Simplified Iterative GRAPPA for fast and robust parallel MRI with arbitrary trajectories
نویسندگان
چکیده
Introduction: General formulations for parallel MRI using arbitrary k-space trajectories are mainly based on iterative algorithms, such as CG-SENSE [1]. In addition, an iterative GRAPPA approach for arbitrary k-space sampling has been presented [2]. However, the reconstruction process includes several steps, including gridding, GRAPPA convolution and re-sampling operations during each iteration. Here, we present a simplified iterative GRAPPA algorithm that does not require gridding and resampling during each iteration allowing a computationally efficient reconstruction.
منابع مشابه
Iterative IIR GRAPPA: A Novel Improved Method for Parallel MRI
INTRODUCTION GRAPPA [1] is one of the most popular image reconstruction methods for Parallel MRI. This method interpolates downsampled k-space data with moving average (MA) kernel estimated using a set of fully acquired Auto-Calibrating Signal (ACS) lines in kspace; consequently, its reconstruction quality depends greatly on the estimation and generality of the kernel. Improving kernel estimati...
متن کاملAccelerating Real-time MRI of speech using spiral through-time GRAPPA
PURPOSE: Real-time MRI (RT-MRI) is a powerful tool to safely assess and quantify the vocal tract dynamics during speech production. Applications are numerous including addressing open questions in speech science, and informing treatment plans in clinical applications (e.g., oropharyngeal cancer). RT-MRI is intrinsically challenged by trade-offs amongst the spatio-temporal resolution, slice cove...
متن کاملAutomatic Design of Radial Trajectories for Parallel MRI and Anisotropic Fields-of-View
Introduction: In recent years, non-Cartesian k-space trajectories such as radials and spirals have gained increased attention owing to mild appearance of artifacts from flow, chemical shift and undersampling, increased efficiency and intrinsic self-navigating properties. Remaining challenges of imaging with non-Cartesian trajectories include the lack of practical methods to optimize their perfo...
متن کاملParallel spectroscopic imaging reconstruction with arbitrary trajectories using k-space sparse matrices.
Parallel imaging reconstruction has been successfully applied to magnetic resonance spectroscopic imaging (MRSI) to reduce scan times. For undersampled k-space data on a Cartesian grid, the reconstruction can be achieved in image domain using a sensitivity encoding (SENSE) algorithm for each spectral data point. Alternative methods for reconstruction with undersampled Cartesian k-space data are...
متن کاملIterative Schemes to Solve Low-Dimensional Calibration Equations in Parallel MR Image Reconstruction with GRAPPA
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 lin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008