posto qui tutta la mia biblio..
`
@inproceedings{art:baillard,author = {Baillard, C. and Barillot, Christian},title = {Robust 3D Segmentation of Anatomical Structures with Level Sets},
booktitle = {Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention},series = {MICCAI '00},
year = {2000},isbn = {3-540-41189-5},pages = {236–245},numpages = {10},url = {http://portal.acm.org/citation.cfm?id=646923.710376},
acmid = {710376},publisher = {Springer-Verlag},address = {London, UK}}
@phdthesis{tesi:deschamps,
author = {T.~Deschamps},
title = {Curve and Shape Extraction with Minimal Path and Level-Sets techniques – Applications to {3D} Medical Imaging},
school = {Universit{\'e} Paris-IX Dauphine},
year = {2001},
address = {Place du mar{\'e}chal de Lattre de Tassigny, 75775 Paris Cedex},
month = dec
}
@MISC{art:suri,
author = {Jasjit S. Suri and Sameer Singh and Swamy Laxminarayan and Xiaolan Zeng and Kecheng Liu and Laura Reden},
title = {Shape Recovery Algorithms Using Level Sets in 2-D/3-D Medical Imagery: A State-of-the-Art Review},
year = {2001}
}
@article{art:wang, title={Improving geometric model construction for blood flow modeling}, volume={18}, url={http://ieeexplore.ieee.org/stampPDF/getPDF.jsp?tp=&arnumber=805142}, abstract={We have applied an active contour method based on level sets to the problem of image-based model construction for computational hemodynamics. The geometric nature of the segmentation algorithm makes it suitable for use with solid modeling techniques. Using the methodology shown, we have constructed models that are appropriate for use with blood flow simulation applications. We are currently extending these methods to address limitations of the current approach, including issues related to 3-D geometric accuracy and mesh quality.}, number={6}, journal={Engineering in Medicine and Biology Magazine IEEE}, author={Wang, K C and Dutton, R W and Taylor, C A}, year={1999}, pages={33–39}}
@article{art:antiga, title={Geometric Reconstruction for Computational Mesh Generation of Arterial Bifurcations from CT Angiography}, volume={26}, url={http://www.ncbi.nlm.nih.gov/pubmed/12074917}, abstract={A methodology for patient-specific model reconstruction and computational mesh generation of arterial bifurcations from angio-CT scans is presented. Three-dimensional models were reconstructed with a level set technique, analyzed with a skeletoning algorithm and automatically decomposed into branches. Cooper scheme was then employed to generate high quality hexahedral mesh. We successfully applied our technique to the carotid bifurcations of two patients affected by severe atherosclerotic plaques. The proposed technique is fast, accurate and reproducible, and can be a useful tool for the evaluation of arterial fluid dynamics within conventional computed tomography investigations. q 2002 Elsevier Science Ltd. All rights reserved}, number={4}, journal={Computerized Medical Imaging and Graphics}, author={Antiga, Luca and Ene-Iordache, Bogdan and Caverni, Lionello and Cornalba, Gian Paolo and Remuzzi, Andrea}, year={2002}, pages={227–235}}
@article{art:ladak,
author = {H. M. Ladak and J. S. Milner and D. A. Steinman},
collaboration = {},
title = {Rapid Three-Dimensional Segmentation of the Carotid Bifurcation From Serial MR Images},
publisher = {ASME},
year = {2000},
journal = {Journal of Biomechanical Engineering},
volume = {122},
number = {1},
pages = {96-99},
keywords = {NMR imaging; blood flow measurement; blood vessels; haemodynamics; finite element analysis},
url = {http://link.aip.org/link/?JBY/122/96/1},
doi = {10.1115/1.429646}
}
@article{art:lorensen,
author = {Lorensen, William E. and Cline, Harvey E.},
title = {Marching cubes: A high resolution 3D surface construction algorithm},
journal = {SIGGRAPH Comput. Graph.},
volume = {21},
issue = {4},
month = {August},
year = {1987},
issn = {0097-8930},
pages = {163–169},
numpages = {7},
url = {http://doi.acm.org/10.1145/37402.37422},
doi = {http://doi.acm.org/10.1145/37402.37422},
acmid = {37422},
publisher = {ACM},
address = {New York, NY, USA},
}
@inproceedings{art:malladi,
author = {Malladi, R. and Sethian, J. A.},
title = {A Real-Time Algorithm for Medical Shape Recovery},
booktitle = {Proceedings of the Sixth International Conference on Computer Vision},
series = {ICCV '98},
year = {1998},
isbn = {81-7319-221-9},
pages = {304–},
url = {http://portal.acm.org/citation.cfm?id=938978.939106},
acmid = {939106},
publisher = {IEEE Computer Society},
address = {Washington, DC, USA},
}
@inproceedings{art:mcinerney,
author = {McInerney, T. and Terzopoulos, D.},
title = {Topologically adaptable snakes},
booktitle = {Proceedings of the Fifth International Conference on Computer Vision},
series = {ICCV '95},
year = {1995},
isbn = {0-8186-7042-8},
pages = {840–},
url = {http://portal.acm.org/citation.cfm?id=839277.840040},
acmid = {840040},
publisher = {IEEE Computer Society},
address = {Washington, DC, USA},
keywords = {2D model, complicated shapes, deforming snakes model, domain subdivision, edge detection, image representation, image segmentation, object representation, parametric snakes model representation, simplicial decompositio, simplicial grid, topological adaptability, topologically adaptable snakes, user interaction},
}
@article{art:sethian,
author = {Andrew, Alex M.},
title = {LEVEL SET METHODS AND FAST MARCHING METHODS: EVOLVING INTERFACES IN COMPUTATIONAL GEOMETRY, FLUID MECHANICS, COMPUTER VISION, AND MATERIALS SCIENCE, by J.A. Sethian, Cambridge University Press, Cambridge, UK, 2nd edn. 1999 (first published 1996 as Level Set Methods) xviii \+ 420\ pp., ISBN (paperback) 0-521-64557-3, (hardback) 0-521-64204-3 (Pbk, \£18.95)},
journal = {Robotica},
volume = {18},
issue = {1},
month = {January},
year = {2000},
issn = {0263-5747},
pages = {89–92},
numpages = {4},
url = {http://portal.acm.org/citation.cfm?id=980371.980382},
acmid = {980382},
publisher = {Cambridge University Press},
address = {New York, NY, USA},
}
@inproceedings{art:vanbemmel,
volume = {4684},
author = {C.M. {van Bemmel} and L.J. {Spreeuwers} and B. {Verdonck} and M.A. {Viergever} and W.J. {Niessen}},
series = {Proceedings of SPIE},
booktitle = {Proceedings of SPIE Medical Imaging},
address = {Bellington, Washington, USA},
title = {Blood Pool Agent Contrast-Enhanced MRA: Level-Set Based Artery-Vein Separation},
publisher = {SPIE – The International Society for Optical Engineering},
pages = {1464–1475},
year = {2002},
url = {http://doc.utwente.nl/62538/},
abstract = {Blood pool agents (BPAs) for contrast-enhanced magnetic resonance angiography (CE-MRA) allow prolonged imaging times for higher contrast and resolution by imaging during the steady state when the contrast agent is distributed through the complete vascular system. However, simultaneous arterial and venous enhancement hampers interpretation. It is shown that venous and arterial segmentation in this equilibrium phase can be achieved if the central arterial axis (CAA) and central venous axis (CVA) are known. Since the CAA cannot straightforwardly be obtained from the steady-state data, images acquired during the first pass of the contrast agent can be utilized to determine the CAA with minimal user initialization. Utilizing the CAA to provide a rough arterial segmentation, the CVA can subsequently be determined from the steady-state dataset. The final segmentations of the arteries and veins are achieved by simultaneously evolving two level-sets in the steady-state dataset starting from the CAA and CVA.}
}
@inproceedings{art:vanbemmel2,
volume = {2489},
author = {C.M. {Bemmel} van and L.J. {Spreeuwers} and M.A. {Viergever} and W.J. {Niessen}},
series = {Lecture Notes in Computer Science},
booktitle = {Medical Image Computing and Computer-Assisted Intervention – MICCAI 2002},
address = {Berlin},
title = {Level-Set Based Carotid Artery Segmentation for Stenosis Grading},
publisher = {Springer Verlag},
pages = {36–43},
year = {2002},
url = {http://doc.utwente.nl/65109/},
abstract = {A semi-automated method is presented for the determination of the degree of stenosis of the internal carotid artery (ICA) in 3D contrast-enhanced (CE) MR angiograms. Hereto, we determined the central vessel axis (CA), which subsequently is used as an initialization for a level-set based segmentation of the stenosed carotid artery. The degree of stenosis is determined by calculating the average diameters of cross-sectional planes along the CA. For twelve ICAs the degree of stenosis was determined and correlated with the scores of two experts (NASCET criterion). The Spearman?s correlation coefficient for the proposed method was 0.96 (p<0.001), versus 0.89 and 0.88 (p<0.001) for the manual scores, and a smaller bias and tighter confidence bounds for the automated method were found.}
}
@article{art:whitaker,
author = {Whitaker, Ross T.},
title = {A Level-Set Approach to 3D Reconstruction from Range Data},
journal = {Int. J. Comput. Vision},
volume = {29},
issue = {3},
month = {September},
year = {1998},
issn = {0920-5691},
pages = {203–231},
numpages = {29},
url = {http://portal.acm.org/citation.cfm?id=299660.299682},
doi = {10.1023/A:1008036829907},
acmid = {299682},
publisher = {Kluwer Academic Publishers},
address = {Hingham, MA, USA},
keywords = {Bayesian estimation, deformable models, level sets, range data, surface reconstruction},
}
ʌ79;@incollection {springerlink:10.1007/978-3-540-40899-4_24,
author = {Baillard, C. and Barillot, C.},
affiliation = {IRISA-INRIA/CNRS, Campus de Beaulieu, 35042 Rennes cedex, France},
title = {Robust 3D Segmentation of Anatomical Structures with Level Sets},
booktitle = {Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000},
series = {Lecture Notes in Computer Science},
editor = {Delp, Scott and DiGoia, Anthony and Jaramaz, Branislav},
publisher = {Springer Berlin / Heidelberg},
isbn = {},
pages = {236-245},
volume = {1935},
url = {http://dx.doi.org/10.1007/978-3-540-40899-4_24},
note = {10.1007/978-3-540-40899-4_24},
year = {2000}
}
@article{art:delingette,
title = “Shape and Topology Constraints on Parametric Active Contours”,
journal = “Computer Vision and Image Understanding”,
volume = “83”,
number = “2”,
pages = “140 – 171”,
year = “2001”,
note = “”,
issn = “1077-3142”,
doi = “DOI: 10.1006/cviu.2001.0920”,
url = “http://www.sciencedirect.com/science/article/pii/S1077314201909208”,
author = “H. Delingette and J. Montagnat”
}
@article{art:attali,title = “Delaunay conforming iso-surface, skeleton extraction and noise removal”,journal = “Computational Geometry”,
volume = “19”,number = “2-3”,pages = “175 – 189”,year = “2001”,issn = “0925-7721”,doi = “DOI: 10.1016/S0925-7721(01)00019-0”,
url = “http://www.sciencedirect.com/science/article/pii/S0925772101000190”,author = “D. Attali and J. -O. Lachaud”,keywords = “Volumetric imaging”,
keywords = “Iso-surface”,keywords = “Delaunay tetrahedrization”,keywords = “Skeleton”,keywords = “Voronoi graph”}
@article{art:sifakis,
title = “Bayesian Level Sets for Image Segmentation”,
journal = “Journal of Visual Communication and Image Representation”,
volume = “13”,
number = “1-2”,
pages = “44 – 64”,
year = “2002”,
note = “”,
issn = “1047-3203”,
doi = “DOI: 10.1006/jvci.2001.0474”,
url = “http://www.sciencedirect.com/science/article/pii/S1047320301904742”,
author = “Eftichis Sifakis and Christophe Garcia and Georgios Tziritas”
}
%Da cercare!
@PhdThesis{tesi:wood,
Author = {Z.J. Wood},
Title = {Semi-regular mesh extraction from volumes},
School = {Caltech Pasadena},
year = 2001
}
@PhdThesis{tesi:sethian,
Author = {J.A. Sethian},
Title = {Level Set Methods and Fast Marching Methods},
School = {University of California, at Berckly},
year = 1982
}
@Book{libro:alfio,
Author = {A. Quarteroni, R. Sacco, F. Saleri},
Title = {Numerical mathematics},
Publisher = {Springer},
year = 2000
}
@Article{art:delingette2,
Author = {H. Delingette},
Title = {General Object Recostruction Based on Simplex Meshes},
Journal = {International Journal of Computer Vision},
year = 1999
}
@Book{libro:vtk,
Author = {W. Schroeder et al.},
Title = {The Visualization Toolkit},
Publisher = {Prentice Hall},
year = 1998
}
@Article{art:sethian2,
Author = {J.A. Sethian},
Title = {Level Set Methods and Fast Marching Methods},
Journal = {Cambridge University Press},
year = 1999
}
@Article{art:xu,
Author = {C. Xu and J.L. Prince},
Title = {Snakes, shapes and gradient vector flow},
Journal = {IEEE transactions on Image Processing},
year = 1998
}
@Article{art:sapiro,
Author = {V. Caselles, R. Kimmel and G. Sapiro},
Title = {Geodesic active contours},
Journal = {Internationa Conference on Computer Vision},
year = 1995
}
@PhdThesis{tesi:antiga,
Author = {L. Antiga},
Title = {Patient-Specific Modeling of Geometry and Blood Flow
in Large Arteries},
School = {Politecnico di Milano},
year = 2002
}
@Misc{art:jean,
Author = {J. Bonnemain},
Title = {From Medical Images to Numerical Simulations},
type = {Report},
year = 2009
}
%%%%%%%%%%%%%%%Siti
@Misc{site:dicom,
Author = {NEMA},
Title = {Dicom standard.},
url = {http://medical.nema.org/}
}
@Misc{site:hounsfield,
Author = {Wikipedia},
Title = {Godfrey Hounsfield.},
url = {http://en.wikipedia.org/wiki/Godfrey_Hounsfield}
}
@Misc{site:CT3,
Author = {NDT Resource Center},
Title = {Brief History of CT},
url = {http://www.imaginis.com/ct-scan/brief-history-of-ct}
}
@Misc{site:US,
Author = {Wikipedia},
Title = {Medical ultrasonography},
url = {http://en.wikipedia.org/wiki/Medical_ultrasonography}
}
@Misc{site:CT,
Author = {Wikipedia},
Title = {X-ray computed tomography},
url = {http://en.wikipedia.org/wiki/X-ray_computed_tomography}
}
@Misc{site:cormack,
Author = {Wikipedia},
Title = {Allan Cormack.},
url = {http://en.wikipedia.org/wiki/Allan_Cormack}
}
@Misc{site:cfd,
Author = {Wikipedia},
Title = {Computational fluid dynamics},
url = {http://en.wikipedia.org/wiki/Computational_fluid_dynamics}
}
@Misc{site:CT2,
Author = {NDT Resource Center},
Title = {Computed Tomography},
url = {http://www.ndt-ed.org/EducationResources/CommunityCollege/Radiography/AdvancedTechniques/computedtomography.htm}
}
@Misc{site:larmor,
Author = {Wikipedia},
Title = {The Larmor frequency.},
url = {http://en.wikipedia.org/wiki/Larmor_precession}
}
@Misc{site:vmtk,
Author = {Wikipedia},
Title = {VMTK: the Vascular Modeling ToolKit},
url = {http://www.vmtk.org}
}
@Misc{site:radon,
Author = {Wikipedia},
Title = {The Radon transform.},
url = {http://en.wikipedia.org/wiki/Radon_transform}
}
@Misc{site:medical_vis,
Author = {Wikipedia},
Title = {Medical Imaging},
url = {http://en.wikipedia.org/wiki/Medical_imaging}
}
@Misc{site:FID,
Author = {Wikipedia},
Title = {The Free Induction Decay.},
url = {http://en.wikipedia.org/wiki/Free_induction_decay}
}
@Misc{site:MR,
Author = {Wikipedia},
Title = {Magnetic resonance imaging},
url = {http://en.wikipedia.org/wiki/Magnetic_resonance_imaging}
}
`
puoi dirmi dove sta il problema? Mi sto tirando scemo.
Grazie!