• Title/Summary/Keyword: Image Diagnosis

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Encryption-based Image Steganography Technique for Secure Medical Image Transmission During the COVID-19 Pandemic

  • Alkhliwi, Sultan
    • International Journal of Computer Science & Network Security
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    • v.21 no.3
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    • pp.83-93
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    • 2021
  • COVID-19 poses a major risk to global health, highlighting the importance of faster and proper diagnosis. To handle the rise in the number of patients and eliminate redundant tests, healthcare information exchange and medical data are transmitted between healthcare centres. Medical data sharing helps speed up patient treatment; consequently, exchanging healthcare data is the requirement of the present era. Since healthcare professionals share data through the internet, security remains a critical challenge, which needs to be addressed. During the COVID-19 pandemic, computed tomography (CT) and X-ray images play a vital part in the diagnosis process, constituting information that needs to be shared among hospitals. Encryption and image steganography techniques can be employed to achieve secure data transmission of COVID-19 images. This study presents a new encryption with the image steganography model for secure data transmission (EIS-SDT) for COVID-19 diagnosis. The EIS-SDT model uses a multilevel discrete wavelet transform for image decomposition and Manta Ray Foraging Optimization algorithm for optimal pixel selection. The EIS-SDT method uses a double logistic chaotic map (DLCM) is employed for secret image encryption. The application of the DLCM-based encryption procedure provides an additional level of security to the image steganography technique. An extensive simulation results analysis ensures the effective performance of the EIS-SDT model and the results are investigated under several evaluation parameters. The outcome indicates that the EIS-SDT model has outperformed the existing methods considerably.

Operating Condition Diagnosis of the Lubricated Machine Moving Surface by Image Analysis (화상해석에 의한 기계윤할 운동면의 작동상태 진단)

  • 박흥식
    • Journal of Advanced Marine Engineering and Technology
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    • v.23 no.1
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    • pp.79-87
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    • 1999
  • The most part of the faculty drop a trouble and damage of machine equipment even if whatever cause they break out take place at local and trifling place and the factor dominating their trouble is due to wear debris occurred in the lubricated machine moving surface. This study has been car-ried out to identify morphology of wear debris on the lubricated machine moving system by means of computer image analysis. Namely the wear debris contained in lubricating oil extracted from movable machine equipment will be filtered through membrane filter(void diameter 0.45${\mu}m$) and will be analyzed with its data information such as 50% volume diameter aspect roundness and reflectivity. Morphological characteristic of wear debris is easily distinguished by four shape parameters it is necessary to divide small class of every 100 wear debris in total wear particles in order to distinguish morphological characteristic of wear debris more easily by computer image analysis. We are sure that operation condition diagnosis of the lubricated machine moving surfaces is possible by computer image analysis.

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Improved Snakes Algorithm for Tongue Image Segmentation in Oriental Tongue Diagnosis (한방 설진에서 혀 영상 분할을 위한 개선된 스네이크 알고리즘)

  • Jang, Myeong-Soo;Lee, Woo-Beom
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.4
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    • pp.125-131
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    • 2016
  • Tongue image segmentation is critical for automation of the tongue diagnosis system. However, most image segmentation methods for tongue diagnosis systems in oriental medicine have been proposed as user-based manual types or semi-automatic types. This study proposed a new method for tongue image segmentation, which is the most important image processing stage for complete automation of the tongue diagnosis system in oriental medicine. The proposed method improved the conventional snake algorithm, by making improvement on the internal energy function so that, as the points move outward reversely, the snake energy function is minimized, by using the image characteristics of tongue images. To calculate external energy, hierarchical spatial filtering is applied to ensure resistance against noise. Also, The proposed method was tested by using sample images and actual images, and showed more robustness against the background noise than the conventional snake algorithm. And, when one selected point was moved by the improved snake algorithm, energy values at the starting, middle, and end points were analyzed, and showed robustness that does not fall in the local minima.

Management of oral and maxillofacial radiological images (Dr. Image를 이용한 구강악안면방사선과 의료영상 관리)

  • Kim Eun-Kyung
    • Imaging Science in Dentistry
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    • v.32 no.3
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    • pp.129-134
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    • 2002
  • Purpose : To implement the database system of oral and maxillofacial radiological images using a commercial medical image management software with personally developed classification code. Materials and methods : The image database was built using a slightly modified commercial medical image management software, Dr. Image v.2.1 (Bit Computer Co., Korea). The function of wild card '*' was added to the search function of this program. Diagnosis classification codes were written as the number at the first three digits, and radiographic technique classification codes as the alphabet right after the diagnosis code. 449 radiological films of 218 cases from January, 2000 to December, 2000, which had been specially stored for the demonstration and education at Dept. of OMF Radiology of Dankook University Dental Hospital, were scanned with each patient information. Results: Cases could be efficiently accessed and analyzed by using the classification code. Search and statistics results were easily obtained according to sex, age, disease diagnosis and radiographic technique. Conclusion : Efficient image management was possible with this image database system. Application of this system to other departments or personal image management can be made possible by utilizing the appropriate classification code system.

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Recent Advances in Medical Image Processing and Diagnosis Technology for Capsule Endoscope Systems (캡슐 내시경 시스템의 최신 의료 영상처리 및 진단 기술)

  • Kim, Ki-Yun;Kim, Tae-Kwon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.9
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    • pp.802-812
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    • 2013
  • Recently, Capsule Endoscope(CE) system is receiving great attention as a innovative convergence technology that allows doctors to examine the digestive tract of a human body in the minimum invasive way. Once patients swallow the vitamin pill-sized capsule, doctors can detect disease such as blood-based abnormalities, polyps, ulcers, and Crohn's disease through the image information delivered by wireless or human body communication module in CE. Although CE is really a innovative technology, it still suffers from some drawbacks in terms of correct diagnosis of lesion and analysis required time. Due to the massive images approximately 60~120 thousand frames taken by miniature camera in the CE, doctors spend too much time examining the images and analyzing the lesions. Therefore, to lighten the burden of doctors, software tools for fast diagnosis and medical image processing techniques for correct diagnosis of lesion are essential in CE system. In this paper, we investigate the latest trends of diagnosis tools and image processing techniques based on major makers of CE systems, which are hardly known to the general public.

Neural Network Recognition of Scanning Electron Microscope Image for Plasma Diagnosis (플라즈마 진단을 위한 Scanning Electron Microscope Image의 신경망 인식 모델)

  • Ko, Woo-Ram;Kim, Byung-Whan
    • Proceedings of the KIEE Conference
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    • 2006.04a
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    • pp.132-134
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    • 2006
  • To improve equipment throughput and device yield, a malfunction in plasma equipment should be accurately diagnosed. A recognition model for plasma diagnosis was constructed by applying neural network to scanning electron microscope (SEM) image of plasma-etched patterns. The experimental data were collected from a plasma etching of tungsten thin films. Faults in plasma were generated by simulating a variation in process parameters. Feature vectors were obtained by applying direct and wavelet techniques to SEM Images. The wavelet techniques generated three feature vectors composed of detailed components. The diagnosis models constructed were evaluated in terms of the recognition accuracy. The direct technique yielded much smaller recognition accuracy with respect to the wavelet technique. The improvement was about 82%. This demonstrates that the direct method is more effective in constructing a neural network model of SEM profile information.

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Automated Diabetic Retinopathy Diagnosis using Bit-Plane (비트 플레인을 이용한 자동 당뇨망막병증 진단)

  • Jeon, Yeong Mi;Jeong, Seok Chan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.124-126
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    • 2021
  • In this study, fundus images were analyzed using an image processing algorithm for diagnosis of diabetic retinopathy, and specific areas such as hard exudate and retinal hemorrhage, which are characteristic of diabetic retinopathy disease using the bit plane technique, were extracted. We propose a system capable of automatic diagnosis by quantifying the characteristics of diabetic retinopathy based on the analyzed fundus image.

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Influence of CBCT parameters on image quality and the diagnosis of vertical root fractures in teeth with metallic posts: an ex vivo study

  • Larissa Pereira Lagos de Melo;Polyane Mazucatto Queiroz;Larissa Moreira-Souza;Mariana Rocha Nadaes;Gustavo Machado Santaella;Matheus Lima Oliveira;Deborah Queiroz Freitas
    • Restorative Dentistry and Endodontics
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    • v.48 no.2
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    • pp.16.1-16.11
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    • 2023
  • Objectives: The aim of this study was to evaluate the influence of peak kilovoltage (kVp) and a metal artifact reduction (MAR) tool on image quality and the diagnosis of vertical root fracture (VRF) in cone-beam computed tomography (CBCT). Materials and Methods: Twenty single-rooted human teeth filled with an intracanal metal post were divided into 2 groups: control (n = 10) and VRF (n = 10). Each tooth was placed into the socket of a dry mandible, and CBCT scans were acquired using a Picasso Trio varying the kVp (70, 80, 90, or 99), and the use of MAR (with or without). The examinations were assessed by 5 examiners for the diagnosis of VRF using a 5-point scale. A subjective evaluation of the expression of artifacts was done by comparing random axial images of the studied protocols. The results of the diagnoses were analyzed using 2-way analysis of variance and the Tukey post hoc test, the subjective evaluations were compared using the Friedman test, and intra-examiner reproducibility was evaluated using the weighted kappa test (α = 5%). Results: The kVp and MAR did not influence the diagnosis of VRF (p > 0.05). According to the subjective classification, the 99 kVp protocol with MAR demonstrated the least expression of artifacts, while the 70 kVp protocol without MAR led to the most artifacts. Conclusions: Protocols with higher kVp combined with MAR improved the image quality of CBCT examinations. However, those factors did not lead to an improvement in the diagnosis of VRF.

Study on Medical Dicom based XRay Image improvement program using image processing (이미지 프로세싱을 이용한 의료용 Dicom기반의 XRay 영상 개선 프로그램 개발에 관한 연구)

  • Lee, So-Haeng
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.1153-1156
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    • 2005
  • PACS system developments for improve of diagnosis efficiency for hospital duty efficiency and patients through various medical image diagnosis device. PACS system studies for nonfilm hospital, but still, image filtering technology Present high accuracy take a photograph image be not enough. On study image processing part is very importance. The fittest of image processing in order to using simple and essential filter try to improvrnent. The future, diagnosis of patients decide accuracy, low cost based Digital XRay system will be using.

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Analysis of On-line Personal Image Consulting Program Contents (온라인 퍼스널 이미지 컨설팅 프로그램의 컨텐츠 현황 분석)

  • Kim, Ri-Ra;Chung, Su-In;Kim, Yoo-Jung;Kim, Young-In
    • Journal of the Korean Society of Costume
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    • v.62 no.4
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    • pp.58-68
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    • 2012
  • Personal image concerns a person's talent, expertise, as well as the internal and external image. It is a core value that differentiates one individual from another. As personal branding via personal image management has become more important, there is a fast-growing number of online systems that provide self-test programs to analyze one's style and habits and also provide expert advice for not only styles but lifestyles as well. This study develops a systematic and objective personal image consulting system and offers basic information for the research of personal image making. For that purpose, the study attempts to examine the present state of global companies that use online image consulting programs and analyze their digital content. The results are as follows: 1) two domestic companies, Colorz and Atzine, and seven foreign companies, notably Covet and Boutique, were brisk in business; 2) two types of personal image-diagnosis programs - Visual search and Virtual matching - are now in operation; and 3) mobile applications exist as an evolved personal image-diagnosis program. With an increased interest in such programs, various companies at home and abroad are establishing systematic and scientific analysis systems, which are needed for personal image-making online. Under these circumstances, domestic companies are also urged to enhance levels of image-diagnosis content and actual commercialization and utilization, to develop programs that enable objectified, systematic personal image-making. To this end, the results of this study may serve as a helpful tool to consider future directions.