Singular Value Decomposition Using Jacobi Algorithm in pMRI and CS
- Autores: Qazi S.1, Saeed A.1, Nasir S.1, Omer H.1
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Afiliações:
- Department of Electrical Engineering, COMSATS Institute of Information Technology
- Edição: Volume 48, Nº 5 (2017)
- Páginas: 461-471
- Seção: Original Paper
- URL: https://journals.rcsi.science/0937-9347/article/view/247690
- DOI: https://doi.org/10.1007/s00723-017-0874-0
- ID: 247690
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Resumo
Parallel magnetic resonance imaging (pMRI) and compressed sensing (CS) have been recently used to accelerate data acquisition process in MRI. Matrix inversion (for rectangular matrices) is required to reconstruct images from the acquired under-sampled data in various pMRI algorithms (e.g., SENSE, GRAPPA) and CS. Singular value decomposition (SVD) provides a mechanism to accurately estimate pseudo-inverse of a rectangular matrix. This work proposes the use of Jacobi SVD algorithm to reconstruct MR images from the acquired under-sampled data both in pMRI and in CS. The use of Jacobi SVD algorithm is proposed in advance MRI reconstruction algorithms, including SENSE, GRAPPA, and low-rank matrix estimation in L + S model for matrix inversion and estimation of singular values. Experiments are performed on 1.5T human head MRI data and 3T cardiac perfusion MRI data for different acceleration factors. The reconstructed images are analyzed using artifact power and central line profiles. The results show that the Jacobi SVD algorithm successfully reconstructs the images in SENSE, GRAPPA, and L + S algorithms. The benefit of using Jacobi SVD algorithm for MRI image reconstruction is its suitability for parallel computation on GPUs, which may be a great help in reducing the image reconstruction time.
Sobre autores
Sohaib Qazi
Department of Electrical Engineering, COMSATS Institute of Information Technology
Autor responsável pela correspondência
Email: sohaibqazimm@gmail.com
Paquistão, Islamabad
Abeera Saeed
Department of Electrical Engineering, COMSATS Institute of Information Technology
Email: sohaibqazimm@gmail.com
Paquistão, Islamabad
Saima Nasir
Department of Electrical Engineering, COMSATS Institute of Information Technology
Email: sohaibqazimm@gmail.com
Paquistão, Islamabad
Hammad Omer
Department of Electrical Engineering, COMSATS Institute of Information Technology
Email: sohaibqazimm@gmail.com
Paquistão, Islamabad