Abstract

Volume rendering is a typical technique for visualizing 3D Medical data such as CT data and MRI data. But its use has been limited by its high computational expense in terms of processing time and memory space. In this paper, wavelet compression using embedded quantization structure combined with a scan-converting volume rendering algorithm is utilized to achieve interactive visualization for medical imaging. To compress and decompress the wavelet coefficients efficiently, an improved SPIHT (Set Partitioning in Hierarchical Trees) algorithm is presented

© 2001 OSA/SPIE