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Magnetization transfer in magnetic resonance fingerprinting.
Hilbert, Tom; Xia, Ding; Block, Kai Tobias; Yu, Zidan; Lattanzi, Riccardo; Sodickson, Daniel K; Kober, Tobias; Cloos, Martijn A.
Affiliation
  • Hilbert T; Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.
  • Xia D; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
  • Block KT; LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
  • Yu Z; Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York.
  • Lattanzi R; Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York.
  • Sodickson DK; Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York.
  • Kober T; Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York.
  • Cloos MA; Department of Radiology, University Hospital Basel, Basel, Switzerland.
Magn Reson Med ; 84(1): 128-141, 2020 07.
Article in En | MEDLINE | ID: mdl-31762101
ABSTRACT

PURPOSE:

To study the effects of magnetization transfer (MT, in which a semi-solid spin pool interacts with the free pool), in the context of magnetic resonance fingerprinting (MRF).

METHODS:

Simulations and phantom experiments were performed to study the impact of MT on the MRF signal and its potential influence on T1 and T2 estimation. Subsequently, an MRF sequence implementing off-resonance MT pulses and a dictionary with an MT dimension, generated by incorporating a two-pool model, were used to estimate the fractional pool size in addition to the B1+ , T1 , and T2 values. The proposed method was evaluated in the human brain.

RESULTS:

Simulations and phantom experiments showed that an MRF signal obtained from a cross-linked bovine serum sample is influenced by MT. Using a dictionary based on an MT model, a better match between simulations and acquired MR signals can be obtained (NRMSE 1.3% vs. 4.7%). Adding off-resonance MT pulses can improve the differentiation of MT from T1 and T2 . In vivo results showed that MT affects the MRF signals from white matter (fractional pool-size ~16%) and gray matter (fractional pool-size ~10%). Furthermore, longer T1 (~1060 ms vs. ~860 ms) and T2 values (~47 ms vs. ~35 ms) can be observed in white matter if MT is accounted for.

CONCLUSION:

Our experiments demonstrated a potential influence of MT on the quantification of T1 and T2 with MRF. A model that encompasses MT effects can improve the accuracy of estimated relaxation parameters and allows quantification of the fractional pool size.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Magnetic Resonance Imaging Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2020 Type: Article Affiliation country: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Magnetic Resonance Imaging Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2020 Type: Article Affiliation country: Switzerland