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Iterative Schemes to Solve Low-Dimensional Calibration Equations in Parallel MR Image Reconstruction with GRAPPA
المؤلفون المشاركون
Inam, Omair
Qureshi, Mahmood
Omer, Hammad
Malik, S. A.
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-09-28
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1136485
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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