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Comparison of 3D Volumetric Subtraction Technique and 2D Dynamic Contrast Enhancement Technique in the Evaluation of Contrast Enhancement for Diagnosing Cushing's Disease

  • Park, Yae Won;Kim, Ha Yan;Lee, Ho-Joon;Kim, Se Hoon;Kim, Sun-Ho;Ahn, Sung Soo;Kim, Jinna;Lee, Seung-Koo
    • Investigative Magnetic Resonance Imaging
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    • v.22 no.2
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    • pp.102-109
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    • 2018
  • Purpose: The purpose of this study is to compare the performance of the T1 3D subtraction technique and the conventional 2D dynamic contrast enhancement (DCE) technique in diagnosing Cushing's disease. Materials and Methods: Twelve patients with clinically and biochemically proven Cushing's disease were included in the study. In addition, 23 patients with a Rathke's cleft cyst (RCC) diagnosed on an MRI with normal pituitary hormone levels were included as a control, to prevent non-blinded positive results. Postcontrast T1 3D fast spin echo (FSE) images were acquired after DCE images in 3T MRI and image subtraction of pre- and postcontrast T1 3D FSE images were performed. Inter-observer agreement, interpretation time, multiobserver receiver operating characteristic (ROC), and net benefit analyses were performed to compare 2D DCE and T1 3D subtraction techniques. Results: Inter-observer agreement for a visual scale of contrast enhancement was poor in DCE (${\kappa}=0.57$) and good in T1 3D subtraction images (${\kappa}=0.75$). The time taken for determining contrast-enhancement in pituitary lesions was significantly shorter in the T1 3D subtraction images compared to the DCE sequence (P < 0.05). ROC values demonstrated increased reader confidence range with T1 3D subtraction images (95% confidence interval [CI]: 0.94-1.00) compared with DCE (95% CI: 0.70-0.92) (P < 0.01). The net benefit effect of T1 3D subtraction images over DCE was 0.34 (95% CI: 0.12-0.56). For Cushing's disease, both reviewers misclassified one case as a nonenhancing lesion on the DCE images, while no cases were misclassified on T1 3D subtraction images. Conclusion: The T1 3D subtraction technique shows superior performance for determining the presence of enhancement on pituitary lesions compared with conventional DCE techniques, which may aid in diagnosing Cushing's disease.

Chemical Analysis on Biologically Active Substances among Habitats of Allium victorialis for a High Income Crop (산마늘의 고소득 작물화를 위한 기능성 물질 분석)

  • 박희준
    • Korean Journal of Plant Resources
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    • v.11 no.1
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    • pp.51-59
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    • 1998
  • When the contents of the constituents such as total amino acids, free amino acids, volatile organosulfuric compounds and steroidal saponins among three origins in the aerial-and underground parts of Allium victorialis, it was suggested that the characteristic components regarding to quality evaluation could be differed according to the purpose of utilization. For the utilization of amino acids, underground parts of this plant was shown to be better than aerial part. In addition, Ulung island origin was found to contain the highest amino acids content among the three origins though the difference was small. The amino acids showing remarkably high contents were appeared to be arginine, glutamine and asparagine. In the volatile organosulfuric compounds, the origina of Mt. Odae and Mt. Chiri positioned in inland showed higher contents than Ulung island origin geographically positioned in the ocean. Inland origins were shown to contain higher organosulfurie component contents in aerial parts than in underground parts while those of Ulung island origin were higher in underground parts than aerial parts. Underground parts, regarding to saponin constituents, showed higher contents than aerial parts. Underground parts of Ulung island origin were shown to contain more saponins than those of other two origins and the sequence of the contents was in the order of Ulung island>Mt. Chiri>Mt Odac.

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Frequency Synchronization Algorithm for Improving Performance of OFDMA System in 3GPP LTE Downlink (3GPP LTE 하향링크 OFDMA 시스템의 수신 성능 향상을 위한 주파수 동기 알고리즘)

  • Lee, Dae-Hong;Im, Se-Bin;Roh, Hee-Jin;Choi, Hyung-Jin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.1C
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    • pp.120-130
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    • 2009
  • In this paper, we propose a receiver structure for frequency synchronization in OFDMA (Orthogonal Frequency Division Multiple Access) system which is considered as 3GPP LTE(Long Term Evolution) downlink. In general, OFDMA frequency synchronization consists of two parts: coarse synchronization and fine synchronization. We consider P-SCH (Primary-Synchronization Channel) and CP (Cyclic Prefix) of OFDMA symbol for coarse synchronization and fine synchronization, respectively. The P-SCH signal has two remarkable disadvantages that it does not have sufficiently many sub-carriers and its differential correlation characteristic is not good due to ZC (Zadoff Chu) sequence-specific property. Hence, conventional frequency synchronization algorithms cannot obtain satisfactory performance gain. In this paper, we propose a modified differential correlation algorithm to improve performance of the coarse frequency synchronization. Also, we introduce an effective PLL (Phase Locked Loop) structure to guarantee stable performance of the fine frequency synchronization. Simulation results verify that the proposed algorithm has superior performance to the conventional algorithms and the 2nd-order PLL is effective to track the fine frequency offset even in high mobility.

Isolation of an Rx homolog from C. annuum and the evolution of Rx genes in the Solanaceae family

  • Shi, Jinxia;Yeom, Seon-In;Kang, Won-Hee;Park, Min-Kyu;Choi, Do-Il;Kwon, Jin-Kyung;Han, Jung-Heon;Lee, Heung-Ryul;Kim, Byung-Dong;Kang, Byoung-Cheorl
    • Plant Biotechnology Reports
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    • v.5 no.4
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    • pp.331-344
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    • 2011
  • The well-conserved NBS domain of resistance (R) genes cloned from many plants allows the use of a PCR-based approach to isolate resistance gene analogs (RGAs). In this study, we isolated an RGA (CapRGC) from Capsicum annuum "CM334" using a PCR-based approach. This sequence encodes a protein with very high similarity to Rx genes, the Potato Virus X (PVX) R genes from potato. An evolutionary analysis of the CapRGC gene and its homologs retrieved by an extensive search of a Solanaceae database provided evidence that Rx-like genes (eight ESTs or genes that show very high similarity to Rx) appear to have diverged from R1 [an NBS-LRR R gene against late blight (Phytophthora infestans) from potato]-like genes. Structural comparison of the NBS domains of all the homologs in Solanaceae revealed that one novel motif, 14, is specific to the Rx-like genes, and also indicated that several other novel motifs are characteristic of the R1-like genes. Our results suggest that Rx-like genes are ancient but conserved. Furthermore, the novel conserved motifs can provide a basis for biochemical structural. function analysis and be used for degenerate primer design for the isolation of Rx-like sequences in other plant species. Comparative mapping study revealed that the position of CapRGC is syntenic to the locations of Rx and its homolog genes in the potato and tomato, but cosegregation analysis showed that CapRGC may not be the R gene against PVX in pepper. Our results confirm previous observations that the specificity of R genes is not conserved, while the structure and function of R genes are conserved. It appears that CapRGC may function as a resistance gene to another pathogen, such as the nematode to which the structure of CapRGC is most similar.

Identification and Chemical Control of Gray Snow Molds Caused by Typhula spp. on Golf Course in Korea (우리나라의 골프코스에서 Typhula spp.에 의해 발생하는 설부병의 동정 및 방제)

  • Kim, Jeong-Ho;Shim, Gyu-Yul;Lee, Hye-Min;Moon, Hyo-Sun;Kim, Young-Ho
    • Asian Journal of Turfgrass Science
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    • v.21 no.2
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    • pp.147-154
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    • 2007
  • In March of 2004, gray snow mold (Typhula blight) caused by Typhula spp. occurred on perennial ryegrass (Lolium perenne L.) and Kentucky bluegrass (Poo pratensis L.) at MuJu golf courses in Jeonbuk Province. Leaves in the affected areas were matted together and frequently covered with white to grayish mycelia. Sclerotia were formed on the leaf blade, leaf sheath, or crown regions. The fungus isolated from the diseased leaf formed whitish mycelium, clamp connections, and light pink to brown, irregular-shaped small sclerotia of less than 1.4 mm in diameter, which are characteristic to Typhula incarnata. Optimum temperature ranges for mycelial growth were $5^{\circ}C$ to $15^{\circ}C$. The causal organism was confirmed to be T. incarnata as the partial sequence of its ribosomal RNA ITS1 (internal transcribed spacer) region was 91% homologous to those of T. incarnata in GenBank database. Out of the 14 fungicides tested fur antifungal activity in vitro, 10 fungicides including iprodione, tebuconazole, polyoxin D, flutolanil, hexaconazole, tolclofos-methyl, fosetyl-Al, mepronil, pencycuron+tebuconazole, and fenarimol completely inhibited fungal growth at their recommended concentrations. In the field test, these fungicides and others such as thifluzamide and thiram effectively controlled the gray snow mold of turfgrass with some variable degrees of control efficacies.

Novel reassortant 2.3.4.4B H5N6 highly pathogenic avian influenza viruses circulating among wild, domestic birds in Xinjiang, Northwest China

  • Zhang, Qian;Mei, Xindi;Zhang, Cheng;Li, Juan;Chang, Nana;Aji, Dilihuma;Shi, Weifeng;Bi, Yuhai;Ma, Zhenghai
    • Journal of Veterinary Science
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    • v.22 no.4
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    • pp.43.1-43.10
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    • 2021
  • Background: The H5 avian influenza viruses (AIVs) of clade 2.3.4.4 circulate in wild and domestic birds worldwide. In 2017, nine strains of H5N6 AIVs were isolated from aquatic poultry in Xinjiang, Northwest China. Objectives: This study aimed to analyze the origin, reassortment, and mutations of the AIV isolates. Methods: AIVs were isolated from oropharyngeal and cloacal swabs of poultry. Identification was accomplished by inoculating isolates into embryonated chicken eggs and performing hemagglutination tests and reverse transcription polymerase chain reaction (RT-PCR). The viral genomes were amplified with RT-PCR and then sequenced. The sequence alignment, phylogenetic, and molecular characteristic analyses were performed by using bioinformatic software. Results: Nine isolates originated from the same ancestor. The viral HA gene belonged to clade 2.3.4.4B, while the NA gene had a close phylogenetic relationship with the 2.3.4.4C H5N6 highly pathogenic avian influenza viruses (HPAIVs) isolated from shoveler ducks in Ningxia in 2015. The NP gene was grouped into an independent subcluster within the 2.3.4.4B H5N8 AIVs, and the remaining six genes all had close phylogenetic relationships with the 2.3.4.4B H5N8 HPAIVs isolated from the wild birds in China, Egypt, Uganda, Cameroon, and India in 2016-2017, Multiple basic amino acid residues associated with HPAIVs were located adjacent to the cleavage site of the HA protein. The nine isolates comprised reassortant 2.3.4.4B HPAIVs originating from 2.3.4.4B H5N8 and 2.3.4.4C H5N6 viruses in wild birds. Conclusions: These results suggest that the Northern Tianshan Mountain wetlands in Xinjiang may have a key role in AIVs disseminating from Central China to the Eurasian continent and East African.

Prediction of itching diagnostic marker through RNA sequencing of contact hypersensitivity and skin scratching stimulation mice models

  • Kim, Young-Won;Zhou, Tong;Ko, Eun-A;Kim, Seongtae;Lee, Donghee;Seo, Yelim;Kwon, Nahee;Choi, Taeyeon;Lim, Heejung;Cho, Sungvin;Bae, Gwanhui;Hwang, Yuseong;Kim, Dojin;Park, Hyewon;Lee, Minjae;Jang, Eunkyung;Choi, Jeongyoon;Bae, Hyemi;Lim, Inja;Bang, Hyoweon;Ko, Jae-Hong
    • The Korean Journal of Physiology and Pharmacology
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    • v.23 no.2
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    • pp.151-159
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    • 2019
  • Pruritus (itching) is classically defined as an unpleasant cutaneous sensation that leads to scratching behavior. Although the scientific criteria of classification for pruritic diseases are not clear, it can be divided as acute or chronic by duration of symptoms. In this study, we investigated whether skin injury caused by chemical (contact hypersensitivity, CHS) or physical (skin-scratching stimulation, SSS) stimuli causes initial pruritus and analyzed gene expression profiles systemically to determine how changes in skin gene expression in the affected area are related to itching. In both CHS and SSS, we ranked the Gene Ontology Biological Process terms that are generally associated with changes. The factors associated with upregulation were keratinization, inflammatory response and neutrophil chemotaxis. The Kyoto Encyclopedia of Genes and Genomes pathway shows the difference of immune system, cell growth and death, signaling molecules and interactions, and signal transduction pathways. Il1a, Il1b and Il22 were upregulated in the CHS, and Tnf, Tnfrsf1b, Il1b, Il1r1 and Il6 were upregulated in the SSS. Trpc1 channel genes were observed in representative itching-related candidate genes. By comparing and analyzing RNA-sequencing data obtained from the skin tissue of each animal model in these characteristic stages, it is possible to find useful diagnostic markers for the treatment of itching, to diagnose itching causes and to apply customized treatment.

Development and Verification of Smart Greenhouse Internal Temperature Prediction Model Using Machine Learning Algorithm (기계학습 알고리즘을 이용한 스마트 온실 내부온도 예측 모델 개발 및 검증)

  • Oh, Kwang Cheol;Kim, Seok Jun;Park, Sun Yong;Lee, Chung Geon;Cho, La Hoon;Jeon, Young Kwang;Kim, Dae Hyun
    • Journal of Bio-Environment Control
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    • v.31 no.3
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    • pp.152-162
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    • 2022
  • This study developed simulation model for predicting the greenhouse interior environment using artificial intelligence machine learning techniques. Various methods have been studied to predict the internal environment of the greenhouse system. But the traditional simulation analysis method has a problem of low precision due to extraneous variables. In order to solve this problem, we developed a model for predicting the temperature inside the greenhouse using machine learning. Machine learning models are developed through data collection, characteristic analysis, and learning, and the accuracy of the model varies greatly depending on parameters and learning methods. Therefore, an optimal model derivation method according to data characteristics is required. As a result of the model development, the model accuracy increased as the parameters of the hidden unit increased. Optimal model was derived from the GRU algorithm and hidden unit 6 (r2 = 0.9848 and RMSE = 0.5857℃). Through this study, it was confirmed that it is possible to develop a predictive model for the temperature inside the greenhouse using data outside the greenhouse. In addition, it was confirmed that application and comparative analysis were necessary for various greenhouse data. It is necessary that research for development environmental control system by improving the developed model to the forecasting stage.

A Study on the Improvement for Bidet Product-Service Design for Seniors by PSS-based 4D Double Diamond Design Process Model (PSS 기반 4D 더블 다이아몬드 모델을 활용한 시니어를 위한 비데 제품-서비스디자인 개선방안 연구)

  • Seo, Hong-Seok
    • Science of Emotion and Sensibility
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    • v.25 no.1
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    • pp.29-40
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    • 2022
  • This study uses the bidet 4D double diamond design process model to propose an improvement for "senior-oriented bidet product service design" that reflects the characteristics and needs of seniors. This study was based on the product service system concept. To this end, qualitative research on seniors was conducted to derive user value factors, and, based on this, product service ideas were discovered, and a prototype reflecting the usefulness review of a working-level expert group was proposed. First, a "smart application service for user-customized function setting guide" was proposed. A bidet incorporating Internet of Things technology and a smart phone are linked to provide an app service that automatically interprets user characteristic information and information on bidet products to guide customized functions. Second, a control panel and remote control user interface to "user-oriented product service interface" was proposed. In consideration of the usability and cognitive ability of seniors, a simple and intuitive physical user interface such as a configuration centered on main functions, button arrangement according to task sequence, and a touch screen remote control was presented. Third, we proposed a "bidet care service linked with products and health/hygiene care" that provides a wide range of services such as user health and hygiene, cleanliness, entertainment, etc., in addition to regular bidet product service. This study proposed a product-based service design methodology that can improve user experience and relationship quality by discovering and improving the pain points and needs of users (seniors) in the process of using bidet products (before, during, and after use).

Context-Dependent Video Data Augmentation for Human Instance Segmentation (인물 개체 분할을 위한 맥락-의존적 비디오 데이터 보강)

  • HyunJin Chun;JongHun Lee;InCheol Kim
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.5
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    • pp.217-228
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    • 2023
  • Video instance segmentation is an intelligent visual task with high complexity because it not only requires object instance segmentation for each image frame constituting a video, but also requires accurate tracking of instances throughout the frame sequence of the video. In special, human instance segmentation in drama videos has an unique characteristic that requires accurate tracking of several main characters interacting in various places and times. Also, it is also characterized by a kind of the class imbalance problem because there is a significant difference between the frequency of main characters and that of supporting or auxiliary characters in drama videos. In this paper, we introduce a new human instance datatset called MHIS, which is built upon drama videos, Miseang, and then propose a novel video data augmentation method, CDVA, in order to overcome the data imbalance problem between character classes. Different from the previous video data augmentation methods, the proposed CDVA generates more realistic augmented videos by deciding the optimal location within the background clip for a target human instance to be inserted with taking rich spatio-temporal context embedded in videos into account. Therefore, the proposed augmentation method, CDVA, can improve the performance of a deep neural network model for video instance segmentation. Conducting both quantitative and qualitative experiments using the MHIS dataset, we prove the usefulness and effectiveness of the proposed video data augmentation method.