Noise behavior in gridding reconstruction

Author

Mosquera, Carlos ; Irarrázabal, Pablo ; Nishimura, Dwight G.

Author_Institution

Magnetic Resonance Syst. Res. Lab., Stanford Univ., CA, USA

Volume

4

fYear

1995

fDate

9-12 May 1995

Firstpage

2281

Abstract

The paper addresses the properties of the noise in gridding reconstruction, an algorithm for reconstruction from nonuniform samples. Sequences with time-varying gradients, such as spiral or projection reconstruction (PR) techniques, are being increasingly used in magnetic resonance imaging (MRI). Since these techniques sample k-space nonuniformly, some kind of algorithm is needed to map the data onto a Cartesian frame to allow an inverse Fourier transform through an FFT. The authors present an analytical characterization of the image noise after gridding and inverse Fourier transform for the most popular sampling techniques used in MRI

Keywords

biomedical NMR; fast Fourier transforms; image reconstruction; image sampling; image sequences; interference (signal); medical image processing; white noise; Cartesian frame; FFT; gridding reconstruction; image noise; inverse Fourier transform; k-space; magnetic resonance imaging; noise behavior; nonuniform samples; projection reconstruction; sampling techniques; sequences; spiral reconstruction; time-varying gradients; Colored noise; Convolution; Discrete transforms; Fourier transforms; Image analysis; Image reconstruction; Image sampling; Interpolation; Kernel; Magnetic analysis; Magnetic noise; Magnetic resonance imaging; Sampling methods; Spirals;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.479946

Filename

479946