Comparison of the main magnetic resonance imaging acceleration strategies based on parallel imaging techniques

Author

Fabregat, J.A. ; Moratal, D. ; Bonmatí, L.M. ; Brummer, M.E.

Author_Institution

Unidad de I+D y Nuevos Productos, Vossloh Espana, Valencia, Spain

Volume

9

Issue

1

fYear

2011

fDate

3/1/2011 12:00:00 AM

Firstpage

749

Lastpage

758

Abstract

The main parallel imaging techniques have been implemented under MATLAB (SENSE, PILS and SPACE-RIP for image domain, and SMASH and GRAPPA for k-space domain), evaluating its characteristics about image quality and signal to noise ratio. PILS and SMASH, with an specific coil configuration, provided the best results. SENSE and SPACE-RIP were more versatile with any coil configuration. All methods arrived to its acceleration factor theoretical limit (R=4 for 4 coils) with images without noise. Only those methods that depend on a matrix reconstruction inversion (SENSE and SPACE-RIP) did not arrive to the theoretical limit for noisy images due to its instability problems. PILS provided the best results although SENSE and SPACE-RIP can be applied under more general conditions. For the k-space domain methods, SMASH gave the best results under an specific coil array configuration.

Keywords

image processing; magnetic resonance imaging; MATLAB; PILS; SENSE; SPACE-RIP; acceleration strategies; image domain; magnetic resonance imaging; matrix reconstruction inversion; parallel imaging techniques; specific coil array configuration; Acceleration; Arrays; Coils; Encoding; Magnetic resonance imaging; Sensitivity; GRAPPA; PILS; SENSE; SMASH; SPACE-RIP; acceleration techniques; magnetic resonance imaging; parallel imaging;

fLanguage

English

Journal_Title

Latin America Transactions, IEEE (Revista IEEE America Latina)

Publisher

ieee

ISSN

1548-0992

Type

jour

DOI

10.1109/TLA.2011.5876415

Filename

5876415