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서욱장,정선미,고수진,이창근,김재승,임주혁,유빈,문희범 대한핵의학회 2003 핵의학 분자영상 Vol.37 No.5
Purpose: We describe a 54-year-old woman with systemic lupus erythematosus (SLE) who suddenly presented with chorea and had positive antiphospholipid antibodies. F-18 FDG PET showed abnormally increased glucose metabolism in bilateral putamen and primary motor cotex. Tc-99m ECD SPECt also showed abnormally increased regional cerebral blood flow in bilateral putamen. She was treated with corticosteroid and aspirin after which the symptoms improved. Four months later, follow up F-18 FDG PET showed improvement with resolution of hypermetabolism in bilateral putamen. This case suggests that striatal hypermetabolism is associated with chorea in SLE.
Prediction of Moisture Content of Grafted Cucumber Seedlings using Hyperspectral Image
( Sung Hyuk Jang ),( Ho Jun Lee ),( Hwa Dong Jang ),( Jae Su Lee ),( Yong Hyeon Kim ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
This study was conducted to predict the moisture content of grafted cucumber seedlings using hyperspectral imaging system. The grafted cucumber seedlings were healed under a mixed red and blue LED. The hyperspectral images were obtained using a hyperspectral camera at shortwave infrared (SWIR) ranges. These images taken every 24 hours during the healing period of 144 hours, were preprocessed with brightness correction, smoothing, normalization and first-order derivative. The moisture content of grafted seedlings was determined just after acquiring the hyperspectral image. To make a prediction model and identify significant wavelengths, some statistical analysis including stepwise multiple linear regression (SMLR), the principal component regression (PCR) and the partial least squares regression (PLSR) between moisture content and spectral reflectance were performed. The correlation coefficient between spectral reflectance and the moisture content of grafted cucumber seedlings were high negative at the wavelengths of 1,400-1,500nm, 1,800-1,950nm and over 2,100nm. Most of prediction models included wavelengths in the ranges of 1,370-1,450nm that was known as the water absorption bands. However, a first-order derivative PLSR model was greatly affected by the change of spectral reflectance between 1,666nm and 1,672nm. Determination coefficients of the model predicting moisture content for calibration and validation dataset were 0.77 and 0.74, respectively. And the standard errors for calibration and prediction dataset were 1.17% and 0.96%, respectively. This result indicated that hyperspectral images could be applied to predict the moisture content of grafted cucumber seedling.
Jang, Sung Hyuk,Hwang, Yong Kee,Lee, Ho Jun,Lee, Jae Su,Kim, Yong Hyeon The Korean Society of Remote Sensing 2018 大韓遠隔探査學會誌 Vol.34 No.4
This study was performed to select the significant wavelengths for predicting the chlorophyll content of grafted cucumber seedlings using hyperspectral images. The visible and near-infrared (VNIR) images and the short-wave infrared images of cucumber cotyledon samples were measured by two hyperspectral cameras. A correlation coefficient spectrum (CCS), a stepwise multiple linear regression (SMLR), and partial least squares (PLS) regression were used to determine significant wavelengths. Some wavelengths at 501, 505, 510, 543, 548, 619, 718, 723, and 727 nm were selected by CCS, SMLR, and PLS as significant wavelengths for estimating chlorophyll content. The results from the calibration models built by SMLR and PLS showed fair relationship between measured and predicted chlorophyll concentration. It was concluded that the hyperspectral imaging technique in the VNIR region is suggested effective for estimating the chlorophyll content of grafted cucumber leaves, non-destructively.