Efficient compression for multiplanar reformulated biomedical images for interactive visualisation Online publication date: Wed, 14-May-2008
by Qiang Shawn Cheng, Mehdi Zargham
International Journal of Functional Informatics and Personalised Medicine (IJFIPM), Vol. 1, No. 1, 2008
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.
Online publication date: Wed, 14-May-2008
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Functional Informatics and Personalised Medicine (IJFIPM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org