Jie Yang1, Qinhe Zhang1, Ailian Liu1, Jiazheng Wang2, and Zhongping Zhang2
1The first affiliated hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China
Synopsis
The
pancreatic volume can reflect the function of the pancreas to a certain extent.
The 3D mDixon Quant can be used to assess the volume of the tissue structure,
but some patients cannot tolerate the long-term breath test. This study was
designed to ensure pancreas volume using different CS acceleration factors on
the premise of ensuring image quality. The results show that CS-SENSE 6
guarantees image quality and reduces scan time.
Introduction
The pancreas plays a central role in metabolism and is involved in the
pathogenesis of several diseases. Pancreas volume is a holistic quantitative
measure of pancreas size but measurements of pancreas size and composition are usually
time-consuming and operator-dependent1.Diabetes can also lead to a corresponding change in pancreatic volume 2.
Therefore, the study of pancreatic volume has important clinical significance
for the prevention, diagnosis, treatment and prognosis evaluation of related
diseases. However, most pancreatic volume assessment is limited to computed
tomography (CT) studies requiring radioactive agents3. 3D mDIXON
Quant was found to enable robust water-fat separation and may be used in
pancreatic volume. The purpose of this study was to evaluate the feasibility of
pancreatic volume measurement using 3D mDIXON Quant technique and the effect of
different Compressed SENSE acceleration factors on the premise of ensuring
image quality.Materials and method
Institutional review board approval and informed consent were obtained.
10 healthy volunteers (4 males and 6 females, mean age 24.91±1.64 years, age
range 22-27years, BMI range 17.71-28.73kg/m2, mean BMI 21.75±3.35
kg/m2) were scheduled for pancreas 3D mDIXON MR imaging on a 3T MR scanner (Ingenia 3.0T CX;
Philips Healthcare, Best, the Netherlands). Scan parameters were as follows:
FOV=375mm×300mm, TR/TE=6ms/XXms, Slice thickness and gap=5.0mm/2.5mm, SENSE =2,
4, Compressed-SENSE(CS)=2, 4, 5, 6, Echo=6. Data was transferred to the
IntelliSpace Portal, (Philips Healthcare). Pancreatic volume was
measured using one single-layer ROI drawing superposition volume technology as
shown in Figure.1. ROIs (100mm2) were placed on the maximal level of
the head, body, tail, and bilateral erector spinae of each sequence, and the
signal value and noise were measured (Fig.2). The measured pancreatic and
erector spinae data were averaged, and the SNR and CNR were calculated. The
Friedman test was used to compare the SD value, SNR, CNR, and pancreatic volume
between the sequences. P < 0.05 is considered to be statistically
significant. This study has been approved by the local IRB.Results
There
was no significant difference in SD value, SNR, CNR between groups(P>0.05).
The pancreatic volume (cm3) of SENSE 2, 4, CS-SENSE 2, 4, 5, 6 are 61.3±8.5,
59.5±8.4, 59.3±7.6, 58.9±9.8, 59.5±8.7, 61.3±7.8. There was no
significant difference in the volume among the groups (P > 0.05)
(Table1).Discussion
The
3D mDIXON Quant sequence scans 90 layers, collects 6 echoes in one breath,
analyzes 7 fat peaks, and combines T2* correction to generate FF maps and T2*
maps. The quantitative pancreatic volume obtained in this study is comparable
with the results of former studies in Asian1.The CS technology
used in our research uses digital random sparse sampling to ensure the fidelity
of the image. The signal acquired in K space is converted to Hilbert space via
Fourier transform and wavelet transform (H space) 4. Using
CS 6 can significantly reduce the scan time while ensuring image quality.Conclusion
3D mDIXON Quant technique can be used for pancreatic volume quantitative
analysis. Compressed SENSE technique can be used for the acquisition
acceleration in the 3D mDIXON Quant data acquisition. Compressed SENSE acceleration factor 6 can
shorten the scanning time with the guarantee of the image quality.Acknowledgements
No acknowledgement found.References
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