• 제목/요약/키워드: White Matter

검색결과 500건 처리시간 0.052초

적응 영역 군집화 기법과 퍼지 규칙을 이용한 자기공명 뇌 영상의 분할 (Brain Magnetic Resonance Image Segmentation Using Adaptive Region Clustering and Fuzzy Rules)

  • 김성환;이배호
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 추계종합학술대회 논문집
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    • pp.525-528
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    • 1999
  • Abstract - In this paper, a segmentation method for brain Magnetic Resonance(MR) image using region clustering technique with statistical distribution of gradient image and fuzzy rules is described. The brain MRI consists of gray matter and white matter, cerebrospinal fluid. But due to noise, overlap, vagueness, and various parameters, segmentation of MR image is a very difficult task. We use gradient information rather than intensity directly from the MR images and find appropriate thresholds for region classification using gradient approximation, rayleigh distribution function, region clustering, and merging techniques. And then, we propose the adaptive fuzzy rules in order to extract anatomical structures and diseases from brain MR image data. The experimental results shows that the proposed segmentation algorithm given better performance than traditional segmentation techniques.

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Automaticfor age-related pathological periventricular white matter changes (WMC) using k-means clustering and morphological features on T2-weighted and proton density (PD) MR images

  • 조익환;송인찬;오정수;장기현;정동석
    • 대한자기공명의과학회:학술대회논문집
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    • 대한자기공명의과학회 2003년도 제8차 학술대회 초록집
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    • pp.34-34
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    • 2003
  • Age-related WMCs frequently appear in older subjects and are known to be associated with cognitive impairment and brain pathologies such as Alzheimer's disease and stroke. However, it is difficult to detect WMC correctly by using only intensity-based clustering scheme because the intensity levels of WC are similar to those of gray matter(GM). In this paper, we aimed to develop a fast and accurate scheme to detect and segment periventricular WMCs by using both k-means clustering method and morphological features.

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Near-Infrared Light Propagation in an Adult Head Model with Refractive Index Mismatch

  • Kim, Seung-Hwan;Lee, Jae-Hoon
    • ETRI Journal
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    • 제27권4호
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    • pp.377-384
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    • 2005
  • We investigate near-infrared light (NIR) propagation in a model of an adult head using an extensive Monte Carlo (MC) simulation. The adult head model is a four-layered slab which consists of a surface layer, a cerebrospinal fluid layer, a gray-matter layer, and a white-matter layer. We study the effects of a refractive index mismatch on the model, calculating the intensity of detected light, mean flight time, and partial mean flight time of each layer for various refractive indices of the cerebrospinal fluid layer as functions of source-detector spacing. The Monte Carlo simulation shows that the refractive index mismatch presents very rich results including rapidly decaying intensity of detected light and a peak and cross-over in the partial mean flight time with source-detector spacing. We also investigate spatial sensitivity profiles at various source-detector spacings, discussing the index mismatch effect on the model.

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Segmentation of Scalp in Brain MR Images Based on Region Growing

  • Du, Ruoyu;Lee, Hyo Jong
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2009년도 추계학술발표대회
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    • pp.343-344
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    • 2009
  • The aim in this paper is to show how to extract scalp of a series of brain MR images by using region growing segmentation algorithm. Most researches are all forces on the segmentation of skull, gray matter, white matter and CSF. Prior to the segmentation of these inner objects in brain, we segmented the scalp and the brain from the MR images. The scalp mask makes us to quickly exclude background pixels with intensities similar those of the skull, while the brain mask obtained from our brain surface. We make use of connected threshold method (CTM) and confidence connected method (CCM). Both of them are two implementations of region growing in Insight Toolkit (ITK). By using these two methods, the results are displayed contrast in the form of 2D and 3D scalp images.

시판 소금이 깍두기 무의 경도에 미치는 영향 (Effect of Salts on the Hardness of Cubed White Radish)

  • 박희옥;장재선
    • 한국식품영양학회지
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    • 제22권2호
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    • pp.238-245
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    • 2009
  • The principal objective of this study was to investigate the association of variable salts with the hardness of cubed white radish. We analyzed the contents of domestic sun-dried salt, Chinese sun-dried salt, domestic refined salt, Australian rock salt and Australian industrial sun-dried salt in the radish samples. Our assessment of the water content of variable salts showed that domestic refined salt was highest(7.27%) and Australian rock salt was lowest(0.16%). The NaCl contents of variable salts were as follows : 93.23% in refined salt, 93.76% in Australian rock salt, 87.85% in domestic Shinan sun-dried salt and 87.98% in Chinese sun-dried salt. The content of insoluble matter in water were $0.03{\sim}0.05%$ in all salts except 0.85% in Australian industrial sun-dried salt. The pH values of salts were as follows : 8.93 in domestic sun-dried salt, 8.62 in Chinese sun-dried salt, 6.69 in refined salt, 5.83 in Australian rock salt and 6.41 in Australian industrial sun-dried salt. Regarding the mineral component content assays, domestic salt was found to harbor lower Na content but far higher Mg, K, Ca contents than other salts. In our evaluation of the hardness of cubed white radish, we detected a continuous increase in the hardness of cubed white radish soaking in a 4% salt solution of domestic Shinan natural salt, but an initial increase followed by a decrease in the hardness of cubed white radish soaking in a 4% solution of the other salts.

Responses of Pea Varieties to Rhizobium Inoculation: Nitrogenase Activity, Dry Matter Production and Nitrogen Uptake

  • Solaiman, A.R.M.;Khondaker, M.;Karim, A.J.M.S.;Hossain, M.M.
    • 한국작물학회지
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    • 제48권5호
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    • pp.361-368
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    • 2003
  • The responses of five varieties and three cultivars of pea (Pisum sativum) to Rhizobium inoculation on nodulation, growth, nitrogenase activity, dry matter production and N uptake were investigated. The pea varieties were IPSA Motorshuti-l, IPSA Motorshuti-2, IPSA Motorshuti-3, BARI Motorshuti-l, BARI Motorshuti-2 and the cultivars were 063, Local small and Local white. Fifty percent seeds of each pea variety/cultivar were inoculated with a mixture of Rhizobium inoculants at rate of 15g/kg seed and the remaining fifty percent seeds were kept uninoculated. The plants inoculated with Rhizobium inoculant significantly increased nodulation, growth, nitrogenase activity, dry matter production and N uptake. Among the varieties/cultivars, BARI Motorshuti-l performed best in almost all parameters including nitrogenase activity of root nodule bacteria of the crop. There were positive correlations among the number and dry weight of nodules (r=$0.987^{**}$, $0.909^{**}$), nitrogenase activity of root nodule bacteria (r=$0.944^{**}$, $0.882^{**}$), dry weight of shoot (r=$0.787^{**}$, $0.952^{**}$), N content (r=$0.594^{**}$, $0.605^{**}$) and N uptake (r=$0.784^{**}$, $0.922^{**}$) by shoot both at flowering and pod filling stages of the crop, respectively. It was concluded that BARI Motorshuti-l in symbiotic association with Rhizobium inoculant performed best in recording nitrogenase activity, dry matter production and N uptake by pea.

VGG-based BAPL Score Classification of 18F-Florbetaben Amyloid Brain PET

  • Kang, Hyeon;Kim, Woong-Gon;Yang, Gyung-Seung;Kim, Hyun-Woo;Jeong, Ji-Eun;Yoon, Hyun-Jin;Cho, Kook;Jeong, Young-Jin;Kang, Do-Young
    • 대한의생명과학회지
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    • 제24권4호
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    • pp.418-425
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    • 2018
  • Amyloid brain positron emission tomography (PET) images are visually and subjectively analyzed by the physician with a lot of time and effort to determine the ${\beta}$-Amyloid ($A{\beta}$) deposition. We designed a convolutional neural network (CNN) model that predicts the $A{\beta}$-positive and $A{\beta}$-negative status. We performed 18F-florbetaben (FBB) brain PET on controls and patients (n=176) with mild cognitive impairment and Alzheimer's Disease (AD). We classified brain PET images visually as per the on the brain amyloid plaque load score. We designed the visual geometry group (VGG16) model for the visual assessment of slice-based samples. To evaluate only the gray matter and not the white matter, gray matter masking (GMM) was applied to the slice-based standard samples. All the performance metrics were higher with GMM than without GMM (accuracy 92.39 vs. 89.60, sensitivity 87.93 vs. 85.76, and specificity 98.94 vs. 95.32). For the patient-based standard, all the performance metrics were almost the same (accuracy 89.78 vs. 89.21), lower (sensitivity 93.97 vs. 99.14), and higher (specificity 81.67 vs. 70.00). The area under curve with the VGG16 model that observed the gray matter region only was slightly higher than the model that observed the whole brain for both slice-based and patient-based decision processes. Amyloid brain PET images can be appropriately analyzed using the CNN model for predicting the $A{\beta}$-positive and $A{\beta}$-negative status.

Application of Tensor Theory to Pulse Sequences

  • 정관진
    • 대한자기공명의과학회:학술대회논문집
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    • 대한자기공명의과학회 2001년도 제6차 학술대회 초록집
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    • pp.57-63
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    • 2001
  • Tensor 하면 최근 3D로 white matter내의 섬유질을 멋있게 그려내는 diffusion tensor를 연상합니다. 하지만 여기서 다룰 tensor는 수학적 연산자(operator)입니다. NMR 혹은 MRI에서 스핀을 vector로 표시하고, 이 vector 스핀이 90도 rf pulse에 의해서 z축에서 x-y Plane으로 rotation되는 것을 vector diagram으로 나타냅니다. 그런데 이 vector notation으로는 스핀에 일어나는 여러 현상들을 수식적으로 모델 하는데 한계가 있습니다. 그래서 도입된 모델이 product operator와 tensor operator입니다 (1, 2, 3). 한 예로 우리가 다루는 proton NMR 신호가 single quantum인데 23Na 등에는 multiple quantum 신호가 생기게 되며 이는 vector로는 나타낼 수가 없으며 tensor로 분석이 가능합니다 (4, 5).

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The Fornix: Functional Anatomy, Normal Neuroimaging, and Various Pathological Conditions

  • Choi, Young Jae;Lee, Eun Ja;Lee, Jung Eun
    • Investigative Magnetic Resonance Imaging
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    • 제25권2호
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    • pp.59-75
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    • 2021
  • The fornix is the major white-matter outflow tract from the hippocampus; it has a significant role in cognitive function. It is readily imaged via magnetic resonance imaging; its main parts are the crura, commissure, body, and columns. In this pictorial essay, we describe and illustrate the functional and imaging anatomy of the fornix and limbic system, as well as various disease entities involving the fornix.

Yield and Nutritional Quality of Several Non-heading Chinese Cabbage (Brassica rapa var. chinensis) Cultivars with Different Growing Period and Its Modelling

  • Kalisz, Andrzej;Kostrzewa, Joanna;Sekara, Agnieszka;Grabowska, Aneta;Cebula, Stanislaw
    • 원예과학기술지
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    • 제30권6호
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    • pp.650-656
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    • 2012
  • The aims of the experiment, conducted over three years in the Central Europe field conditions, were (1) to investigate the effect of growing period (plantings in the middle and at the end of August: $1^{st}$ and $2^{nd}$ term, respectively) on yield and chemical composition of the non-heading Chinese cabbage (Brassica rapa var. chinensis) cultivars 'Taisai', 'Pak Choy White', and 'Green Fortune', and (2) to develop regression models to evaluate the changes in crop yields as a function of weather conditions. A highest marketable yield was obtained from 'Taisai' (65.71 and 77.20 $t{\cdot}ha^{-1}$), especially in the $2^{nd}$ term of production. Low yield, observed for 'Pak Choy White' was due to its premature bolting. Almost 39% ($1^{st}$ term) and 70% ($2^{nd}$ term) of plants of this cultivar formed inflorescence shoots before harvest. The highest dry matter level was observed in the leaf petioles of 'Taisai', while 'Green Fortune' was the most abundant of carotenoids and L-ascorbic acid. The content of soluble sugars was the lowest for 'Pak Choy White'. In a phase of harvest maturity, more of the analyzed constituents were gathered by plants from earlier plantings, and differences were as follows: 4.7% (dry matter), 26.3% (carotenoids) and 22.1% (L-ascorbic acid), in comparison to $2^{nd}$ term of production. Significant increase of soluble sugars level was observed for plants from later harvest. The regression model for marketable yield of Chinese cabbage cultivar 'Taisai' as a function of maximum air temperature can predict the yield with accuracy 68%. The models for yield or bolting of 'Pak Choy White', based on extreme air temperatures and sunshine duration, were more precise (98%). It should be pointed out that Taisai could be recommended for later growing period in Central Europe conditions with regard to maximum yield potential. 'Green Fortune' was notable for its uniform yielding. To obtained plants of higher nutritional value, earlier time of cultivation should be suggested. Described models can be successfully applied for an approximate simulation of Chinese cabbage yielding.