• 대한방사선기술학회지:방사선기술과학
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• 제44권6호
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• pp.655-661
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• 2021

Positron emission tomography (PET) images is affected by acquisition time, short acquisition times results in low gamma counts leading to degradation of image quality by statistical noise. Noise2Void(N2V) is self supervised denoising model that is convolutional neural network (CNN) based deep learning. The purpose of this study is to evaluate denoising performance of N2V for PET image with a short acquisition time. The phantom was scanned as a list mode for 10 min using Biograph mCT40 of PET/CT (Siemens Healthcare, Erlangen, Germany). We compared PET images using NEMA image-quality phantom for standard acquisition time (10 min), short acquisition time (2min) and simulated PET image (S2 min). To evaluate performance of N2V, the peak signal to noise ratio (PSNR), normalized root mean square error (NRMSE), structural similarity index (SSIM) and radio-activity recovery coefficient (RC) were used. The PSNR, NRMSE and SSIM for 2 min and S2 min PET images compared to 10min PET image were 30.983, 33.936, 9.954, 7.609 and 0.916, 0.934 respectively. The RC for spheres with S2 min PET image also met European Association of Nuclear Medicine Research Ltd. (EARL) FDG PET accreditation program. We confirmed generated S2 min PET image from N2V deep learning showed improvement results compared to 2 min PET image and The PET images on visual analysis were also comparable between 10 min and S2 min PET images. In conclusion, noisy PET image by means of short acquisition time using N2V denoising network model can be improved image quality without underestimation of radioactivity.

• 대한가정학회지
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• 제30권3호
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• pp.33-43
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• 1992

The objective of this study were to (1) investigate the relationship between evaluations of apparel advertising, fashion involvement, and social attitudes, (2) examine how evaluation of apparel advertising, fashion involvement, and social attitudes vary according to gender, and (3) investigate the possible differences in purchase attitudes toward the advertised apparels according to gender and advertisement slogan. Questionnaire for evaluations of apparel advertising was comprised of four sections; apparel advertising acceptance, evaluation of advertisement slogan, purchase attitude toward the advertised apparels, and perception of effective media for apparel advertising. For evaluation of advertisement slogan, 5 sets of apparel advertisements were selected. Each set had two advertisements; one advertisement contained an image-oriented slogan, while the other had a quality-oriented slogan. "The Social Attitude Scale' by Kerlinger and 'Fashion Involvement Index' by Tigert, Ring & King were used. All the items were selected on the Cronbach's alpha reliability. The subjects were 217 college male and famale students in Seoul; 60 were asked about purchase attitude toward the image-oriented slogan, 60 purchase attitude toward the quality-oriented slogan, and 97 all the items included in evaluation of the two slogans. The data were analyzed using Pearson's correlation coefficient, X2-test, t-test, two-way ANOVA, and multiple regression analysis. The results of the study were the followings. 1. Fashion involvement had positive relationship with apparel advertising acceptance. The higher the level of conservative attitude males had, the more positive attitude they had in fashion involvement and apparel advertising acceptance. Subjects high in conservative attitude, fashion involvement, and apparel advertising acceptance. Subjects high in conservative attitude, fashion involvement, and apparel advertising acceptance had more positive in purchase of the advertised apparels. 2. Females high in apparel advertising acceptance were more favorable toward image-oriented advertisements. 3. Fashion involvement and apparel advertising acceptance were significantly higher in females than in males. Liberal attitude was significantly higher in males than in females. Evaluation of advertisement slogan did not differ according to gender. 4. Males perceived 'TV' was the most effective media for apparel advertising while females perceived 'display' was the most effective. 5. No significant interactions between advertisement slogan and gender were found in purchase attitude of the advertising apparels. 6. Apparel advertising acceptance was influenced by fashion involvement, social attitude, and sex. The explanatory power of the three variables was 17%.

• 항공우주기술
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• 제8권2호
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• pp.26-32
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• 2009

위성영상의 융합에 있어, 가장 중요한 점은 전정영상의 공간적 세밀함과 다중분광영상의 분광정보 모두를 보존하는 것이다. 다양한 영상융합 기법 중에서, IHS 변환을 이용한 융합기법은 폭넓게 사용되고 있으며, 계산과정이 매우 단순하다는 장점을 갖고 있다. 본 연구에서는, fast IHS 변환과 trade-off 파라미터 $\alpha^i$를 이용한 융합기법을 제안한다. 제안한 융합 기법은 분광 ERGAS와 공간 ERGAS의 평가를 통하여, 융합영상에서 분광정보와 공간적 세밀함 사이의 trade-off 최적화를 가능하게 한다. IKONOS 영상의 실험결과, 제안한 기법은 기존의 fast IHS 변환을 이용한 융합기법에 비해 공간적 세밀함과 분광정보의 보존측면에서 더 효과적임을 확인할 수 있었다.

• 대한디지털의료영상학회논문지
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• 제14권2호
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• pp.1-8
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• 2012

Purpose : We aim at presenting the optimum radiologic factor through the evaluation of dose variation and of image quality through the use of a grid in Humerus examination and the change of dose because of the change of radiologic factor. Materials and Methods : We divided it in 3 cases: when using a grid or not and when using IP(Image Plate) in a digital system. Also, as fixing kVp to 70kVp it changed mAs, and fixing mAs to 10 it changed kVp, we put up resolution chart and Burger rose phantom on the acrylic phantom of 7cm (the same level of Humerus) to evaluate the dose and image. We used Image J program to evaluate the quantitative resolution of the obtained image, and made the qualitative evaluation and statistical analysis of the image saved in PACS for 20 radiologic technologist with more than 10 years of experience in order of evaluate its contrast. We used SPSS10(SPSS Inc. Chicago, Illinois) for statistical analysis. Results : We observed the analytic result of resolution by the change of kVp that it was $4.539dGycm^2$ in 60kVp and $757.472dGycm^2$ in 75kVp, which increased about 64.6% of dose, while for the resolution it had the pixel value 30.7% better with 851 in 60kVp than 651 in 75kVp. Also, we analyzed the result of resolution by the change of mAs that it was $3.106dGycm^2$ in 5mAs, and $12.470dGycm^2$ in 20mAs, which increased about 400% of dose, while for the resolution DR had 678 in 5mAs, and 724 in 20mAs that increased about 6.8% of resolution. We made the qualitative evaluation of contrast by the change of kVp that DR showed the higher quality than CR, but the contrast by the change of kVp had no special different at the moment of visual evaluation, nor statistically significant difference(P>0.05). We observed the qualitative evaluation of contraste by the change of mAs that the contrast increased as DR increased mAs, and had statistically significant difference(P<0.05). On the other hand, CR had no significant difference for more than 10mAs nor statistically significant difference(P>0.05). Conclusion : In case of some patients with radiographic exposure by the repeated examination such as emergent patient or Follow up patient, they are considered to try to limit the use of a grid, to set kVp under 65kVp in fixed mode, to select less than 10mAs and to reduce the possibility of patient being bombed.

• 한국방사선학회논문지
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• 제17권6호
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• pp.801-808
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• 2023

소아 두부 CT 검사 시 방사선 피폭 최소화와 진단적 가치가 높은 영상을 확보하기 위하여 Volume Axial Mode, High Pitch Mode, Helical Mode 간 피폭 선량과 영상의 비교 분석을 통하여 Volume Axial Mode의 유용성을 평가하였다. 1세 미만의 소아 두부 CT Helical Mode, High Pitch Mode, Volume Axial Mode에서 70, 80, 100 kVp의 관전압에 따라 영상평가와 선량평가를 시행하였다. 영상평가는 각 영상에 ROI를 설정해 SNR과 CNR을 산출하여 영상평가를 진행하였으며 일원배치 분산분석(ONE-WAY ANOVA)을 사용하여 통계적 유의성을 평가하였고, 선량평가는 검사 후 장비에서 직접 제공하는 Dose Report에 표시되는 DLP값을 이용하여 비교 분석하였다. Volume Axial Mode를 사용하여 검사하였을 때, DLP 값은 전체적으로 낮게 나왔고, SNR과 CNR은 각각 ROI와 kVp별 차이를 가졌다. Volume Axial Mode가 다른 Scan Mode와 비교하여 영상의 질을 평가하였을 때, 그 차이 값이 균일하지 않아 특정 Mode가 우수하다고 볼 수 없었으나 선량 측면에서는 가장 피폭선량을 줄일 수 있었다. 또한 Volume Axial Mode의 짧은 스캔 시간과 Table의 이동 없이 제자리에서 검사 할 수 있는 점은 방사선 감수성이 높은 1세 미만 소아 CT검사에서 유용하게 적용된다.

• 전자공학회논문지A
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• 제33A권10호
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• pp.28-39
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• 1996

The methodology is suggested to measure the quality of service in telecommunications. Through questionnaire, the subjective evaluation of users is surveyed, and quantified by MOS method. The MOS mehtod has some problems in interpretation which are mentioned in this paper. The cumulative percent curve is proposed to evaluate the quality of service. As an example, the image quality of G3 facsimile is measured.

• 한국환경생태학회지
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• 제7권2호
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• pp.231-240
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• 1994

덕유산 국립공원의 삼림경관, 삼림 시설물 경관, 집단시설지구 경관, 사찰경관을 대강으로 물리적 환경이 지닌 환경적 질을 계량적 접근방법으로 분석하여 합리적인 이용개발 및 보전관리에 필요한 기초자료를 제시하는 것을 목적으로 심리량 분석을 취해 S. D. Scale 을 측정하고 인자분석 $\ulcorner$알고니즘$\lrcorner$을 통하여 물리적 환경의 공간 이미지 구조를 밝혔으며, 시각적 선호도를 측정하여 결정 인자를 추출하였으며 각 인자 상호간의 중요성을 규명하였다. 덕유산 국립공원의 공간 $\ulcorner$이미지$\lrcorner$를 함축하는 변인은 종합평가적 차원, 호감성 차원, 공간적 차원, 자연성 차원 및 품격 차원 등 5개 인자군으로 분석되었으며 종합평가적 차원, 공간적 차원 및 호감성 차원의 인자가 공간 이미지를 대표하는 인자군으로 나타났다. 시각적 선호도를 결정짓는 주요 설명 변수는 계곡물의 깨끗함과 상쾌함, 지형지세의 특이성, 등산로 설치의 자연스러움 및 사찰건물 외관과 주변 인공식생과의 어울림 등이 시각적 선호도 결정의 주요변수로 작용하고 있었다.

• ETRI Journal
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• 제36권4호
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• pp.617-624
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• 2014

Through-silicon via (TSV) technology provides much of the benefits seen in advanced packaging, such as three-dimensional integrated circuits and 3D packaging, with shorter interconnection paths for homo- and heterogeneous device integration. In TSV, a destructive cross-sectional analysis of an image from a scanning electron microscope is the most frequently used method for quality control purposes. We propose a quantitative evaluation method for TSV etch profiles whereby we consider sidewall angle, curvature profile, undercut, and scallop. A weighted sum of the four evaluated parameters, nominally total score (TS), is suggested for the numerical evaluation of an individual TSV profile. Uniformity, defined by the ratio of the standard deviation and average of the parameters that comprise TS, is suggested for the evaluation of wafer-to-wafer variation in volume manufacturing.

• 대한방사선기술학회지:방사선기술과학
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• 제47권1호
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• pp.21-28
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• 2024

This study was purpose to quantitative evaluation of comparison of the image intensity uniformity and noise power spectrum (NPS) by using American college of radiology (ACR) phantom for magnetic resonance imaging (MRI). The MRI was used achiva 3.0T MRI and discovery MR 750, 3.0T, the head and neck matrix shim SENSE head coil were 32 channels receive MR coil. The MRI was used parameters of image sequence for ACR standard and general hospital. NPS value of the ACR standard T2 vertical image in GE equipment was 7.65E-06 when the frequency was 1.0 mm^-1. And the NPS value of the ACR hospital T1 region of interest (ROI) 9 over all vertical image in Philips equipment was 9E-08 when the frequency was 1.0 mm^-1 and the NPS value of the hospital T2 ROI 9 over all vertical image in Philips equipment was 1.06E-07 when the frequency was 1.0 mm^-1. NPS was used efficiently by using a general hospital vertical sequence more than the standard vertical sequence method by using the ACR phantom. Furthermore NPS was the quantitative quality assurance (QA) assessment method for noise and image intensity uniformity characteristics was applied mutatis mutandis, and the results values of the physical imaging NPS of the 3.0T MRI and ACR phantom were presented.

• Agricultural and Biosystems Engineering
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• 제4권1호
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• pp.8-15
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• 2003

In Korea, quality evaluation of dried oak mushrooms are done first by classifying them into more than 10 different categories based on the state of opening of the cap, surface pattern, and colors. And mushrooms of each category are further classified into 3 or 4 groups based on its shape and size, resulting into total 30 to 40 different grades. Quality evaluation and sorting based on the external visual features are usually done manually. Since visual features of mushroom affecting quality grades are distributed over the entire surface of the mushroom, both front (cap) and back (stem and gill) surfaces should be inspected thoroughly. In fact, it is almost impossible for human to inspect every mushroom, especially when they are fed continuously via conveyor. In this paper, considering real time on-line system implementation, image processing algorithms utilizing artificial neural network have been developed for the quality grading of a mushroom. The neural network based image processing utilized the raw gray value image of fed mushrooms captured by the camera without any complex image processing such as feature enhancement and extraction to identify the feeding state and to grade the quality of a mushroom. Developed algorithms were implemented to the prototype on-line grading and sorting system. The prototype was developed to simplify the system requirement and the overall mechanism. The system was composed of automatic devices for mushroom feeding and handling, a set of computer vision system with lighting chamber, one chip microprocessor based controller, and pneumatic actuators. The proposed grading scheme was tested using the prototype. Network training for the feeding state recognition and grading was done using static images. 200 samples (20 grade levels and 10 per each grade) were used for training. 300 samples (20 grade levels and 15 per each grade) were used to validate the trained network. By changing orientation of each sample, 600 data sets were made for the test and the trained network showed around 91 % of the grading accuracy. Though image processing itself required approximately less than 0.3 second depending on a mushroom, because of the actuating device and control response, average 0.6 to 0.7 second was required for grading and sorting of a mushroom resulting into the processing capability of 5,000/hr to 6,000/hr.