Yuan Zheng1, Yu Ding1, Xiaodong Ma2, and Weiguo Zhang1
1UIH America, Inc., Houston, TX, United States, 2United Imaging Healthcare, Shanghai, China
Synopsis
We have developed a procedure for reconstructing high-quality EPI images
with parallel imaging, and presented both in-vitro and in-vivo results.
Interleaved EPI and the PLACE technique are used to generate coil
sensitivity maps (CSM) and a distortion map. These maps do not suffer from
ghosting and match the distortion of the imaging data. The CSM are used in the
PEC-SENSE reconstruction to generate images with significantly reduced ghosting
artifacts. Geometric distortions are subsequently corrected using the
distortion map. This technique can be used to improve the image quality of many
EPI applications, such as diffusion imaging, when parallel imaging is involved.
Introduction
EPI is a fast imaging technique, particularly widely used in neuro
imaging applications including functional and diffusion MRI. However, due
to differences in system responses to readout gradients with opposing
polarities, EPI images often suffer from ghosting artifacts. When EPI
acquisition is used together with parallel imaging, the ghosting artifacts
become more complicated. Moreover, EPI images are susceptible to off-resonance
induced geometric distortions due to the low bandwidth in the phase encoding
direction. We present here an approach to reconstruct ghosting-free parallel EPI
images by extending the PEC-SENSE technique recently proposed by Xie et. al.1
We also demonstrate that the geometric distortions can be corrected to further
improve image quality.Theory
The PEC-SENSE technique1 satisfactorily removes EPI ghosting
artifacts. However, it requires high-quality coil sensitivity maps (CSM) with
no ghosts and with the same distortion as the imaging acquisitions, which can
itself be difficult to obtain when parallel imaging is involved. We have
utilized an interleaved-EPI (iEPI) sequence to collect the
CSM. The number of interleaves is set to be same as the parallel imaging
acceleration factor to match the effective echo spacing, and thus the geometric distortions between CSM and imaging data. However, the iEPI image (I1)
cannot be directly used as the CSM for PEC-SENSE, since it suffers from EPI
ghosting artifacts itself. In order to eliminate the artifacts, and also to
extract a map for distortion correction, we extended the PLACE technique
proposed by Xiang et. al.2 to parallel imaging. Two more iEPI images
are collected. For the second image (I2), the k-space is shifted in the ky
direction by an amount (in units of k-space lines) equal to the number of
interleaves. For the third image (I3), the k space is shifted in the same direction
by twice as much. An artifact-free CSM can be generated by combination of I1
and I2 (or I2 and I3)2. A distortion map can be extracted from I1,
I2 and I32. The reconstruction pipeline for parallel EPI (acceleration factor=2) is shown in Fig. 1. The sampling pattern and
reconstruction procedure for generating coil sensitivity and distortion maps
are shown in Fig. 2.Methods
All data were collected on a uMR 560 1.5 T scanner (United Imaging
Healthcare, Shanghai, China) with a 16 channel head coil. A gradient-echo EPI sequence was used for this study. Three echoes with phase encoding turned off
were inserted after the excitation to collect information for preliminary
odd-even line corrections3,4. The calibration scans include six
shots as shown in Fig. 2. For comparison, a low resolution (24 central k space
lines) image is also collected for conventional GRAPPA reconstruction5.
2D images were acquired with slice thickness=3.5mm, FOV=230×230 mm,
resolution= 112×112, FA=90°, TE=32 ms, BW=1910 Hz, echo spacing=0.94 ms, acceleration factor=2. The first data set was collected on a 16 cm
diameter water cylinder to demonstrate the effect of ghost removal. The second
data set was acquired on several closely positioned small water phantoms
(expected to suffer from off-resonance due to air-water interfaces)
to demonstrate distortion correction. The third data set was collected on a volunteer head.
All data were first corrected using information extracted from the three
echoes without phase encoding3,4. The data were then reconstructed using either GRAPPA or the proposed
procedure.Results
Fig. 3 a-c show I1,
I2 and I4 (as indicated in Fig. 2) of the water cylinder phantom. Although I1 and I2 have obvious ghosts, I4 is almost artifact free by combination of I1 and I2 according to the PLACE method, and is used as CSM for the PEC-SENSE reconstruction. Fig. 3 d-e compare
the water cylinder images reconstructed using GRAPPA and the proposed method (without
distortion correction). The latter significantly removed the ghosts. Fig. 4 shows images
of the small water phantoms reconstructed by the proposed method, before and
after distortion correction. Geometric distortions are largely corrected. Fig. 5 shows a
high-quality parallel EPI head image generated using the proposed procedure.Conclusion
We have developed a
procedure for reconstructing high-quality EPI images with parallel imaging. IEPI
and PLACE are used to generate coil sensitivity and distortion maps. These
maps do not suffer from ghosting and matches the distortion of imaging
data. The CSM are used in the PEC-SENSE reconstruction to generate images with
significantly reduced ghosting artifacts. Geometric distortions are
subsequently corrected according to the distortion map. The proposed technique
can be used to improve the image quality of many EPI applications, such as
diffusion imaging, when parallel imaging is involved.Acknowledgements
No acknowledgement found.References
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