Title :
Quantitative and qualitative evaluation of filter characteristics for wavelet packet compression of MR images
Author :
Azpiroz-Leehan, J. ; Leder, R. ; Lerallut, J.-F.
Author_Institution :
Dept. of Electr. Eng., Univ. Autonoma Metropolitana, Mexico City, Mexico
Abstract :
We present an analysis of the characteristics of different filters for the compression of magnetic resonance images. Compression rates were 33:1 and 50:1. We compare the performance among different types of wavelets presented in the literature and provide quantitative (percentage of energy retained, peak signal to noise ratio) and qualitative (analysis by a group of seven experts) data to support our conclusions. Different types of coiflets, symlets and biorthogonal wavelets are analyzed, and we conclude that for the images under study (T1 weighed images in three planes), the best results are provided by the biorthogonal spline (Daubechies) wavelet 2,6. Several explanations for these results are mentioned.
Keywords :
biomedical MRI; data compression; image coding; image reconstruction; medical image processing; wavelet transforms; Daubechies wavelet; MR image; biorthogonal spline; biorthogonal wavelet; coiflets; filter characteristics evaluation; image compression; magnetic resonance imaging; signal to noise ratio; symlets; wavelet packet compression; Filters; Image analysis; Image coding; Magnetic analysis; Magnetic resonance; Magnetic separation; PSNR; Signal analysis; Wavelet analysis; Wavelet packets; Image compression; magnetic resonance imaging; wavelet packets;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1403470
