CvhSlicer: an interactive cross-sectional anatomy navigation system based on high-resolution Chinese visible human data
文献类型：期刊论文
| 作者 | Q. MENG; Y.P. CHUI; J. QIN; W.H. KWOK; M. KARMAKAR; P.A. HENG |
| 刊名 | Studies in health technology and informatics
 |
| 出版日期 | 2011 |
| 卷号 | 163页码:354-358 |
| 英文摘要 | We introduce the design and implementation of an interactive system for the navigation of cross-sectional anatomy based on Chinese Visible Human (CVH) data, named CvhSlicer. This system is featured in real-time computation and rendering of high-resolution anatomical images on standard personal computers (PCs) equipped with commodity Graphics Processing Units (GPUs). In order to load the whole-body dataset into the memory of a common PC, several processing steps are first applied to compress the huge CVH data. Thereafter, an adaptive CPU-GPU balancing scheme is performed to dynamically distribute rendering tasks among CPU and GPU based on parameters of computing resources. Experimental results demonstrate that our system can achieve real-time performance and has great potential to be used in anatomy education. |
| 收录类别 | 其他 |
| 原文出处 | http://www.ncbi.nlm.nih.gov/pubmed/21335818 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3206]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | Studies in health technology and informatics |
| 推荐引用方式 GB/T 7714 | Q. MENG,Y.P. CHUI,J. QIN,et al. CvhSlicer: an interactive cross-sectional anatomy navigation system based on high-resolution Chinese visible human data[J]. Studies in health technology and informatics,2011,163:354-358. |
| APA | Q. MENG,Y.P. CHUI,J. QIN,W.H. KWOK,M. KARMAKAR,&P.A. HENG.(2011).CvhSlicer: an interactive cross-sectional anatomy navigation system based on high-resolution Chinese visible human data.Studies in health technology and informatics,163,354-358. |
| MLA | Q. MENG,et al."CvhSlicer: an interactive cross-sectional anatomy navigation system based on high-resolution Chinese visible human data".Studies in health technology and informatics 163(2011):354-358. |
入库方式： OAI收割
来源：深圳先进技术研究院
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