首页> 外文会议>Conference on Medical Imaging: Image Processing >Floor-of-the-Mouth Muscle Function Analysis Using Dynamic Magnetic Resonance Imaging
【24h】

Floor-of-the-Mouth Muscle Function Analysis Using Dynamic Magnetic Resonance Imaging

机译:使用动态磁共振成像的落地肌功能分析

获取原文

摘要

To advance our understanding of speech motor control, it is essential to image and assess dynamic functional patterns of internal structures caused by the complex muscle anatomy inside the human tongue. Speech pathologists are investigating into new tools that help assessment of internal tongue muscle's cooperative mechanics on top of their anatomical differences. Previous studies using dynamic magnetic resonance imaging (MR1) of the tongue revealed that tongue muscles tend to function in different groups during speech, especially the floor-of-the-mouth (FOM) muscles. In this work, we developed a method that analyzed the unique functional pattern of the FOM muscles in speech. First, four-dimensional motion fields of the whole tongue were computed using tagged MRI. Meanwhile, a statistical atlas of the tongue was constructed to form a common space for subject comparison, while a manually delineated mask of internal tongue muscles was used to separate individual muscle's motion. Then we computed four-dimensional motion correlation between each muscle and the FOM muscle group. Finally, dynamic correlation of different muscle groups was compared and evaluated. We used data from a study group of nineteen subjects including both healthy controls and oral cancer patients. Results revealed that most internal tongue muscles coordinated in a similar pattern in speech while the FOM muscles followed a unique pattern that helped supporting the tongue body and pivoting its rotation. The proposed method can help provide further interpretation of clinical observations and speech motor control from an imaging point of view.
机译:为了推进我们对语音电机控制的理解,对人舌内的复杂肌肉解剖学引起的图像和评估内部结构的动态功能模式至关重要。言语病理学家正在调查进入新工具,帮助评估内部舌头肌肉的合作机制在其解剖学差异之上。以前的使用动态磁共振成像(MR1)的研究表明,舌头肌肉倾向于在语音期间在不同的群体中起作用,尤其是口腔底部肌肉。在这项工作中,我们开发了一种分析了语音中FOM肌肉的独特功能模式的方法。首先,使用标记的MRI计算整个舌头的四维运动场。同时,构建舌头的统计阿特拉斯以形成对象比较的常见空间,而使用手动描绘的内舌肌的面膜用于分离单个肌肉运动。然后我们计算了每个肌肉和FOM肌肉组之间的四维运动相关性。最后,比较和评估了不同肌肉群的动态相关性。我们使用来自19名受试者的研究组的数据,包括健康对照和口腔癌症患者。结果表明,大多数内舌肌肉在语音中以类似的模式协调,而FOM肌肉遵循一个独特的模式,有助于支撑舌头并枢转其旋转。所提出的方法可以帮助从成像角度提供对临床观察和语音电机控制的进一步解释。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号