@inproceedings{110028a2c1354104999952c27730e973,
title = "Volumetric segmentation via 3D active shape models",
abstract = "A volumetric image segmentation algorithm has been developed and implemented by extending a 2D algorithm based on active shape models. The new technique allows segmentation of 3D objects that are embedded within volumetric image data. The extension from 2D involved four components: landmarking, shape modeling, gray-level modeling, and segmentation. Algorithms and software tools have been implemented to allow a user to efficiently landmark a 3D object training set. Additional tools were built that subsequently,, generate models of 3D object shape and gray-level appearance based on this training data. An object segmentation strategy was implemented that optimizes these models to segment a previously unseen instance of the object. Results of this new 3D segmentation algorithm have been generated for a synthetic volumetric data set.",
keywords = "Active shape model, Computed tomography, Data analysis, Deformable models, Electrical capacitance tomography, Image segmentation, Instruments, Laboratories, Magnetic resonance imaging, Statistics",
author = "Dickens, \{M. M.\} and Gleason, \{S. S.\} and H. Sari-Sarraf",
note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; 5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002 ; Conference date: 07-04-2002 Through 09-04-2002",
year = "2002",
doi = "10.1109/IAI.2002.999927",
language = "English",
series = "Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "248--252",
booktitle = "Proceedings - 5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002",
}