Thomas M. Fiedler1
1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
Synopsis
Keywords: Physics & Engineering: RF Safety
The introduction of multi-channel
parallel transmit (pTx) systems to mitigate RF inhomogeneities in UHF-MRI has
significantly increased the safety management complexity and SAR prediction
concepts has to be extended to satisfy the new requirements. In pTx systems, the
resulting SAR distribution depends on the particular RF pulses (time-dependent
amplitude and phase) used in the sequence.
This lecture will focus on RF safety in
pTx systems and give an overview of: RF monitoring techniques, SAR supervision
using Q-matrices and VOPs, safety factors and validation techniques.
Abstract
The
introduction of multi-channel parallel transmit (pTx) systems to mitigate the
RF inhomogeneity problem in ultra-high field MRI has significantly increased
safety management complexity, and SAR prediction concepts have to be extended
to satisfy the new requirements.
In
single-channel transmit systems, the power deposited at a given location scales
directly with the total applied power. The absorbed RF energy can be assessed
via directional couplers (
Pforward
–
Preflected) and,
together with the exposed body mass, related to a global SAR aspect (e.g.
whole-body). Via numerical simulations, a proportionality factor (
k-factor) can
be determined between local SAR and applied power, thereby enabling local SAR
control.
In pTx
systems, the total electric field at a given location is the linear
superposition of the individual E-fields
driven by the independent transmit channels. Thus, the resulting SAR
distribution depends on the particular RF pulses (time-dependent amplitude and
phase) used in the sequence. Again, measurements of the forward and reflected
powers on each channel allows for a subject-based assessment of global SAR
aspects, but local SAR assessment is more complex. According to the IEC norm, RF
transmit coils with multiple channels can have attributes of both local and volume
transmit coils. The appropriate control of SAR depends on the use of the coil.
The
Q-matrix
approach separates the spatial and temporal dependencies, resulting in a
quadratic form for SAR calculation: SAR(
r,
t) =
u'(
t)*
Q(
r)*
u(
t). This
formalism yields one
Q-matrix for each voxel in a simulated body model. The
number of Q-matrices for local SAR (>10
6) can be compressed to
return Virtual Observation Points (VOPs). This reduced set of VOP matrices
drastically eases their incorporation into pulse design algorithms as well as
enables real-time SAR supervision based on measured waveforms. The cost of
compression is that a certain amount of SAR overestimation must be accepted.
Safety
factors account for uncertainties in the monitoring hardware, for anatomical
variability, and for modelling errors in the numerical simulation model. Since
safety factors for modelling errors rely on the accuracy of the numerical
simulations, validation techniques evaluate the error in simulation models. Validation
measurements can be performed in the scanner or on the workbench. Validation
techniques using the MR imaging system considering a similar setup to the in-vivo
situation.
Content:
This educational session will give an introduction to SAR
control during MRI exams, with a focus on multi-channel transmit systems, and
give an overview of validation techniques.
SAR in
single-channel systems- Global and
local SAR calculations
SAR in
multi-channel (pTx) systems - Generalised
SAR models, Q-matrix formulism
- Virtual
Observation Points (VOP) algorithms
- SAR-constrained
RF pulse design
Validation
methods- B1+
mapping
- Thermometry
- S-Parameter
- Direct E- and
H-field mapping
-
Direct
temperature measurements
Acknowledgements
No acknowledgement found.References
IEC 60601-2-33 Medical electrical equipment – Part
2-33: Particular requirements for the basic safety and essential performance of
magnetic resonance equipment for medical diagnosis, Ed. 4.0 (2022).
ISMRM: Best Practices for Safety Testing of
Experimental RF Hardware (2022), DOI: 10.7939/r3-7vpe-x737.
Fiedler, Ladd, Bitz 2018, SAR Simulations and Safety,
Neuroimage, DOI:
10.1016/j.neuroimage.2017.03.035.