Free‐breathing, fat‐corrected T1 mapping of the liver with stack‐of‐stars MRI, and joint estimation of T1, PDFF, R2*, and B1+

Author:

Muslu Yavuz12ORCID,Tamada Daiki2ORCID,Roberts Nathan T.3ORCID,Cashen Ty A.3ORCID,Mandava Sagar3ORCID,Kecskemeti Steven R.4ORCID,Hernando Diego1256ORCID,Reeder Scott B.12678ORCID

Affiliation:

1. Department of Biomedical Engineering University of Wisconsin‐Madison Madison Wisconsin USA

2. Department of Radiology University of Wisconsin‐Madison Madison Wisconsin USA

3. GE HealthCare Waukesha Wisconsin USA

4. Waisman Center, University of Wisconsin‐Madison Madison Wisconsin USA

5. Department of Electrical and Computer Engineering University of Wisconsin‐Madison Madison Wisconsin USA

6. Department of Medical Physics University of Wisconsin‐Madison Madison Wisconsin USA

7. Department of Medicine University of Wisconsin‐Madison Madison Wisconsin USA

8. Department of Emergency Medicine University of Wisconsin‐Madison Madison Wisconsin USA

Abstract

AbstractPurposeQuantitative T1 mapping has the potential to replace biopsy for noninvasive diagnosis and quantitative staging of chronic liver disease. Conventional T1 mapping methods are confounded by fat and inhomogeneities, resulting in unreliable T1 estimations. Furthermore, these methods trade off spatial resolution and volumetric coverage for shorter acquisitions with only a few images obtained within a breath‐hold. This work proposes a novel, volumetric (3D), free‐breathing T1 mapping method to account for multiple confounding factors in a single acquisition.Theory and MethodsFree‐breathing, confounder‐corrected T1 mapping was achieved through the combination of non‐Cartesian imaging, magnetization preparation, chemical shift encoding, and a variable flip angle acquisition. A subspace‐constrained, locally low‐rank image reconstruction algorithm was employed for image reconstruction. The accuracy of the proposed method was evaluated through numerical simulations and phantom experiments with a T1/proton density fat fraction phantom at 3.0 T. Further, the feasibility of the proposed method was investigated through contrast‐enhanced imaging in healthy volunteers, also at 3.0 T.ResultsThe method showed excellent agreement with reference measurements in phantoms across a wide range of T1 values (200 to 1000 ms, slope = 0.998 (95% confidence interval (CI) [0.963 to 1.035]), intercept = 27.1 ms (95% CI [0.4 54.6]), r2 = 0.996), and a high level of repeatability. In vivo imaging studies demonstrated moderate agreement (slope = 1.099 (95% CI [1.067 to 1.132]), intercept = −96.3 ms (95% CI [−82.1 to −110.5]), r2 = 0.981) compared to saturation recovery‐based T1 maps.ConclusionThe proposed method produces whole‐liver, confounder‐corrected T1 maps through simultaneous estimation of T1, proton density fat fraction, and in a single, free‐breathing acquisition and has excellent agreement with reference measurements in phantoms.

Funder

National Institutes of Health

Bayer Diabetes Care

Publisher

Wiley

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