A Visualization System for Interactive Exploration of the Cardiac Anatomy.

Because of the complex and fine structure, visualization of the heart still remains a challenging task, which makes it an active research topic. In this paper, we present a visualization system for medical data, which takes advantage of the recent graphics processing unit (GPU) and can provide real-...

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Publicado en:Journal of Medical Systems Vol. 40; no. 6; pp. 1 - 12
Autores principales: Zhang, Lei, Wang, Kuanquan, Yang, Fei, Lu, Wenjing, Wang, Kechao, Zhang, Yue, Liang, Xiaoqing, Han, Dongchen, Zhu, Ying
Formato: algorithm diagnostic images equations & formulas pictorial tables/charts Journal Article
Publicado: Springer Nature Jun2016
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        atl: A Visualization System for Interactive Exploration of the Cardiac Anatomy.
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        au:
          Zhang, Lei
          Wang, Kuanquan
          Yang, Fei
          Lu, Wenjing
          Wang, Kechao
          Zhang, Yue
          Liang, Xiaoqing
          Han, Dongchen
          Zhu, Ying
        affil: School of Art and Design, Harbin University, Harbin 150086 China
      sug:
        subj:
          Heart Anatomy and Histology
          Image Processing, Computer Assisted
          Systems Design
          Myocardium
          User-Computer Interface
          Funding Source
          Imaging, Three-Dimensional
      ab: Because of the complex and fine structure, visualization of the heart still remains a challenging task, which makes it an active research topic. In this paper, we present a visualization system for medical data, which takes advantage of the recent graphics processing unit (GPU) and can provide real-time cardiac visualization. This work focuses on investigating the anatomical structure visualization of the human heart, which is fundamental to the cardiac visualization, medical training and diagnosis assistance. Several state-of-the-art cardiac visualization methods are integrated into the proposed system and a task specified visualization method is proposed. In addition, auxiliary tools are provided to generate user specified visualization results. The contributions of our work lie in two-fold: for doctors and medical staff, the system can provide task specified visualization with interactive visualization tools; for researchers, the proposed platform can serve as a baseline for comparing different rendering methods and can easily incorporate new rendering methods. Experimental results show that the proposed system can provide favorable cardiac visualization results in terms of both effectiveness and efficiency.
      pubtype: Academic Journal
      doctype:
        algorithm
        diagnostic images
        equations & formulas
        pictorial
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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