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Abstract #2552

Parallel-Computing Reconstruction for Parallel Encoding with Parallel Imaging

Ethan M. Johnson1, John M. Pauly1

1Electrical Engineering, Stanford University, Stanford, CA, United States

Recent innovation in MRI has tended to realise improvements to image quality or reduction of acquisition time by 'supplementing' the innate Fourier encoding of magnetic resonance imaging. This typically complexifies the data-image relationship, such that reconstruction can become computationally expensive. Within this class of innovations are techniques which attempt to 'parallelise' the acquisition, with multiple receiver coils and non-bijective encoding fields. In these cases, reconstruction computations naturally exhibit parallelism that can be exploited to reconstruct images very quickly.

Keywords

acceleration accordingly account additionally advantages affects aliasing ambiguity architecture beyond bijective block chosen clearly coil coils compiled complement comprise computation computational computations computing core correction correctness count decomposition degree density determined device disk domain domains enclosed encoded encoding equation equations error event evident exclude execution fast field fields final form forming formulation forward frequency functions gains give grid halves harmonic impact implementation implemented impressive impressively improve include induced intelligible intensity interpolation interpret intra kernel many maps massively matrix memory mismatch modified multiplications nature noted numerical obvious occupancy operations operator opposed outlined paradigm parallel partition partitions phantom pixel position problem procedure program programming programs pseudo quad quadratic readout receive reconstruct reconstruction reconstructions register relatively require resolution rotation sample sense sensitivity several solution sorts spaces spatial spatially speed spin stability stages structured substitution suited systems takes task textured theory threads timers transfer transposing trend uniform upon usage verified warp warped warping written yields