Kilian Stumpf1, Patrick Metze1, Tobias Speidel1, Thomas Hüfken1, and Volker Rasche1
1Department of Internal Medicine II, University Medical Center Ulm, Ulm, Germany
Synopsis
Disorders of the temporomandibular joint (TMJ), such as pain and
blockage, usually arise while the joint is in motion. Capturing this dynamic
process requires high temporal resolutions and good contrast between condyle
and articular disk, which is possible with advanced sequences that often need
sophisticated reconstruction algorithms. In this contribution, the widely available or easily
implemented and reconstructed TSE-Zoom sequence was compared to advanced radial and spiral
sequences employing uniform and tiny golden angle(tyGA) profile ordering. While
tyGA sequences allow fluid rendering of the joint motion, TSE-Zoom can be
considered a viable alternative with excellent contrast between condyle and
disk.
Introduction
Static MR images of the mouth in opened and closed
positions are a conventional approach for the diagnoses of
disorders of the temporomandibular joint (TMJ)1. However, pain and blockage in
the joint usually arises while the TMJ is in motion2, e.g. during
chewing or speaking. Capturing this dynamic process with MRI is challenging,
since it requires high temporal resolutions to visualize the course of motion
of the joint with good contrast between the condyle and the articular disk.
Furthermore, the advanced sequences, especially in combination with
sophisticated reconstruction algorithms, are not readily available on clinical
systems. The TSE-Zoom sequence3 is, if not already available for the scanner,
easy to implement and due to its use of Cartesian k-space sampling requires merely
a Fourier transform for image reconstruction. For this contribution, we
compared a single-shot TSE-Zoom sequence to radial and spiral balanced
sequences for dynamic in vivo imaging of the TMJ.Methods
TSE-Zoom applies slice selection gradients during the
refocusing pulses on an axis perpendicular to the selection gradients for the
excitation pulse, thus reducing the FOV in one direction. Choosing the same
direction for phase encoding a single-shot TSE image can be acquired within a
few hundred milliseconds4, dependent on the flip angles and SAR
limitations. For dynamic TMJ imaging the FOV was reduced from 192 mm to 48 mm in
anterior-posterior direction, just ensuring the visibility of the condyle
during the entire range of motion of the jaw. With excitation and refocusing flip
angles of 90°-180° a temporal resolution of 600 ms could be achieved. Lowering
the refocusing angle to 160° allowed the image acquisition in 300 ms. Further
reduction of the flip angles made the identification of the condyle impossible
due to low SNR. Balanced radial and spiral sequences with uniform and tiny
golden angle5 (tyGA) profile ordering were chosen for comparison. For
tyGA sequences an angular increment of
$$$\psi_7$$$ = 23.6281° was used, while profile angles for the uniform
ordering scheme were adapted to match the temporal resolutions of TSE-Zoom. Relevant
imaging parameters are listed in Table 1.
All data were acquired with a 1.5T whole-body clinical
imaging system (Achieva, Philips Healthcare, The Netherlands) using a
four-element dental surface coil (NORAS, Hoechberg, Germany). In vivo scans of
the left and right TMJ were acquired from six volunteers after obtaining
written informed consent. Each scan had a duration of 25 s during which the
volunteers moved their jaws at two different speeds, a slow motion for opening
and closing lasting 10 s each and a faster motion with 4 s duration.
The contrast ratio between condyle and articular disk was
calculated according to $$$r_c = (I_c - I_d)/I_c$$$
, with $$$I_c$$$
and $$$I_d$$$
being the signal intensities in ROIs of the
condyle and disk, respectively.Results
Fig. 1 shows images acquired in one volunteer with the
TMJ in closed position for all sequences and temporal resolutions. All
sequences successfully acquired images of TMJ structures that appear slightly
blurred in the spiral images and sharpest for the TSE-Zoom sequences. While an
increase in temporal resolution leads to an overall reduction in SNR, this is
especially noticeable in the TSE-Zoom images.
Fig. 2 depicts the TMJ during maximal condyle movement.
While the condyle head remains sharp through all motion phases for tyGA radial
and TSE-Zoom images, blurring occurs in the spiral images and to a lesser
extend for the uniform radial sequences. The disk is clearly discernible in
tyGA radial, spiral and TSE-Zoom images for slow and fast TMJ motions.
Fig. 3A displays the TMJ in closed, middle and open
position and an M-mode plot of a profile through the moving condyle head (green
striped line) for assessment of motion fluidity. M-mode plots for all sequences, motion speeds and temporal
resolutions are shown in Fig. 3B. Although all sequences benefit from a higher
temporal resolution, the tyGA sequences achieve an almost continuous depiction
of the joint motion.
Contrast ratios calculated for slow and fast movements
are depicted in Fig. 4 A and B. Overall strongest contrast between condyle head
and disk was calculated for TSE-Zoom. For the faster 4 second jaw motion (B)
the differences in contrast ratios between the sequences is smaller, with
uniform spiral images displaying the overall lowest contrast ratio.Discussion and Conclusion
The TSE-Zoom sequence allows for a sharp depiction of
the condyle head for slow and fast jaw motions, since the actual images are
acquired within 100 ms, whereas the longer repetition times of 300 and 600 ms, required
due to SAR limitations, may cause an uneven visualization of the motion. The
apparent motion with the uniform radial and spiral sequences appear smooth with
some residual blurring since data is acquired over the entire 300 / 600
ms. Completely smooth depictions of the TMJ motion is achieved with the tyGA
sequences, due to the ideal profile distribution that allows sliding window
reconstructions with small step sizes.
In conclusion, the TSE-Zoom sequence appears as attractive
alternative to more sophisticated techniques especially due to its excellent
contrast and availability. Limitations from the non-even motion visualization
needs further clinical evaluation.Acknowledgements
The authors thank the Ulm University Center for Translational Imaging MoMAN for its support.References
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