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Fast myocardial T 1 mapping using cardiac motion correction
Author(s) -
Becker Kirsten M.,
Blaszczyk Edyta,
Funk Stephanie,
Nuesslein André,
SchulzMenger Jeanette,
Schaeffter Tobias,
Kolbitsch Christoph
Publication year - 2020
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.27935
Subject(s) - cardiac cycle , contrast (vision) , nuclear medicine , medicine , image resolution , cardiac imaging , motion (physics) , artificial intelligence , computer vision , computer science , radiology , cardiology
Purpose To improve the efficiency of native and postcontrast high‐resolution cardiac T 1 mapping by utilizing cardiac motion correction. Methods Common cardiac T 1 mapping techniques only acquire data in a small part of the cardiac cycle, leading to inefficient data sampling. Here, we present an approach in which 80% of each cardiac cycle is used for T 1 mapping by integration of cardiac motion correction. Golden angle radial data was acquired continuously for 8 s with in‐plane resolution of 1.3 × 1.3 mm 2 . Cine images were reconstructed for nonrigid cardiac motion estimation. Images at different TIs were reconstructed from the same data, and motion correction was performed prior to T 1 mapping. Native T 1 mapping was evaluated in healthy subjects. Furthermore, the technique was applied for postcontrast T 1 mapping in 5 patients with suspected fibrosis. Results Cine images with high contrast were obtained, leading to robust cardiac motion estimation. Motion‐corrected T 1 maps showed myocardial T 1 times similar to cardiac‐triggered T 1 maps obtained from the same data (1288 ± 49 ms and 1259 ± 55 ms, respectively) but with a 34% improved precision (spatial variation: 57.0 ± 12.5 ms and 94.8 ± 15.4 ms, respectively, P < 0.0001) due to the increased amount of data. In postcontrast T 1 maps, focal fibrosis could be confirmed with late contrast‐enhancement images. Conclusion The proposed approach provides high‐resolution T 1 maps within 8 s. Data acquisition efficiency for T 1 mapping was improved by a factor of 5 by integration of cardiac motion correction, resulting in precise T 1 maps.