Dynamic MR Imaging of the Temporomandibular Joint Using a Balanced Steady-State Free Precession Sequence at 3T

Yen, Philip; Katzberg, Richard W.; Buonocore, Michael H.; Sonico, J.

doi:10.3174/ajnr.a2734

Cited by 15 publications

(11 citation statements)

References 8 publications

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“…The bSSFP sequences use an ultrashort TR (typically in the range of 3–6 ms, allowing for fast k-space acquisition with sufficiently large matrix sizes, e.g., 128 or 256 in each dimension). Due to use of alternating polarity RF pulses, bSSFP sequences have large steady-state magnetization, which provides a high SNR [19]. In the present study, we found that wrist images can be acquired rapidly (<35 s) during motion in a reliable manner using a bSSFP pulse sequence, particularly when artifacts are minimized by the use of dielectric pads.…”

Section: Discussionmentioning

confidence: 54%

“…In a single-slice sequential acquisition mode, bSSFP has been applied successfully to dynamic imaging of the actively moving temporomandibular joint [19], but not to study static and dynamic instability in the wrist. There has been concern that bSSFP may not be technically feasible in the moving wrist because relatively small magnetic field inhomogeneities can generate substantial banding artifacts [18].…”

Section: Introductionmentioning

confidence: 99%

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Real-Time Magnetic Resonance Imaging (MRI) during Active Wrist Motion—Initial Observations

et al. 2013

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BackgroundNon-invasive imaging techniques such as magnetic resonance imaging (MRI) provide the ability to evaluate the complex anatomy of bone and soft tissues of the wrist without the use of ionizing radiation. Dynamic instability of wrist – occurring during joint motion – is a complex condition that has assumed increased importance in musculoskeletal medicine. The objective of this study was to develop an MRI protocol for evaluating the wrist during continuous active motion, to show that dynamic imaging of the wrist is realizable, and to demonstrate that the resulting anatomical images enable the measurement of metrics commonly evaluated for dynamic wrist instability.MethodsA 3-Tesla “active-MRI” protocol was developed using a bSSFP sequence with 475 ms temporal resolution for continuous imaging of the moving wrist. Fifteen wrists of 10 asymptomatic volunteers were scanned during active supination/pronation, radial/ulnar deviation, “clenched-fist”, and volarflexion/dorsiflexion maneuvers. Two physicians evaluated distal radioulnar joint (DRUJ) congruity, extensor carpi ulnaris (ECU) tendon translation, the scapholunate (SL) interval, and the SL, radiolunate (RL) and capitolunate (CL) angles from the resulting images.ResultsThe mean DRUJ subluxation ratio was 0.04 in supination, 0.10 in neutral, and 0.14 in pronation. The ECU tendon was subluxated or translated out of its groove in 3 wrists in pronation, 9 wrists in neutral, and 11 wrists in supination. The mean SL interval was 1.43 mm for neutral, ulnar deviation, radial deviation positions, and increased to 1.64 mm during the clenched-fist maneuver. Measurement of SL, RL and CL angles in neutral and dorsiflexion was also accomplished.ConclusionThis study demonstrates the initial performance of active-MRI, which may be useful in the investigation of dynamic wrist instability in vivo.

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Section: Discussionmentioning

confidence: 54%

Section: Introductionmentioning

confidence: 99%

Real-Time Magnetic Resonance Imaging (MRI) during Active Wrist Motion—Initial Observations

et al. 2013

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“…MR evaluation of the TMJ is useful to detect alterations in disc morphology or position, joint effusion and some of the signs related with osteoarthritis (OA) [2,7,8]. Furthermore, dynamic and pseudo-dynamic studies of the TMJ can be obtained with MRI as the patient opens and closes the mouth [9–11]. …”

Section: Introductionmentioning

confidence: 99%

High-resolution morphologic and ultrashort time-to-echo quantitative magnetic resonance imaging of the temporomandibular joint

et al. 2015

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Objective To implement high-resolution morphologic and quantitative magnetic resonance imaging (MRI) of the temporomandibular joint (TMJ) using ultrashort time-to-echo (UTE) techniques in cadavers and volunteers. Methods This study was approved by the institutional review board. TMJs of cadavers and volunteers were imaged on a 3T-MR system. High-resolution morphologic and quantitative sequences using conventional and UTE techniques were performed in cadaveric TMJs. Morphologic and UTE quantitative sequences were performed in asymptomatic and symptomatic volunteers. Results Morphologic evaluation demonstrated the TMJ structures in open and closed-mouth position. UTE techniques facilitated the visualization of the disc and fibrocartilage. Quantitative UTE MRI was successfully performed ex-vivo and in-vivo reflecting the degree of degeneration. There was a difference in the mean UTE T2* values between asymptomatic and symptomatic volunteers. Conclusions MRI evaluation of the TMJ using UTE techniques allows characterization of the internal structure and quantification of the MR properties of the disc. Quantitative UTE MRI can be performed in-vivo with short scan times.

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“…Second, previous studies assume the tumor position detection at 30 Hz by monitoring the position of external or internal tumor surrogates using optical tracking devices, 15,16 or a stereoscopic x-ray fluoroscopy system. 12,13 However, dynamic MR imaging to observe organ motion of lung, 7 intrathoracic tumor, 19 joint, 20 etc., can typically achieve imageacquisition rates of 3-4 frames per second (fps). This rate is recommended for real-time tracking of lung-tumor motion 21 and can be achieved using our present linac-MR.…”

Section: Introductionmentioning

confidence: 99%

An artificial neural network (ANN)-based lung-tumor motion predictor for intrafractional MR tumor tracking

et al. 2012

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A new ANN-based lung-tumor motion predictor is developed for MRI-based intrafractional tumor tracking. The prediction accuracy of our predictor is evaluated using a realistic simulated MR imaging rate and system delays. For 120-520 ms system delays, mean RMSE values of 0.5-0.9 mm (ranges 0.0-2.8 mm from 29 patients) are achieved. Further, the advantage of patient specific ANN structure and IW in lung-tumor motion prediction is demonstrated by a 30%-60% decrease in mean RMSE values.

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Dynamic MR Imaging of the Temporomandibular Joint Using a Balanced Steady-State Free Precession Sequence at 3T

Cited by 15 publications

References 8 publications

Real-Time Magnetic Resonance Imaging (MRI) during Active Wrist Motion—Initial Observations

Real-Time Magnetic Resonance Imaging (MRI) during Active Wrist Motion—Initial Observations

High-resolution morphologic and ultrashort time-to-echo quantitative magnetic resonance imaging of the temporomandibular joint

An artificial neural network (ANN)-based lung-tumor motion predictor for intrafractional MR tumor tracking

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