Manushka V. Vaidya1,2,3, Daniel K. Sodickson1,2,3, Christopher M. Collins1,2,3, and Riccardo Lattanzi1,2,3
1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, United States, 2Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States, 3Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, United States
Synopsis
We
show that the ideal surface current patterns maximizing internal signal-to-noise
ratio (SNR) are composed of a) signal-optimizing
current patterns which maximize the signal sensitivity without considering
sample noise, and b) “dark mode” current patterns which minimize sample noise without
affecting signal. For a central voxel in a spherical sample, the absence of
dark mode current patterns on an encircling sphere suggests that optimally
tracking the precessing spin while ignoring sample noise is sufficient to
achieve the best possible SNR. For an off-center voxel, however, the dark mode
current patterns form high magnitude localized currents that efficiently
minimize sample noise.
PURPOSE
To evaluate different contributions of current
modes comprising ideal current patterns resulting in optimal signal-to-noise
ratio (SNR) at different locations in a spherical sample. Signal-only optimal
current patterns (OP patterns) efficiently track a precessing spin, using the
least possible current to maximize signal sensitivity at the voxel of interest (1). Whereas the OP patterns
are calculated by ignoring sample noise (2,3), ideal current patterns simultaneously
minimize sample noise to achieve the ultimate intrinsic signal-to-noise ratio
(UISNR) (4). By comparing the two current patterns, we can
separate the effect of optimizing for signal only or for SNR at a particular
voxel. To investigate how the ideal current patterns specifically minimize
sample noise, we study the dark mode current patterns, which are found by
subtracting the OP patterns from the full SNR-optimizing ideal current
patterns.METHODS
An in-house analytical simulation framework
based on dyadic Green’s functions (DGF) (4) was used to calculate all current patterns and corresponding
fields for two voxels in a uniform spherical sample at the proton Larmor
frequency corresponding to 1 T and 7 T (Fig 1). To optimally combine the basis
set of current modes to obtain the UISNR, the weights for the ideal current
patterns (WICP) were
calculated as follows (4): $$$W_{ICP}=\left(S^{H}\psi_{mode}^{-1}S\right)^{-1}S^{H}\psi_{mode}^{-1}$$$where S
is the sensitivity matrix and ψmode
is the noise correlation matrix of the modes. The weights for the OP
patterns (WOP) were
calculated by setting the noise correlation matrix in the above equation to a
multiple of the identity, thus ignoring sample noise in the optimization, while
penalizing any added currents (and associated conductor noise). The dark mode weights
(WDM), which corresponded
to zero signal sensitivity, were obtained as follows: $$$W_{DM}=W_{ICP}-W_{OP}$$$. The electric (E) field and the signal
sensitivity (B1(-))
corresponding to each set of current patterns were calculated by weighting the
ultimate basis set of E fields and B1(-) fields associated with each current
mode. Sample noise was calculated as the square root of $$$\int\sigma E\cdot E^{\star}dv=W\psi_{mode}W^{H}$$$ . A mode expansion of order lmax = 45 was used to ensure convergence of the field
calculations. RESULTS AND DISCUSSION
For all cases, the B1(-) associated with the ideal current
patterns and the OP patterns was equal to one for the voxel of interest. The B1(-) corresponding
to the dark mode current patterns was equal to zero, which validated that the
dark mode current patterns are not sensitive to signal at the voxel of
interest. For a central voxel, ideal current patterns and OP patterns were
equivalent, and formed two distributed loops that rotated around the sphere at
the Larmor frequency (Fig 2: A, B, D, E). The rotational phase delay of the
current patterns between the two field strengths was likely due to increased
propagation delay from the center to the surface at 7 T (Fig 2: A vs. D). The
dark mode current patterns (Fig 2: C, F), and the corresponding E
field and sample noise (Fig 3: C, F), were essentially absent for a central
voxel, which indicated that no noise minimization occurred. Since only one
basis mode contributes to the signal sensitivity at the center of a spherical sample
(5), our result suggested that
the only optimization possible to obtain the UISNR is to closely track the
precessing spin for efficient signal reception.
This is a straightforward manifestation of the Optimality Principle
recently identified as an intuitive means of deriving ideal current patterns (1). For an off-center voxel,
the ideal current patterns and dark mode current patterns formed a distributed
figure-eight and loop with high magnitude currents localized near the position
of the voxel (Fig 4). The magnitude of the OP patterns in this case was
notably less than that of the ideal current patterns and the dark mode current
patterns (Fig 4: B, G vs. A, F and C, H), which achieve E field and sample noise
reduction as compared to the signal-only case (Fig 5) via localized higher
magnitude currents near the voxel of interest. CONCLUSIONS
The absence of dark mode current patterns for a
central voxel in a uniform spherical sample suggests that the UISNR can be achieved with current
patterns that simply track the precessing spin and ignore sample noise. For an
off-center voxel, maximizing signal sensitivity alone is not sufficient. As
seen in the dark mode current patterns, high magnitude currents localized near
the voxel are required to minimize sample noise sensitivity and thereby to achieve
the UISNR. Acknowledgements
This work was supported by the Center for
Advanced Imaging Innovation and Research (www.cai2r.net), a NIBIB Biomedical
Technology Resource Center (NIH P41 EB017183).References
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