DocumentCode :
1990148
Title :
An Efficient Compression Method for Multiplanar Reformulated Biomedical Images
Author :
Cheng, Qiang ; Zargham, Mehdi
Author_Institution :
Southern Illinois Univ., Carbondale
fYear :
2007
fDate :
14-17 Oct. 2007
Firstpage :
578
Lastpage :
584
Abstract :
Multiplanar reformatting (MPR) of 3D biomedical images is an important technique in visualizing, editing, and interacting with volumetric data. To obtain near real-time interactions with the data in many applications such as telemedicine and teleconsultation, the MPR slices are produced and transmitted dynamically. The MPR compression is an important technique to improve the transmission and display efficiency. We develop a dedicated MPR compression scheme by exploiting the characteristics of MPR slices, especially for thin MPR. Robust regression techniques are applied to predict the current slice from the previous ones. In the presence of scales, rotations, and translations, we make use of the known knowledge of the operations, or the transform domain representations of the image in the case of unknown parameters. The effectiveness of the scheme is confirmed by experimental results.
Keywords :
image coding; medical image processing; regression analysis; compression method; multiplanar reformulated biomedical image; robust regression techniques; transform domain representations; volumetric data; Biomedical imaging; Computed tomography; Computer displays; Data visualization; Image coding; Image storage; Medical diagnostic imaging; Positron emission tomography; Robustness; Telemedicine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-1509-0
Type :
conf
DOI :
10.1109/BIBE.2007.4375619
Filename :
4375619
Link To Document :
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