Title: Efficient compression for multiplanar reformulated biomedical images for interactive visualisation
Author: Qiang Shawn Cheng, Mehdi Zargham
Department of Computer Science, Southern Illinois University Carbondale, Carbondale, IL 62901, USA.
Department of Computer Science, Southern Illinois University Carbondale, Carbondale, IL 62901, USA
Journal: Int. J. of Functional Informatics and Personalised Medicine, 2008 Vol.1, No.1, pp.68 - 79
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.
Keywords: multiplanar reformatting; MPR slices; compression; real-time; interactive visualisation; robust regression; biomedical images; telemedicine; teleconsultation.
Available online 14 May 2008