Maike Bode1, Shuo Zhang1,2, Nils A. Krämer1, Christiane K. Kuhl1, and Alexandra Barabasch1
1Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany, 2Philips Healthcare, Hamburg, Germany
Synopsis
Compressed sensing (CS) has been reported
to accelerate acquisition time in morphological imaging without image quality
loss. The impact of CS on diffusion weighted imaging (DWI) in liver MRI has not
yet been investigated. Therefore, the aim of our study was to test whether
CS-based reconstruction is useful in echo-planar imaging (EPI) DWI. In this
intra-individual comparison, EPI-DWI with CS-based reconstruction (CS-DWI) received
comparable image quality ratings as conventional EPI-DWI. However, in a direct
head-to-head-comparison, we found that a small fraction of focal liver lesions
was missed on CS-DWI without apparent reason.
Introduction
Compressed sensing (CS) is a promising technique
to accelerate image acquisition by undersampling data in κ-space
while providing acceptable image quality (1-3). In
liver MRI, diffusion-weighted imaging (DWI) plays a decisive role in the
detection of focal liver lesions (FLLs). DWI is even suggested of having a
better FLL detection rate than structural MRI (4, 5).
Therefore, the purpose of our study was to test whether combining CS-based
reconstruction and single-shot echo-planer imaging (EPI) is useful in hepatic DWI. Material and Methods
A total of 75 consecutive patients were
included in this single-center study. All patients underwent multiparametric
liver MRI on a 1.5T MR-system (Philips Ingenia) including an additional EPI-DWI
with CS-based reconstruction (CS-DWI) next to a conventional EPI-DWI
(conv-DWI). In the first half of the study period (group A), CS was used to accelerate acquisition time
at a given spatial resolution; in the second half of the study period (group
B), CS was invested to improve spatial resolution. MR
parameters are shown in Table 1. Two blinded radiologists independently
assessed the two MRI data sets (CS-DWI and conv-DWI) for image quality using a
5-point scale. The following image quality parameters were rated: sharpness of
liver contours, delineation of intrahepatic vessels, signal homogeneity of
liver parenchyma, conspicuity of FLLs, image noise and motion artefacts. The
mean value from both readers was calculated and statistically assessed by using
a Wilcoxon matched-pair signed-Rank test. A weighted Cohan’s Kappa test was
performed to test for interrater variability. In a separate reading session, one
radiologist analyzed the number and size of FLLs for both conv-DWI and CS-DWI. In
case of discrepancies regarding number of FLLs, a direct head-to-head
comparison was performed to find possible reasons for non-detectability.Results
In group A, "conspicuity of FLLs"
was rated significantly lower for CS-DWI vs conv-DWI (4.7±0.6 vs 4.2±0.9;
p<0.05); all other image quality parameters (5/6) received comparable
ratings. In group B, image quality was comparable in CS-DWI vs conv-DWI for all
rated parameters. An image example is given in Figure 1. Interrater variability
ranged from slight
to substantial agreement. In direct head-to-head-comparison, a total of 11/349
FLLs in 5/75 patient were missed on CS-DWI. One of these FLLs could not
be delimited due to strong pulsation artifacts on CS-DWI that were less
pronounced on conv-DWI. The remaining missed FLLs could not be detected even in
retrospect without apparent reason. An image example of missed FLL is shown in
Figure 2.Discussion
In this study, CS-based reconstruction in
EPI-DWI provided comparable image quality while reducing acquisition time
and/or improving spatial resolution. This is in good agreement with previous published
results for other body parts and liver imaging (6, 7). However,
our results imply that the detectability of FLLs was somewhat impaired in
CS-DWI for both qualitative and quantitative evaluation. Although only a small
fraction of FLLs were missed by CS-DWI, it is noteworthy that no apparent
reason could be found in direct comparison and in retrospect explaining the non-detectability
of those missed FLLs in CS-DWI.Conclusion
In liver DWI, CS-based reconstruction can
reduce scan time or improve spatial resolution. While image quality is
comparable to conv-DWI, caution is advised in detecting FLLs. Further studies
are warranted before full adoption in clinical practice.Acknowledgements
No acknowledgements found.References
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