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Embedded coding of medical images with regions of interest based on 3-D zerotree |
| MA Jing, WU Chengke, CHEN Dong, ZHOU Youxi |
| State Key Laboratory of Integrated Service Networks, Xidian University, Xi′an 710071, China; |
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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.
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Issue Date: 05 March 2007
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