Efficient Compression for Multiplanar Reformulated Biomedical Images for Interactive Visualization

Author(s)

Qiang Cheng, Southern Illinois University Carbondale
Mehdi Zargham, University of DaytonFollow

Document Type

Article

Publication Date

2008

Publication Source

International Journal of Functional Informatics and Personalised Medicine

Abstract

Multiplanar Reformatting (MPR) of 3D biomedical images is an important technique in visualising, 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.

Inclusive pages

68-79

ISBN/ISSN

1756-2104

Comments

Permission documentation on file.

Copyright

Copyright © 2008 Inderscience Enterprises.

Publisher

Inderscience

Volume

1

Peer Reviewed

yes

Issue

1

eCommons Citation

Cheng, Qiang and Zargham, Mehdi, "Efficient Compression for Multiplanar Reformulated Biomedical Images for Interactive Visualization" (2008). Computer Science Faculty Publications. 156.
https://ecommons.udayton.edu/cps_fac_pub/156