PURPOSE: To combine the specific advantages of the generalized autocalibrating partially parallel acquisitions (GRAPPA) technique and sensitivity encoding (SENSE) with two-dimensional (2D) undersampling. MATERIALS AND METHODS: By splitting the 2D reconstruction process into multiple one-dimensional (1D) reconstructions, the normal 1D GRAPPA method can be used for image reconstruction. Due to this data-handling process, a GRAPPA reconstruction is performed along the phase-encoding (PE) direction and effectively a SENSE reconstruction is performed along the partition-encoding (PAE) direction. RESULTS: In vivo experiments demonstrate the successful implementation of the SENSE/GRAPPA combination. Experimental results with up to 9.6-fold acceleration using a prototype 32-channel receiver head coil array are presented. CONCLUSION: The proposed SENSE/GRAPPA combination for 3D imaging allows the GRAPPA method to be applied in combination with 2D undersampling. Because the SENSE/GRAPPA combination is not based on knowledge of spatial coil sensitivities, it should be the method of choice whenever it is difficult to extract the sensitivity information.
PURPOSE: To combine the specific advantages of the generalized autocalibrating partially parallel acquisitions (GRAPPA) technique and sensitivity encoding (SENSE) with two-dimensional (2D) undersampling. MATERIALS AND METHODS: By splitting the 2D reconstruction process into multiple one-dimensional (1D) reconstructions, the normal 1D GRAPPA method can be used for image reconstruction. Due to this data-handling process, a GRAPPA reconstruction is performed along the phase-encoding (PE) direction and effectively a SENSE reconstruction is performed along the partition-encoding (PAE) direction. RESULTS: In vivo experiments demonstrate the successful implementation of the SENSE/GRAPPA combination. Experimental results with up to 9.6-fold acceleration using a prototype 32-channel receiver head coil array are presented. CONCLUSION: The proposed SENSE/GRAPPA combination for 3D imaging allows the GRAPPA method to be applied in combination with 2D undersampling. Because the SENSE/GRAPPA combination is not based on knowledge of spatial coil sensitivities, it should be the method of choice whenever it is difficult to extract the sensitivity information.
Authors: Kangrong Zhu; Robert F Dougherty; Hua Wu; Matthew J Middione; Atsushi M Takahashi; Tao Zhang; John M Pauly; Adam B Kerr Journal: IEEE Trans Med Imaging Date: 2016-02-18 Impact factor: 10.048
Authors: Steen Moeller; Essa Yacoub; Cheryl A Olman; Edward Auerbach; John Strupp; Noam Harel; Kâmil Uğurbil Journal: Magn Reson Med Date: 2010-05 Impact factor: 4.668
Authors: K Setsompop; J Cohen-Adad; B A Gagoski; T Raij; A Yendiki; B Keil; V J Wedeen; L L Wald Journal: Neuroimage Date: 2012-06-23 Impact factor: 6.556
Authors: Changyu Sun; Yang Yang; Xiaoying Cai; Michael Salerno; Craig H Meyer; Daniel Weller; Frederick H Epstein Journal: Magn Reson Med Date: 2019-09-30 Impact factor: 4.668
Authors: Gerrit Schultz; Daniel Gallichan; Hans Weber; Walter R T Witschey; Matthias Honal; Jürgen Hennig; Maxim Zaitsev Journal: Magn Reson Med Date: 2014-04-28 Impact factor: 4.668
Authors: Benedikt A Poser; Robert James Anderson; Bastien Guérin; Kawin Setsompop; Weiran Deng; Azma Mareyam; Peter Serano; Lawrence L Wald; V Andrew Stenger Journal: Magn Reson Med Date: 2013-05-28 Impact factor: 4.668