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  Rapid estimation of cartilage T2 with reduced T1 sensitivity using double echo steady state imaging

Heule, R., Ganter, C., & Bieri, O. (2014). Rapid estimation of cartilage T2 with reduced T1 sensitivity using double echo steady state imaging. Magnetic Resonance in Medicine, 71(3), 1137-1143. doi:10.1002/mrm.24748.

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 Creators:
Heule, R1, Author           
Ganter, C, Author
Bieri, O, Author
Affiliations:
1University of Basel Hospital, ou_persistent22              

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 Abstract: Purpose
In principle, double echo steady state (DESS) offers morphological and quantitative T2 imaging of cartilage within one single scan. However, accurate T2 estimation is hampered by its prominent T1 dependency in the limit of low flip angles, generally used to image cartilage morphology, as for the osteoarthritis initiative. A new postprocessing approach is introduced to overcome this T1‐related bias for rapid DESS‐based T2 quantification in the low flip angle regime.
Methods
Based on a rough global T1 estimator and a golden section search, T2 is extracted from the ratio of the two echoes acquired with DESS. The new relaxometry method is evaluated from simulations and in vivo 3D measurements of the knee joint at 3T.
Results
A pronounced reduction in the T1‐related bias of DESS‐T2 estimation and increased zonal variation in T2 between deep and superficial cartilage layers are observed. The improvement becomes particularly evident in the range of low flip angles (α < 45°), commonly used for morphological DESS imaging.
Conclusion
Using a simple global T1 estimate, the reliability of DESS‐T2 quantification can be considerably increased. The results emphasize the potential of DESS to fuse accurate quantitative T2 and morphological imaging of the musculoskeletal system within one single scan.

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 Dates: 2014-03
 Publication Status: Issued
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 Identifiers: DOI: 10.1002/mrm.24748
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Title: Magnetic Resonance in Medicine
Source Genre: Journal
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Publ. Info: New York : Wiley-Liss
Pages: - Volume / Issue: 71 (3) Sequence Number: - Start / End Page: 1137 - 1143 Identifier: ISSN: 0740-3194
CoNE: https://pure.mpg.de/cone/journals/resource/954925538149