TY - JOUR
T1 - DQF-MT MRI of connective tissues
T2 - Application to tendon and muscle
AU - Kusmia, Slawomir
AU - Eliav, Uzi
AU - Navon, Gil
AU - Guillot, Geneviève
N1 - Funding Information:
Acknowledgments This study was supported by a grant from the High Council for Scientific and Technological Cooperation between France and Israel, program in Medical and Biological Imaging, and the Israel Ministry of Science and Technology No. 3-6446. S. Kusmia has benefited from a postdoctoral position from Centre National de la Recherche Scientifique (France). We wish to thank Rose-Marie Dubuisson for her contribution in programming the clinical scanner, Jean-Franc¸ois Giovannelli for the regridding code, and Jean-Marie Bonny and Anne Leroy-Willig for related discussions.
PY - 2013/4
Y1 - 2013/4
N2 - Object: The sequence combining DQF (double quantum filtering) with magnetisation transfer (DQF-MT) was tested as an alternative to the DQF sequence for characterising tendon and muscle by MR imaging. Materials and methods: DQF-MT images of tendon-muscle phantoms were obtained at 4.7 T using ultra-short time to echo (UTE) methods in order to alleviate the loss of SNR due to the short T2 of the tissues. Two different sampling schemes of the k-space, Cartesian or radial, were employed. In vivo images of the human ankle on a clinical 1.5 T scanner are also presented. Parameters providing optimal tendon signal as well as optimal contrast between this tissue and muscle were determined. Results: Two sets of parameters resulting in different contrasts between the tissues were found. For the first set (short creation time τ = 10 μs and magnetisation exchange time t LM = 100 ms), DQF-MT signals in muscle and tendon were detected, with that of the tendon being the larger one. For the second set (long creation time τ = 750 μs and magnetisation exchange time 10 μs < t LM < 100 ms), the DQF-MT signal was detected only in the tendon, and the decay of the double quantum coherence was slower than that observed for the first one, which allowed us to acquire DQF-MT MR images on a clinical 1.5 T MR scanner with minimal software interventions. In favourable conditions, the DQF-MT signal in the tendon could represent up to 10 % of the single-quantum signal. Conclusion: Dipolar interaction within macromolecules such as collagen and myosin is at the origin of the DQF-MT signal observed in the first parameter set. This should enable the detection of muscle fibrosis.
AB - Object: The sequence combining DQF (double quantum filtering) with magnetisation transfer (DQF-MT) was tested as an alternative to the DQF sequence for characterising tendon and muscle by MR imaging. Materials and methods: DQF-MT images of tendon-muscle phantoms were obtained at 4.7 T using ultra-short time to echo (UTE) methods in order to alleviate the loss of SNR due to the short T2 of the tissues. Two different sampling schemes of the k-space, Cartesian or radial, were employed. In vivo images of the human ankle on a clinical 1.5 T scanner are also presented. Parameters providing optimal tendon signal as well as optimal contrast between this tissue and muscle were determined. Results: Two sets of parameters resulting in different contrasts between the tissues were found. For the first set (short creation time τ = 10 μs and magnetisation exchange time t LM = 100 ms), DQF-MT signals in muscle and tendon were detected, with that of the tendon being the larger one. For the second set (long creation time τ = 750 μs and magnetisation exchange time 10 μs < t LM < 100 ms), the DQF-MT signal was detected only in the tendon, and the decay of the double quantum coherence was slower than that observed for the first one, which allowed us to acquire DQF-MT MR images on a clinical 1.5 T MR scanner with minimal software interventions. In favourable conditions, the DQF-MT signal in the tendon could represent up to 10 % of the single-quantum signal. Conclusion: Dipolar interaction within macromolecules such as collagen and myosin is at the origin of the DQF-MT signal observed in the first parameter set. This should enable the detection of muscle fibrosis.
KW - Contrast optimisation
KW - DQF-MT MRI
KW - Muscle
KW - Tendon
KW - UTE
UR - http://www.scopus.com/inward/record.url?scp=84880703916&partnerID=8YFLogxK
U2 - 10.1007/s10334-012-0346-3
DO - 10.1007/s10334-012-0346-3
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C2 - 23001199
AN - SCOPUS:84880703916
SN - 0968-5243
VL - 26
SP - 203
EP - 214
JO - Magnetic Resonance Materials in Physics, Biology, and Medicine
JF - Magnetic Resonance Materials in Physics, Biology, and Medicine
IS - 2
ER -