Literature DB >> 11607632

A fast marching level set method for monotonically advancing fronts.

J A Sethian1.   

Abstract

A fast marching level set method is presented for monotonically advancing fronts, which leads to an extremely fast scheme for solving the Eikonal equation. Level set methods are numerical techniques for computing the position of propagating fronts. They rely on an initial value partial differential equation for a propagating level set function and use techniques borrowed from hyperbolic conservation laws. Topological changes, corner and cusp development, and accurate determination of geometric properties such as curvature and normal direction are naturally obtained in this setting. This paper describes a particular case of such methods for interfaces whose speed depends only on local position. The technique works by coupling work on entropy conditions for interface motion, the theory of viscosity solutions for Hamilton-Jacobi equations, and fast adaptive narrow band level set methods. The technique is applicable to a variety of problems, including shape-from-shading problems, lithographic development calculations in microchip manufacturing, and arrival time problems in control theory.

Year:  1996        PMID: 11607632      PMCID: PMC39986          DOI: 10.1073/pnas.93.4.1591

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  1 in total

1.  Image processing via level set curvature flow.

Authors:  R Malladi; J A Sethian
Journal:  Proc Natl Acad Sci U S A       Date:  1995-07-18       Impact factor: 11.205

  1 in total
  152 in total

1.  Fast methods for the Eikonal and related Hamilton- Jacobi equations on unstructured meshes.

Authors:  J A Sethian; A Vladimirsky
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-23       Impact factor: 11.205

2.  A system for the generation of curves on 3D brain images.

Authors:  A Bartesaghi; G Sapiro
Journal:  Hum Brain Mapp       Date:  2001-09       Impact factor: 5.038

Review 3.  Replacing iterative algorithms with single-pass algorithms.

Authors:  D L Chopp
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-25       Impact factor: 11.205

4.  Ordered upwind methods for static Hamilton-Jacobi equations.

Authors:  J A Sethian; A Vladimirsky
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-25       Impact factor: 11.205

5.  Fast-phase space computation of multiple arrivals.

Authors:  S Fomel; J A Sethian
Journal:  Proc Natl Acad Sci U S A       Date:  2002-05-28       Impact factor: 11.205

6.  Automated quantification of carotid artery stenosis on contrast-enhanced MRA data using a deformable vascular tube model.

Authors:  Avan Suinesiaputra; Patrick J H de Koning; Elena Zudilova-Seinstra; Johan H C Reiber; Rob J van der Geest
Journal:  Int J Cardiovasc Imaging       Date:  2011-12-09       Impact factor: 2.357

7.  Tracking monotonically advancing boundaries in image sequences using graph cuts and recursive kernel shape priors.

Authors:  Joshua C Chang; K C Brennan; Tom Chou
Journal:  IEEE Trans Med Imaging       Date:  2011-12-05       Impact factor: 10.048

8.  The Voronoi Implicit Interface Method for computing multiphase physics.

Authors:  Robert I Saye; James A Sethian
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-21       Impact factor: 11.205

9.  Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework.

Authors:  Ke Zeng; Spyridon Bakas; Aristeidis Sotiras; Hamed Akbari; Martin Rozycki; Saima Rathore; Sarthak Pati; Christos Davatzikos
Journal:  Brainlesion       Date:  2017-04-12

10.  GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation.

Authors:  Spyridon Bakas; Ke Zeng; Aristeidis Sotiras; Saima Rathore; Hamed Akbari; Bilwaj Gaonkar; Martin Rozycki; Sarthak Pati; Christos Davatzikos
Journal:  Brainlesion       Date:  2016
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.