• 제목/요약/키워드: Medical Image Visualization

검색결과 111건 처리시간 0.059초

첨단 유동가시화 기술을 이용한 수치해석 검증용 실험 (EXPERIMENTS FOR VALIDATING NUMERICAL ANALYSIS USING ADVANCED FLOW VISUALIZATION TECHNOLOGIES)

  • 이상준
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2008년도 학술대회
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    • pp.14-17
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    • 2008
  • Recently, several advanced flow visualization techniques such as Particle Image Velocimetry (PIV) including stereo PIV, holographic PIV, and dynamic PIV have been developed. These advanced techniques have strong potential as the experimental technology which can be used for verifying numerical simulation. In addition, there would be indispensable in solving complicated thermo-fluid flow problems not only in the industrial fields such as automotive, space, electronics, aero- and hydro-dynamics, steel, and information engineering, but also in the basic research fields of medical science, bio-medical engineering, environmental and energy engineering etc. Especially, NT Nano Technology) and BT (Bio Technology) strongly demand these advanced measurement techniques, because it is difficult for conventional methods to observe most complicated nano- and bio-fluidic phenomena. In this paper, the basic principle of these advanced visualization techniques and their practical applications which cannot be resolved by conventional methods, such as flow in automotive HVAC system, ship and propeller wake, three-dimensional flow measurement in micro-conduits, and flow around a circulating cylinder will be introduced.

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첨단 유동가시화 기술을 이용한 수치해석 검증용 실험 (EXPERIMENTS FOR VALIDATING NUMERICAL ANALYSIS USING ADVANCED FLOW VISUALIZATION TECHNOLOGIES)

  • 이상준
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2008년 추계학술대회논문집
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    • pp.14-17
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    • 2008
  • Recently, several advanced flow visualization techniques such as Particle Image Velocimetry (PIV) including stereo PIV, holographic PIV, and dynamic PIV have been developed. These advanced techniques have strong potential as the experimental technology which can be used for verifying numerical simulation. In addition, there would be indispensable in solving complicated thermo-fluid flow problems not only in the industrial fields such as automotive, space, electronics, aero- and hydro-dynamics, steel, and information engineering, but also in the basic research fields of medical science, bio-medical engineering, environmental and energy engineering etc. Especially, NT (Nano Technology) and BT (Bio Technology) strongly demand these advanced measurement techniques, because it is difficult for conventional methods to observe most complicated nano- and bio-fluidic phenomena. In this paper, the basic principle of these advanced visualization techniques and their practical applications which cannot be resolved by conventional methods, such as flow in automotive HVAC system, ship and propeller wake, three-dimensional flow measurement in micro-conduits, and flow around a circulating cylinder will be introduced.

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사용자 선호에 기반한 효율적 최대 휘소 가시화 알고리즘의 선택 방법 (Algorithm Selection Method for Efficient Maximum Intensity Projection Based on User Preference)

  • 한철희;계희원
    • 한국멀티미디어학회논문지
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    • 제21권2호
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    • pp.87-97
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    • 2018
  • Maximum intensity projection (MIP) is a common visualization technique in medical imaging system. A typical method to improve the performance of MIP is empty space leaping, which skips unnecessary area. This research proposes a new method to improve the existing empty space leaping. In order to skip more regions, we introduce a variety of acceleration strategies that use some tolerance given by the user to take part in image quality loss. Each proposed method shows various image quality and speed, and this study compares them to select the best one. Experimental results show that it is most efficient to add a constant tolerance function when the image quality required by the user is low. Conversely, when the user required image quality is high, a function with a low tolerance of volume center is most effective. Applying the proposed method to general MIP visualization can generate a relatively high quality image in a short time.

Brain Hologram Visualization for Diagnosis of Tumors using Graphic Imaging

  • Nam, Jenie;Kim, Young Jae;Lee, Seung Hyun;Kim, Kwang Gi
    • Journal of Multimedia Information System
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    • 제3권3호
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    • pp.47-52
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    • 2016
  • This research paper examines the usage of graphic imaging in Holographic Projections to further advance the medical field. It highlights the importance and necessity of this technology as well as avant-garde techniques applied in the process of displaying images in digital holography. This paper also discusses the different types of applications for holograms in society today. Different tools were utilized to transfer a set of a cancer patient's brain tumor data into data used to produce a 3D holographic image. This image was produced through the transfer of data from one program to another. Through the use of semi-automatic segmentation through the seed region method, we were able to create a 3D visualization from Computed Tomography (CT) data.

3D Rendering of Magnetic Resonance Images using Visualization Toolkit and Microsoft.NET Framework

  • Madusanka, Nuwan;Zaben, Naim Al;Shidaifat, Alaaddin Al;Choi, Heung-Kook
    • Journal of Multimedia Information System
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    • 제2권2호
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    • pp.207-214
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    • 2015
  • In this paper, we proposed new software for 3D rendering of MR images in the medical domain using C# wrapper of Visualization Toolkit (VTK) and Microsoft .NET framework. Our objective in developing this software was to provide medical image segmentation, 3D rendering and visualization of hippocampus for diagnosis of Alzheimer disease patients using DICOM Images. Such three dimensional visualization can play an important role in the diagnosis of Alzheimer disease. Segmented images can be used to reconstruct the 3D volume of the hippocampus, and it can be used for the feature extraction, measure the surface area and volume of hippocampus to assist the diagnosis process. This software has been designed with interactive user interfaces and graphic kernels based on Microsoft.NET framework to get benefited from C# programming techniques, in particular to design pattern and rapid application development nature, a preliminary interactive window is functioning by invoking C#, and the kernel of VTK is simultaneously embedded in to the window, where the graphics resources are then allocated. Representation of visualization is through an interactive window so that the data could be rendered according to user's preference.

Dark-Blood Computed Tomography Angiography Combined With Deep Learning Reconstruction for Cervical Artery Wall Imaging in Takayasu Arteritis

  • Tong Su;Zhe Zhang;Yu Chen;Yun Wang;Yumei Li;Min Xu;Jian Wang;Jing Li;Xinping Tian;Zhengyu Jin
    • Korean Journal of Radiology
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    • 제25권4호
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    • pp.384-394
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    • 2024
  • Objective: To evaluate the image quality of novel dark-blood computed tomography angiography (CTA) imaging combined with deep learning reconstruction (DLR) compared to delayed-phase CTA images with hybrid iterative reconstruction (HIR), to visualize the cervical artery wall in patients with Takayasu arteritis (TAK). Materials and Methods: This prospective study continuously recruited 53 patients with TAK (mean age: 33.8 ± 10.2 years; 49 females) between January and July 2022 who underwent head-neck CTA scans. The arterial- and delayed-phase images were reconstructed using HIR and DLR. Subtracted images of the arterial-phase from the delayed-phase were then added to the original delayed-phase using a denoising filter to generate the final-dark-blood images. Qualitative image quality scores and quantitative parameters were obtained and compared among the three groups of images: Delayed-HIR, Dark-blood-HIR, and Dark-blood-DLR. Results: Compared to Delayed-HIR, Dark-blood-HIR images demonstrated higher qualitative scores in terms of vascular wall visualization and diagnostic confidence index (all P < 0.001). These qualitative scores further improved after applying DLR (Dark-blood-DLR compared to Dark-blood-HIR, all P < 0.001). Dark-blood DLR also showed higher scores for overall image noise than Dark-blood-HIR (P < 0.001). In the quantitative analysis, the contrast-to-noise ratio (CNR) values between the vessel wall and lumen for the bilateral common carotid arteries and brachiocephalic trunk were significantly higher on Dark-blood-HIR images than on Delayed-HIR images (all P < 0.05). The CNR values were significantly higher for Dark-blood-DLR than for Dark-blood-HIR in all cervical arteries (all P < 0.001). Conclusion: Compared with Delayed-HIR CTA, the dark-blood method combined with DLR improved CTA image quality and enhanced visualization of the cervical artery wall in patients with TAK.

치과용 CT영상의 3차원 Visualization을 위한 Segmentation에 관한 연구 (A Study of Segmentation for 3D Visualization In Dental Computed Tomography image)

  • 민상기;채옥삼
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 추계종합학술대회 논문집(3)
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    • pp.177-180
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    • 2000
  • CT images are sequential images that provide medical doctors helpful information for treatment and surgical operation. It is also widely used for the 3D reconstruction of human bone and organs. In the 3D reconstruction, the quality of the reconstructed 3D model heavily depends on the segmentation results. In this paper, we propose an algorithm suitable for the segmentation of teeth and the maxilofacial bone.

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Registration of 3D CT Data to 2D Endoscopic Image using a Gradient Mutual Information based Viewpoint Matching for Image-Guided Medialization Laryngoplasty

  • Yim, Yeny;Wakid, Mike;Kirmizibayrak, Can;Bielamowicz, Steven;Hahn, James
    • Journal of Computing Science and Engineering
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    • 제4권4호
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    • pp.368-387
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    • 2010
  • We propose a novel method for the registration of 3D CT scans to 2D endoscopic images during the image-guided medialization laryngoplasty. This study aims to allow the surgeon to find the precise configuration of the implant and place it into the desired location by employing accurate registration methods of the 3D CT data to intra-operative patient and interactive visualization tools for the registered images. In this study, the proposed registration methods enable the surgeon to compare the outcome of the procedure to the pre-planned shape by matching the vocal folds in the CT rendered images to the endoscopic images. The 3D image fusion provides an interactive and intuitive guidance for surgeon by visualizing a combined and correlated relationship of the multiple imaging modalities. The 3D Magic Lens helps to effectively visualize laryngeal anatomical structures by applying different transparencies and transfer functions to the region of interest. The preliminary results of the study demonstrated that the proposed method can be readily extended for image-guided surgery of real patients.

조영증강 초음파진단을 위한 동적 파라미터 가시화기법 및 노이즈 개선기법 (Dynamic Parameter Visualization and Noise Suppression Techniques for Contrast-Enhanced Ultrasonography)

  • 김호준
    • 정보과학회 논문지
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    • 제42권7호
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    • pp.910-918
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    • 2015
  • 본 논문에서는 조영증강 초음파영상의 분석과정에서 육안판별의 한계를 극복하기 위한 파라미터 가시화기법을 소개하고, 이 과정에서 영상의 왜곡과 노이즈를 보정하기 위한 방법론을 제시한다. 초음파영상에서 조영제의 전이형태에 대한 동적패턴은 간질환 진단에서 의미있는 파라미터가 되는데, 전이시간 정보와 조영증강 패턴을 정적인 단일영상으로 표현함으로써 급속도로 진행되는 동영상에서 정확한 정보를 효과적으로 판별할 수 있게 한다. 진단파라미터 데이터의 신뢰도를 저하시키는 요인으로 호흡에 의한 흔들림현상과 마이크로 버블에 의한 노이즈를 들 수 있다. 이에 대한 대안으로 영상의 움직임추적을 위한 다단계 알고리즘과 마르코프 랜덤 필드 모델에 기반한 영상개선기법을 제안한다. 실제 임상데이터를 사용한 실험결과를 통하여, 제안된 방법의 유용성을 실험적으로 고찰한다.

조건부 엔트로피와 3차원 볼륨 렌더링기법을 이용한 의료영상의 정합과 가시화 (Registration and Visualization of Medical Image Using Conditional Entropy and 3D Volume Rendering)

  • 김선월;조완현
    • Communications for Statistical Applications and Methods
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    • 제16권2호
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    • pp.277-286
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    • 2009
  • 영상정합은 동일한 장면에 대해서 서로 다른 시간 혹은 특성의 센서로부터 서로 다른 위치 에서 얻는 영상들의 공간적 대응관계를 찾는 과정이다. 본 논문에서는 동일 환자에게 촬영한 뇌 MR과 CT영상간의 상이한 공간좌표계의 차이를 보정하기 위 한 강인한 정합방법을 소개한다. 두 영상의 명암도에 대한 결합 히스토그램으로부터 계산된 개선된 조건부 엔트로피(MCE: Modified Conditional Entropy)를 이용하여 최대인 위치로 정합을 수행하고, 3차원 볼륨 렌더링 기법을 이용하여 정합된 영상을 가시화한다.