Ana RodrÃguez-Soto1, Helen Park2, Dominic Holland3, Hauke Bartsch1, Haydee Ojeda-Fournier1, Anders Dale1, and Rebecca Rakow-Penner1
1Radiology, University of California, San Diego, La Jolla, CA, United States, 2School of Medicine, University of California, San Diego, La Jolla, CA, United States, 3Neuroscience, University of California, San Diego, La Jolla, CA, United States
Synopsis
Echo-planar
imaging (EPI) is prone to B0 inhomogeneities that arise from
susceptiblity effects resulting in spatial distortions more pronounced in the
phase-encoded (PE) direction. Reduction and correction of such distortion
artifacts are performed in both acquisition and post-processing stages. The
present work evaluates the combined effect of a field-of-view (FOV) optimized
and constrained undistorted single-shot (FOCUS) EPI and a distortion correction
approach to that exploits the symmetry of the artifact on EPI images acquired
with opposite PE polarities. After distortion correction good agreement was
found between corrected EPI datasets and anatomical images.
Introduction
Breast
MRI is widely used to screen for cancers and monitor treatment response.1
Diffusion weighted imaging (DWI), which is typically acquired with echo-planar
imaging (EPI), has been recently incorporated to breast MRI protocols to
improve the detection of lesions.2 EPI is prone to B0
inhomogeneities that arise from susceptiblity effects due to air-tissue
interfaces resulting in spatial and intensity distortions in the phase-encoded (PE)
direction.3 In order to reduce the magnitude of these artifacts, a sequence
that utilizes a field-of-view (FOV) optimized and constrained undistorted
single-shot (FOCUS) EPI was developed. In previous applications FOCUS improved the
image quality in spinal cord and prostate DWI applications.4,5 Similarly,
the use of reverse polarity gradient (RPG), a retrospective approach to correct
B0 inhomogeneities-induced distortions by exploiting the symmetry of
the artifact in the forward and reverse PE trajectories improves the
localization of prostate cancer.6,7 However, data describing the capacity
of these methods to reduce the spatial disagreement between EPI and anatomical
data in the breast are lacking. Therefore, the purpose of this work was to test
the combined effect of FOCUS acquisition and post-processing in reducing distortion
artifacts for breast imaging.Methods
A
group of 30 patients underwent breast MRI in a 3T scanner using a breast array.
Imaging parameters: T2 fat suppressed
FSE— TE/TR=107/4520ms, FA=111°, FOV=340×340mm2, voxel
size=0.66×0.66×5mm3; Conventional EPI— TE/TR=82/9000ms, FOV=340×340mm2, voxel
size=2.66×2.66×5mm3, PE
direction L/R; FOCUS-EPI— TE/TR=82/9000ms,
FOV=160×340mm2,
voxel size=2.5×2.5×5mm3, PE direction A/P. Both EPI and FOCUS-EPI
datasets were acquired in forward and reverse PE polarities and were then used
to calculate a deformation map to correct for distortions. The performance of
the distortion correction algorithm on both EPI datasets was evaluated by
computing the intensity normalized 2D cross-correlation between T2
FSE and corrected EPI images. In addition, the displacement between corrected
and uncorrected EPI images and the discrepancy between corrected EPI and anatomical
images were reported. Two-tailed paired t-tests were used to evaluate the
agreement between FOCUS- and conventional-EPI.Results
A representative case before and after distortion correction is shown in Figure 1. The average and maximum displacements between uncorrected and corrected for both FOCUS- and conventional-EPI datasets were 0.9±0.6 and 5.9±2.1 pixels and 1.4±0.5 and 9.0±1.7 pixels, respectively. These results suggest that the magnitude of the distortion artifact in conventional EPI is ~55% larger than that in FOCUS-EPI of the breast. After distortion correction, good agreement was found between both FOCUS- and conventional-EPI and anatomical images as reflected by the 2D cross-correlation coefficients: 0.90 and 0.96. In addition, T2 FSE images were registered to corrected EPI datasets to estimate the deformation map between the corrected EPI and the anatomical images. These were used to quantify the discrepancy between EPI and anatomical data. The average discrepancies of FOCUS- and conventional-EPI datasets with respect to the anatomical images were 1.0±0.5 and 1.8±1.0 pixels or 2.5±1.3 and 4.5±2.5 mm (p<0.0001).Discussion and Conclusions
As
expected, the magnitude of the B0 inhomogeneities-induced artifact was
reduced in the FOCUS-EPI images compared to conventional-EPI. Good agreement
was found between both corrected EPI datasets and anatomical images. The
slightly higher cross-correlations on conventional-EPI is attributed to the
reduced signal-to-noise ratio (SNR) of the FOCUS images compared to conventional-EPI.
In summary, the work presented here demonstrates that the B0
inhomogeneities-induced distortion correction algorithm performs well based on
the 2D cross-correlations values for both EPI methods. However, in both FOCUS-
and conventional-EPI a small residual discrepancy w.r.t anatomical images
remains; this inconsistency is roughly half when FOCUS-EPI is used. Future work
will focus on evaluating the diagnostic capacity of FOCUS- vs conventional-EPI DWI.Acknowledgements
GE HealthcareReferences
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[7] Rakow-Penner et al. Magn Reson Imaging 2015;33(9):1178-1181.