Rapid estimation of cartilage T2 based on double echo at steady state (DESS) with 3 Tesla

Welsch, GH; Scheffler, K; Mamisch, TC; Hughes, T; Millington, S; Deimling, M; Trattnig, S (2009). Rapid estimation of cartilage T2 based on double echo at steady state (DESS) with 3 Tesla. Magnetic resonance in medicine, 62(2), pp. 544-9. New York, N.Y.: Wiley-Liss 10.1002/mrm.22036

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The double-echo-steady-state (DESS) sequence generates two signal echoes that are characterized by a different contrast behavior. Based on these two contrasts, the underlying T2 can be calculated. For a flip-angle of 90 degrees , the calculated T2 becomes independent of T1, but with very low signal-to-noise ratio. In the present study, the estimation of cartilage T2, based on DESS with a reduced flip-angle, was investigated, with the goal of optimizing SNR, and simultaneously minimizing the error in T2. This approach was validated in phantoms and on volunteers. T2 estimations based on DESS at different flip-angles were compared with standard multiecho, spin-echo T2. Furthermore, DESS-T2 estimations were used in a volunteer and in an initial study on patients after cartilage repair of the knee. A flip-angle of 33 degrees was the best compromise for the combination of DESS-T2 mapping and morphological imaging. For this flip angle, the Pearson correlation was 0.993 in the phantom study (approximately 20% relative difference between SE-T2 and DESS-T2); and varied between 0.429 and 0.514 in the volunteer study. Measurements in patients showed comparable results for both techniques with regard to zonal assessment. This DESS-T2 approach represents an opportunity to combine morphological and quantitative cartilage MRI in a rapid one-step examination.

Item Type:	Journal Article (Original Article)
Division/Institute:	04 Faculty of Medicine > Department of Orthopaedic, Plastic and Hand Surgery (DOPH) > Clinic of Orthopaedic Surgery
UniBE Contributor:	Mamisch, Tallal Charles
ISSN:	0740-3194
ISBN:	19526515
Publisher:	Wiley-Liss
Language:	English
Submitter:	Factscience Import
Date Deposited:	04 Oct 2013 15:09
Last Modified:	05 Dec 2022 14:21
Publisher DOI:	10.1002/mrm.22036
PubMed ID:	19526515
Web of Science ID:	000268432400031
URI:	https://boris.unibe.ch/id/eprint/30363 (FactScience: 192939)