Aurelien Destruel1, Mingyan Li 1, Ewald Weber1, Jin Jin1,2,3, Shekhar S Chandra1, Jurgen Fripp4, Feng Liu1, Stuart Crozier1, and Craig Engstrom5
1School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia, 2Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States, 3ARC Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, Brisbane, Australia, 4CSIRO Health and Biosecurity, Herston, Australia, 5School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Australia
Synopsis
Advances in automatic segmentation of cartilage in hip
joints has shown the need for high resolution and contrast in 3D sequences. In
this work, double-echo steady-state (DESS) hip images from a healthy volunteer
were compared at 3T and 7T. 3D-DESS with a resolution up to 0.4x0.4x0.6mm3
was acquired, and showed that the 7T images had superior anatomical detail,
signal-to-noise ratio (SNR), contrast ratio (CR) and overall image quality. The
improvements observed in 7T imaging of the hip have the potential to boost the
performance of automated cartilage segmentation algorithms by reducing
segmentation errors.
Introduction
Magnetic resonance imaging (MRI) is well suited for quantitative
analysis of the musculoskeletal tissues comprising the hip joint1,2.
In particular, the segmentation of joint cartilage offers a clinically
appealing technique for assessing and monitoring pathoanatomical conditions
such as osteoarthritis using existing 3T MRI systems3. However, the 3D MRI
sequences most effective for cartilage segmentation, such as water-excited
double-echo steady-state (we-DESS), require reliable automated segmentation
techniques to process the large number of images from each patient examination.
However, low contrast-to-noise ratio (CNR) may introduce errors between
segmentation of cartilage, synovial fluid and ligamentous tissues4.
High-resolution data is preferred to identify the highly curved, closely
coupled femoral and acetabular cartilages in the hip. Although ultra-high field
(UHF) MRI has the potential to improve the reliability of musculoskeletal
imaging5 and thus automated joint
cartilage segmentation, there is a lack of research in this area for 7T MRI
given the scarcity of dedicated radiofrequency coils for UHF systems, issues
with RF homogeneity and efficiency and challenges of generating images with
high tissue contrast6-8.
In this work, we compare 3T and 7T images of the hip cartilages acquired across
a number of different spatial resolution. Parallel transmit (pTx) techniques
were used at 7T in efforts to overcome many of the above UHF MRI challenges. Methods
Comparative 3T and 7T MRI was
performed on a healthy volunteer (Age: 54Y, Mass: 75 kg). The 3T images were
acquired on a MAGNETOM Prismafit (Siemens Healthcare, Erlangen,
Germany), using an 18-channel coil array placed anteriorly and a posteriorly
located 32-channel spine receive coil array. The 7T images were acquired on a
research system (Siemens Healthcare, Erlangen, Germany), using a prototype
eight-channel pTx transceiver RF coil for unilateral hip imaging (modified from
a previous work6). A custom code was
implemented for phase only B1-shimming to increase the B1
efficiency and uniformity. Virtual observation points were used to limit the
10g-averaged specific absorption rate (SAR10g)9, and were based on
simulations done in Sim4Life (ZMT, Switzerland).
Comparison between 3T and 7T MRI were made using 3D we-DESS images
due to their enhanced bone-cartilage and cartilage-synovial contrasts. Images
were acquired at a resolution used in previous 3T studies (0.6x0.6x0.7mm3)
and at a higher resolution (0.4x0.4x0.6mm3) at 3T and 7T. Due to the
reduction of synovial signal in DESS at high resolution, a modified version was
used with spoiler gradients in the slice direction10. Table 1 shows the parameters
used at the different field strengths. Pre-scan normalization was used at 3T,
but was not applicable at 7T due to the absence of a volume transmit coil. For
this reason, the signal-to-noise ratio (SNR) and CNR cannot be directly
compared between systems. Thus, the contrast ratio (CR) was used as indicator
of contrast performance11,
defined as (SignalA – SignalB)/(SignalA –
SignalB), where the signals were averaged over a representative
region for different pairs of tissues: synovial fluid/cartilage (CRFC),
ligament/cartilage (CRLC), cartilage/bone (CRCB).
Results
Figures 1 to 3 show comparisons between the 3T and 7T we-DESS
images at the two different spatial resolutions. After the custom designed B1
shimming algorithm was applied, no B1-inhomogeneity was observed
adjacent to the hip joint, attesting to the feasibility and practicality of
using 7T pTx for hip imaging. In addition, the SAR10g
was maintained well below the limits recommended by the IEC12.
Qualitative assessments of the we-DESS images showed that there
was substantially less noise present at 7T compared with 3T, providing visual
enhancement of the overall image quality in all cases. Similarly, visual inspections
of the contrast between tissues and anatomical details demonstrated the
superiority of 7T over 3T. There was a more distinct separation between the
femoral and acetabular cartilages in the 7T images compared to 3T (Figure 1).
In addition, the contrast between the synovial fluid/cartilage and ligament/cartilage
were improved at 7T (Figures 2 and 3). These qualitative assessments were
confirmed by measurements of the CR, which was better at 7T compared with 3T in
all images with an average increase of 77%, and up to 154% for the high
resolution CRFC.Discussion and Conclusion
In this work, acquisition of we-DESS images with a
resolution of 0.4x0.4x0.6mm3 was successfully undertaken at 7T. In
comparison with 3T MRI, the 7T images had superior anatomical detail, SNR, CR
and overall image quality. At 7T, the high-resolution 3D we-DESS images were acquired
in ~6 minutes which would likely be acceptable for dedicated clinical studies
of cartilage in the hip joint (and other major joints). Such improvements have
the potential to enhance the performance of automated cartilage segmentation
algorithms whereby the combination of high-resolution images with enhanced
contrast between all joint tissues offers a basis for the reduction of
segmentation errors. However, there has been little work on the development of
automated cartilage segmentation from 7T images and, rather than a perfunctory application
of current algorithms trained on 3T data, there needs to be well controlled
training and implementation of automated segmentation algorithms for 7T. Future
studies will evaluate the potential of high-resolution 7T MRI of the hip for
enhanced examination of joint cartilage (and other musculoskeletal elements) in
prodromal or symptomatic semi-acute or chronic disease states associated with
various joint pathologies. Acknowledgements
The authors acknowledge Dr Rahel Heule and Dr Oliver Bieri
for providing the DESS sequence used in this study. This
work received funding from the ‘MR Hip Intervention and Planning System to
enhance clinical and surgical outcomes’ NHMRC Development Grant. Aurelien
Destruel acknowledges ZMT for providing the free academic license of the
software Sim4Life.References
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