, septum, primary motor cortex, and preoptic area. In contrast, control rats displayed greater signals in the orbital cortex and nucleus accumbens. Conclusion: Nasal delivery of manganese solution enhanced olfactory signal pathways in rats. Odor cue paired with foot shocks activated amygdala, the central brain region in fear, and related brain circuits. Use of MEMRI in fear conditioning provides a reliable monitoring technique of brain activation for fear learning.

Arterial Spin Labeling Magnetic Resonance Imaging in Healthy Adults: Mathematical Model Fitting to Assess Age-Related Perfusion Pattern

  • Ying Hu;Rongbo Liu;Fabao Gao
    • Korean Journal of Radiology
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    • v.22 no.7
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    • pp.1194-1202
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    • 2021
  • Objective: To investigate the age-dependent changes in regional cerebral blood flow (CBF) in healthy adults by fitting mathematical models to imaging data. Materials and Methods: In this prospective study, 90 healthy adults underwent pseudo-continuous arterial spin labeling imaging of the brain. Regional CBF values were extracted from the arterial spin labeling images of each subject. Multivariable regression with the Akaike information criterion, link test, and F test (Ramsey's regression equation specification error test) was performed for 7 models in every brain region to determine the best mathematical model for fitting the relationship between CBF and age. Results: Of all 87 brain regions, 68 brain regions were best fitted by cubic models, 9 brain regions were best fitted by quadratic models, and 10 brain regions were best fitted by linear models. In most brain regions (global gray matter and the other 65 brain regions), CBF decreased nonlinearly with aging, and the rate of CBF reduction decreased with aging, gradually approaching 0 after approximately 60. CBF in some regions of the frontal, parietal, and occipital lobes increased nonlinearly with aging before age 30, approximately, and decreased nonlinearly with aging for the rest of life. Conclusion: In adults, the age-related perfusion patterns in most brain regions were best fitted by the cubic models, and age-dependent CBF changes were nonlinear.

Automatic Tumor Segmentation Method using Symmetry Analysis and Level Set Algorithm in MR Brain Image (대칭성 분석과 레벨셋을 이용한 자기공명 뇌영상의 자동 종양 영역 분할 방법)

  • Kim, Bo-Ram;Park, Keun-Hye;Kim, Wook-Hyun
    • Journal of the Institute of Convergence Signal Processing
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    • v.12 no.4
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    • pp.267-273
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    • 2011
  • In this paper, we proposed the method to detect brain tumor region in MR images. Our method is composed of 3 parts, detection of tumor slice, detection of tumor region and tumor boundary detection. In the tumor slice detection step, a slice which contains tumor regions is distinguished using symmetric analysis in 3D brain volume. The tumor region detection step is the process to segment the tumor region in the slice distinguished as a tumor slice. And tumor region is finally detected, using spatial feature and symmetric analysis based on the cluster information. The process for detecting tumor slice and tumor region have advantages which are robust for noise and requires less computational time, using the knowledge of the brain tumor and cluster-based on symmetric analysis. And we use the level set method with fast marching algorithm to detect the tumor boundary. It is performed to find the tumor boundary for all other slices using the initial seeds derived from the previous or later slice until the tumor region is vanished. It requires less computational time because every procedure is not performed for all slices.

Automatic Recognition of Corpus Callosum of Midsagittal Brain MR Images (중앙시상 두뇌자기공명영상의 뇌량자동인식)

  • Lee, Cheol-Hui;Heo, Sin
    • Journal of Biomedical Engineering Research
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    • v.20 no.1
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    • pp.59-68
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    • 1999
  • In this paper, we propose an algorithm to locate the corpus callosum automatically from midsagittal brain MR images using the statistical characteristics and shape information of the corpus callosum. In the proposed algorithm, we first extract regions satisfying the statistical characteristics of the corpus callosum and then find a region matching the shape information. In order to match the shape information, a new directed window region-growing algorithm is proposed instead of using conventional contour matching algorithms. Using the proposed algorithm, we adaptively relax the statistical requirement until we find a region matching the shape information. Experiments show promising results.

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Nebulin C-terminus Interacts with NCBP51, a New Isoform of RING Finger Protein 125 (RNF125)

  • Kim, Ji-Hee;Kim, Hyun-Suk;Park, Eun-Ran;Choi, Jae-Kyoung;Lee, Yeong-Mi;Choi, Jun-Hyuk;Shin, Jung-Woog;Kim, Chong-Rak
    • Biomedical Science Letters
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    • v.13 no.1
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    • pp.1-10
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    • 2007
  • Nebulin, a giant modular protein from muscle, is thought to act as molecular ruler in sarcomere assembly. In skeletal muscle, the C-terminal ${\sim}50 kDa$ region of nebulin extends into the Z-line lattice. The most recent studies implicated highlighting its extensive isoform diversity and exciting reports revealed its expression in cardiac and non-muscle tissues containing brain. Also these novel findings are indicating that nebulin is actually a multifunctional filament system, perhaps playing roles in signal transduction, contractile regulation, and myofibril force generation, as well as other not yet defined functions. However the binding protein of nebulin and function in brain is still unknown. A novel binding partner of nebulin C-terminal region was identified by screening a human brain cDNA library using yeast two-hybrid system. Nebulin C-terminus binding protein 51 (NCBP51) was contained a RING-finger domain and identified a new isoform of RING finger protein 125 (RNF125). The interaction was confirmed using the GST pull-down assay. NCBP51 belongs to a family of the RING finger proteins and its function remains to be identified in brain. The role of nebulin and NCBP51 will be studied by loss-of-function using siRNA technique in brain.

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Ependymal Cells Require Anks1a for Their Proper Development

  • Park, Sunjung;Lee, Haeryung;Lee, Jiyeon;Park, Eunjeong;Park, Soochul
    • Molecules and Cells
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    • v.42 no.3
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    • pp.245-251
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    • 2019
  • Ependymal cells constitute the multi-ciliated epithelium, which lines the brain ventricular lumen. Although ependymal cells originate from radial glial cells in the perinatal rodent brain, the exact mechanisms underlying the full differentiation of ependymal cells are poorly understood. In this report, we present evidence that the Anks1a phosphotyrosine binding domain (PTB) adaptor is required for the proper development of ependymal cells in the rodent postnatal brain. Anks1a gene trap targeted LacZ reporter analysis revealed that Anks1a is expressed prominently in the ventricular region of the early postnatal brain and that its expression is restricted to mature ependymal cells during postnatal brain development. In addition, Anks1a-deficient ependymal cells were shown to possess type B cell characteristics, suggesting that ependymal cells require Anks1a in order to be fully differentiated. Finally, Anks1a overexpression in the lateral wall of the neonatal brain resulted in an increase in the number of ependymal cells during postnatal brain development. Altogether, our results suggest that ependymal cells require Anks1a PTB adaptor for their proper development.

Hybrid Affine Registration Using Intensity Similarity and Feature Similarity for Pathology Detection

  • June-Sik Kim;Ho-Sung Kim;Jong-Min Lee;Jae-Seok Kim;In-Young Kim;Sun I. Kim
    • Journal of Biomedical Engineering Research
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    • v.23 no.1
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    • pp.39-47
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    • 2002
  • The objective of this study is to provide a Precise form of spatial normalization with affine transformation. The quantitative comparison of the brain architecture across different subjects requires a common coordinate system. For the common coordinate system, not only global brain but also a local region of interest should be spatially normalized. Registration using mutual information generally matches the whose brain well. However. a region of interest may not be normalized compared to the feature-based methods with the landmarks. The hybrid method of this Paper utilizes feature information of the local region as well as intensity similarity. Central gray nuclei of a brain including copus callosum, which is used for feature in Schizophrenia detection, is appropriately normalized by the hybrid method. In the results section. our method is compared with mutual information only method and Talairach mapping with schizophrenia Patients. and is shown how it accurately normalizes feature .