Jessica A McKay1, Steen Moeller2, Sudhir Ramanna2, Edward J Auerbach2, Michael T Nelson2, Kamil Ugurbil2, Essa Yacoub2, and Patrick J Bolan2
1Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States, 2Department of Radiology, University of Minnesota, Minneapolis, MN, United States
Synopsis
It is important to improve ghost correction in
breast DWI using SE-EPI because residual ghosts bias ADC measurements, which
reflect malignancy. The standard ghost correction method using a 3-line
navigator frequently fails in breast DWI. In this work we implemented several alternative
ghost correction strategies. The two best methods outperformed the standard
3-line navigator correction. These techniques applied 1D, linear corrections
based on 1) phase maps from separate reference scans and 2) entropy
minimization. Background and Purpose
Diffusion
weighted imaging (DWI) with spin-echo echo planar imaging (SE-EPI) is
increasingly used for screening, diagnosis, and treatment monitoring in breast
cancer because malignancies exhibit lower apparent diffusion coefficients (ADC)
than benign lesions
1. SE-EPI in breast imaging produces lower quality
DWI than in the brain due to larger B0 inhomogeneity and abundant adipose tissue,
which produce geometric distortion and chemical shift artifacts from imperfect
fat suppression. Additionally, inconsistencies between k-space lines of
opposite readout polarity (RO+/RO-) due to eddy currents and other factors cause
Nyquist, or N/2, ghosts. Even small residual ghosts in source images can
produce bias in the resulting ADC maps. These phase errors are commonly
corrected by the three-line navigator method
2, which acquires three
readout lines without phase encoding with each scan to measure the phase
difference between positive and negative RO lines. This method performs well in
brain imaging but fails frequently in breast DWI. The purpose of this work is
to compare the performance of this standard technique with alternative EPI
phase correction methods to determine which method gives the best artifact
suppression in breast DWI.
Methods
Six
healthy female volunteers and one patient were recruited under IRB-approved
protocols. The subjects were scanned prone on a 16-channel Sentinelle breast
coil using a Siemens 3T PRISMA fit system. A standard 2D axial multislice SE-EPI bipolar diffusion sequence with
four b-values (0, 100, 600, 800 s/mm2, 2 averages and 3 directions
each) derived from ACRIN 66983 served as the base protocol
(TR/TE=8000/74 ms, 32x32 cm FOV, nominal in-plane resolution 1.7 x 1.7 mm, 4 mm
slices, 6/8 partial Fourier, ETL=52ms, right-left phase encoding, GRAPPA R=2,
single shot SE-EPI ACS lines).
Five distinct phase correction strategies were used
to correct this base DWI acquisition, summarized in Table 1. The 3-line navigator method2 (A)
used the integrated navigator acquisition to calculate a linear phase
correction independently for each b-value, average, coil, and slice. The phase mapping method (B) used
additional reference scans with double FOV to produce separate, unaliased,
coil-combined RO+ and RO- images. The phase difference between these RO+ and
RO- images was fit with a 1D linear model as described by ref [4] for each
slice and applied to all repetitions in the base scan. The entropy method (C) found the 1D linear phase correction for each
coil and slice that minimized the b=0 s/mm2 image entropy using a
multi-resolution discrete search5,6 and applied this correction to
all repetitions. The RO reversal
method (D) repeated the base scan with the readout polarity reversed and
performed a complex addition of the two datasets to cancel phase ghosts,
similar to PLACE7. Finally, the full
phase navigator method (E) used a reference scan acquired without phase
encoding to perform a linear 1D phase correction that varied over the RO train8.
The intensity of residual Nyquist ghosts was
measured by manually masking out the object and measuring the SNR in the
background region. This background-to-noise (BNR) was calculated separately for
each slice and b-value.
Results
Figure 1 shows the BNR across methods for each
subject, b-value, and slice. Residual ghosts were present in all cases at
variable levels. Both the phase mapping (B) and entropy (C) methods gave lower
average ghost levels and less variation in ghost signal than the standard
3-line navigator correction. Figure 2 shows an example comparing the ADC maps
and residual ghost intensities between the standard (A) and best performing (B)
methods.
Discussion
The standard 3-line navigator method,
which corrects each b-value, average, and coil independently (A) fails
frequently in breast DWI. Both phase mapping and entropy minimization performed
significantly better even though a single correction from b=0 s/mm
2
data was applied equally over all repetitions. This suggests that the diffusion
weighting gradients and physiologic motion do not have a substantial impact on
the correction needed. Monopolar diffusion gradients may have a more noticeable
effect. Additionally, the highest performing method (B) was implemented on
coil-combined data in order to have enough SNR and coverage to obtain a complete
phase map, suggesting that a single correction over all coils may be sufficient.
Both phase mapping and entropy minimization can be extended for higher order or
2D ghost corrections.
Conclusion
EPI phase correction using either an entropy
minimization or a 1D phase mapping technique produces better Nyquist ghost
suppression than the standard 3-line navigator in breast DWI. These methods may
be applicable for DWI in other regions of the body and can be adapted for use
with segmented or simultaneous multislice acquisitions.
Acknowledgements
NIH P41 EB015894
NIH R21 CA201834
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