• 제목/요약/키워드: Gray Region

검색결과 332건 처리시간 0.032초

Effects of amygdalin on the functional recovery and c-Fos expression in the ventrolateral periaqueductal gray region after sciatic crushed nerve injury in rats

  • Kim, Toung-Wook;Lim, Hyung-Ho;Song, Yun-Kyung;Kim, Sung-Eun;Lee, Jin-Woo;Lee, Myoung-Hwa;Seo, Jin-Hee;Shin, Mal-Soon;Lim, Baek-Vin;Kim, Chang-Ju
    • Advances in Traditional Medicine
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    • 제7권5호
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    • pp.556-563
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    • 2008
  • Peripheral nerve injuries are a commonly encountered clinical problem and often result in a chronic pain and severe functional deficits. The expression of c-Fos is sometimes used as a marker of increased neuronal activity. We have prepared the aqueous extract of amygdalin from Armeniacae semen for pain control. In the present study, we investigated the effects of amygdalin on the recovery rate of the locomotor function and on the expression of c-Fos in the ventrolateral periaqueductal gray (vlPAG) region following sciatic crushed nerve injury in rats. Walking track analysis for the evaluation of functional recovery and immunohistochemistry for the c-Fos expression were used in this study. In the present results, characteristic gait change with dropping of the sciatic function index (SFI) was observed and c-Fos expression in the vlPAG was suppressed following sciatic crushed nerve injury in rats. Amygdalin enhanced SFI value and restored c-Fos expression in the vlPAG to the control value. The present our study indicated that amygdalin activates neurons in the vlPAG, and it facilitates functional recovery following peripheral nerve injury.

Gray Matter Volume Reductions Were Associated with TPH1 Polymorphisms in Depressive Disorder Patients with Suicidal Attempts

  • Lee, Sang Min;Lee, Soyoen;Kang, Won Sub;Jahng, Geon-Ho;Park, Hae Jeong;Kim, Su Kang;Park, Jin Kyung
    • Psychiatry investigation
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    • 제15권12호
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    • pp.1174-1180
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    • 2018
  • Objective Structural changes of brain areas have been reported in depressive disorder and suicidal behavior (SB), in which TPH1 also has been known as a promising candidate gene. We investigated gray matter volume (GMV) differences, TPH1 rs1800532 and rs1799913 polymorphisms previously found to be associated with depressive disorder and SB, and the relationship between the two markers. Methods Thirteen depressive disorder patients with suicidal attempts (SA) and twenty healthy controls were included. We examined GMV differences using a voxel-based morphometry and regions of interest analysis. Direct sequencing was used for genotyping. Results The patients showed significant GMV reduction in left cerebral region including middle frontal gyrus, inferior frontal gyrus, and anterior cingulate cortex; in right middle temporal gyrus; in left cerebellar tonsil; and in right cerebral region including precentral gyrus and postcentral gyrus (corrected p<0.005). The right precentral and postcentral gyri GMV values of AA and CA genotypes patients were significantly decreased compared to those of CC genotype subjects (corrected p=0.040). Conclusion These findings show the possibility that both GMV reductions and TPH1 rs1800532/rs1799913 A allele may be involved in the pathogenesis of depressive disorder patients with SA.

I형 맞대기 용접선 추적용 시각센서 시스템에 관한 연구 (A Study on the Vision Sensor System for Tracking the I-Butt Weld Joints)

  • 배희수;김재웅
    • 한국정밀공학회지
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    • 제18권9호
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    • pp.179-185
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    • 2001
  • In this study, a visual sensor system for weld seam tracking the I-butt weld joints in GMA welding was constructed. The sensor system consists of a CCD camera, a diode laser with a cylindrical lens and a band-pass-filter to overcome the degrading of image due to spatters and arc light. In order to obtain the enhanced image, quantitative relationship between laser intensity and iris number was investigated. Throughout the repeated experiments, the shutter speed was set at 1-milisecond for minimizing the effect of spatters on the image, and therefore most of the spatter trace in the image have been found to be reduced. Region of interest was defined from the entire image and gray level of searched laser line was compared to that of weld line. The differences between these gray levels lead to spot the position of weld joint using central difference method. The results showed that, as long as weld line was within $^\pm$15$^\circ$from the longitudinal straight fine, the system constructed in this study could track the weld line successful1y. Since the processing time reduced to 0.05 sec, it is expected that the developed method could be adopted to high speed welding such as laser welding.

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지능 영상 감시를 위한 흑백 영상 데이터에서의 효과적인 이동 투영 음영 제거 (An Effective Moving Cast Shadow Removal in Gray Level Video for Intelligent Visual Surveillance)

  • 응웬탄빈;정선태;조성원
    • 한국멀티미디어학회논문지
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    • 제17권4호
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    • pp.420-432
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    • 2014
  • In detection of moving objects from video sequences, an essential process for intelligent visual surveillance, the cast shadows accompanying moving objects are different from background so that they may be easily extracted as foreground object blobs, which causes errors in localization, segmentation, tracking and classification of objects. Most of the previous research results about moving cast shadow detection and removal usually utilize color information about objects and scenes. In this paper, we proposes a novel cast shadow removal method of moving objects in gray level video data for visual surveillance application. The proposed method utilizes observations about edge patterns in the shadow region in the current frame and the corresponding region in the background scene, and applies Laplacian edge detector to the blob regions in the current frame and the corresponding regions in the background scene. Then, the product of the outcomes of application determines moving object blob pixels from the blob pixels in the foreground mask. The minimal rectangle regions containing all blob pixles classified as moving object pixels are extracted. The proposed method is simple but turns out practically very effective for Adative Gaussian Mixture Model-based object detection of intelligent visual surveillance applications, which is verified through experiments.

호흡 연동에 의한 EBT 단면 영상에서의 폐실질 윤곽선 검출 (The Contour Extraction of Lung Parenchyma on the EBT Image Acquired with Spirometric Gating)

  • 김명남;원철호
    • 센서학회지
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    • 제8권2호
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    • pp.154-162
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    • 1999
  • 본 논문에서는 자체 제작한 호흡연동장치를 이용하여 폐실질의 EBT 단면 영상을 획득하였으며 EBT 단면 영상에서 폐실질의 윤곽선을 검출하기 위하여 수작업에 의한 대략적인 윤곽선 묘사 후 자동적으로 윤곽선을 검출하는 방식인 동적 윤곽선 모델 기반의 새로운 에너지 함수를 제안하였다. 획득된 EBT 단면 영상으로부터 다른 영역에 비하여 낮은 폐실질 영역의 휘도 준위와 윤곽선 벡터의 방향을 고려한 동적 윤곽선 모델의 새로운 에너지 함수를 이용하여 폐실질 영역치 윤곽선을 효과적으로 검출하였다. 또한, 기존의 방법과 비교하여 제안한 에너지 함수를 이용한 검출 방법의 유효성을 확인하였다.

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최적화된 Hough 변환에 근거한 효율적인 차선 인식 (An Efficient Lane Detection Based on the Optimized Hough Transform)

  • 박재현;이학만;조재현;차의영
    • 한국정보통신학회논문지
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    • 제10권2호
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    • pp.406-412
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    • 2006
  • 본 논문에서는 차선 추출을 위해서 OHT(Optimized Hough Transform) 알고리듬을 제안한다. 입력 영상을 그레이 영상으로 변환하고 변환된 그레이 영상은 수평 투영을 통해 주변 배경 영역과 도로 영역으로 분리된다. 분리된 도로 영역에서 OHT(Optimized Hough Transform) 알고리듬을 적용한다. OHT(Optimized Hough Transform) 알고리듬은 다음과 같이 특징지어진다. 첫째, 윤곽선 방향각을 이용해서 차선후보 픽셀을 최소화하였으며, 둘째, 좌우 차선의 범위는 제한된 ${\theta}$값으로서 정의하였다. 실험 결과, 제안한 알고리듬이 기존의 Hough Transform보다 훨씬 효율적임을 알 수 있었다.

Acrophialophora ellipsoidea, an Undescribed Species Isolated from Soil in Korea

  • Ayim, Benjamin Yaw;Kim, Young-Tae;Das, Kallol;Kang, In-Kyu;Lee, Seung-Yeol;Jung, Hee-Young
    • 한국균학회지
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    • 제47권3호
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    • pp.181-186
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    • 2019
  • A designated fungal isolate, KNU-US-1802E was isolated from the soil in Uiseong, Korea. To identify characteristics of the isolate, it was cultured on PDA media for 6 days at $35^{\circ}C$. Colonies on PDA are flat, light gray, dense, with entire margins; reverse dark gray to black, with white margins. Aerial mycelia were smooth-walled, hyaline and 40~42 mm diameter after 6 days at $35^{\circ}C$. Conidia were hyaline, one-celled, ellipsoidal to fusiform, forming long chains with average length ${\times}$ width of $5.0{\pm}0.3{\times}2.9{\pm}0.2{\mu}m$. Molecular analysis indicates that the internal transcribed spacer (ITS) region and partial beta-tubulin (tub2) gene sequence showed 100% and 99% similarities, respectively with Acrophialophora ellipsoidea CGMCC 3.15255 collected from China. Phylogenetic analysis by the neighbor-joining (NJ) method shows that the KNU-US-1802E was clustered with A. ellipsoidea CGMCC 3.15255 in a phylogenetic tree constructed using the concatenated sequences of ITS region and tub2 gene sequences with a high bootstrap value. Based on these findings, the isolate KNU-US-1802E was identified as Acrophialophora ellipsoidea, and this is the first report of this isolate in Korea.

개에서 실험적 골결손 치유 반응에 대한 초음파 평가 (Ultrasonographic Evaluation of the Bone Beating of the Experimentally Induced Bone Defect in Dogs)

  • 박진희;성윤상;엄기동
    • 한국임상수의학회지
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    • 제23권3호
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    • pp.258-262
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    • 2006
  • This study was performed to evaluate the usefulness of gray-scale and power Doppler ultrasonography, and to compare with radiography for detection of the repairing in experimentally induced bone defects in dogs. In 4 adult beagle dogs bilateral bone defects were created in 8 canine femurs as sized as 5 mm diameter. Mean detection time of the ultrasonographic endosteal callus formations(mean $14.25{\pm}2.31$ days) was significantly shorter than that of the radiographic opacity chanees(mean $23.50{\pm}2.27$ days) in the defected region. Mean time of the neovascularizd flow signal(mean $6.00{\pm}3.59$ days) from the power Doppler ultrasonographic examination was significantly shorter than that of gray-scale ultrasonographic findings. With these results, gray-scale ultransonography and power Doppler ultrasonography can be used for an early detection modality for bone healing.

웨이퍼 다이 위치 인식을 위한 명암 영상 코너점 검출 (Comer Detection in Gray Lavel Images for Wafer Die Position Recognition)

  • 나재형;오해석
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제31권6호
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    • pp.792-798
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    • 2004
  • 본 논문에서는 웨이퍼 영상에서 다이 위치를 인식하기 위한 새로운 코너점 검출 방법을 제안한다. 웨이퍼 다이 위치 인식은 WSCSP(Wafer Scale Chip Scale Packaging)기술에 필수적인 과정으로서 웨이퍼 윗면의 다이 패턴을 얼마나 정확히 인식하느냐에 따라서 후 공정의 정확도가 결정된다. 본 논문에서는 정확한 다이 위치를 인식하기 위하여 계층적 명암 영상 코너 검출 방법을 제안한다. 새로운 코너 검출자는 코너 영역을 마스크 크기에 따라서 동심원으로 나누어 각각의 동심원에서의 코너성과 방향성을 구하여 정확한 코너점을 검출하도록 하였다. 또한 계층적 구조를 가지고 처리하여 기존의 명암 영상코너 검출자 보다 더 빠른 처리 속도를 얻을 수 있도록 하였다.