Unbalanced 3-D tree structure for region-based coding of volumetric medical images.
In this paper, we propose an unbalanced three-dimensional (3-D) coefficient tree structure for 3-D region-of-interest (ROI) coding of medical volumetric data. We compare the proposed coding scheme against 3-D SPIHT and a recent technique that employs optimal tree construction shown to improve the performance of the 3-D SPIHT algorithm. For a MR volumetric dataset, at 0.1 bpp, the proposed region-based coding scheme outperforms by about 0.5 dB. The improvement is more significant at higher bitrates, up to 1 dB compared to SPIHT algorithm and optimal tree construction. In addition, the proposed tree structure provides a more general multiregion multiquality coding framework rather than ROI/non-ROI coding.
Wang
Kaibin
K
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada.
Cuhadar
Aysegul
A
D000465:Algorithms; D001698:Biomedical Engineering; D001921:Brain / Q000033:anatomy & histology; D044962:Data Compression; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000706:statistics & numerical data*; D008279:Magnetic Resonance Imaging / Q000706:statistics & numerical data