Literature DB >> 10972323

T-snakes: topology adaptive snakes.

T McInerney1, D Terzopoulos.   

Abstract

We present a new class of deformable contours (snakes) and apply them to the segmentation of medical images. Our snakes are defined in terms of an affine cell image decomposition (ACID). The 'snakes in ACID' framework significantly extends conventional snakes, enabling topological flexibility among other features. The resulting topology adaptive snakes, or 'T-snakes', can be used to segment some of the most complex-shaped biological structures from medical images in an efficient and highly automated manner.

Mesh:

Year:  2000        PMID: 10972323     DOI: 10.1016/s1361-8415(00)00008-6

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


  22 in total

1.  Fast detection and characterization of vessels in very large 3-D data sets using geometrical moments.

Authors:  C Toumoulin; C Boldak; J L Dillenseger; J L Coatrieux; Y Rolland
Journal:  IEEE Trans Biomed Eng       Date:  2001-05       Impact factor: 4.538

2.  Self-crossing detection and location for parametric active contours.

Authors:  Arie Nakhmani; Allen Tannenbaum
Journal:  IEEE Trans Image Process       Date:  2012-02-23       Impact factor: 10.856

3.  Topological correction of brain surface meshes using spherical harmonics.

Authors:  Rachel Aine Yotter; Robert Dahnke; Paul M Thompson; Christian Gaser
Journal:  Hum Brain Mapp       Date:  2010-07-27       Impact factor: 5.038

4.  A geometric database for gene expression data.

Authors:  Tao Ju; Joe Warren; Gregor Eichele; Christina Thaller; Wah Chiu; James Carson
Journal:  Symp Geom Process       Date:  2003

5.  Multi-object segmentation framework using deformable models for medical imaging analysis.

Authors:  Rafael Namías; Juan Pablo D'Amato; Mariana Del Fresno; Marcelo Vénere; Nicola Pirró; Marc-Emmanuel Bellemare
Journal:  Med Biol Eng Comput       Date:  2015-09-21       Impact factor: 2.602

6.  Coronary artery segmentation using geometric moments based tracking and snake-driven refinement.

Authors:  Kun Chen; Yong Zhang; Kilian Pohl; Tanveer Syeda-Mahmood; Zhihuan Song; Stephen T C Wong
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

7.  Comparative evaluation of active contour model extensions for automated cardiac MR image segmentation by regional error assessment.

Authors:  Duy Nguyen; Karen Masterson; Jean-Paul Vallée
Journal:  MAGMA       Date:  2007-03-06       Impact factor: 2.310

8.  Segmentation of brain MR images using a charged fluid model.

Authors:  Herng-Hua Chang; Daniel J Valentino; Gary R Duckwiler; Arthur W Toga
Journal:  IEEE Trans Biomed Eng       Date:  2007-10       Impact factor: 4.538

9.  Computerized analysis of coronary artery disease: performance evaluation of segmentation and tracking of coronary arteries in CT angiograms.

Authors:  Chuan Zhou; Heang-Ping Chan; Aamer Chughtai; Jean Kuriakose; Prachi Agarwal; Ella A Kazerooni; Lubomir M Hadjiiski; Smita Patel; Jun Wei
Journal:  Med Phys       Date:  2014-08       Impact factor: 4.071

10.  2D Fast Vessel Visualization Using a Vessel Wall Mask Guiding Fine Vessel Detection.

Authors:  Sotirios Raptis; Dimitris Koutsouris
Journal:  Int J Biomed Imaging       Date:  2010-07-29
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.