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

@article{citeulike:4155503, abstract = {<para> 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. </para>}, author = {Bresch, E. and Narayanan, S.}, booktitle = {Medical Imaging, IEEE Transactions on}, citeulike-article-id = {4155503}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/TMI.2008.928920}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4580124}, doi = {10.1109/TMI.2008.928920}, journal = {Medical Imaging, IEEE Transactions on}, keywords = {model-fitting, mri, segmentation}, number = {3}, pages = {323--338}, posted-at = {2009-03-09 16:05:05}, priority = {4}, title = {Region Segmentation in the Frequency Domain Applied to Upper Airway Real-Time Magnetic Resonance Images}, url = {http://dx.doi.org/10.1109/TMI.2008.928920}, volume = {28}, year = {2009} }

TY - JOUR ID - citeulike:4155503 L3 - citeulike-article-id:4155503 N2 - <para> 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. </para> IS - 3 JF - Medical Imaging, IEEE Transactions on EP - 338 TI - Region Segmentation in the Frequency Domain Applied to Upper Airway Real-Time Magnetic Resonance Images VL - 28 T2 - Medical Imaging, IEEE Transactions on SP - 323 KW - model-fitting KW - mri KW - segmentation AU - Bresch, E AU - Narayanan, S PY - 2009/// UR - http://dx.doi.org/10.1109/TMI.2008.928920 ER -