Parallel imaging technique has been proposed to utilize simultaneous data acquisition from multiple RF receivers to improve the spatiotemporal resolution of MRI (Sodickson and Manning 1997; Pruessmann, Weiger et al. 1999). Mathematically, the formation and the reconstruction of the parallel MRI, including image domain and k-space domain variants, have been formulated as linear equation (Sodickson and McKenzie 2001). Thus matrix inversion is a critical process in reconstructing a full-FOV image. Previously we showed that using the prio
SMACKER is a method of calculating sensitivity maps from k-space reconstruction coefficients using o...
Parallel imaging can be formulated as an inverse problem using a signal model which predicts multi-c...
Functional MRI (fMRI) is a widely preferred imaging modality to detect the regional brain activation...
[[abstract]]©2005 Wiley - Parallel MRI techniques reconstruct full-FOV images from undersampled k-sp...
International audienceTo reduce scanning time and/or improve spatial/temporal resolution in some Mag...
International audienceTo reduce scanning time and/or improve spatial/temporal resolution in some Mag...
To reduce scanning time and/or improve spatial/temporal resolution in some Magnetic Resonance Imagin...
Parallel magnetic resonance imaging offers a framework for acceleration of conventional MRI encoding...
Parallel imaging techniques enable the acceleration of MR image acquisition. This is made possible b...
Abstract—In parallel magnetic resonance imaging (pMRI), to find a joint solution for the image and c...
In parallel magnetic resonance imaging (pMRI), to find a joint solution for the image and coil sensi...
In parallel MRI, the acquisition of data from multiple receive coils allows for the undersampling o...
The problem of image reconstruction from sensitivity encoded data is formulated in a general fashion...
[[abstract]]©2007 Wiley - Multiple receivers can be utilized to enhance the spatiotemporal resolutio...
A new approach based on nonlinear inversion for autocalibrated parallel imaging with arbitrary sampl...
SMACKER is a method of calculating sensitivity maps from k-space reconstruction coefficients using o...
Parallel imaging can be formulated as an inverse problem using a signal model which predicts multi-c...
Functional MRI (fMRI) is a widely preferred imaging modality to detect the regional brain activation...
[[abstract]]©2005 Wiley - Parallel MRI techniques reconstruct full-FOV images from undersampled k-sp...
International audienceTo reduce scanning time and/or improve spatial/temporal resolution in some Mag...
International audienceTo reduce scanning time and/or improve spatial/temporal resolution in some Mag...
To reduce scanning time and/or improve spatial/temporal resolution in some Magnetic Resonance Imagin...
Parallel magnetic resonance imaging offers a framework for acceleration of conventional MRI encoding...
Parallel imaging techniques enable the acceleration of MR image acquisition. This is made possible b...
Abstract—In parallel magnetic resonance imaging (pMRI), to find a joint solution for the image and c...
In parallel magnetic resonance imaging (pMRI), to find a joint solution for the image and coil sensi...
In parallel MRI, the acquisition of data from multiple receive coils allows for the undersampling o...
The problem of image reconstruction from sensitivity encoded data is formulated in a general fashion...
[[abstract]]©2007 Wiley - Multiple receivers can be utilized to enhance the spatiotemporal resolutio...
A new approach based on nonlinear inversion for autocalibrated parallel imaging with arbitrary sampl...
SMACKER is a method of calculating sensitivity maps from k-space reconstruction coefficients using o...
Parallel imaging can be formulated as an inverse problem using a signal model which predicts multi-c...
Functional MRI (fMRI) is a widely preferred imaging modality to detect the regional brain activation...