PURPOSE: To remove phase inconsistencies between multiple echoes, an algorithm using a radial acquisition to provide inherent phase and magnitude information for self correction was developed. The information also allows simultaneous support for parallel imaging for multiple coil acquisitions. MATERIALS AND METHODS: Without a separate field map acquisition, a phase estimate from each echo in multiple echo train was generated. When using a multiple channel coil, magnitude and phase estimates from each echo provide in vivo coil sensitivities. An algorithm based on the conjugate gradient method uses these estimates to simultaneously remove phase inconsistencies between echoes, and in the case of multiple coil acquisition, simultaneously provides parallel imaging benefits. The algorithm is demonstrated on single channel, multiple channel, and undersampled data. RESULTS: Substantial image quality improvements were demonstrated. Signal dropouts were completely removed and undersampling artifacts were well suppressed. CONCLUSION: The suggested algorithm is able to remove phase cancellation and undersampling artifacts simultaneously and to improve image quality of multiecho radial imaging, the important technique for fast three-dimensional MRI data acquisition.
PURPOSE: To remove phase inconsistencies between multiple echoes, an algorithm using a radial acquisition to provide inherent phase and magnitude information for self correction was developed. The information also allows simultaneous support for parallel imaging for multiple coil acquisitions. MATERIALS AND METHODS: Without a separate field map acquisition, a phase estimate from each echo in multiple echo train was generated. When using a multiple channel coil, magnitude and phase estimates from each echo provide in vivo coil sensitivities. An algorithm based on the conjugate gradient method uses these estimates to simultaneously remove phase inconsistencies between echoes, and in the case of multiple coil acquisition, simultaneously provides parallel imaging benefits. The algorithm is demonstrated on single channel, multiple channel, and undersampled data. RESULTS: Substantial image quality improvements were demonstrated. Signal dropouts were completely removed and undersampling artifacts were well suppressed. CONCLUSION: The suggested algorithm is able to remove phase cancellation and undersampling artifacts simultaneously and to improve image quality of multiecho radial imaging, the important technique for fast three-dimensional MRI data acquisition.
Authors: Ernest N Yeh; Matthias Stuber; Charles A McKenzie; Rene M Botnar; Tim Leiner; Michael A Ohliger; Aaron K Grant; Jacob D Willig-Onwuachi; Daniel K Sodickson Journal: Magn Reson Med Date: 2005-07 Impact factor: 4.668
Authors: James H Holmes; Rafael L O'Halloran; Ethan K Brodsky; Youngkyoo Jung; Walter F Block; Sean B Fain Journal: Magn Reson Med Date: 2008-05 Impact factor: 4.668
Authors: Youngkyoo Jung; Alexey A Samsonov; Walter F Block; Mariana Lazar; Aiming Lu; Jing Liu; Andrew L Alexander Journal: J Magn Reson Imaging Date: 2009-05 Impact factor: 4.813