A new approach for utilizing conjugate k-space symmetry for improved parallel MRI performance is presented. By generating virtual coils containing conjugate symmetric k-space signals from actual coils, additional image- and coil-phase information can be incorporated into the reconstruction process for parallel acquisition techniques. In that way the reconstruction condi-tions are improved, resulting in less noise enhancement. In particular in combination with generalized autocalibrating par-tially parallel acquisitions (GRAPPA), the virtual coil concept represents a practical approach since no explicit spatial phase information is required. In addition, the influence of phase vari-ations originating from the complex receiver coils as well a...
This paper analyzes the famous GRAPPA algorithm, which is one of most widely used image reconstructi...
Both compressed sensing (CS) and parallel imaging (PI) can be used to accelerate magnetic resonance ...
Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, 2005.Includes bibliographic...
In this study, we propose a novel data acquisition and image reconstruction method for parallel magn...
Purpose: Partially parallel imaging (PPI) greatly accelerates MR imaging by using surface coil array...
PURPOSE: Most existing methods for accelerated parallel imaging in MRI require additional data, whic...
Background: The combination of multi-channel data is a critical step for the imaging of phase and su...
New theoretical and practical concepts are presented for consid-erably enhancing the performance of ...
We present an analytical form of ground-truth k-space data for the 2-D Shepp-Logan brain phantom in ...
Parallel magnetic resonance imaging offers a framework for acceleration of conventional MRI encoding...
Parallel imaging can be formulated as an inverse problem using a signal model which predicts multi-c...
The generalized approach to parallel MRI has indicated that the utilization of acquired k-space poin...
In the last years parallel imaging techniques have been presented with reduced phase encoding steps ...
SMASH1 and SENSE2 are now widely recognised methods for speeding up image acquisition by making use ...
58 p.The study was premised by relatively long scan times in producing an Magnetic Resonance Imaging...
This paper analyzes the famous GRAPPA algorithm, which is one of most widely used image reconstructi...
Both compressed sensing (CS) and parallel imaging (PI) can be used to accelerate magnetic resonance ...
Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, 2005.Includes bibliographic...
In this study, we propose a novel data acquisition and image reconstruction method for parallel magn...
Purpose: Partially parallel imaging (PPI) greatly accelerates MR imaging by using surface coil array...
PURPOSE: Most existing methods for accelerated parallel imaging in MRI require additional data, whic...
Background: The combination of multi-channel data is a critical step for the imaging of phase and su...
New theoretical and practical concepts are presented for consid-erably enhancing the performance of ...
We present an analytical form of ground-truth k-space data for the 2-D Shepp-Logan brain phantom in ...
Parallel magnetic resonance imaging offers a framework for acceleration of conventional MRI encoding...
Parallel imaging can be formulated as an inverse problem using a signal model which predicts multi-c...
The generalized approach to parallel MRI has indicated that the utilization of acquired k-space poin...
In the last years parallel imaging techniques have been presented with reduced phase encoding steps ...
SMASH1 and SENSE2 are now widely recognised methods for speeding up image acquisition by making use ...
58 p.The study was premised by relatively long scan times in producing an Magnetic Resonance Imaging...
This paper analyzes the famous GRAPPA algorithm, which is one of most widely used image reconstructi...
Both compressed sensing (CS) and parallel imaging (PI) can be used to accelerate magnetic resonance ...
Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, 2005.Includes bibliographic...