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用于交互式探索心脏解剖结构的可视化系统。

A Visualization System for Interactive Exploration of the Cardiac Anatomy.

机构信息

School of Art and Design, Harbin University, Harbin, 150086, China.

School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China.

出版信息

J Med Syst. 2016 Jun;40(6):135. doi: 10.1007/s10916-016-0480-y. Epub 2016 Apr 20.

DOI:10.1007/s10916-016-0480-y
PMID:27098778
Abstract

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.

摘要

由于心脏结构复杂精细,心脏可视化仍然是一项具有挑战性的任务,这使得它成为一个活跃的研究课题。在本文中,我们提出了一种用于医学数据的可视化系统,该系统利用了最新的图形处理单元(GPU),能够提供实时的心脏可视化。这项工作专注于研究人类心脏的解剖结构可视化,这是心脏可视化、医学培训和诊断辅助的基础。我们将几种最先进的心脏可视化方法集成到所提出的系统中,并提出了一种任务指定的可视化方法。此外,还提供了辅助工具来生成用户指定的可视化结果。我们工作的贡献在于两个方面:对于医生和医务人员来说,该系统可以提供带有交互式可视化工具的任务指定可视化;对于研究人员来说,所提出的平台可以作为比较不同渲染方法的基准,并可以轻松地合并新的渲染方法。实验结果表明,所提出的系统在有效性和效率方面都能提供良好的心脏可视化结果。

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J Med Syst. 2016 Apr;40(4):108. doi: 10.1007/s10916-016-0467-8. Epub 2016 Feb 27.
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An Automatic 3-D Reconstruction of Coronary Arteries by Stereopsis.立体视法自动重建冠状动脉三维结构
J Med Syst. 2016 Apr;40(4):94. doi: 10.1007/s10916-016-0455-z. Epub 2016 Feb 10.
3
Compression and Encryption of ECG Signal Using Wavelet and Chaotically Huffman Code in Telemedicine Application.
基于深度衰减度的可视化方法用于心脏缺血电生理特征探索
Biomed Res Int. 2016;2016:2979081. doi: 10.1155/2016/2979081. Epub 2016 Nov 27.
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FPGA Implementation of Heart Rate Monitoring System.心率监测系统的现场可编程门阵列实现
J Med Syst. 2016 Mar;40(3):49. doi: 10.1007/s10916-015-0410-4. Epub 2015 Dec 7.
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