Wavelet image decomposition based variable density compressive sampling in MRI

Author

Pejoski, Slavche ; Kafedziski, Venceslav

Author_Institution

Fac. of Electr. Eng. & Inf. Technol., Univ. Cyril & Methodius, Skopje, Macedonia

fYear

2011

fDate

22-24 Nov. 2011

Firstpage

635

Lastpage

638

Abstract

This paper considers compressive sampling in magnetic resonance imaging. The structure of the sparsity domain is analyzed and based on the conclusions, probability profile for random sampling is proposed. This probability profile divides the k-domain into tiles with constant probability for sampling. The value of the probability for sampling k-space frequencies in every tile is found based on the content of the specific image or similar images. The performance of the proposed probability profile is compared to the performance of the distance based probability profile.

Keywords

biomedical MRI; image sampling; medical image processing; probability; sampling methods; MRI; distance based probability profile; magnetic resonance imaging; random sampling; sampling k-space frequencies; variable density compressive sampling; wavelet image decomposition; Discrete Fourier transforms; Image reconstruction; Magnetic resonance imaging; Noise; Tiles; Wavelet domain; Wavelet transforms; Compressive sampling; MRI; Variable density sampling; Wavelets;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications Forum (TELFOR), 2011 19th

Conference_Location

Belgrade

Print_ISBN

978-1-4577-1499-3

Type

conf

DOI

10.1109/TELFOR.2011.6143628

Filename

6143628