Embedded coding of medical images with regions of interest based on 3-D zerotree

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  • State Key Laboratory of Integrated Service Networks, Xidian University, Xi′an 710071, China;

Published date: 05 Mar 2007

Abstract

In order to satisfy the need of diagnoses, based on the characteristic of medical images that a sequence of frames are formed in one body inspection, a new strategy for medical images compression is proposed. The 3-D wavelet is adopted and the planar zerotree is extended to the 3-D zerotree. By making use of the 3-D zerotree structure, a simple method for region of interest (ROI) mask generation is put forward. Medical images are compressed by three-dimensional embedded coding with the compression of regions of interest. Simulation results have shown that it can efficiently improve the compression ratio without affecting the diagnoses.

Cite this article

MA Jing, WU Chengke, CHEN Dong, ZHOU Youxi . Embedded coding of medical images with regions of interest based on 3-D zerotree[J]. Frontiers of Electrical and Electronic Engineering, 2007 , 2(1) : 8 -12 . DOI: 10.1007/s11460-007-0002-2

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