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Simultaneous high‐resolution T 2 ‐weighted imaging and quantitative T 2 mapping at low magnetic field strengths using a multiple TE and multi‐orientation acquisition approach
Author(s) -
Deoni Sean C. L.,
O'Muircheartaigh Jonathan,
Ljungberg Emil,
Huentelman Mathew,
Williams Steven C. R.
Publication year - 2022
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.29273
Subject(s) - orientation (vector space) , imaging phantom , voxel , computer science , image resolution , resolution (logic) , visualization , isotropy , artificial intelligence , intraclass correlation , image quality , computer vision , nuclear magnetic resonance , pattern recognition (psychology) , physics , mathematics , reproducibility , optics , image (mathematics) , statistics , geometry
Purpose Low magnetic field systems provide an important opportunity to expand MRI to new and diverse clinical and research study populations. However, a fundamental limitation of low field strength systems is the reduced SNR compared to 1.5 or 3T, necessitating compromises in spatial resolution and imaging time. Most often, images are acquired with anisotropic voxels with low through‐plane resolution, which provide acceptable image quality with reasonable scan times, but can impair visualization of subtle pathology. Methods Here, we describe a super‐resolution approach to reconstruct high‐resolution isotropic T 2 ‐weighted images from a series of low‐resolution anisotropic images acquired in orthogonal orientations. Furthermore, acquiring each image with an incremented TE allows calculations of quantitative T 2 images without time penalty. Results Our approach is demonstrated via phantom and in vivo human brain imaging, with simultaneous 1.5 × 1.5 × 1.5 mm 3 T 2 ‐weighted and quantitative T 2 maps acquired using a clinically feasible approach that combines three acquisition that require approximately 4‐min each to collect. Calculated T 2 values agree with reference multiple TE measures with intraclass correlation values of 0.96 and 0.85 in phantom and in vivo measures, respectively, in line with previously reported brain T 2 values at 150 mT, 1.5T, and 3T. Conclusion Our multi‐orientation and multi‐TE approach is a time‐efficient method for high‐resolution T 2 ‐weighted images for anatomical visualization with simultaneous quantitative T 2 imaging for increased sensitivity to tissue microstructure and chemical composition.