Iterative Schemes to Solve Low-Dimensional Calibration Equations in Parallel MR Image Reconstruction with GRAPPA
Joint Authors
Inam, Omair
Qureshi, Mahmood
Omer, Hammad
Malik, S. A.
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-28
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
GRAPPA (Generalized Autocalibrating Partially Parallel Acquisition) is a widely used parallel MRI reconstruction technique.
The processing of data from multichannel receiver coils may increase the storage and computational requirements of GRAPPA reconstruction.
Random projection on GRAPPA (RP-GRAPPA) uses random projection (RP) method to overcome the computational overheads of solving large linear equations in the calibration phase of GRAPPA, saving reconstruction time.
However, RP-GRAPPA compromises the reconstruction accuracy in case of large reductions in the dimensions of calibration equations.
In this paper, we present the implementation of GRAPPA reconstruction method using potential iterative solvers to estimate the reconstruction coefficients from the randomly projected calibration equations.
Experimental results show that the proposed methods withstand the reconstruction accuracy (visually and quantitatively) against large reductions in the dimension of linear equations, when compared with RP-GRAPPA reconstruction.
Particularly, the proposed method using conjugate gradient for least squares (CGLS) demonstrates more savings in the computational time of GRAPPA, without significant loss in the reconstruction accuracy, when compared with RP-GRAPPA.
It is also demonstrated that the proposed method using CGLS complements the channel compression method for reducing the computational complexities associated with higher channel count, thereby resulting in additional memory savings and speedup.
American Psychological Association (APA)
Inam, Omair& Qureshi, Mahmood& Malik, S. A.& Omer, Hammad. 2017. Iterative Schemes to Solve Low-Dimensional Calibration Equations in Parallel MR Image Reconstruction with GRAPPA. BioMed Research International،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1136485
Modern Language Association (MLA)
Inam, Omair…[et al.]. Iterative Schemes to Solve Low-Dimensional Calibration Equations in Parallel MR Image Reconstruction with GRAPPA. BioMed Research International No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1136485
American Medical Association (AMA)
Inam, Omair& Qureshi, Mahmood& Malik, S. A.& Omer, Hammad. Iterative Schemes to Solve Low-Dimensional Calibration Equations in Parallel MR Image Reconstruction with GRAPPA. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1136485
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136485