Computing in Science & Engineering · 2012 · 18 citations · 26 references
ComputingBiomedical SciencesComputer ScienceBiomedical ImagingComputer GraphicsParallel ComputingData ParallelismGraphics Processing Unit ComputingGraphics Processing UnitsHardware AccelerationImage ReconstructionMedical ImagingGpu Parallel AlgorithmsImage Processing On GpusImage Reconstruction HardwareParallel Image ProcessingReconstruction AlgorithmsScientific Computing On Gpus
A cheap way to speed up image-reconstruction software is to use modern graphics hardware that can execute algorithms in a massively parallel manner. Here, the authors discuss Agile, an open source library designed for image reconstruction in biomedical sciences. Its modular, object-oriented, and templated design eases the integration of the library into user code.
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SENSE: Sensitivity encoding for fast MRI
Klaas P. Pruessmann, Markus Weiger, Markus B. Scheidegger et al. · Magnetic Resonance in Medicine · 1999 · 6.1K citations
Generalized autocalibrating partially parallel acquisitions (GRAPPA)
Mark A. Griswold, Peter M. Jakob, Robin M. Heidemann et al. · Magnetic Resonance in Medicine · 2002 · 5.3K citations · Full text
Optical tomography in medical imaging
Simon Arridge · Inverse Problems · 1999 · 2.5K citations