Literature DB >> 16311065

United snakes.

Jianming Liang1, Tim McInerney, Demetri Terzopoulos.   

Abstract

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.

Entities:  

Mesh:

Year:  2005        PMID: 16311065     DOI: 10.1016/j.media.2005.09.002

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  15 in total

1.  An efficient automated algorithm to detect ocular surface temperature on sequence of thermograms using snake and target tracing function.

Authors:  Jen Hong Tan; E Y K Ng; Rajendra Acharya U
Journal:  J Med Syst       Date:  2010-07-07       Impact factor: 4.460

Review 2.  PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques.

Authors:  Habib Zaidi; Issam El Naqa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-03-25       Impact factor: 9.236

3.  Joint graph cut and relative fuzzy connectedness image segmentation algorithm.

Authors:  Krzysztof Chris Ciesielski; Paulo A V Miranda; Alexandre X Falcão; Jayaram K Udupa
Journal:  Med Image Anal       Date:  2013-07-03       Impact factor: 8.545

4.  Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation.

Authors:  Zongwei Zhou; Jae Shin; Ruibin Feng; R Todd Hurst; Christopher B Kendall; Jianming Liang
Journal:  J Digit Imaging       Date:  2019-04       Impact factor: 4.056

5.  Discovering mammography-based machine learning classifiers for breast cancer diagnosis.

Authors:  Raúl Ramos-Pollán; Miguel Angel Guevara-López; Cesar Suárez-Ortega; Guillermo Díaz-Herrero; Jose Miguel Franco-Valiente; Manuel Rubio-Del-Solar; Naimy González-de-Posada; Mario Augusto Pires Vaz; Joana Loureiro; Isabel Ramos
Journal:  J Med Syst       Date:  2011-04-09       Impact factor: 4.460

6.  Automated measurement of fracture callus in radiographs using portable software.

Authors:  Stephen M Porter; Hannah L Dailey; Katherine A Hollar; Karina Klein; James A Harty; Trevor J Lujan
Journal:  J Orthop Res       Date:  2016-01-18       Impact factor: 3.494

7.  Segmentation of the common carotid artery walls based on a frequency implementation of active contours: segmentation of the common carotid artery walls.

Authors:  M Consuelo Bastida-Jumilla; Rosa M Menchón-Lara; Juan Morales-Sánchez; Rafael Verdú-Monedero; Jorge Larrey-Ruiz; José Luis Sancho-Gómez
Journal:  J Digit Imaging       Date:  2013-02       Impact factor: 4.056

8.  GC-ASM: Synergistic Integration of Graph-Cut and Active Shape Model Strategies for Medical Image Segmentation.

Authors:  Xinjian Chen; Jayaram K Udupa; Abass Alavi; Drew A Torigian
Journal:  Comput Vis Image Underst       Date:  2013-05       Impact factor: 3.876

9.  Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR images.

Authors:  Nirmalya Ghosh; Yu Sun; Bir Bhanu; Stephen Ashwal; Andre Obenaus
Journal:  Med Image Anal       Date:  2014-05-16       Impact factor: 8.545

10.  Iterative active deformational methodology for tumor delineation: Evaluation across radiation treatment stage and volume.

Authors:  D H Wu; A D Shaffer; D M Thompson; Z Yang; V A Magnotta; R Alam; J Suri; W T C Yuh; N A Mayr
Journal:  J Magn Reson Imaging       Date:  2008-11       Impact factor: 4.813

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