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  • Title: CvhSlicer: an interactive cross-sectional anatomy navigation system based on high-resolution Chinese visible human data.
    Author: Meng Q, Chui YP, Qin J, Kwok WH, Karmakar M, Heng PA.
    Journal: Stud Health Technol Inform; 2011; 163():354-8. PubMed ID: 21335818.
    Abstract:
    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.
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