High-resolution dynamic speech imaging with joint low-rank and sparsity constraints.
High-resolution dynamic speech imaging with joint low-rank and sparsity constraints.
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DOI：
10.1002/mrm.25302
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发表时间：
2015-05
影响因子：
3.3
通讯作者：
Sutton, Bradley P.
中科院分区：
文献类型：
--
作者：
Fu, Maojing;Zhao, Bo;Carignan, Christopher;Shosted, Ryan K.;Perry, Jamie L.;Kuehn, David P.;Liang, Zhi-Pei;Sutton, Bradley P.
关键词：
利用稀疏采样的最新进展，实现具有高时空分辨率和全声道空间覆盖的动态语音成像。提出了一种利用语音中发音运动动态图像的低秩稀疏性实现高速动态语音成像的成像方法。提出的方法包括：a)一种新的数据采集策略，采集具有高时间帧率的导航器；b)一种图像重建方法，从导航器中提取时间子空间，并在低秩和稀疏性联合约束下从稀疏采样数据中重建高分辨率图像。本文提出的方法已经通过几个动态语音实验进行了系统的评估和验证。对于空间分辨率为2.2 × 2.2 × 6.5 mm3的单片成像协议，标称成像速度为每秒102帧（fps）。覆盖整个声道的八层成像方案在相同的空间分辨率下实现了12.8 fps的标称成像速度。在一个语音调查中也证明了该方法的有效性和实用性。低秩稀疏约束下的动态语音成像实验可以实现全声道空间覆盖的高时空分辨率。
To enable dynamic speech imaging with high spatiotemporal resolution and full-vocal-tract spatial coverage, leveraging recent advances in sparse sampling. An imaging method is developed to enable high-speed dynamic speech imaging exploiting low-rank and sparsity of the dynamic images of articulatory motion during speech. The proposed method includes: a) a novel data acquisition strategy that collects navigators with high temporal frame rate, and b) an image reconstruction method that derives temporal subspaces from navigators and reconstructs high-resolution images from sparsely sampled data with joint low-rank and sparsity constraints. The proposed method has been systematically evaluated and validated through several dynamic speech experiments. A nominal imaging speed of 102 frames per second (fps) was achieved for a single-slice imaging protocol with a spatial resolution of 2.2 × 2.2 × 6.5 mm3. An eight-slice imaging protocol covering the entire vocal tract achieved a nominal imaging speed of 12.8 fps with the identical spatial resolution. The effectiveness of the proposed method and its practical utility was also demonstrated in a phonetic investigation. High spatiotemporal resolution with full-vocal-tract spatial coverage can be achieved for dynamic speech imaging experiments with low-rank and sparsity constraints.
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影响因子：
4.4
作者：
Kim, Yoon-Chul;Proctor, Michael I.;Narayanan, Shrikanth S.;Nayak, Krishna S.
通讯作者：
Nayak, Krishna S.
DOI：
10.1109/tbme.2013.2266096
发表时间：
2013-11
期刊：
IEEE transactions on bio-medical engineering
影响因子：
--
作者：
Christodoulou AG;Zhang H;Zhao B;Hitchens TK;Ho C;Liang ZP
通讯作者：
Liang ZP
影响因子：
3.3
作者：
Adalsteinsson, E;Irarrazabal, P;Spielman, DM
通讯作者：
Spielman, DM
DOI：
10.1597/09-158
发表时间：
2011-11-01
期刊：
CLEFT PALATE-CRANIOFACIAL JOURNAL
影响因子：
--
作者：
Bae, Youkyung;Kuehn, David P.;Sutton, Bradley P.
通讯作者：
Sutton, Bradley P.
影响因子：
14.9
作者：
Bresch, Erik;Kim, Yoon-Chul;Narayanan, Shrikanth
通讯作者：
Narayanan, Shrikanth