2019
DOI: 10.1002/mrm.27737
|View full text |Cite
|
Sign up to set email alerts
|

An efficient 3D stack‐of‐stars turbo spin echo pulse sequence for simultaneous T2‐weighted imaging and T2 mapping

Abstract: Purpose:To design a pulse sequence for efficient 3D T2-weighted imaging and T2 mapping. Methods: A stack-of-stars turbo spin echo pulse sequence with variable refocusing flip angles and a flexible pseudorandom view ordering is proposed for simultaneous T2-weighted imaging and T2 mapping. An analytical framework is introduced for the selection of refocusing flip angles to maximize relative tissue contrast while minimizing T2 estimation errors and maintaining low specific absorption rate. Images at different ech… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
28
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 16 publications
(28 citation statements)
references
References 49 publications
0
28
0
Order By: Relevance
“…The performance of stack-of-stars sampling has been previously demonstrated in gradient-echo (GRE) imaging, 7,15 fast spin-echo (FSE) imaging, 16,17 multi-echo Dixon imaging, 9,18,19 and balanced steady-state free precession (bSSFP) imaging. [20][21][22] The stack-of-stars versions of these sequences have been applied for free-breathing dynamic contrastenhanced MRI (DCE-MRI), 3,6,23,24 cardiovascular MRI, 9,[20][21][22] fat/water MRI, 18,19,25 arterial spin labeling (ASL) MRI 26 and others.…”
Section: Introductionmentioning
confidence: 99%
“…The performance of stack-of-stars sampling has been previously demonstrated in gradient-echo (GRE) imaging, 7,15 fast spin-echo (FSE) imaging, 16,17 multi-echo Dixon imaging, 9,18,19 and balanced steady-state free precession (bSSFP) imaging. [20][21][22] The stack-of-stars versions of these sequences have been applied for free-breathing dynamic contrastenhanced MRI (DCE-MRI), 3,6,23,24 cardiovascular MRI, 9,[20][21][22] fat/water MRI, 18,19,25 arterial spin labeling (ASL) MRI 26 and others.…”
Section: Introductionmentioning
confidence: 99%
“…Similarly, Bloch simulations were used to generate training signal curves with T 1 values ranging from 100 ms to 3000 ms and T 2 values ranging from 10 ms to 300 ms for T 1 experiments as described in [19]. We always retained 4 principal components across all the experiments [17][18][19]39]. In summary, given the subspace basis F K (K = 4) and the undersampled k-space data k, the input image M i to the network was obtained using (combining Eq.…”
Section: Network Training and Testing Frameworkmentioning
confidence: 99%
“…to minimize the CRLB, similar to methods discussed above. Figure 10 shows an example of optimizing the RF flip angles in an FSE experiment given RF power constraints [28]. The objective function maximized the component in the Fisher Information matrix corresponding to the variance with respect to T 2 estimation.…”
Section: A Optimizing Sequence Parametersmentioning
confidence: 99%