Iman Khodarahmi1, Mahesh B Keerthivasan2, and Jan Fritz1
1Radiology, New York University School of Medicine, New York, NY, United States, 2Siemens Medical Solutions USA Inc, Malvern, PA, United States
Synopsis
A robust B1+ mapping technique in
the presence of metallic hardware is still unavailable. Our proposed B1+ quantification
technique relies on turbo-spin echo or SEMAC acquisitions to decrease
metal-related susceptibility artifacts while resolving B1+ values from signal
variations at various sets of excitation and refocusing flip angles. Apriori
knowledge of signal evolution is obtained by simulating the Bloch equations at
each B1+ value.
Phantom validation showed promising results, particularly at areas close to the
metal surface, which are invisible with other mapping techniques.
Introduction
Inhomogeneity of
the transmit B1+
field causes spatial variation of flip angles (FA). Mapping of such spatial
distribution has applications in B1-shimming, quantitative MRI, and
transmit coil quality control. The majority of available B1+ mapping techniques utilize
gradient-echo imaging and, hence, will fail in the presence of metallic
implants due to susceptibility-induced phase distortions. In addition,
successful B1+
mapping near metallic implants requires the incorporation of advanced
techniques such as slice encoding for metal artifact correction (SEMAC) (1) to reduce B0 artifacts. A previously proposed
technique combined SEMAC and dual-angle methods (DAM) to estimate B1+ in the presence of
metal (2); however, the contribution of stimulated echoes in a turbo-spin echo (TSE)
acquisition, which is not accounted for with DAM, may negatively affect the
outcomes. In this work, we present a new TSE-based method of B1+ quantification near
metallic implants, which can be combined with SEMAC.Theory
B1+ field variations
affect a TSE pulse sequence by proportionally scaling the excitation and
refocusing (Ex-Ref) radiofrequency (RF) pulse flip angles. In the presence of a
B1+ scale
factor of b1 (b1
= actual B1+
/ nominal B1+),
the signal intensity can be expressed as: $$$S(b_1) = f(b_1.\theta(z), b_1.\phi(z))$$$, where θ(z) and φ(z) represent Ex-Ref RF profiles,
respectively, and f(.) is the slice-resolved Bloch model. For
different sets of Ex-Ref FA, b1 can be obtained by solving the following optimization problem: $$b_1 = arg min_{b_1} \sum_i^N||\int_{z} f(b_1.\theta_i(z), b_1.\phi_i(z))-I(\theta_i,\phi_i)||_2^2$$
with $$$I(\theta_i,\phi_i)$$$ being the pixel signal intensity obtained by the ith set of Ex-Ref FA.Methods
Simulations:
The magnetization evolution for different Ex-Ref FA during TSE acquisitions was modeled by simulating the spatiotemporal
propagation of spins according to Bloch equations (3). The exact pulse sequence
scheme and parameters were used to simulate the signal evaluation while slice
profiles were resolved by solving the Bloch equations. A database of the signal
intensity for various sets of Ex-Ref
FA and b1 was generated.
Model validation:
The model accuracy for different sets of Ex-Ref FA (n = 8) was tested on a clinical 3T MRI system (MAGNETOM Prisma; Siemens Healthcare GmbH,
Erlangen, Germany) by placing
a gel containing cylindrical tube at the iso-center of the magnet. Iso-center
placement of the tube and its small diameter ensured B1+
homogeneity (b1 =1). To measure the magnetization evolution at each Ex-Ref FA, the phase-encoding gradients were switched off, and consequently, no
spatial in-plane encoding was applied (4).
Hip
arthroplasty MRI: Ceramic-on-polyethylene titanium (Ti) and metal-on-metal
cobalt-chromium (CoCr) hip arthroplasty implants embedded in ASTM get medium
(T1 = 1000ms, T2 = 60ms) were imaged with axial high transmit-receive bandwidth TSE
and coronal SEMAC pulse sequences, respectively. Sequence parameters included TR/TE = 3000/24ms,
voxel size = 0.5 x 0.5 x 3.0 mm3, and turbo factor = 13 for the Ti, and
TR/TE = 1820/32ms, voxel size = 1.1 x 1.1 x 5.0 mm3, turbo factor =
13, and SEMAC steps = 16 for the CoCr implants. The signal intensities of these acquisitions were
compared against the simulated database to solve the aforementioned minimization
problem. For comparison purposes, b1 maps were also obtained using the method described in (5), which
includes a TurboFLASH
sequence equipped with a preceding RF pulse for magnetization preparation.Results and Discussion
Simulated
signal for various Ex-Ref
FA sets as a function of b1 is shown in Figure 1. As seen, lower Ex-Ref FA sets (e.g. 30-60°) are
more sensitive to higher b1 values, whereas higher sets (e.g. 120-180°) are more sensitive to lower b1. The Bloch model showed
promising performance against the experimental data obtained with TSE sequence
at b1 =1 (Figure 2), with a maximum of 8% signal underestimation
observed at Ex-Ref FA of 30-60°.
Axial images of the Ti implant along the femoral stem
acquired with various Ex-ref FA sets and the estimated b1 map are
shown in Figure 3. Higher b1 values were noted near the implant
surface, in alignment with previously reported numerical simulations (6). Such
high values were not detected with the TurboFLASH method due to dependencies between the preparation RF
pulse and the b1 dynamic
range in this method. A minimum of three Ex-Ref FA sets was capable of providing
the b1 maps except
for a thin rind at the metal surface.
Figure 4 shows the b1 distribution in the coronal plane of the CoCr implant with the
corresponding map acquired with the TurboFLASH technique.
Due to high susceptibility artifacts of the CoCr, b1 quantification is only possible with the implementation
of SEMAC.Conclusion
Our proposed
technique estimates the spatial distribution of the B1+ field surrounding
metallic implants by applying various excitation-refocusing schemes while using
TSE or SEMAC acquisitions for metal artifact reduction. Promising results were
obtained, particularly at areas close to the metal surface, which are invisible
with other mapping techniques.Acknowledgements
No acknowledgement found.References
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