• 제목/요약/키워드: Non ROI

검색결과 91건 처리시간 0.028초

방사선치료 시 Metal artifact reduction Algorithm의 임상적용 유용성평가 (A Study on Usefulness of Clinical Application of Metal Artifact Reduction Algorithm in Radiotherapy)

  • 박자람;김민수;김정미;정현숙;이충환;백금문
    • 대한방사선치료학회지
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    • 제29권2호
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    • pp.9-17
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    • 2017
  • 목 적: 방사선치료에서 CT number에 의해 나타나는 조직의 묘사 및 전자밀도는 CT(Computed Tomography)기반의 전산화치료계획 정확성을 보장하는데 중요한 역할을 한다. 하지만 체내의 금속 이식물은 CT number의 정확성을 감소시킬 뿐 아니라 조직 묘사에 대한 불확실성을 나타내기 때문에 임상에서는 metal artifact를 감소시킬 수 있는 알고리즘이 개발되었다. 이에 본 연구에서는 본원에서 사용하고 있는 GE사의 SMART MAR의 CT number 정확도를 평가하고 방사선치료에서의 유용성에 대해 평가하고자 한다. 대상 및 방법: 영상평가를 위해 CIRS ED phantom을 이용하여 6개 조직의 rod를 삽입하여 동일한 체적의 ROI를 형성 후 original 영상을 획득하고 의료용 티타늄 rod를 삽입하여 non-SMART MAR 영상과 SMART MAR영상을 획득하여 CT number와 SD값을 비교하였다. Metal artifact로 인해 CT number 변화에 따른 선량변화 확인을 위해 전산화계획시스템 Epclipse를 사용하여 CIRS ED phantom CT 영상에 PTV를 형성하여 original 영상을 획득하고 편측 티타늄 삽입, 양측 티타늄 삽입 영상을 획득하여 non-SMART MAR와 SMART MAR영상에 동일한 치료계획을 수립하여 PTV가 받는 평균처방선량, HI(Homogeneity Index), CI(Conformity Index)를 비교, 분석하였다. 흡수선량 측정은 원통형 아크릴 팬텀과 0.125 cc ionchamber, electrometer를 이용하여 선량변환상수(cCy/nC)를 계산하고 CIRS phantom을 이용하여 편측, 양측 티타늄 rod를 삽입한 영상으로 non-SMART MAR와 SMART MAR 영상을 획득하여 동일한 지점에서의 흡수선량을 측정하여 전산화치료계획상의 point dose와 비교하였다. 결 과: 영상평가 결과 CT number는 non-SMART MAR영상보다 SMART MAR 영상이 original영상에 더 유사한 값이 나왔고 SD값은 SMART MAR영상에서 더 감소되었다. 선량평가 결과 평균처방선량과 HI 및 CI 값은 SMART MAR 영상보다 non-SMART MAR 영상이 original 영상에 더 근접한 결과가 나왔지만 통계적으로 유의하지 않았다. 흡수선량 측정결과 치료계획상의 point dose와 실제 흡수선량과의 차이가 non-SMART MAR의 영상에서는 각각 2.69, 3.63 %의 차이가 있었지만 SMART MAR영상에서는 0.56, 0.68 %로 감소하였다. 결 론: 금속 이식물을 삽입한 환자의 CT 영상에 SMART MAR를 적용했을 때 CT number 정확성 상승 및 SD 감소로 영상의 질이 향상되므로 종양과 정상조직의 윤곽도 생성 및 선량계산 시 유용할 것으로 사료된다.

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e-비즈니스가 경영성과에 미치는 영향 -홈쇼핑을 중심으로- (The Effects of e-Business on Business Performance - In the home-shopping industry -)

  • 김세중;안선숙
    • 경영과정보연구
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    • 제22권
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    • pp.137-165
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    • 2007
  • It seems high time to increase productivity by adopting e-business to overcome challenges posed by both external factors including the appreciation of Korean won, oil hikes and fierce global competition and domestic issues represented by disparities between large corporations and small and medium enterprises (SMEs), Seoul metropolitan and local cities, and export and domestic demand all of which weaken future growth engines in the Korean economy. The demands of the globalization era are for innovative changes in businessprocess and industrial structure aiming for creating new values. To this end, e-business is expected to play a core role in the sophistication of the Korean economy through new values and innovation. In order to examine business performance in e-business-adopting industries, this study analyzed the home shopping industry by closely looking into the financial ratios including the ratio of net profit to sales, the ratio of operation income to sales, the ratio of gross cost to sales cost, the ratio of gross cost to selling, general and administrative (SG&A) expense, and return of investment (ROI). This study, for best outcome, referred to corporate financial statements as a main resource to calculate financial ratios by utilizing Data Analysis, Retrieval and Transfer System (DART) of the Financial Supervisory Service, one of the Korea's financial supervisory authorities. First of all, the result of the trend analysis on the ratio of net profit to sales is as following. CJ Home Shopping has registered a remarkable increase in its ratio of net profit rate to sales since 2002 while its competitors find it hard to catch up with CJ's stunning performances. This is partly due to the efficient management compared to CJ's value of capital. Such significance, if the current trend continues, will make the front-runner assume the largest market share. On the other hand, GS Home Shopping, despite its best organized system and largest value of capital among others, lacks efficiency in management. Second of all, the result of the trend analysis on the ratio of operation income to sales is as following. Both CJ Home Shopping and GS Home Shopping have, until 2004, recorded similar growth trend. However, while CJ Home Shopping's operating income continued to increase in 2005, GS Home Shopping observed its operating income declining which resulted in the increasing income gap with CJ Home Shopping. While CJ Home Shopping with the largest market share in home shopping industryis engaged in aggressive marketing, GS Home Shopping due to its stability-driven management strategies falls behind CJ again in the ratio of operation income to sales in spite of its favorable management environment including its large capital. Companies in the Group B were established in the same year of 2001. NS Home Shopping was the first in the Group B to shift its loss to profit. Woori Home Shopping has continued to post operating loss for three consecutive years and finally was sold to Lotte Group in 2007, but since then, has registered a continuing increase in net income on sales. Third of all, the result of the trend analysis on the ratio of gross cost to sales cost is as following. Since home shopping falls into sales business, its cost of sales is much lower than that of other types of business such as manufacturing industry. Since 2002 in gross costs including cost of sales, SG&A expense, and non-operating expense, cost of sales turned out to have remarkably decreased. Group B has also posted a notable decline in the same sector since 2002. Fourth of all, the result of the trend analysis on the ratio of gross cost to SG&A expense is as following. Due to its unique characteristics, the home shopping industry usually posts ahigh ratio of SG&A expense. However, more than 80% of SG&A expense means the result of lax management and at the same time, a sharp lower net income on sales than other industries. Last but not least, the result of the trend analysis on ROI is as following. As for CJ Home Shopping, the curve of ROI looks similar to that of its investment on fixed assets. As it turned out, the company's ratio of fixed assets to operating income skyrocketed in 2004 and 2005. As far as GS Home Shopping is concerned, its fixed assets are not as much as that of CJ Home Shopping. Consequently, competition in the home shopping industry, at the moment, is among CJ, GS, Hyundai, NS and Woori Home Shoppings, and all of them need to more thoroughly manage their costs. In order for the late-comers of Group B and other home shopping companies to advance further, the current lax management should be reformed particularly on their SG&A expense sector. Provided that the total sales volume in the Internet shopping sector is projected to grow over 20 trillion won by the year 2010, it is concluded that all the participants in the home shopping industry should put strategies on efficient management on costs and expenses as their top priority rather than increase revenues, if they hope to grow even further after 2007.

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간 초음파영상에서 컴퓨터보조진단을 이용한 미만성 간질환의 영상분석 (Image Analysis of Diffuse Liver Disease using Computer-Adided Diagnosis in the Liver US Image)

  • 이진수;김창수
    • 한국방사선학회논문지
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    • 제9권4호
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    • pp.227-234
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    • 2015
  • 본 연구는 간 초음파영상에서 통계적 속성 기반의 밝기 히스토그램에 기초한 픽셀 질감분석 파라미터(평균밝기, 왜곡도, 균일도, 엔트로피)와 간과 콩팥실질의 밝기 차를 이용한 영상분석을 통해 미만성 간질환의 컴퓨터보조진단 적용 가능성을 알아보고자 하였다. 실험은 간 초음파영상(정상, 지방간, 간경화)에서 관심영역($50{\times}50$픽셀)을 설정하고 4가지의 픽셀 질감분석 파라미터와 간과 콩팥의 실질 밝기의 차를 이용하여 질환인식률을 평가하였다. 그 결과 평균밝기, 균일도, 엔트로피의 질환인식률은 100%, 왜곡도 96%로 높게 나타났으며, 간과 콩팥의 실질 밝기 차는 정상 $-1.129{\pm}12.410$, 지방간 $33.182{\pm}11.826$으로 뚜렷한 차이를 나타내었으나, 간경화의 경우 $-1.668{\pm}10.081$로 정상과는 다소 작은 차이를 나타내었다. 이러한 결과를 바탕으로 높은 질환인식률을 보인 픽셀 질감분석 파라미터와 실질 밝기 차를 이용한 컴퓨터보조진단은 미만성 간질환의 감별에 유용한 도구로써 임상적인 활용 가능성이 있으며, 판독 오류를 최소화하고 정확한 진단과 치료방향 제시에 도움이 될 것으로 기대된다.

Percentile-Based Analysis of Non-Gaussian Diffusion Parameters for Improved Glioma Grading

  • Karaman, M. Muge;Zhou, Christopher Y.;Zhang, Jiaxuan;Zhong, Zheng;Wang, Kezhou;Zhu, Wenzhen
    • Investigative Magnetic Resonance Imaging
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    • 제26권2호
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    • pp.104-116
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    • 2022
  • The purpose of this study is to systematically determine an optimal percentile cut-off in histogram analysis for calculating the mean parameters obtained from a non-Gaussian continuous-time random-walk (CTRW) diffusion model for differentiating individual glioma grades. This retrospective study included 90 patients with histopathologically proven gliomas (42 grade II, 19 grade III, and 29 grade IV). We performed diffusion-weighted imaging using 17 b-values (0-4000 s/mm2) at 3T, and analyzed the images with the CTRW model to produce an anomalous diffusion coefficient (Dm) along with temporal (𝛼) and spatial (𝛽) diffusion heterogeneity parameters. Given the tumor ROIs, we created a histogram of each parameter; computed the P-values (using a Student's t-test) for the statistical differences in the mean Dm, 𝛼, or 𝛽 for differentiating grade II vs. grade III gliomas and grade III vs. grade IV gliomas at different percentiles (1% to 100%); and selected the highest percentile with P < 0.05 as the optimal percentile. We used the mean parameter values calculated from the optimal percentile cut-offs to do a receiver operating characteristic (ROC) analysis based on individual parameters or their combinations. We compared the results with those obtained by averaging data over the entire region of interest (i.e., 100th percentile). We found the optimal percentiles for Dm, 𝛼, and 𝛽 to be 68%, 75%, and 100% for differentiating grade II vs. III and 58%, 19%, and 100% for differentiating grade III vs. IV gliomas, respectively. The optimal percentile cut-offs outperformed the entire-ROI-based analysis in sensitivity (0.761 vs. 0.690), specificity (0.578 vs. 0.526), accuracy (0.704 vs. 0.639), and AUC (0.671 vs. 0.599) for grade II vs. III differentiations and in sensitivity (0.789 vs. 0.578) and AUC (0.637 vs. 0.620) for grade III vs. IV differentiations, respectively. Percentile-based histogram analysis, coupled with the multi-parametric approach enabled by the CTRW diffusion model using high b-values, can improve glioma grading.

Development of Impact Table and optimum combination dedication module for green-remodeling advance business value assessment

  • Choi, Jun-Woo;Kim, Gyoung-Rok;Ko, Jung-Lim;Shin, Jee-Woong;Lee, Keon-Ho
    • KIEAE Journal
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    • 제16권3호
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    • pp.5-12
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    • 2016
  • Purpose: In case of existing building, A lot of attempts are being made like changing thermal system or using high efficiency products to decrease energy load and increase energy efficiency. However, (1) Absence of systemed database of green-remodeling technology and products. (2) Absence of comparative analysis system and qualitative/quantitative evaluation method of energy performance and energy reduction cost. (3) Existing remodeling was very hard to access for non-experts. So, in this paper, the authors developed data base for green-remodeling(Impact Table A, Impact Table B) and optimum combination dedication tool for user convenience. Accordingly, purpose of this paper validate usefulness of Impact Table and optimum alternative dedication tool. Method: For validate the usefulness of Impact Table and optimum combination dedication tool, the authors selected five test model office buildings. Next, through research investigation, the authors diagnosed the present state of buildings. In base of diagnosis results, select technologies for remodeling by qualitative comparison (Impact Table A). Next, evaluate quantitative price and performance technologies that selected in Impact Table A (Impact Table B). Lastly, through final evaluation of Impact Taba A and Impact Table B, determine the direction of the green-remodeling. Result: Impact Table and optimum combination dedication tool can use relative indicator for green-remodeling, especially through ROI by detail field.

타액선 신티그라피 검사에서 타액선 영상과 타액 제거율의 비교 연구 (The Comparison with Salivary Image and Saliva Clearance Rate in Salivary Scintigraphy)

  • 김영빈;신규설;박연경;김건재
    • 핵의학기술
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    • 제13권1호
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    • pp.15-19
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    • 2009
  • Purpose: The aim of study is to find a correlation between Salivary clearance rate using saliva and blood and Secretion rate and Excretion rate using Salivary gland Scan images. Materials and Methods: Salivary Scan and Stimulate clearance of $^{99m}Tc$-pertechnate was performed in 20 patients with moderate function(group 1), 9 patients with severe function glands (group 2), 3 patients with non function (group 3) and normal 6 controls. Salivay clearance rate was compare with Secretion rate and Excretion rate of Salivary glands' ROI. Result: Stimulate salivary clearance of normal controls was 18.4 ml/min, salivary clearance of group 1 was 10.1 ml/min, salivary clearance of group 2 was 10.4 ml/min and salivary clearance of group 3 was 2.3 ml/min. Significant difference was found between normal controls and group 2,3 (p<0.05, p<0.05). Secretion rate and Excretion rate of normal controls was 21.6%, 24.6%, Secretion rate and Excretion rate of group 1 was 17.6%, 24.0%, Secretion rate and Excretion rate of group 2 was 8.8%, 13.9% and Secretion rate and Excretion rate of group 3 was 5.6%, 2.9%. Significant difference was found between normal controls and group 2,3 (p<0.05, p<0.05). Conclusions: Stimulate salivary clearance using saliva and blood and Secretion rate and Excretion rate using Salivary gland Scan images accord well together.

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A Hybrid Optimized Deep Learning Techniques for Analyzing Mammograms

  • Bandaru, Satish Babu;Deivarajan, Natarajasivan;Gatram, Rama Mohan Babu
    • International Journal of Computer Science & Network Security
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    • 제22권10호
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    • pp.73-82
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    • 2022
  • Early detection continues to be the mainstay of breast cancer control as well as the improvement of its treatment. Even so, the absence of cancer symptoms at the onset has early detection quite challenging. Therefore, various researchers continue to focus on cancer as a topic of health to try and make improvements from the perspectives of diagnosis, prevention, and treatment. This research's chief goal is development of a system with deep learning for classification of the breast cancer as non-malignant and malignant using mammogram images. The following two distinct approaches: the first one with the utilization of patches of the Region of Interest (ROI), and the second one with the utilization of the overall images is used. The proposed system is composed of the following two distinct stages: the pre-processing stage and the Convolution Neural Network (CNN) building stage. Of late, the use of meta-heuristic optimization algorithms has accomplished a lot of progress in resolving these problems. Teaching-Learning Based Optimization algorithm (TIBO) meta-heuristic was originally employed for resolving problems of continuous optimization. This work has offered the proposals of novel methods for training the Residual Network (ResNet) as well as the CNN based on the TLBO and the Genetic Algorithm (GA). The classification of breast cancer can be enhanced with direct application of the hybrid TLBO- GA. For this hybrid algorithm, the TLBO, i.e., a core component, will combine the following three distinct operators of the GA: coding, crossover, and mutation. In the TLBO, there is a representation of the optimization solutions as students. On the other hand, the hybrid TLBO-GA will have further division of the students as follows: the top students, the ordinary students, and the poor students. The experiments demonstrated that the proposed hybrid TLBO-GA is more effective than TLBO and GA.

Measurement of Pancreatic Fat Fraction by CT Histogram Analysis to Predict Pancreatic Fistula after Pancreaticoduodenectomy

  • Wonju Hong;Hong Il Ha;Jung Woo Lee;Sang Min Lee;Min-Jeong Kim
    • Korean Journal of Radiology
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    • 제20권4호
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    • pp.599-608
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    • 2019
  • Objective: To evaluate the effectiveness of computed tomography (CT) Hounsfield unit histogram analysis (HUHA) in postoperative pancreatic fistula (PF) prediction. Materials and Methods: Fifty-four patients (33 males and 21 females; mean age, 65.6 years; age range, 37-89 years) who had undergone preoperative CT and pancreaticoduodenectomy were included in this retrospective study. Two radiologists measured mean CT Hounsfield unit (CTHU) values by drawing regions of interest (ROIs) at the level of the pancreaticojejunostomy site on preoperative pre-contrast images. The HUHA values were arbitrarily divided into three categories, comprising HUHA-A ≤ 0 HU, 0 HU < HUHA-B < 30 HU, and HUHA-C ≥ 30 HU. Each HUHA value within the ROI was calculated as a percentage of the entire area using commercial 3-dimensional analysis software. Pancreas texture was evaluated as soft or hard by manual palpation. Results: Fifteen patients (27.8%) had clinically relevant PFs. The PF group had significantly higher HUHA-A (p < 0.01) and significantly lower mean CTHU (p < 0.01) values than those of the non-PF group. The HUHA-A value had a moderately strong correlation with PF occurrence (r = 0.60, p < 0.01), whereas the mean CTHU had a weak negative correlation with PF occurrence (r = -0.27, p < 0.01). The HUHA-A and mean CTHU areas under the curve (AUCs) for predicting PF occurrence were 0.86 and 0.65, respectively, with significant difference (p < 0.01). The HUHA-A and mean CTHU AUCs for predicting pancreatic softness were 0.86 and 0.64, respectively, with significant difference (p < 0.01). Conclusion: The HUHA-A values on preoperative pre-contrast CT images demonstrate a strong correlation with PF occurrence.

골반통 환자의 질환 검사: 초음파와 컴퓨터단층촬영 간의 비교 (Disease Testing in Pelvic Pain Patients: Comparison between Ultrasound and Computed Tomography Imaging)

  • 구은회
    • 방사선산업학회지
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    • 제17권4호
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    • pp.385-390
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    • 2023
  • The uterus, one of women's reproductive organs, is also closely related to women's health. Among them, hemorrhagic luteal cysts, one of the causes of pelvic pain that women often experience, were observed through CT and ultrasound, and the quality of images was evaluated through quantitative and qualitative evaluations. This study sought to find out whether the test method is more helpful to patients during CT and ultrasound. This study was conducted on 15 adolescent women and 15 adult women(21.31±3.45 average age). The equipment used for filming used EC3-10X (3~10 MHZ) and Philips Mx8000 iCT 256 among Endocavity Probes among Ecube Platinum. After setting a constant ROI on the cyst and the interface as a quantitative analysis method, SNR and CNR values were measured on a 5-point scale based on image quality, lesion clarity, image distortion, clarity of the interface, and motion artifacts (p<0.05). Independent t-test and Mann Whiteny U were performed, and the statistical program used was noted when SPSS (Version 22.0 for windows software package, Chicago, IL, USA) was statistically less than 0.05. Comparing the SNR and CNR values for this experiment, it can be seen that the SNR value was higher in the case of CT images(p<0.05). As a result of the qualitative evaluation, the quality of the image, the clarity of the lesion, the distortion of the image, the clarity of the interface, and the clarity of the boundary were measured on a 5-point scale based on the movement artifact. Comparing each score, CT images scored higher with a finer difference than ultrasound images(p<0.05). In conclusion, both test methods showed excellent results in finding the patient's lesions. However, in quantitative and qualitative evaluations, CT produced higher results in detecting lesions than ultrasound. However, for cyst tests that require continuous observation, ultrasonography, a non-invasive method that is advantageous for patients, will be clinically useful. Therefore, observing the patient's lesions by appropriately distributing these two test methods will provide optimal diagnostic information. These results will be useful for providing clinical basic data and educational materials to CT and US users in the future.

XRCC1 Gene Polymorphism, Clinicopathological Characteristics and Stomach Cancer Survival in Thailand

  • Putthanachote, Nuntiput;Promthet, Supannee;Suwanrungruan, Krittika;Chopjitt, Peechanika;Wiangnon, Surapon;Chen, Li-Sheng;Yen, Ming-Fang;Chen, Tony Hsiu-Hsi
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권14호
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    • pp.6111-6116
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    • 2015
  • Background: Stomach cancer is one of leading causes of death worldwide. In Thailand, the incidence and mortality of stomach cancer are in the top ten for cancers. Effects of DNA repair gene X-ray repair cross complementary protein 1 (XRCC1) polymorphisms and clinicopathological characteristics on survival of stomach cancer in Thailand have not been previously reported. The aim of this study was to investigate the effects of XRCC1 gene and clinicopathological characteristics on survival of stomach cancer patients in Thailand. Materials and Methods: Data and blood samples were collected from 101 newly diagnosed stomach cancer cases pathologically confirmed and recruited during 2002 to 2006 and followed-up for vital status until 31 October 2012. Genotype analysis was performed using real-time PCR-HRM. The data were analyzed using the Kaplan-Meier method to yield cumulative survival curve, log-rank test to assess statistical difference of survival and Cox proportional hazard models to estimate adjusted hazard ratio. Results: The total followed-up times were 2,070 person-months, and the mortality rate was 4.3 per 100 person-months. The median survival time after diagnosis was 8.07 months. The cumulative 1-, 3-, 5-years survival rates were 40.4%, 15.2 % and 10.1 % respectively. After adjustment, tumour stage were associated with an increased risk of death (p= 0.036). The XRCC1 Gln339Arg, Arg/Arg homozygote was also associated with increased risk but statistically this was non-significant. Conclusions: In addition to tumour stage, which is an important prognostic factor affecting to the survival of stomach cancer patients, the genetic variant Gln339Arg in XRCC1 may non-significantly contribute to risk of stomach cancer death among Thai people. Larger studies with different populations are need to verify ours findings.