• 제목/요약/키워드: 24bit color coding

검색결과 3건 처리시간 0.019초

Software Development for the Visualization of the Orientation of Brain Fiber Tracts in Diffusion Tensor Imaging Using a 24 bit Color Coding

  • Jung-Su Oh;In Chan Song;Ik-Hwan Cho;Jong-Hyo Kim;Kee Hyun Chang;Kwang-Suk Park
    • 대한의용생체공학회:의공학회지
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    • 제25권1호
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    • pp.43-47
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    • 2004
  • 뇌의 기능성과 분산 영역간의 연결성에 대한 관심이 매우 증대되고 있는 추세다. 그 중에서 DTI (확산 텐서 영상)는 비침습적으로 뇌에서의 물분자의 확산과 뇌의 회백질 신경 다발 구조에 대한 정보를 제공할 수 있는 자기공명영상 기법이다. 따라서 우리는 이 기법을 통해 다른 해부학적 혹은 기능적 자기공명영상 기법으로는 얼을 수 없는 뇌의 신경 섬유 다발과 대뇌 피질 영역의 연결성 정보를 얻을 수 있다. 본 연구에서는 컬러 코딩 방식에 의하여 뇌의 주된 신경 다발의 방향성을 가시화 하고자 한다. 인간 뇌의 방향성 지도는 연합섬유, 방사섬유. 교련섬유. 운동 및 감각회로 섬유의 다발들을 구별하기 쉽게 하여준다. 우리는 이 목적 하에 24비트 칼라코딩 방법을 윈도우 PC 환경에서 IDL을 이용하여 구현하였다. 덧붙여 방향성의 각각의 성분 및 이방성에 대한 컬러 코딩과 이들을 표현하기 위한 다양한 색상표를 구현하였다. 결론적으로 우리의 24 비트 킬러 코딩을 이용한 뇌 회백질의 신경 다발의 방향성 가시화에 성공하였다. 우리가 구현한 방법에 의해 뇌의 주요 신경 다발들이 잘 가시화됨을 확인하였다.

An Image Segmentation Technique For Very Low Bit Rate Video Coding

  • Jung, Seok-Yoon;Kim, Rin-Chul;Lee, Sang-Uk
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 1997년도 Proceedings International Workshop on New Video Media Technology
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    • pp.19-24
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    • 1997
  • This paper describes an image segmentation technique for the object-oriented coding at very low bit rates. By noting that, in the object-oriented coding technique, each objects are represented by 3 parameters, namely, shape, motion, and color informations, we propose a segmentation technique, in which the 3 parameters are fully exploited. To achieve this goal, starting with the color space conversion and the noise reduction, the input image is divided into many small regions by the K-menas algorithm on the O-K-S color space. Then, each regions are merged, according to the shape and motion information. In simultations, it is shown that the proposed technique segments the input image into relevant objects, according to the shape and motion as well as the colors. In addition, in order to evaluate the performance of the proposed technique, we introduce the notion of the interesting regions, and provide the results of encoding the image with emphasizing the interesting regions.

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Software development for the visualization of brain fiber tract by using 24-bit color coding in diffusion tensor image

  • Oh, Jung-Su;Song, In-Chan;Ik hwan Cho;Kim, Jong-Hyo;Chang, Kee-Hyun;Park, Kwang-Suk
    • 대한자기공명의과학회:학술대회논문집
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    • 대한자기공명의과학회 2002년도 제7차 학술대회 초록집
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    • pp.133-133
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    • 2002
  • Purpose: The purpose of paper is to implement software to visualize brain fiber tract using a 24-bit color coding scheme and to test its feasibility. Materials and Methods: MR imaging was performed on GE 1.5 T Signa scanner. For diffusion tensor image, we used a single shot spin-echo EPI sequence with 7 non-colinear pulsed-field gradient directions: (x, y, z):(1,1,0),(-1,1,0),(1,0,1),(-1,0,1),(0,1,1),(0,1,-1) and without diffusion gradient. B-factor was 500 sec/$\textrm{mm}^2$. Acquisition parameters are as follows: TUTE=10000ms/99ms, FOV=240mm, matrix=128${\times}$128, slice thickness/gap=6mm/0mm, total slice number=30. Subjects consisted of 10 normal young volunteers (age:21∼26 yrs, 5 men, 5 women). All DTI images were smoothed with Gaussian kernel with the FWHM of 2 pixels. Color coding schemes for visualization of directional information was as follows. HSV(Hue, Saturation, Value) color system is appropriate for assigning RGB(Red, Green, and Blue) value for every different directions because of its volumetric directional expression. Each of HSV are assigned due to (r,$\theta$,${\Phi}$) in spherical coordinate. HSV calculated by this way can be transformed into RGB color system by general HSV to RGB conversion formula. Symmetry schemes: It is natural to code the antipodal direction to be same color(antipodal symmetry). So even with no symmetry scheme, the antipodal symmetry must be included. With no symmetry scheme, we can assign every different colors for every different orientation.(H =${\Phi}$, S=2$\theta$/$\pi$, V=λw, where λw is anisotropy). But that may assign very discontinuous color even between adjacent yokels. On the other hand, Full symmetry or absolute value scheme includes symmetry for 180$^{\circ}$ rotation about xy-plane of color coordinate (rotational symmetry) and for both hemisphere (mirror symmetry). In absolute value scheme, each of RGB value can be expressed as follows. R=λw|Vx|, G=λw|Vy|, B=λw|Vz|, where (Vx, Vy, Vz) is eigenvector corresponding to the largest eigenvalue of diffusion tensor. With applying full symmetry or absolute value scheme, we can get more continuous color coding at the expense of coding same color for symmetric direction. For better visualization of fiber tract directions, Gamma and brightness correction had done. All of these implementations were done on the IDL 5.4 platform.

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