Spherical echo‐planar time‐resolved imaging (sEPTI) for rapid 3D quantitative T2* and susceptibility imaging

Author:

Wang Nan1ORCID,Liao Congyu12ORCID,Cao Xiaozhi12ORCID,Nishimura Mark2,Brackenier Yannick W. E.1ORCID,Yurt Mahmut2,Gao Mengze1,Abraham Daniel2,Alkan Cagan2,Iyer Siddharth Srinivasan13ORCID,Zhou Zihan1,Jeong Hwihun4ORCID,Kerr Adam25,Haldar Justin P.6ORCID,Setsompop Kawin12

Affiliation:

1. Department of Radiology Stanford University Stanford California USA

2. Department of Electrical Engineering Stanford University Stanford California USA

3. Department of Electrical Engineering and Computer Science, MIT Cambridge Massachusetts USA

4. Seoul National University Seoul South Korea

5. Cognitive and Neurobiological Imaging Center Stanford University Stanford California USA

6. Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los Angeles California USA

Abstract

AbstractPurposeTo develop a 3D spherical EPTI (sEPTI) acquisition and a comprehensive reconstruction pipeline for rapid high‐quality whole‐brain submillimeter and QSM quantification.MethodsFor the sEPTI acquisition, spherical k‐space coverage is utilized with variable echo‐spacing and maximum kx ramp‐sampling to improve efficiency and signal incoherency compared to existing EPTI approaches. For reconstruction, an iterative rank‐shrinking B0 estimation and odd‐even high‐order phase correction algorithms were incorporated into the reconstruction to better mitigate artifacts from field imperfections. A physics‐informed unrolled network was utilized to boost the SNR, where 1‐mm and 0.75‐mm isotropic whole‐brain imaging were performed in 45 and 90 s at 3 T, respectively. These protocols were validated through simulations, phantom, and in vivo experiments. Ten healthy subjects were recruited to provide sufficient data for the unrolled network. The entire pipeline was validated on additional five healthy subjects where different EPTI sampling approaches were compared. Two additional pediatric patients with epilepsy were recruited to demonstrate the generalizability of the unrolled reconstruction.ResultssEPTI achieved 1.4 faster imaging with improved image quality and quantitative map precision compared to existing EPTI approaches. The B0 update and the phase correction provide improved reconstruction performance with lower artifacts. The unrolled network boosted the SNR, achieving high‐quality and QSM quantification with single average data. High‐quality reconstruction was also obtained in the pediatric patients using this network.ConclusionsEPTI achieved whole‐brain distortion‐free multi‐echo imaging and and QSM quantification at 0.75 mm in 90 s which has the potential to be useful for wide clinical applications.

Funder

Foundation for the National Institutes of Health

Publisher

Wiley

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