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Research Interest |
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Computational aspects of medical
and clinical problems, specifically focusing on modeling, visualization
and simulation of human tissues including muscle, ligament, tendon,
nerve and skeleton. The purpose of presented studies is to develop
computational platforms to reconstruction and quantification of both
structural and functional properties of tissues with enhanced
reliability and consistency. Both cadaveric and in vivo assessments
(e.g., X-ray, Ultrasound, CT) are
accounted for. Pathological studies (e.g., tendon rupture, bone
deformity and muscle
atrophy) are also conducted. These studies are based on the active
collaboration with researchers from various disciplines : applied
mathematics, graphics, anatomy, biomechanics, kinesiology, orthopedics, radiology
and physical therapy. Other interest includes numerical
optimization, finite element method, fluid mechanics, continuum
mechanics and graphics. |
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Publications |
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1. Z. Li, J. Mogk,
D. Lee,
J. Bibliowicz and A. Agur, Development of an architecturally
comprehensive database of forearm flexors and extensors from a single
cadaveric specimen,
Computer Methods in Biomechanics and Biomedical Engineering: Imaging &
Visualization, 3:1, 2014 |
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2. D. Lee,
Z. Li, Z. Sohail, K. Jackson, E. Fiume and A. Agur, A three-dimensional
approach to pennation angle estimation for human skeletal muscle,
Computer Methods in Biomechanics
and Biomedical Engineering, 18:13, May 2014 |
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3. Z. Li, J. Mogk,
D. Lee,
J. Bibliowicz and A. Agur, Development of an architecturally
comprehensive database of forearm flexors and extensors from a single
cadaveric specimen, 1st
International Workshop on Biomechanical and Parametric Modeling of Human
Anatomy, January 2013 |
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4. T. Arakawa, Z. Li, R. Bobotsis,
D. Lee,
A. Agur, Three-dimensional architecture of the plantar intrinsic muscles
of the foot, Clinical
Anatomy 25:7, October 2012 |
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5. Z. Li, K. Ravichndiran,
D. Lee,
N. Mckee, A. Agur, An architecturally comprehensive 3D computer model of
the intrinsic musculotendinous structures of the hand,
Clinical Anatomy 25:7, October
2012 |
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6. Z. Sohail, K. Sauks, K. Ravichndiran, J. Laprade,
D. Lee,
A. Agur, A 3D model of vastus medialis oblique fiber bundle
architecture, Clinical
Anatomy 25:7, October 2012 |
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7. D. Lee,
K. Ravichandiran, K. Jackson, E. Fiume and A. Agur, Robust estimation of
physiological cross-sectional area and geometric reconstruction of human
skeletal muscle, Journal
of Biomechanics, 45:8, May 2012 |
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8. D. Lee,
M. Glueck, A. Khan, E. Fiume and K. Jackson, Modeling and Simulation of
Skeletal Muscle: A Survey,
Foundations and Trends in Computer Graphics and Vision, April
2012 |
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9. D. Lee, Physics-Based Simulation
for Fluid Mixtures, Research Paper, March 2007 |
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Presentations |
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1. D. Lee, R. Zeller, H. Carnahan, S.
Mathur, A. Agur, D. Wang and K. Zabjek, Simulation of vertebral
deformity: development of a novel application for pediatric spine
surgery, SpineFEST,
June 2013 |
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2. D. Lee, R. Zeller, H. Carnahan, S.
Mathur, A. Agur, D. Wang and K. Zabjek, Simulation of vertebral
deformity: development of a novel application for pediatric spine
surgery, 5th
International Pediatric Simulation Symposia and Workshops (IPSSW),
April 2013 |
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3. D. Lee, R. Zeller, A. Agur, S.
Mathur and K. Zabjek, Development of a three dimensional musculoskeletal
modeling application for the study of paediatric spinal deformities,
Ontario Biomechanics
Conference (OBC), March 2013 |
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4. D. Lee, R. Zeller, S. Mathur, K.
Zabjek, E Biddiss, A. Agur, H. Carnahan, Development of a Geometric
Modeling Application for Spine Research and Education,
University of Toronto Spine
Program Research Meeting, August 2012 |
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5. D. Lee, K. Ravichandiran, K.
Jackson, E. Fiume and A. Agur, Robust estimation of physiological
cross-sectional area and geometric reconstruction for human skeletal
muscle, 30th Southern
Ontario Numerical Analysis Day (SONAD), May 2012 |
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6. D. Lee, K. Jackson, E. Fiume and A.
Agur, Geometric reconstruction and physical simulation of human skeletal
muscle, International Conference on Scientific Computation And
Differential Equations (SciCADE),
July 2011 |
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Softwares |
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MuscleModeler |
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Objective: quantification and 3D
reconstruction of muscle architecture |
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Development: C++, OpenGL, MFC,
Blas, Lapack and Taucs on MS Windows |
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SpineModeler - G
(global and structural deformity) |
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Objective: reconstruction and
assessment of structural deformity of spine |
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Development: C++, OpenGL and MFC
on MS Windows |
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SpineModeler - L
(local and vertebral deformity) |
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Objective: geometric
reconstruction and simulation of vertebral deformity |
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Development: C++, OpenGL, MFC,
Blas, Lapack and Taucs on MS Windows |
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SpineCurve Analyzer
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Objective: quantification of
spinal curves in lateral flexion |
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Development: C++, OpenGL and MFC
on MS Windows |
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CT-based Spine Modeler
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Objective: 3D reconstruction of
spine from CT images |
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Development: C++, OpenGL and MFC
on MS Windows |
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MusclePower Analyzer |
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Objective: analysis of muscle
performance (torque) |
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Development:
Matlab on MS Windows |
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FEM-based solid deformer
(linear and co-rotational) |
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Objective: physical simulation
of deformable solid (linear elasticity) |
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Development: C++, OpenGL, MFC,
Blas, Lapack and Taucs on MS Windows |
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SPH-based fluid solver
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Objective: physical simulation
of inviscid flow (Lagrangian approach) |
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Development: C++, OpenGL, MFC
and PBRT on MS Windows |
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Estimation of Principal Curves |
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Objective: a statistical approach to fit smooth
curves into unorganized data |
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Development: C++, Win32 and OpenGL on
MS Windows |
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3D line art rendering
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Objective: an implementation of
the technical paper, 'SIGGRAPH2001 illustrative smooth surface'
(course project) |
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Development: C++, OpenGL and MFC on MS Windows |
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Single image relighting
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Objective: synthesizing lighting
conditions based on shape from shading (SFS) and intrinsic methods |
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| Development: Matlab on MS
Windows |
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