@inproceedings{49773bb4949948c1902225f6c10ad64b,
title = "Medical image segmentation and localization using deformable templates",
abstract = "This paper presents deformable templates as a tool for segmentation and localization of biological structures in medical images. Structures are represented by a prototype template, combined with a parametric warp mapping used to deform the original shape. The localization procedure is achieved using a multi-stage, multi-resolution algorithm designed to reduce computational complexity and time. The algorithm initially identifies regions in the image most likely to contain the desired objects and then examines these regions at progressively increasing resolutions. The final stage of the algorithm involves warping the prototype template to match the localized objects. The algorithm is presented along with the results of four example applications using MRI, x-ray and ultrasound images.",
keywords = "Deformable template, Localization, Medical imaging, Multi-resolution algorithm, Segmentation",
author = "Spiller, {J. M.} and T. Marwala",
note = "Publisher Copyright: {\textcopyright} International Federation for Medical and Biological Engineering 2007.; 10th World Congress on Medical Physics and Biomedical Engineering, WC 2006 ; Conference date: 27-08-2006 Through 01-09-2006",
year = "2007",
doi = "10.1007/978-3-540-36841-0_578",
language = "English",
isbn = "9783540368397",
series = "IFMBE Proceedings",
publisher = "Springer Verlag",
number = "1",
pages = "2292--2295",
editor = "Kim, {Sun I.} and Suh, {Tae Suk}",
booktitle = "IFMBE Proceedings",
address = "Germany",
edition = "1",
}