PURPOSE: To propose a method for mitigating slab boundary artifacts in three-dimensional (3D) multislab diffusion imaging with no or minimal increases in scan time. METHODS: The multislab acquisition was treated as parallel imaging acquisition where the slab profiles acted as the traditional receiver sensitivity profiles. All the slabs were then reconstructed simultaneously along the slab direction using Cartesian-based sensitivity encoding (SENSE) reconstruction. The slab profile estimation was performed using either a Bloch simulation or a calibration scan. RESULTS: Both phantom and in vivo results showed negligible slab boundary artifacts after reconstruction using the proposed method. The performance of the proposed method is comparable to the state-of-the-art slab combination method without the scan time penalty that depends on the number of acquired volumes. The obtained g-factor map of the SENSE reconstruction problem showed a maximum g-factor of 1.7 in the region of interest. CONCLUSION: We proposed a novel method for mitigating slab boundary artifacts in 3D diffusion imaging by treating the multislab acquisition as a parallel imaging acquisition and reconstructing all slabs simultaneously using Cartesian SENSE. Unlike existing methods, the scan time increase, if any, does not scale with the number of image volumes acquired.
PURPOSE: To propose a method for mitigating slab boundary artifacts in three-dimensional (3D) multislab diffusion imaging with no or minimal increases in scan time. METHODS: The multislab acquisition was treated as parallel imaging acquisition where the slab profiles acted as the traditional receiver sensitivity profiles. All the slabs were then reconstructed simultaneously along the slab direction using Cartesian-based sensitivity encoding (SENSE) reconstruction. The slab profile estimation was performed using either a Bloch simulation or a calibration scan. RESULTS: Both phantom and in vivo results showed negligible slab boundary artifacts after reconstruction using the proposed method. The performance of the proposed method is comparable to the state-of-the-art slab combination method without the scan time penalty that depends on the number of acquired volumes. The obtained g-factor map of the SENSE reconstruction problem showed a maximum g-factor of 1.7 in the region of interest. CONCLUSION: We proposed a novel method for mitigating slab boundary artifacts in 3D diffusion imaging by treating the multislab acquisition as a parallel imaging acquisition and reconstructing all slabs simultaneously using Cartesian SENSE. Unlike existing methods, the scan time increase, if any, does not scale with the number of image volumes acquired.
Authors: Kawin Setsompop; Qiuyun Fan; Jason Stockmann; Berkin Bilgic; Susie Huang; Stephen F Cauley; Aapo Nummenmaa; Fuyixue Wang; Yogesh Rathi; Thomas Witzel; Lawrence L Wald Journal: Magn Reson Med Date: 2017-03-05 Impact factor: 4.668
Authors: Congyu Liao; Jason Stockmann; Qiyuan Tian; Berkin Bilgic; Nicolas S Arango; Mary Kate Manhard; Susie Y Huang; William A Grissom; Lawrence L Wald; Kawin Setsompop Journal: Magn Reson Med Date: 2019-08-01 Impact factor: 4.668
Authors: Sjoerd B Vos; Murat Aksoy; Zhaoying Han; Samantha J Holdsworth; Julian Maclaren; Max A Viergever; Alexander Leemans; Roland Bammer Journal: Neuroimage Date: 2016-01-14 Impact factor: 6.556
Authors: Fuyixue Wang; Berkin Bilgic; Zijing Dong; Mary Kate Manhard; Ned Ohringer; Bo Zhao; Melissa Haskell; Stephen F Cauley; Qiuyun Fan; Thomas Witzel; Elfar Adalsteinsson; Lawrence L Wald; Kawin Setsompop Journal: Magn Reson Med Date: 2018-04-01 Impact factor: 4.668