Region Segmentation in the Frequency Domain Applied to Upper Airway Real-Time Magnetic Resonance Images

被引：87

作者：

Bresch, Erik ^{[1
]}

Narayanan, Shrikanth ^{[1
]}

机构：

[1] Univ So Calif, Dept Elect Engn, Los Angeles, CA 90089 USA

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 2009年 / 28卷 / 03期

基金：

美国国家卫生研究院;

关键词：

Contour tracking; gradient vector flow; image segmentation; polygonal shapes; real-time magnetic resonance imaging (MRI); speech production; tract variables; upper airway; vocal tract; FOURIER-TRANSFORM;

D O I：

10.1109/TMI.2008.928920

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：323 / 338

页数：16

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