Sampling strategies to enable computationally efficient SPACE RIP for 3D parallel MR imaging

W. S. Hoge, Lei Zhao, Dana H. Brooks, Walid E. Kyriakos
ICASSP, Philadelphia, PA, USA
IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP-05)
Volume II, Pages 141-144
March 19-23, 2005

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Abstract

New MR acquisition techniques are enabling fast acquisition of data from an entire 3D volumes. Parallel MR imaging methods can provide additional acceleration to the data acquisition rate. However, the large computational memory requirements associated with 3D imaging requires new efficient reconstruction techniques. This manuscript presents an efficient implementation of SPACE-RIP for the rapid reconstruction of sub-sampled 3D MR data. Uniform sub-sampling effectively decouples the SPACE-RIP linear system of equations into a number of smaller systems which can each be solved independently, thus requiring fewer computational resources. We present a particular phase-encode sampling pattern to capitalize on this effect which allows SPACE-RIP to be computationally competitive with SENSE in 3D imaging, while providing the added benefits of self-calibrated coil sensitivity maps and improved artifact suppression through irregular sub-sampling.

Reference

Hoge WS, Zhao L, Brooks DH, Kyriakos WE. Sampling strategies to enable computationally efficient SPACE RIP for 3D parallel MR imaging. In IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP-05), volume II. Philadelphia, PA, USA, 2005;141-144.

Bibtex entry

@InProceedings{hogeICASSP05,
  author         = {Hoge, W. Scott and Zhao, Lei and Brooks, Dana H. and       
                   Kyriakos, Walid E.},                                        
  title          = {Sampling strategies to enable computationally efficient    
                   {SPACE RIP} for {3D} parallel {MR} imaging},                
  booktitle      = {IEEE Intl. Conf. on Acoustics, Speech, and Signal          
                   Processing (ICASSP-05)},                                    
  volume         = {II},                                                       
  pages          = {141-144},                                                  
  month          = {March 19--23},                                             
  year           = 2005,                                                       
  address        = {Philadelphia, PA, USA}
}

Grants

NIH T32-EB002177, NIH R21-EB000567-02

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