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

Volume

1

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

1537

Lastpage

1540

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IEMBS.2004.1403470

Filename

1403470