Abstract #1050

Bias field correction for T1 mapping using phase-cycled bSSFP

Nils Plähn^1,2,3, Yasaman Safarkhanlo^2,3,4, Eva Pepper^1,2, Berk Açikgöz^1,2,3, Adèle Mackowiak^1,2,5, Gabriele Bonanno^2,6,7, Rahel Heule^8,9,10, and Jessica Bastiaansen^1,2

¹Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland, ²Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland, ³Graduate School for Cellular and Biomedical Sciences (GCB), University of Bern, Bern, Switzerland, ⁴Department of Cardiology, Inselspital, University Hospital Bern, Bern, Switzerland, ⁵Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, ⁶Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Bern, Switzerland, ⁷University Institute of Diagnostic and Interventional Neuroradiology, Bern, Switzerland, ⁸Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany, ⁹Center for MR Research, University Children's Hospital, Bern, Switzerland, ¹⁰High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany

Synopsis

Keywords: Data Processing, Data Analysis

Motivation: T1 quantification can be biased by transmit field inhomogeneities.

Goal(s): To test whether a biasfree T1 quantification can be derived with phase-cycled bSSFP, without requiring additional field maps.

Approach: The T1 distribution of white and gray matter in the brain was used to correct for the compound effects of biases affecting T1. Phase-cycled bSSFP and reference T1 and B₁⁺ map acquisitions were performed in the brain of healthy subjects.

Results: T1 histograms became more consistent when compared with those obtained by reference sequences. The bias-corrected T1 maps of the brain showed increased homogeneity, while not affecting anatomical details.

Impact: Inaccuracies in T1 quantification from multiple bias sources, such as transmit field inhomogeneities or magnetization transfer may be removed simultaneously by utilizing the known T1 distribution of brain tissues. This ultimately may enable more objective tissue characterization.

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