TY - JOUR
T1 - United Snakes
AU - Liang, Jianming
AU - McInerney, Tim
AU - Terzopoulos, Demetri
N1 - Funding Information:
This work was carried out at the Turku Centre for Computer Science, Turku, Finland, and in the Department of Computer Science, University of Toronto, Toronto, Canada. J. Liang thanks the Turku Centre for Computer Science and the Science Foundation of Instrumentarium Corporation (now GE Healthcare) for their financial support, as well as the Faculty of Mathematics and Natural Sciences of the University of Turku for a faculty research award that supported the dynamic chest image analysis project. The authors gratefully acknowledge the insightful comments and suggestions of Prof. Alexandre X. Falcão, Prof. Pascal Fua, Prof. Dariu M. Gavrila, Prof. Timo Järvi, Prof. Ron Kimmel, Dr. Aaro Kiuru, Prof. Martti Kormano, Prof. Eric Mortensen, Dr. Erkki Svedström, Prof. Jayaram K. Udupa, and the anonymous referees. The chest images were acquired by Dr. Raimo Virkki and provided by Dr. Aaro Kiuru. The growth plate image was provided by Prof. Martti Kormano and Dr. Matti Sauna-aho. The mammogram was provided by Prof. Olli Navalainen. The cell image was obtained from Dr. Kristen Harris of the Harvard Medical School. The retinal angiogram was obtained from Dr. Piotr Jasiobedzki. The angiogram and spine images were provided courtesy of Eric Mortensen of Brigham Young University. The bladder image and the corpus callosum images were provided courtesy of Johannes Hug of Swiss Federal Institute of Technology, Switzerland. The MR wrist images were provided courtesy of Dr. Alexandre X. Falcão of State University of Campinas, Brazil.
Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2006/4
Y1 - 2006/4
N2 - Since their debut in 1987, snakes (active contour models) have become a standard image analysis technique with several variants now in common use. We present a framework called "United Snakes", which has two key features. First, it unifies the most popular snake variants, including finite difference, B-spline, and Hermite polynomial snakes in a consistent finite element formulation, thus expanding the range of object modeling capabilities within a uniform snake construction process. Second, it embodies the idea that the heretofore presumed competing technique known as "live wire" or "intelligent scissors" is in fact complementary to snakes and that the two techniques can advantageously be combined by introducing an effective hard constraint mechanism. The United Snakes framework amplifies the efficiency and reproducibility of the component techniques, and it offers more flexible interactive control while further minimizing user interactions. We apply United Snakes to several different medical image analysis tasks, including the segmentation of neuronal dendrites in EM images, dynamic chest image analysis, the quantification of growth plates in MR images and the isolation of the breast region in mammograms, demonstrating the generality, accuracy and robustness of the tool.
AB - Since their debut in 1987, snakes (active contour models) have become a standard image analysis technique with several variants now in common use. We present a framework called "United Snakes", which has two key features. First, it unifies the most popular snake variants, including finite difference, B-spline, and Hermite polynomial snakes in a consistent finite element formulation, thus expanding the range of object modeling capabilities within a uniform snake construction process. Second, it embodies the idea that the heretofore presumed competing technique known as "live wire" or "intelligent scissors" is in fact complementary to snakes and that the two techniques can advantageously be combined by introducing an effective hard constraint mechanism. The United Snakes framework amplifies the efficiency and reproducibility of the component techniques, and it offers more flexible interactive control while further minimizing user interactions. We apply United Snakes to several different medical image analysis tasks, including the segmentation of neuronal dendrites in EM images, dynamic chest image analysis, the quantification of growth plates in MR images and the isolation of the breast region in mammograms, demonstrating the generality, accuracy and robustness of the tool.
KW - Active contours
KW - Breast region isolation
KW - Dynamic chest image analysis
KW - Finite elements
KW - Growth plate quantification
KW - Intelligent scissors
KW - Interactive image analysis
KW - Live wire
KW - Neuronal dendrite segmentation
KW - Snakes
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U2 - 10.1016/j.media.2005.09.002
DO - 10.1016/j.media.2005.09.002
M3 - Article
C2 - 16311065
AN - SCOPUS:31744438649
SN - 1361-8415
VL - 10
SP - 215
EP - 233
JO - Medical image analysis
JF - Medical image analysis
IS - 2
ER -