Literature DB >> 11550258

Coil-by-coil image reconstruction with SMASH.

C A McKenzie1, M A Ohliger, E N Yeh, M D Price, D K Sodickson.   

Abstract

The SiMultaneous Acquisition of Spatial Harmonics (SMASH) technique uses linear combinations of undersampled datasets from the component coils of an RF coil array to reconstruct fully sampled composite datasets in reduced imaging times. In previously reported implementations, SMASH reconstructions were designed to reproduce the images that would otherwise be obtained by simple sums of fully gradient encoded component coil images. This strategy has left SMASH images vulnerable to phase cancellation artifacts when the sensitivities of RF coil array elements are not suitably phase-aligned. In fully gradient encoded imaging schemes these artifacts can be eliminated using a variety of methods for combining the individual coil images, including matched filter combinations as well as sum of squares combinations. Until now, these reconstruction schemes have been unavailable to SMASH reconstructions as SMASH produced a final composite image directly from the raw component coil k-space datasets. This article demonstrates a modification to SMASH that allows reconstruction of a full set of accelerated individual component coil images by fitting component coil sensitivity functions to a complete set of spatial harmonics tailored for each coil in the array. Standard component coil combinations applied to the individual reconstructed images produce final composite images free of phase cancellation artifacts. Copyright 2001 Wiley-Liss, Inc.

Mesh:

Year:  2001        PMID: 11550258     DOI: 10.1002/mrm.1236

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  6 in total

1.  Recent advances in image reconstruction, coil sensitivity calibration, and coil array design for SMASH and generalized parallel MRI.

Authors:  Daniel K Sodickson; Charles A McKenzie; Michael A Ohliger; Ernest N Yeh; Mark D Price
Journal:  MAGMA       Date:  2002-01       Impact factor: 2.310

2.  Parallel reconstruction using null operations.

Authors:  Jian Zhang; Chunlei Liu; Michael E Moseley
Journal:  Magn Reson Med       Date:  2011-05-20       Impact factor: 4.668

3.  Parallel Magnetic Resonance Imaging as Approximation in a Reproducing Kernel Hilbert Space.

Authors:  Vivek Athalye; Michael Lustig; Martin Uecker
Journal:  Inverse Probl       Date:  2015-04-01       Impact factor: 2.407

4.  Linear Predictability in MRI Reconstruction: Leveraging Shift-Invariant Fourier Structure for Faster and Better Imaging.

Authors:  Justin P Haldar; Kawin Setsompop
Journal:  IEEE Signal Process Mag       Date:  2020-01-17       Impact factor: 12.551

5.  Coil combination methods for multi-channel hyperpolarized 13C imaging data from human studies.

Authors:  Zihan Zhu; Xucheng Zhu; Michael A Ohliger; Shuyu Tang; Peng Cao; Lucas Carvajal; Adam W Autry; Yan Li; John Kurhanewicz; Susan Chang; Rahul Aggarwal; Pamela Munster; Duan Xu; Peder E Z Larson; Daniel B Vigneron; Jeremy W Gordon
Journal:  J Magn Reson       Date:  2019-02-01       Impact factor: 2.229

6.  Multi-reception strategy with improved SNR for multichannel MR imaging.

Authors:  Bing Wu; Ye Li; Chunsheng Wang; Daniel B Vigneron; Xiaoliang Zhang
Journal:  PLoS One       Date:  2012-08-03       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.