Sampada Bhave1, S. Sivaram Kaushik2, Robert D Peters2, and Kevin M Koch1
1Medical College of Wisconsin, Milwaukee, WI, United States, 2GE Healthcare, Waukesha, WI, United States
Synopsis
The
application of diffusion weighted imaging (DWI) is rapidly increasing in
musculoskeletal system. DWI is useful in imaging diverse range of
musculoskeletal pathologies like soft-tissue tumors, bone lesions, vertebral
fractures pre and post treatment follow up. In this
work, our goal is to quantitatively compare the accuracy of ADC estimation of EPI,
and PROPELLER based techniques. We also optimize the imaging parameters for
PROPELLER and MSI-PROPELLER techniques and provide a correction method to
improve the accuracy of ADC estimation.
Introduction
The
application of diffusion weighted imaging (DWI) is rapidly increasing in
musculoskeletal imaging[1]. DWI is used in the differentiation between vertebral compression fractures vs. malignant fractures[2], assessment of degenerative
changes and structural integrity in spine[3], and characterization of soft-tissue
and bone tumors[4]. While there are multiple DWI approaches - Single shot echo
planar imaging (SS-EPI), Reduced FOV (rFOV) echo planar imaging, Multi-shot
echo planar imaging (MUSE), Multiband EPI, and PROPELLER – PROPELLER is most suited to image near metal. The
PROPELLER technique evaluated is not a commercial product and was locally
developed at out institution. Recently, multi-spectral(MSI) DWI using PROPELLER
was introduced for DWI near metal[5]. In this work, our goal is to quantitatively
compare the accuracy of ADC estimation in these 6 techniques in a NIST phantom
without a metal implant. We also optimize the imaging parameters for both the PROPELLER
based techniques and provide a correction method to improve the accuracy of ADC
estimation. Methods
The
experiments were performed on the GE Premier 3T MRI scanner using the NIST
diffusion phantom shown in Fig 1. The NIST phantom contains vials filled with aqueous
solutions of polymer at 0%, 10%, 20%, 30%, 40% and 50% concentrations with
known ADC values given in Fig 1. The imaging parameters under consideration
were echo train length(ETL), bandwidth(BW), and b-values. All the 6 techniques had the following
acquisition parameters: FOV=22cm, matrix size=128x128, 25 slices with slice
thickness=4mm and slice gap=1mm, ETL=20, BW=62.5kHz, TR=4s and 3 diffusion
directions. 3 spectral bins were acquired for the MSI-PROPELLER technique. Three
acquisitions were collected each corresponding to one of three b-values =350s/mm2,
600s/mm2, 1000s/mm2. The refocusing FA=125o
was used for both the PROPELLER techniques. Additional data was acquired with
ETL=32, BW=15.6kHz and 31.25kHz for both the PROPELLER based techniques for
optimization of these parameters. For this experiment, the b-value of 600s/mm2
was used. The ADC maps were calculated using a mono-exponential fit. The mean
ADC was calculated in 9mm2 circular regions of interest (ROI) in 6
vials as shown in Fig 1a. A polynomial curve
fitting method was used to correct for the elevated ADC values for PROPELLER
based methods. The weighting function was calculated by fitting the measured
data to the known values. A lookup table was populated with correction
parameters for each b-value.Results
Fig
2. shows the bar chart with comparison of ADC values for all the 6 techniques for all
vials. The black line denotes the known ADC values for each vial. The SS-EPI and
FOCUS techniques have the most optimal performance. We see that the PROPELLER
and MSI-PROPELLER techniques have elevated ADCs as compared to the other
methods. Also, the error in the ADC values for both the PROPELLER techniques
increase with the decrease in the signal intensity. This could be attributed to
the low signal to noise ratio in the PROPELLER techniques as compared to EPI
based methods. Also, the EPI based methods account for concomitant gradients at
lower b-values during diffusion gradient calculations, which is not the case
with PROPELLER techniques. The elevated ADC are an effect of CPMG leakage. Fig
3 shows the effect of ETL and BW on PROPELLER technique. There is a tradeoff
between the minimum achievable echo time and the signal to noise ratio when choosing
the bandwidth. The optimal performance for vials with low signal (vials 5 and
6) is seen at BW=62.5kHz, whereas other vials have similar or better
performance at BW=15.6kHz. The optimal performance is obtained for an ETL=32. A
2nd degree polynomial was used to correct the ADC values based on the known
values as shown in Fig 4. The fit has R-square value of 0.9948. The slight reduction in ADC in
MSI-PROPELLER as compared to PROPELLER can be attributed to the conventional
sum of squares spectral bin combination. Discussion
While
the SS-EPI and FOCUS techniques provide optimal results, they lack the ability
to image near metal due to severe susceptibility artifacts. The variability in
the results for different b-values observed in the PROPELLER based techniques can be reduced by accounting for concomitant
gradients at lower b-values as done in the EPI based methods. Since the
PROPELLER based techniques have multi-shot acquisitions, an improved phase
correction algorithm can reduce the artifacts and increase SNR. An improved
spectral bin combination can improve the accuracy of MSI-PROPELLER. Conclusion
In
this work, we compared the different EPI and PROPELLER based techniques for
their accuracy in ADC estimation. We further identified the optimal acquisition
parameters and proposed a correction strategy to compensate for the elevated
ADCs resulting from CPMG leakage. Acknowledgements
Research reported in this
publication was supported by NIH R21EB023415-01A1. The
content is solely the responsibility of the authors and does not necessarily
represent the official views of the NIH. References
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