Volumetric medical image compression and reconstruction for interactive visualization in surgical planning

Author

Patra, Abhirup ; Wang, May D.

Author_Institution

Georgia Inst. of Technol., Atlanta, GA, USA

fYear

2003

fDate

25-27 March 2003

Firstpage

442

Abstract

Summary form only given. Different compression schemes that take advantage of interpolation methods for 3D volumetric reconstruction of medical imaging data are discussed. A volume composition system that uses different compression schemes combined with interpolation algorithms to facilitate the rapid visualization of volumetric images is developed. The quality and speed were compared to evaluate the best choice for volume rendering data compression by region of interest (ROI), discrete cosine transform (DCT) and ROI combined with DCT techniques.

Keywords

data compression; data visualisation; discrete cosine transforms; image coding; image reconstruction; interpolation; medical image processing; rendering (computer graphics); surgery; 3D volumetric reconstruction; DCT coefficient; DCT image compression; RGB; ROI; SNR; compression schemes; cubic interpolation scheme; densitometric visualization; discrete cosine transform; gray level image; interactive visualization; interpolation algorithms; run-length algorithm; surgical planning; volumetric images; volumetric medical image compression; Biomedical imaging; Data compression; Data visualization; Discrete cosine transforms; Image coding; Image reconstruction; Interpolation; Rendering (computer graphics); Surgery; Technology planning;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Compression Conference, 2003. Proceedings. DCC 2003

ISSN

1068-0314

Print_ISBN

0-7695-1896-6

Type

conf

DOI

10.1109/DCC.2003.1194061

Filename

1194061