Gadgetron: An open source framework for medical image reconstruction

@article{Hansen2013GadgetronAO,
  title={Gadgetron: An open source framework for medical image reconstruction},
  author={Michael S. Hansen and Thomas Sangild S{\o}rensen},
  journal={Magnetic Resonance in Medicine},
  year={2013},
  volume={69}
}
This work presents a new open source framework for medical image reconstruction called the “Gadgetron.” The framework implements a flexible system for creating streaming data processing pipelines where data pass through a series of modules or “Gadgets” from raw data to reconstructed images. The data processing pipeline is configured dynamically at run‐time based on an extensible markup language configuration description. The framework promotes reuse and sharing of reconstruction modules and new… 
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References

SHOWING 1-10 OF 22 REFERENCES
HTGRAPPA: Real‐time B1‐weighted image domain TGRAPPA reconstruction
TLDR
The temporal generalized autocalibrating partially parallel acquisitions (TGRAPPA) algorithm for parallel MRI was modified for real‐time low latency imaging in interventional procedures using image domain, B1‐weighted reconstruction, resulting in improved reconstruction speed.
Cartesian SENSE and k‐t SENSE reconstruction using commodity graphics hardware
TLDR
This study demonstrates that modern commodity graphics cards (GPUs) can be used to perform fast Cartesian SENSE and k‐t SENSE reconstruction, and demonstrates that the SENSE inversion is accelerated by up to two orders of magnitude and is no longer the time‐limiting step, enabling real‐time, interactive SENSE imaging.
Real-Time Reconstruction of Sensitivity Encoded Radial Magnetic Resonance Imaging Using a Graphics Processing Unit
TLDR
A reconstruction algorithm for commodity graphics hardware (GPUs) is presented to enable real time reconstruction of sensitivity encoded radial imaging (radial SENSE) and it is demonstrated that a radial profile order based on the golden ratio facilitates reconstruction from an arbitrary number of profiles.
Generalized autocalibrating partially parallel acquisitions (GRAPPA)
TLDR
This technique, GeneRalized Autocalibrating Partially Parallel Acquisitions (GRAPPA) is an extension of both the PILS and VD‐AUTO‐SMASH reconstruction techniques and provides unaliased images from each component coil prior to image combination.
Advances in sensitivity encoding with arbitrary k‐space trajectories
TLDR
Using the proposed method, SENSE becomes practical with nonstandard k‐space trajectories, enabling considerable scan time reduction with respect to mere gradient encoding, and the in vivo feasibility of non‐Cartesian SENSE imaging with iterative reconstruction is demonstrated.
SENSE: Sensitivity encoding for fast MRI
TLDR
The problem of image reconstruction from sensitivity encoded data is formulated in a general fashion and solved for arbitrary coil configurations and k‐space sampling patterns and special attention is given to the currently most practical case, namely, sampling a common Cartesian grid with reduced density.
A hybrid method for more efficient channel‐by‐channel reconstruction with many channels
TLDR
Flexible virtual coil is combined to enable faster and more accurate reconstruction than existing channel reduction techniques and has a major impact in reducing computation cost in reconstruction with high‐channel count coil elements.
Accelerating the Nonequispaced Fast Fourier Transform on Commodity Graphics Hardware
TLDR
A fast parallel algorithm to compute the nonequispaced fast Fourier transform on commodity graphics hardware (the GPU) and a novel implementation of the convolution step in the transform as it was previously its most time consuming part.
Sparse MRI: The application of compressed sensing for rapid MR imaging
TLDR
Practical incoherent undersampling schemes are developed and analyzed by means of their aliasing interference and demonstrate improved spatial resolution and accelerated acquisition for multislice fast spin‐echo brain imaging and 3D contrast enhanced angiography.
...
...