An efficient compression method for multiplanar reformulated biomedical images

Qiang Cheng, Mehdi Zargham

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE
Pages578-584
Number of pages7
DOIs
StatePublished - 2007
Event7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE - Boston, MA, United States
Duration: Jan 14 2007Jan 17 2007

Publication series

NameProceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

Conference

Conference7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE
Country/TerritoryUnited States
CityBoston, MA
Period1/14/071/17/07

ASJC Scopus subject areas

  • Biotechnology
  • Genetics
  • Bioengineering

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