2019
DOI: 10.1002/mrm.27793
|View full text |Cite
|
Sign up to set email alerts
|

A 3D k‐space Fourier encoding and reconstruction framework for simultaneous multi‐slab acquisition

Abstract: Purpose To propose a novel 3D k-space Fourier encoding and reconstruction framework for simultaneous multi-slab (SMSlab) acquisition and demonstrate its efficacy in high-resolution imaging. Methods First it is illustrated in theory how the inter-slab gap interferes with the formation of the SMSlab 3D k-space. Then joint RF and gradient encoding are applied to remove the inter-slab-gap interference and form a SMSlab 3D k-space. In vivo experiments are performed to validate the proposed theory. Acceleration in… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
26
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
4
1

Relationship

4
1

Authors

Journals

citations
Cited by 7 publications
(26 citation statements)
references
References 49 publications
0
26
0
Order By: Relevance
“…Nonlinear inversion for slab profile encoding (NPEN) 31 was used to correct for the slab boundary artifacts after image reconstruction. Note that the original NPEN method, proposed for conventional multi‐slab acquisition, was modified to make it compatible with SMSlab acquisition 29 . Detailed information about the NPEN correction has been described in Refs.…”
Section: Methodsmentioning
confidence: 99%
See 4 more Smart Citations
“…Nonlinear inversion for slab profile encoding (NPEN) 31 was used to correct for the slab boundary artifacts after image reconstruction. Note that the original NPEN method, proposed for conventional multi‐slab acquisition, was modified to make it compatible with SMSlab acquisition 29 . Detailed information about the NPEN correction has been described in Refs.…”
Section: Methodsmentioning
confidence: 99%
“…Detailed information about the NPEN correction has been described in Refs. 29,31. The NPEN reconstruction procedures and constraints were the same as the original paper, with the regularization parameters α = 0.2 and β = 0.6.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations