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An Image-guided Radiosurgery for the Treatment of Metastatic Bone Tumors using the CyberKnife Robotic System

  • Cho, Chul-Koo
    • The Journal of the Korean bone and joint tumor society
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    • v.13 no.1
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    • pp.14-21
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    • 2007
  • Bone is a common site for metastatic spread from many kinds of malignancies. The morbidity associated with this metastatic spread can be significant, including severe pain. When it comes to spinal metastasis, occupying nearly 40% of skeletal metastases, the risks of complications, such as vertebral body collapse, nerve root impingement, or spinal cord compression, are also significant. Because of the necessity of preserving the integrity of the spinal column and the proximity of critical structures, surgical treatment has limitations when durable local control is desired. Radiotherapy, therefore, is often used as an adjunct treatment or as a sole treatment. A considerable limitation of standard radiotherapy is the reported recurrence rate or ineffective palliation of pain, either clinically or symptomatically. This may be due to limited radiation doses to tumor itself because of the proximity of critical structures. CyberKnife is an image-guided robotic radiosurgical system. The image guidance system includes a kilovoltage X-ray imaging source and amorphous silica detectors. The radiation delivery device is a mobile X-band linear accelerator (6 MV) mounted on a robotic arm. Highly conformal fields and hypofractionated radiotherapy schedules are increasingly being used as a means to achieve biologic dose escalation for body tumors. Therefore, we can give much higher doses to the targeted tumor volume with minimizing doses to the surrounding critical structures, resulting in more effective local control and less severe side effects, compared to conventional fractionated radiotherapy. A description of this technology and a review of clinical applications to bone metastases are detailed herein.

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A Qualitative Research on Pursuing Image and Appearance Management Behavior of Brides (신부의 추구이미지와 외모관리행동에 관한 질적연구)

  • Bae, Eun-Joo;Yoo, Tai-Soon
    • Fashion & Textile Research Journal
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    • v.11 no.5
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    • pp.799-807
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    • 2009
  • The purpose of this study was to examined which the pursuing image, make-up and hair style desire on their wedding day and how the future brides managed their appearance for the wedding. This qualitative research was based on the data collected by in-depth interviews with 15 brides in their 20s, 30s and 40s who reside in Daegu and Gyeongbuk. The results of the study are shown follow: The images that the brides most pursued for the wedding day were elegant images and refine images. The favorite wedding-dress styles of brides were elegant, refine, lovely, classical, and natural style in order of preference. The design of the dress was top priority when selecting the wedding-dress and it was followed by the function that complements anyones' shape. The brides liked natural style wedding make-up most and refine and young one followed. They considered eye make-up most important after skin expression, that is, covering defects of their skin. Concerning wedding hair styles, an up-style which is typical for wedding is desired most and a natural flowing hair style second. Regarding fitness, they mainly took physical exercise and went on a diet which is not unreasonably harsh.

Vision Based Position Control of a Robot Manipulator Using an Elitist Genetic Algorithm (엘리트 유전 알고리즘을 이용한 비젼 기반 로봇의 위치 제어)

  • Park, Kwang-Ho;Kim, Dong-Joon;Kee, Seok-Ho;Kee, Chang-Doo
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.1
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    • pp.119-126
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    • 2002
  • In this paper, we present a new approach based on an elitist genetic algorithm for the task of aligning the position of a robot gripper using CCD cameras. The vision-based control scheme for the task of aligning the gripper with the desired position is implemented by image information. The relationship between the camera space location and the robot joint coordinates is estimated using a camera-space parameter modal that generalizes known manipulator kinematics to accommodate unknown relative camera position and orientation. To find the joint angles of a robot manipulator for reaching the target position in the image space, we apply an elitist genetic algorithm instead of a nonlinear least square error method. Since GA employs parallel search, it has good performance in solving optimization problems. In order to improve convergence speed, the real coding method and geometry constraint conditions are used. Experiments are carried out to exhibit the effectiveness of vision-based control using an elitist genetic algorithm with a real coding method.

Image Annotation System for Mobile Augmented Reality Environment (모바일 환경의 증강현실 영상 주석 시스템)

  • Lee, Jae-Young;Kwon, Jun-Sik
    • Journal of Digital Contents Society
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    • v.16 no.3
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    • pp.437-444
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    • 2015
  • In this paper, we propose an information service system using augmented reality technology on mobile devices. With the advancement in ICT technology the computer is smaller and easy to carry and developed into the tablet PC and the smartphone typically. The user can confirm and learn the desired data using the augmented reality technology, regardless of the environment. Padding the supplementary images or videos to the real image using the camera, we can have help from such additionally obtained images. In this paper, using an augmented reality technology on a tablet PC or smartphone environment, we implement a system for providing information to the user. This system can be utilized in all areas such as learning, entertainment, public relations and advertisement, etc.

Contrast Image Enhancement Using Multi-Histogram Equalization

  • Phanthuna, Nattapong;cheevasuwit, Fusak
    • International Journal of Advanced Culture Technology
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    • v.3 no.2
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    • pp.161-170
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    • 2015
  • Mean separated histogram equalization in order to preserve the original mean brightness has been proposed. To provide the minimum mean brightness error after the histogram modification, the input image's histogram is successively divided by the factor of 2 until the mean brightness error is satisfied the defined threshold. Then each divided group or sub-histogram will be independently equalized based on the proportional input mean. To provide the overall minimum mean brightness error, each group will be controlled by adding some certain pixels from the adjacent grey level of the next group for giving its mean near by the corresponding the divided mean. However, it still exists some little error which will be put into the next adjacent group. By successive dividing the original histogram, we found that the absolute mean brightness error is gradually decreased when the number of group is increased. Therefore, the error threshold is assigned in order to automatically dividing the original histogram for obtaining the desired absolute mean brightness error (AMBE). This process will be applied to the color image by treating each color independently.

Still Image Watermarking in the DCT Domain Using the Human Visual System (DCT 영역에서의 인간의 시각적 특성을 이용한 정지 영상 워터마킹 방법)

  • Kwon O-Hyung;Park Rae-Hong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.12C
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    • pp.1214-1221
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    • 2005
  • In this paper, we propose a digital watermarking method for still images, in which the human visual system (HVS) is used in the discrete cosine transform (DCT) domain. The modulation transfer function (MTF) of the HVS model is employed to increase the invisibility of the inserted watermark in images. The proposed watermarking method is shown to be robust to several common image processing techniques, including lowpass filtering and cropping. Also, using the energy relationship of the DCT, we derive the equation that directly computes the watermark weighting factor in the DCT domain for the specified peak signal to noise ratio (PSNR) of the still image and the length of watermark to be inserted. The difference between desired PSNR and PSNR in spatial domain is within 0.07dB for the 7 test images.

Development of Traditional Baeja Design Applied Jogakbo and Knot (조각보와 매듭을 활용한 전통 배자 디자인 개발)

  • Yang, Suk-Hyang
    • Journal of the Korea Fashion and Costume Design Association
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    • v.16 no.4
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    • pp.189-203
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    • 2014
  • In this study, Creative motifs using face composition of Jogakbo and Knot Symbol were developed, and applied to traditional Baeja of Joseon Dynasty to develop design contents of traditional clothes. As for study method, 7 motifs of new formative image that integrates traditional beauty and contemporary sense were developed by applying Knot Symbols and face compositions of Jogakbo with the use of Adobe Illustrator CS6 and Adobe Photoshop CS6 vector graphic software. The motifs were designed in contemporary image in face compositions like rectangle pattern, triangle pattern, dual rectangle pattern, vertical and horizontal pattern, pinwheel pattern, gojunmun pattern and free pattern by involving various changes like repetition, rotation, reduction, expansion and decomposition and using the colors used in the Jogakbo. It is desired that through this study, traditional Baeja may develop to bear traditional and contemporary image so that our traditional clothes design may become global. Also it is anticipated that this study will contribute to development of culture products of Hanbok like Jeogori, pants and skirt that require change of design in the global era while maintaining traditional beauty to appeal to the emotions of world citizens.

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A Method for Improving Resolution and Critical Dimension Measurement of an Organic Layer Using Deep Learning Superresolution

  • Kim, Sangyun;Pahk, Heui Jae
    • Current Optics and Photonics
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    • v.2 no.2
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    • pp.153-164
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    • 2018
  • In semiconductor manufacturing, critical dimensions indicate the features of patterns formed by the semiconductor process. The purpose of measuring critical dimensions is to confirm whether patterns are made as intended. The deposition process for an organic light emitting diode (OLED) forms a luminous organic layer on the thin-film transistor electrode. The position of this organic layer greatly affects the luminescent performance of an OLED. Thus, a system for measuring the position of the organic layer from outside of the vacuum chamber in real-time is desired for monitoring the deposition process. Typically, imaging from large stand-off distances results in low spatial resolution because of diffraction blur, and it is difficult to attain an adequate industrial-level measurement. The proposed method offers a new superresolution single-image using a conversion formula between two different optical systems obtained by a deep learning technique. This formula converts an image measured at long distance and with low-resolution optics into one image as if it were measured with high-resolution optics. The performance of this method is evaluated with various samples in terms of spatial resolution and measurement performance.

Robust Similarity Retrieval for Radial Distortion of Object Shape Based on the Normalized Phase Angles and Moment

  • An, Young Eun;Kim, Tae Yeun
    • Journal of Integrative Natural Science
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    • v.12 no.2
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    • pp.35-43
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    • 2019
  • In the content-based image search properties, form information is simple because only the contours of objects are available, and although it can effectively extract the characteristics of the objects, it is sensitive to external noise. The radial distortion, one of these noises, is most prominent in the eyewear and, due to the structural characteristics of the imaging equipment, radiative distortion occurs in almost all imaging equipment. It is very important to determine the similarity of the objects in the images in which these distortions occurred to the actual objects. In order to improve this problem, we propose a strong image search technique for formative noise and radiative distortion using regularization phase angles and moments. Through simulation using Wang DB, the proposed algorithm proved excellent performance for radiation distortion that occurs in general. In addition, a system optimized for database can be implemented by making appropriate changes to the threshold values, enabling image retrieval with the desired level of confidence in various systems. The algorithm proposed in this paper is expected to be utilized as an optimal imaging system by extracting morphological form information of multimedia data.

In Search of Demanded Green Marketing Practices to Encourage Customer's Eco-friendly Purchasing Intention

  • KANG, Eungoo;HWANG, Hee-Joong
    • East Asian Journal of Business Economics (EAJBE)
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    • v.10 no.3
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    • pp.93-104
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    • 2022
  • Purpose - The green marketing practice improves consumers' environmental knowledge, consequently bolstering their environmental purchase intention. It also improves consumers' green brand knowledge, positively influences their attitude toward green brands. This research examines the role of green brand image between green marketing practice and consumers' green purchasing intention Research design, Data, and methodology - This research has conducted the 'Qualitative Content Analysis' in the current literature dataset. It is crucial to create the procedures and processes that is used to acquire the data needed to structure or solve problems. Finally, total 35 prior studies included for the analysis. Result - Based on prior studies, the current authors figured out that the green brand image plays an essential role in promoting companies' efforts in green marketing practices and green purchase intentions through its mediating ability by fostering trust, green perceived value, green brand loyalty, and social responsibility as a significant determiner of green practices Conclusion - This research concludes that green brand positioning helps companies secure a special place in a consumers' mind by facilitating the design of the desired green brand awareness image and strengthening consumers' desire to purchase a specific green product/service. Green brand positioning centers on the way marketing communications of green brand features green brand knowledge.