Non-Cartesian parallel imaging reconstruction

Parallel Imaging Reconstruction I: Cartesian

Introduction Parallel Imaging is an effective way of accelerating MRI acquisitions. It works by replacing some of the Fourier encoding with spatial sensitivity encoding from multiple localized receiver coils. Fewer k-space locations are visited during the acquisition and to compensate for the missing data, information about the spatial sensitivities of the receiver coils is incorporated into th...

Parallel Imaging Reconstruction I: Cartesian

Parallel Imaging is an effective way of accelerating MRI acquisitions. It works by replacing some of the Fourier encoding with spatial sensitivity encoding from multiple localized receiver coils. Fewer k-space locations are visited during the acquisition and to compensate for the missing data, information about the spatial sensitivities of the receiver coils is incorporated into the reconstruct...

Rapid non-Cartesian Parallel Imaging Reconstruction on Commodity Graphics Hardware

Introduction In this abstract we advocate the concept of real-time non-Cartesian magnetic resonance imaging with minimal reconstruction delay. We focus on cardiac imaging although the presented techniques are generally applicable. Parallel imaging techniques such as SENSE [1] and k-t SENSE [2] have been available for years for realtime acquisition. Until now however, available reconstruction im...

Non-Cartesian Parallel Magnetic Resonance Imaging

Non-Cartesian Reconstruction

There are many alternatives to spin-warp, or 2DFT, acquisition methods. These include spiral scans, radial scans, variations of echo-planar, and many other less common acquisitions (rosette, Lissajou, ...). All of these are relatively easy to program on modern commercial imaging systems. Many of these have specific advantages over spin-warp, such as speed, flow performance, and SNR efficiency. ...