A Study of Medical Data Compression in Visualization
Due to the limitations of graphics capacity and bandwidth from main memory to video memory, a large amount of information in medical data has become the bottleneck in visualization. Compressed volume rendering, combining with volumetric compression and volume rendering, is one way to solve this problem. Hierarchical vector quantization (HVQ) and DXT1 are simple and effective, with great rendering performance, to meet the requirements of compressed volume rendering. DXTI would be a useful attempt in visualization of medical data, because of very quick compressed and decompressed speed.
out-of-core medical data compressed volume rendering HVQ DXTI
Xin Xiong Yan Kang
Sino-Dutch Biomedical and Information Engineering School Northeast University Shenyang, China
国际会议
成都
英文
552-554
2010-12-17（万方平台首次上网日期，不代表论文的发表时间）