Magnetization transfer in magnetic resonance fingerprinting.
Details
Serval ID
serval:BIB_461D4582047F
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Magnetization transfer in magnetic resonance fingerprinting.
Journal
Magnetic resonance in medicine
ISSN
1522-2594 (Electronic)
ISSN-L
0740-3194
Publication state
Published
Issued date
07/2020
Peer-reviewed
Oui
Volume
84
Number
1
Pages
128-141
Language
english
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural
Publication Status: ppublish
Publication Status: ppublish
Abstract
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).
Simulations and phantom experiments were performed to study the impact of MT on the MRF signal and its potential influence on T <sub>1</sub> and T <sub>2</sub> 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 , T <sub>1</sub> , and T <sub>2</sub> values. The proposed method was evaluated in the human brain.
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 T <sub>1</sub> and T <sub>2</sub> . 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 T <sub>1</sub> (~1060 ms vs. ~860 ms) and T <sub>2</sub> values (~47 ms vs. ~35 ms) can be observed in white matter if MT is accounted for.
Our experiments demonstrated a potential influence of MT on the quantification of T <sub>1</sub> and T <sub>2</sub> with MRF. A model that encompasses MT effects can improve the accuracy of estimated relaxation parameters and allows quantification of the fractional pool size.
Simulations and phantom experiments were performed to study the impact of MT on the MRF signal and its potential influence on T <sub>1</sub> and T <sub>2</sub> 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 , T <sub>1</sub> , and T <sub>2</sub> values. The proposed method was evaluated in the human brain.
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 T <sub>1</sub> and T <sub>2</sub> . 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 T <sub>1</sub> (~1060 ms vs. ~860 ms) and T <sub>2</sub> values (~47 ms vs. ~35 ms) can be observed in white matter if MT is accounted for.
Our experiments demonstrated a potential influence of MT on the quantification of T <sub>1</sub> and T <sub>2</sub> with MRF. A model that encompasses MT effects can improve the accuracy of estimated relaxation parameters and allows quantification of the fractional pool size.
Keywords
Animals, Brain/diagnostic imaging, Cattle, Humans, Magnetic Resonance Imaging, Magnetic Resonance Spectroscopy, Phantoms, Imaging, Reproducibility of Results, fingerprinting, magnetization transfer, quantitative imaging, relaxation
Pubmed
Web of science
Create date
16/12/2019 18:36
Last modification date
06/04/2024 7:24