Lossless compression of volumetric medical images with improved three-dimensional SPIHT algorithm.
This article presents a lossless compression of volumetric medical images with the improved three-dimensional (3-D) set partitioning in hierarchical tree (SPIHT) algorithm that searches on asymmetric trees. The tree structure links wavelet coefficients produced by 3-D reversible integer wavelet transforms. Experiments show that the lossless compression with the improved 3-D SPIHT gives improvement about 42% on average over two-dimensional techniques and is superior to those of prior results of 3-D techniques. In addition, we can easily apply different numbers of decomposition between the transaxial and axial dimensions, which is a desirable function when the coding unit of a group of slices is limited in size.
Cho
Sungdae
S
Centre for Image Processing Research, Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
Kim
Dongyoun
D
Pearlman
William A
WA
D000293:Adolescent; D000328:Adult; D000465:Algorithms; D044962:Data Compression; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional; D007223:Infant; D008279:Magnetic Resonance Imaging; D008297:Male; D014057:Tomography, X-Ray Computed