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“School of Cognitive Sciences”

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Paper   IPM / Cognitive Sciences / 12325
School of Cognitive Sciences
  Title:   Using learned under-sampling pattern for increasing speed of cardiac cine MRI based on compressive sensing principles
  Author(s): 
1.  Pooria Zamani
2.  Mohammad Kayvanrad
3.  Hamid Soltanian Zadeh
  Status:   Published
  Journal: EURASIP Journal on Applied Signal Processing
  Vol.:  82
  Year:  2012
  Pages:   1-15
  Supported by:  IPM
  Abstract:
This article presents a compressive sensing approach for reducing data acquisition time in cardiac cine magnetic resonance imaging (MRI). In cardiac cine MRI, several images are acquired throughout the cardiac cycle, each of which is reconstructed from the raw data acquired in the Fourier transform domain, traditionally called k-space. In the proposed approach, a majority, e.g., 62.5

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