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Three-dimensional echo-shifted EPI with simultaneous blip-up and blip-down acquisitions for correcting geometric distortion.
Sun, Kaibao; Chen, Zhifeng; Dan, Guangyu; Luo, Qingfei; Yan, Lirong; Liu, Feng; Zhou, Xiaohong Joe.
Affiliation
  • Sun K; Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, Illinois, USA.
  • Chen Z; Keck School of Medicine, USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA.
  • Dan G; Department of Data Science and AI, Faculty of IT, Monash University, Clayton, Victoria, Australia.
  • Luo Q; Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, Illinois, USA.
  • Yan L; Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, Illinois, USA.
  • Liu F; Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, Illinois, USA.
  • Zhou XJ; Keck School of Medicine, USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA.
Magn Reson Med ; 90(6): 2375-2387, 2023 Dec.
Article in En | MEDLINE | ID: mdl-37667533
ABSTRACT

PURPOSE:

EPI with blip-up/down acquisition (BUDA) can provide high-quality images with minimal distortions by using two readout trains with opposing phase-encoding gradients. Because of the need for two separate acquisitions, BUDA doubles the scan time and degrades the temporal resolution when compared to single-shot EPI, presenting a major challenge for many applications, particularly fMRI. This study aims at overcoming this challenge by developing an echo-shifted EPI BUDA (esEPI-BUDA) technique to acquire both blip-up and blip-down datasets in a single shot.

METHODS:

A 3D esEPI-BUDA pulse sequence was designed by using an echo-shifting strategy to produce two EPI readout trains. These readout trains produced a pair of k-space datasets whose k-space trajectories were interleaved with opposite phase-encoding gradient directions. The two k-space datasets were separately reconstructed using a 3D SENSE algorithm, from which time-resolved B0 -field maps were derived using TOPUP in FSL and then input into a forward model of joint parallel imaging reconstruction to correct for geometric distortion. In addition, Hankel structured low-rank constraint was incorporated into the reconstruction framework to improve image quality by mitigating the phase errors between the two interleaved k-space datasets.

RESULTS:

The 3D esEPI-BUDA technique was demonstrated in a phantom and an fMRI study on healthy human subjects. Geometric distortions were effectively corrected in both phantom and human brain images. In the fMRI study, the visual activation volumes and their BOLD responses were comparable to those from conventional 3D echo-planar images.

CONCLUSION:

The improved imaging efficiency and dynamic distortion correction capability afforded by 3D esEPI-BUDA are expected to benefit many EPI applications.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Arthroplasty, Replacement Limits: Humans Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2023 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Arthroplasty, Replacement Limits: Humans Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2023 Document type: Article Affiliation country: United States