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Award Abstract #0820817
CAREER: Partial Differential Equation-based Image Processing with Applications to Radiation Oncology
NSF Org: |
DMS
Division of Mathematical Sciences
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Initial Amendment Date: |
July 9, 2008 |
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Latest Amendment Date: |
July 9, 2008 |
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Award Number: |
0820817 |
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Award Instrument: |
Standard Grant |
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Program Manager: |
Junping Wang
DMS Division of Mathematical Sciences
MPS Directorate for Mathematical & Physical Sciences
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Start Date: |
October 1, 2007 |
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Expires: |
September 30, 2008 (Estimated) |
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Awarded Amount to Date: |
$7349 |
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Investigator(s): |
Doron Levy dlevy@math.umd.edu (Principal Investigator)
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Sponsor: |
University of Maryland College Park
3112 LEE BLDG
COLLEGE PARK, MD 20742 301/405-6269
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NSF Program(s): |
SIGNAL PROCESSING SYS PROGRAM
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Field Application(s): |
0000099 Other Applications NEC
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Program Reference Code(s): |
OTHR, 1187, 1045, 0000
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Program Element Code(s): |
4720
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ABSTRACT
In the past decade, new nonlinear partial differential
equations (PDEs) have been developed for various image processing
applications, such as noise reduction, edge detection, image
segmentation and restoration. While the attention of the
scientific community in this area predominantly focused on
creating the new PDEs, very little attention was paid to
developing numerical algorithms that approximate their solutions.
The few numerical algorithms that are currently used suffer from
a variety of problems: they are not accurate enough, too slow,
and not fault-free. In this project, the investigator develops
accurate, efficient, and robust numerical algorithms for
nonlinear PDEs in image processing. The research activities are
based on the investigator's extensive work in the field of
hyperbolic conservation laws, and include numerical methods for
the Hamilton-Jacobi equations, fast algorithms for high-order
nonlinear PDEs, algorithms for computing steady-state solutions,
numerical homogenization of Hamilton-Jacobi equations and
multi-resolution analysis, analysis of nonlinear diffusion
equations, constrained morphing active contours and geodesic
flows, and "non-blind" algorithms for image processing. A
portion of the research activities focuses on improving existing
algorithms in order to solve a specific imaging problem in
radiation oncology treatment planning.
The investigator develops novel mathematical techniques for
image processing and uses these techniques for solving problems
in the field of radiation oncology imaging. Radiation oncology
treats cancer by delivering relatively small doses of radiation
to tumors in order to eliminate cancer without destroying or
chronically damaging healthy tissues in and around the growth.
CT and MRI scans are used as three-dimensional anatomical models
to ensure that the treatments conform geometrically to the tumor
target. This process depends critically upon identifying the
location of the tumor as well as the healthy organs (in order to
minimize the dose of radiation in these areas). Despite extended
research, the existing mathematical tools for image processing
are unsuitable for clinical medical applications. The
segmentation of the CT and MRI scans is still carried out by
manual tools, and consumes about one-half of the time required to
plan the treatments. The investigator designs accurate and
reliable automated algorithms that would significantly shorten
this time and have a big impact on radiation oncology. He
integrates into his work educational activities that demonstrate
the importance of applied mathematics in a broad spectrum of
sciences. Special emphasis is given to applications of
computational mathematics in biology and cutting-edge
technologies. The planned educational activities include
programs for junior-high, high-school, undergraduate, and
graduate students. The investigator works to increase the gender
and ethnic diversity in the mathematical sciences by encouraging
under-represented groups to study applied mathematics and choose
it as a future career.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
Next
(Showing: 1 - 20 of 30).
A. Chertock and D. Levy.
"A Particle Method for the KdV Equation,"
Journal of Scientific Computing,
v.17,
2002,
p. 491.
A. Chertock and D. Levy.
"On Wavelet-Based Numerical Homogenization,"
Multiscale Modeling and Simulation,
v.3,
2004,
p. 65.
A. Kurganov and D. Levy.
"Central-Upwind Schemes for the Saint-Venant System With a Source Term,"
Mathematical Modelling and Numerical Analysis,
v.36,
2002,
p. 397.
A.L. Boyer, C. Cardenas, F. Gibou, P. Liu, T. Koumrian, D. Levy.
"Evaluation of a semi-automated segmentation technique using partial differential equations,"
Int J Radiat Oncol Biol Phys,
v.57,
2003,
p. 206.
Bhaya D., Levy D., and Requeijo T..
"Group Dynamics of Phototaxis: Interacting Stochastic Many-Particles Systems and their Continuum Limit,"
in S. Benzoni-Gavage and D. Serre (Eds.) "Hyperbolic Problems: theory, numerics, applications",
2008,
p. 145.
D. Levy, C.-W. Shu, and J. Yan.
"Local Discontinuous Galerkin Methods for Nonlinear Dispersive Equations,"
Journal of Computational Physics,
v.196,
2004,
p. 751.
D. Paquin, D. Levy, and L. Xing.
"Multiscale Deformable Registration for Noisy Medical Images,"
Mathematical Biosciences and Engineering,
v.5,
2008,
p. 125.
D. Paquin, D. Levy, and L. Xing.
"Hybrid Multiscale Landmark and Deformable Registration,"
Mathematical Biosciences and Engineering,
v.4,
2007,
p. 711.
D. Paquin, D. Levy, E. Schreibmann, and L. Xing.
"Multiscale Image Registration,"
Mathematical Biosciences and Engineering,
v.3,
2006,
Doron Levy.
"A Stable Semi-Discrete Central Scheme for the Two-Dimensional Incompressible Euler Equations,"
IMA Journal of Numerical Analysis,
v.25,
2005,
p. 507.
Doron Levy and Yuan-Nan Young.
"Registration-based Morphing of Active Contours for Segmentation of CT Scans,"
Mathematical Biosciences and Engineering,
v.2,
2005,
p. 79.
F. Gibou, D. Levy, C. Cardenas, P. Liu, and A. Boyer.
"PDE-based Segmentation for Radiation Therapy Treatment Planning,"
Mathematical Bioscinces and Engineering,
v.25,
2005,
p. 209.
Kim P. , Lee P., Levy D..
"Modeling Imatinib-Treated Chronic Myelogenous Leukemia: Reducing the complexity of agent-based models,"
Bulletin of Mathematical Biology,
v.70,
2008,
p. 724.
Kim P., Lee P., and Levy D..
"Mini-transplants for chronic myelogenous leukemia: a modeling perspective,"
in "Biology and control theory: current challenges", Queinnec et al. (eds.),
v.LNCIS 3,
2007,
p. 3.
Kim P., Lee P., Levy D..
"Dynamics and Potential Impact of the Immune Response to Chronic Myelogenous Leukemia,"
PLOS Computational Biology,
v.4,
2008,
Levy D. and Requeijo T..
"Modeling group dynamics of phototaxis: from particles to PDEs,"
Discrete and Continuous Dynamical Systems B,
v.9,
2008,
p. 108.
P. Kim, P. Lee, and D. Levy.
"Modeling Regulation Mechanisms in the Immune System,"
Journal of Theoretical Biology,
v.246,
2007,
R. De Conde, P. Kim, P. Lee, and D. Levy.
"Post Transplantation Dynamics of the Immune Response to Chronic Myelogenous Leukemia,"
Journal of Theoretical Biology,
v.236,
2005,
Razvan Fetecau and Doron Levy.
"Approximate Model Equations for Water Waves,"
Communications in Mathematical Sciences,
v.3,
2005,
p. 159.
S. Bryson and D. Levy.
"High-Order Central WENO Schemes for Multi-dimensional Hamilton-Jacobi Equations,"
SIAM J. Numer. Anal,
v.41,
2003,
p. 1339.
Next
(Showing: 1 - 20 of 30).
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