Region segmentation in the frequency domain applied to upper airway real-time magnetic resonance images.
Region segmentation in the frequency domain applied to upper airway real-time magnetic resonance images.
复制标题
DOI：
10.1109/tmi.2008.928920
复制
发表时间：
2009-03
影响因子：
10.6
通讯作者：
Narayanan S
中科院分区：
文献类型：
--
作者：
Bresch E;Narayanan S
我们描述了一种利用图像的空间频域表示进行无监督区域分割的方法。该算法被设计用于处理包含人类声道中矢状图的实时磁共振(MR)图像的大序列。分割算法使用解剖信息对象模型，其与观察到的图像数据的匹配使用梯度下降过程进行分层优化。该算法的目标是自动提取时变的声道轮廓和发音器的位置，以便于在语音产生过程中研究声道的成形。
We describe a method for unsupervised region segmentation of an image using its spatial frequency domain representation. The algorithm was designed to process large sequences of real-time magnetic resonance (MR) images containing the 2-D midsagittal view of a human vocal tract airway. The segmentation algorithm uses an anatomically informed object model, whose fit to the observed image data is hierarchically optimized using a gradient descent procedure. The goal of the algorithm is to automatically extract the time-varying vocal tract outline and the position of the articulators to facilitate the study of the shaping of the vocal tract during speech production.