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Published on: June 9, 2016
Magnetization transfer in magnetic resonance fingerprinting
Tom Hilbert1,2,3, Ding Xia4,5, Kai Tobias Block4,5,6
1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.
Magnetization transfer (MT) significantly impacts magnetic resonance fingerprinting (MRF) T1 and T2 quantification. Incorporating MT effects into MRF models improves accuracy and enables fractional pool size measurement.
Area of Science:
- Biophysics
- Medical Imaging
Background:
- Magnetic Resonance Fingerprinting (MRF) is a quantitative imaging technique.
- Magnetization Transfer (MT) describes the interaction between semi-solid and free spin pools.
- Understanding MT effects is crucial for accurate MRF relaxometry.
Purpose of the Study:
- To investigate the influence of Magnetization Transfer (MT) on Magnetic Resonance Fingerprinting (MRF) signals.
- To develop and validate an MRF method incorporating MT effects for improved T1 and T2 quantification.
- To assess the feasibility of estimating fractional pool size using MT-aware MRF in the human brain.
Main Methods:
- Simulations and phantom experiments were conducted to assess MT impact on MRF signals.
- An MRF sequence with off-resonance MT pulses was implemented.
- A two-pool model was used to generate an MT-dimension dictionary for parameter estimation.
- The method was evaluated in vivo on the human brain.
Main Results:
- MT was shown to influence MRF signals in phantom studies, with MT-aware models yielding better signal matching.
- Off-resonance MT pulses enhanced the differentiation of MT from T1 and T2 effects.
- In vivo, MT was quantified in white matter (~16%) and gray matter (~10%).
- Accounting for MT led to longer T1 (~1060 ms vs. ~860 ms) and T2 (~47 ms vs. ~35 ms) values in white matter.
Conclusions:
- Magnetization transfer effects can significantly influence T1 and T2 quantification in MRF.
- An MRF model incorporating MT effects improves the accuracy of relaxation parameter estimation.
- This approach allows for the simultaneous quantification of relaxation times and fractional pool size.
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