Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review
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Kecheng Liu | Sameer Singh | Jasjit S. Suri | Xiaolan Zeng | Swamy Laxminarayan | Laura Reden | S. Laxminarayan | X. Zeng | J. Suri | Sameer Singh | L. Reden | Kecheng Liu
[1] Jasjit S. Suri,et al. Computer Vision, Pattern Recognition and Image Processing in Left Ventricle Segmentation: The Last 50 Years , 2000, Pattern Analysis & Applications.
[2] Michael W. Vannier,et al. Editorial Car Special Issue Of The IEEE Transactions On Information Technology In Biomedicine , 1997, IEEE Trans. Inf. Technol. Biomed..
[3] R. Milne. An Adaptive Level Set Method , 1995 .
[4] James A. Sethian,et al. A real-time algorithm for medical shape recovery , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[5] O. Faugeras,et al. Variational principles, surface evolution, PDE's, level set methods and the stereo problem , 1998, 5th IEEE EMBS International Summer School on Biomedical Imaging, 2002..
[6] T. Chan,et al. A Variational Level Set Approach to Multiphase Motion , 1996 .
[7] Olivier D. Faugeras,et al. Co-dimension 2 Geodesic Active Contours for MRA Segmentation , 1999, IPMI.
[8] J. Wilhelms,et al. Octrees for faster isosurface generation , 1992, TOGS.
[9] Janusz Konrad,et al. Multiple motion segmentation with level sets , 2003, IEEE Trans. Image Process..
[10] James A. Sethian,et al. A unified approach to noise removal, image enhancement, and shape recovery , 1996, IEEE Trans. Image Process..
[11] L O Hall,et al. Review of MR image segmentation techniques using pattern recognition. , 1993, Medical physics.
[12] Alex M. Andrew,et al. Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science (2nd edition) , 2000 .
[13] James A. Sethian,et al. A Level Set Approach to a Unified Model for Etching, Deposition, and Lithography I: Algorithms and T , 1995 .
[14] Anthony J. Yezzi,et al. A geometric snake model for segmentation of medical imagery , 1997, IEEE Transactions on Medical Imaging.
[15] L. Evans,et al. Motion of level sets by mean curvature. II , 1992 .
[16] Alfred M. Bruckstein,et al. Tracking Level Sets by Level Sets: A Method for Solving the Shape from Shading Problem , 1995, Comput. Vis. Image Underst..
[17] J A Sethian,et al. A fast marching level set method for monotonically advancing fronts. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[18] Rachid Deriche,et al. Image Sequence Analysis via Partial Differential Equations , 1999, Journal of Mathematical Imaging and Vision.
[19] J. Sethian,et al. Crystal growth and dendritic solidification , 1992 .
[20] Yun-Gang Chen,et al. Uniqueness and existence of viscosity solutions of generalized mean curvature flow equations , 1989 .
[21] J. Ball. GENERALIZED SOLUTIONS OF HAMILTON-JACOBI EQUATIONS (Research Notes in Mathematics, 69) , 1983 .
[22] Paolo Cignoni,et al. Speeding Up Isosurface Extraction Using Interval Trees , 1997, IEEE Trans. Vis. Comput. Graph..
[23] Olivier D. Faugeras,et al. Codimension-two geodesic active contours for the segmentation of tubular structures , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[24] James A. Sethian,et al. Theory, algorithms, and applications of level set methods for propagating interfaces , 1996, Acta Numerica.
[25] James A. Sethian,et al. Flow under Curvature: Singularity Formation, Minimal Surfaces, and Geodesics , 1993, Exp. Math..
[26] William E. Lorensen,et al. Marching cubes: a high resolution 3D surface construction algorithm , 1996 .
[27] Anthony J. Yezzi,et al. A statistical approach to snakes for bimodal and trimodal imagery , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[28] Ross T. Whitaker,et al. Algorithms for implicit deformable models , 1995, Proceedings of IEEE International Conference on Computer Vision.
[29] J. Suri,et al. Advanced algorithmic approaches to medical image segmentation: state-of-the-art application in cardiology, neurology, mammography and pathology , 2001 .
[30] Olivier D. Faugeras,et al. Variational principles, surface evolution, PDEs, level set methods, and the stereo problem , 1998, IEEE Trans. Image Process..
[31] R. Kimmel,et al. Minimal surfaces: a geometric three dimensional segmentation approach , 1997 .
[32] Ron Kimmel,et al. A general framework for low level vision , 1998, IEEE Trans. Image Process..
[33] DericheRachid,et al. Image Sequence Analysis via Partial Differential Equations , 1999 .
[34] W. Lorensen,et al. Two algorithms for the three-dimensional reconstruction of tomograms. , 1988, Medical physics.
[35] P. Olver,et al. Conformal curvature flows: From phase transitions to active vision , 1996, ICCV 1995.
[36] Robert M. Haralick,et al. Greedy Algorithm for Error Correction in Automatically Produced Boundaries from Low Contrast Ventriculograms , 2000, Pattern Analysis & Applications.
[37] J. Sethian,et al. An O(N log N) algorithm for shape modeling. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[38] S. Osher,et al. Computing interface motion in compressible gas dynamics , 1992 .
[39] Janusz Konrad,et al. Motion segmentation with level sets , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).
[40] Douglas DeCarlo,et al. Topological Evolution of Surfaces , 1996, Graphics Interface.
[41] J. Sethian,et al. Dynamical behaviour of a premixed turbulent open V-flame , 1995 .
[42] David L. Chopp,et al. Computation of Self-Similar Solutions for Mean Curvature Flow , 1994, Exp. Math..
[43] D. Chopp. Numerical Computation of Self-Similar Solutions for Mean Curvature Fl ow , 1993 .
[44] Benjamin B. Kimia,et al. Shocks from images: propagation of orientation elements , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[45] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[46] Alexandre Lenoir,et al. Topology Preservation Within Digital Surfaces , 2000, Graph. Model..
[47] Luc Vincent,et al. Mathematical morphology: The Hamilton-Jacobi connection , 1993, 1993 (4th) International Conference on Computer Vision.
[48] S. Osher,et al. A level set approach for computing solutions to incompressible two-phase flow , 1994 .
[49] J. Sethian,et al. A geometric approach to segmentation and analysis of 3D medical images , 1996, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.
[50] Sameer Singh,et al. Advanced Algorithmic Approaches to Medical Image Segmentation , 2002, Advances in Computer Vision and Pattern Recognition.
[51] D. Chopp,et al. A Computed example of nonuniqueness of mean curvature flow in R3 , 1995 .
[52] J. Sethian. Numerical algorithms for propagating interfaces: Hamilton-Jacobi equations and conservation laws , 1990 .
[53] setsAbdol-Reza Mansouri. Minimum description length region tracking with level , 2000 .
[54] Kaleem Siddiqi,et al. Hyperbolic "Smoothing" of shapes , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[55] Demetri Terzopoulos,et al. Snakes: Active contour models , 2004, International Journal of Computer Vision.
[56] Han-Wei Shen,et al. A Near Optimal Isosurface Extraction Algorithm Using the Span Space , 1996, IEEE Trans. Vis. Comput. Graph..
[57] Robert T. Schultz,et al. Segmentation and Measurement of the Cortex from 3D MR Images , 1998, MICCAI.
[58] Baba C. Vemuri,et al. Shape Modeling with Front Propagation: A Level Set Approach , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[59] Tien-Tsin Wong,et al. Multiresolution Isosurface Extraction with Adaptive Skeleton Climbing , 1998, Comput. Graph. Forum.
[60] K Siddiqi,et al. Parts of Visual Form: Psychophysical Aspects , 1996, Perception.
[61] Françoise Dibos,et al. A morphological scheme for mean curvature motion and applications to anisotropic diffusion and motion of level sets , 1994, Proceedings of 1st International Conference on Image Processing.
[62] R. Malladi,et al. A unified geometric model for 3D confocal image analysis in cytology , 1998, Proceedings SIBGRAPI'98. International Symposium on Computer Graphics, Image Processing, and Vision (Cat. No.98EX237).
[63] Olivier D. Faugeras,et al. Statistical shape influence in geodesic active contours , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[64] Avinash C. Kak,et al. A deformable model for human organ extraction , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).
[65] Alfred M. Bruckstein,et al. Finding Shortest Paths on Surfaces Using Level Sets Propagation , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[66] Jacques-Olivier Lachaud,et al. Continuous Analogs of Digital Boundaries: A Topological Approach to Iso-Surfaces , 2000, Graph. Model..
[67] James A. Sethian,et al. Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid , 2012 .
[68] Janusz Konrad,et al. Minimum description length region tracking with level sets , 2000, Electronic Imaging.
[69] R Malladi,et al. Image processing via level set curvature flow. , 1995, Proceedings of the National Academy of Sciences of the United States of America.
[70] Gérard G. Medioni,et al. Detection of Intensity Changes with Subpixel Accuracy Using Laplacian-Gaussian Masks , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[71] O. Faugeras,et al. Statistical shape influence in geodesic active contours , 2002, 5th IEEE EMBS International Summer School on Biomedical Imaging, 2002..
[72] Rachid Deriche,et al. Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach , 2000, ECCV.
[73] Baba C. Vemuri,et al. A fast level set based algorithm for topology-independent shape modeling , 1996, Journal of Mathematical Imaging and Vision.
[74] S. Osher,et al. High-order essentially nonsocillatory schemes for Hamilton-Jacobi equations , 1990 .
[75] Rachid Deriche,et al. Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[76] Janusz Konrad,et al. Multiple motion segmentation with level sets , 2000, Electronic Imaging.
[77] Alfred M. Bruckstein,et al. Analyzing and Synthesizing Images by Evolving Curves with the Osher-Sethian Method , 1997, International Journal of Computer Vision.
[78] Baba C. Vemuri,et al. Evolutionary Fronts for Topology-Independent Shape Modeling and Recoveery , 1994, ECCV.
[79] Owen Robert Mitchell,et al. Edge Location to Subpixel Values in Digital Imagery , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[80] W. Eric L. Grimson,et al. Adaptive Segmentation of MRI Data , 1995, CVRMed.
[81] Sameer Singh,et al. Modeling Segmentation Via Geometric Deformable Regularizers, PDE and Level Sets in Still and Motion Imagery: A Revisit , 2001, Int. J. Image Graph..
[82] Ross T. Whitaker,et al. A Level-Set Approach to 3D Reconstruction from Range Data , 1998, International Journal of Computer Vision.
[83] Guillermo Sapiro,et al. Geodesic Active Contours , 1995, International Journal of Computer Vision.
[84] J. Sethian,et al. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .
[85] Guillermo Sapiro,et al. Three Dimensional Object Modeling via Minimal Surfaces , 1996, ECCV.
[86] Patrick Bouthemy,et al. Robust Adaptive Segmentation of 3D Medical Images with Level Sets , 1999 .
[87] Robert M. Haralick,et al. Automatic quadratic calibration for correction of pixel classification boundaries to an accuracy of 2.5 millimeters: an application in cardiac imaging , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).
[88] D. Louis Collins,et al. Automated extraction and variability analysis of sulcal neuroanatomy , 1999, IEEE Transactions on Medical Imaging.
[89] Guillermo Sapiro,et al. Region tracking on level-sets methods , 1999, IEEE Transactions on Medical Imaging.
[90] Sarah F. Frisken. Constrained Elastic Surface Nets: Generating Smooth Surfaces from Binary Segmented Data , 1998, MICCAI.
[91] Roman Goldenberg,et al. Fast Geodesic Active Contours , 1999, Scale-Space.
[92] J. Sethian. Curvature Flow and Entropy Conditions Applied to Grid Generation , 1994 .
[93] J. S. Suri,et al. Leaking prevention in fast level sets using fuzzy models: an application in MR brain , 2000, Proceedings 2000 IEEE EMBS International Conference on Information Technology Applications in Biomedicine. ITAB-ITIS 2000. Joint Meeting Third IEEE EMBS International Conference on Information Technol.
[94] Olivier D. Faugeras,et al. Unfolding the Cerebral Cortex Using Level Set Methods , 1999, Scale-Space.
[95] J. Sethian. AN ANALYSIS OF FLAME PROPAGATION , 1982 .
[96] James A. Sethian,et al. Image Processing: Flows under Min/Max Curvature and Mean Curvature , 1996, CVGIP Graph. Model. Image Process..
[97] M. Gage,et al. The heat equation shrinking convex plane curves , 1986 .
[98] Jitendra Malik,et al. Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[99] Alexis Gourdon,et al. Computing the Differential Characteristics of Isointensity Surfaces , 1995, Comput. Vis. Image Underst..
[100] James V. Miller,et al. Extracting geometric models through constraint minimization , 1990, Proceedings of the First IEEE Conference on Visualization: Visualization `90.
[101] Chang-Kyu Lee. Automated boundary tracing using temporal information , 1995 .
[102] Guillermo Sapiro,et al. Color Snakes , 1997, Comput. Vis. Image Underst..
[103] Sameer Singh,et al. Computer Vision and Pattern Recognition Techniques for 2-D and 3-D MR Cerebral Cortical Segmentation (Part I): A State-of-the-Art Review , 2002, Pattern Analysis & Applications.
[104] Jasjit S. Suri,et al. White Matter/Gray Matter Boundary Segmentation Using Geometric Snakes: A Fuzzy Deformable Model , 2001, ICAPR.
[105] Kaleem Siddiqi,et al. Area and length minimizing flows for shape segmentation , 1998, IEEE Trans. Image Process..
[106] Christopher J. Van Wyk,et al. Algorithms in C++: Fundamentals, Data Structures, Sorting, Searching , 1998 .
[107] D. Chopp. Computing Minimal Surfaces via Level Set Curvature Flow , 1993 .
[108] V. Caselles,et al. A geometric model for active contours in image processing , 1993 .
[109] Marko Subasic,et al. Level Set Methods and Fast Marching Methods , 2003 .
[110] James A. Sethian,et al. The Fast Construction of Extension Velocities in Level Set Methods , 1999 .
[111] Azriel Rosenfeld,et al. Digital topology: Introduction and survey , 1989, Comput. Vis. Graph. Image Process..
[112] Fritz Albregtsen,et al. Fast Computation of Three-Dimensional Geometric Moments Using a Discrete Divergence Theorem and a Generalization to Higher Dimensions , 1997, CVGIP Graph. Model. Image Process..
[113] Gilles Aubert,et al. Some Remarks on the Equivalence between 2D and 3D Classical Snakes and Geodesic Active Contours , 2004, International Journal of Computer Vision.
[114] Baba C. Vemuri,et al. Hybrid Geometric Active Models for Shape Recovery in Medical Images , 1999, IPMI.
[115] Jasjit S. Suri. Fast WM/GM boundary segmentation from MR images using the relationship between parametric and geometric deformable models , 2001 .
[116] Alfred M. Bruckstein,et al. Global Shape from Shading , 1996, Comput. Vis. Image Underst..
[117] A. Yezzi,et al. On the relationship between parametric and geometric active contours , 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).
[118] C VemuriBaba,et al. Shape Modeling with Front Propagation , 1995 .
[119] M. Grayson. The heat equation shrinks embedded plane curves to round points , 1987 .
[120] Jacques-Olivier Lachaud,et al. Deformable meshes with automated topology changes for coarse-to-fine three-dimensional surface extraction , 1999, Medical Image Anal..
[121] Pierre Hellier,et al. Cooperation between level set techniques and dense 3D registration for the segmentation of brain structures , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[122] P. Colella,et al. Local adaptive mesh refinement for shock hydrodynamics , 1989 .
[123] S. Osher,et al. A Simple Level Set Method for Solving Stefan Problems , 1997, Journal of Computational Physics.
[124] Olivier D. Faugeras,et al. Level Sets and Distance Functions , 2000, ECCV.
[125] E. Rouy,et al. A viscosity solutions approach to shape-from-shading , 1992 .
[126] Max A. Viergever,et al. Geodesic deformable models for medical image analysis , 1998, IEEE Transactions on Medical Imaging.
[127] J. Sethian,et al. A Fast Level Set Method for Propagating Interfaces , 1995 .
[128] Shunhua Cao,et al. Finite-difference solution of the eikonal equation using an efficient, first-arrival, wavefront tracking scheme , 1994 .
[129] Guillermo Sapiro,et al. Implementing continuous-scale morphology via curve evolution , 1993, Pattern Recognit..
[130] Benjamin B. Kimia,et al. On the evolution of curves via a function of curvature , 1992 .
[131] J. Sethian,et al. FRONTS PROPAGATING WITH CURVATURE DEPENDENT SPEED: ALGORITHMS BASED ON HAMILTON-JACOB1 FORMULATIONS , 2003 .
[132] Robert T. Schultz,et al. Segmentation and Measurement of the Cortex from 3D MR Images , 1998, MICCAI.