Speech production real-time MRI at 0.55 T

被引:4
作者
Lim, Yongwan [1 ]
Kumar, Prakash [1 ,2 ]
Nayak, Krishna S. [1 ]
机构
[1] Univ Southern Calif, Viterbi Sch Engn, Ming Hsieh Dept Elect & Comp Engn, Los Angeles, CA USA
[2] Univ Southern Calif, Viterbi Sch Engn, Ming Hsieh Dept Elect & Comp Engn, 3740 McClintock Ave,EEB 400, Los Angeles, CA 90089 USA
基金
美国国家科学基金会;
关键词
0.55; T; real-time MRI; speech production; spiral; susceptibility artifact; IMAGES; RECONSTRUCTION; FEASIBILITY; ACQUISITION; RESOLUTION; SYSTEM; FLASH;
D O I
10.1002/mrm.29843
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To demonstrate speech-production real-time MRI (RT-MRI) using a contemporary 0.55T system, and to identify opportunities for improved performance compared with conventional field strengths.Methods: Experiments were performed on healthy adult volunteers using a 0.55T MRI system with high-performance gradients and a custom 8-channel upper airway coil. Imaging was performed using spiral-based balanced SSFP and gradient-recalled echo (GRE) pulse sequences using a temporal finite-difference constrained reconstruction. Speech-production RT-MRI was performed with three spiral readout durations (8.90, 5.58, and 3.48 ms) to determine trade-offs with respect to articulator contrast, blurring, banding artifacts, and overall image quality.Results: Both spiral GRE and bSSFP captured tongue boundary dynamics during rapid consonant-vowel syllables. Although bSSFP provided substantially higher SNR in all vocal tract articulators than GRE, it suffered from banding artifacts at TR > 10.9 ms. Spiral bSSFP with the shortest readout duration (3.48 ms, TR = 5.30 ms) had the best image quality, with a 1.54-times boost in SNR compared with an equivalent GRE sequence. Longer readout durations led to increased SNR efficiency and blurring in both bSSFP and GRE.Conclusion: High-performance 0.55T MRI systems can be used for speech-production RT-MRI. Spiral bSSFP can be used without suffering from banding artifacts in vocal tract articulators, provide better SNR efficiency, and have better image quality than what is typically achieved at 1.5 T or 3 T.
引用
收藏
页码:337 / 343
页数:7
相关论文
共 50 条
[21]   Database of volumetric and real-time vocal tract MRI for speech science [J].
Sorensen, Tanner ;
Skordilis, Zisis ;
Toutios, Asterios ;
Kim, Yoon-Chul ;
Zhu, Yinghua ;
Kim, Jangwon ;
Lammert, Adam ;
Ramanarayanan, Vikram ;
Goldstein, Louis ;
Byrd, Dani ;
Nayak, Krishna ;
Narayanan, Shrikanth .
18TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2017), VOLS 1-6: SITUATED INTERACTION, 2017, :645-649
[22]   Speech Synthesis from Articulatory Movements Recorded by Real-time MRI [J].
Otani, Yuto ;
Sawada, Shun ;
Ohmura, Hidefumi ;
Katsurada, Kouichi .
INTERSPEECH 2023, 2023, :127-131
[23]   Real-time speech MRI: Commercial Cartesian and non-Cartesian sequences at 3T and feasibility of offline TGV reconstruction to visualise velopharyngeal motion [J].
Freitas, Andreia C. ;
Ruthven, Matthieu ;
Boubertakh, Redha ;
Miquel, Marc E. .
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2018, 46 :96-103
[24]   Automatic segmentation of speech articulators from real-time midsagittal MRI based on supervised learning [J].
Labrunie, Mathieu ;
Badin, Pierre ;
Voit, Dirk ;
Joseph, Arun A. ;
Frahm, Jens ;
Lamalle, Laurent ;
Vilain, Coriandre ;
Boe, Louis-Jean .
SPEECH COMMUNICATION, 2018, 99 :27-46
[25]   Leveraging Real-time MRI for Illuminating Linguistic Velum Action [J].
Oh, Miran ;
Byrd, Dani ;
Narayanan, Shrikanth S. .
INTERSPEECH 2021, 2021, :3964-3968
[26]   Real-time MRI at a resolution of 20 ms [J].
Uecker, Martin ;
Zhang, Shuo ;
Voit, Dirk ;
Karaus, Alexander ;
Merboldt, Klaus-Dietmar ;
Frahm, Jens .
NMR IN BIOMEDICINE, 2010, 23 (08) :986-994
[27]   Catheter Ablation Guided by Real-Time MRI [J].
Eitel, Charlotte ;
Hindricks, Gerhard ;
Grothoff, Matthias ;
Gutberlet, Matthias ;
Sommer, Philipp .
CURRENT CARDIOLOGY REPORTS, 2014, 16 (08)
[28]   Deblurring for spiral real-time MRI using convolutional neural networks [J].
Lim, Yongwan ;
Bliesener, Yannick ;
Narayanan, Shrikanth ;
Nayak, Krishna S. .
MAGNETIC RESONANCE IN MEDICINE, 2020, 84 (06) :3438-3452
[29]   Utility of Real-Time Field Control in T2*-Weighted Head MRI at 7T [J].
Duerst, Yolanda ;
Wilm, Bertram J. ;
Wyss, Michael ;
Dietrich, Benjamin E. ;
Gross, Simon ;
Schmid, Thomas ;
Brunner, David O. ;
Pruessmann, Klaas P. .
MAGNETIC RESONANCE IN MEDICINE, 2016, 76 (02) :430-439
[30]   Speech Organ Contour Extraction using Real-Time MRI and Machine Learning Method [J].
Takemoto, Hironori ;
Goto, Tsubasa ;
Hagihara, Yuya ;
Hamanaka, Sayaka ;
Kitamura, Tatsuya ;
Nota, Yukiko ;
Maekawa, Kikuo .
INTERSPEECH 2019, 2019, :904-908