Related Experiment Video
Updated: Jul 17, 2026
Computer-assisted Large-scale Visualization and Quantification of Pancreatic Islet Mass, Size Distribution and Architecture
Published on: March 4, 2011
Parallel visualization of visible chinese human with extremely large datasets
Liu Qian1, Gong Hui, Luo Qingming
1Hubei Bioinformatics and Molecular Imaging Key Laboratory, Huazhong University of Science and Technology, Wuhan, 430074 China,
Abstract:
Single sectional anatomy image of Visible Chinese Human datasets achieved recently in First Military Medical University is almost 127MByte. The total datasets are estimated to be 1.1 TByte if 48 bits color image is stored. Personal computer and graph workstation with multiple CPUs are also impossible to process extremely large datasets. Therefore the challenge is to visualize the extremely large datasets efficiently. Visible Chinese Human datasets are so massive in size they require the use of parallel computing resources for effective visualization. At present a parallel visualization program has been developed based on parallelism visualization toolkit (pVTK) on high performance cluster to solve the problem. The visualization results and performance demonstrate that the parallel program we developed provides a promising solution of handling extremely large datasets.
