Zichun Zhong

Ph.D., Postdoctoral Fellow, ACM Professional Member, AAPM Junior Member

My new website is at Google Site!

Ph.D. Advisor: Dr. Xiaohu Guo (UTD) Co-Advisor: Dr. Weihua Mao (UTSW)
Computer Graphics and Animation (CGA) Lab in Department of Computer Science at The University of Texas at Dallas

Tel: 214-726-6509     Email: zichunzhong "at" utdallas.edu or zhongzichun "at" gmail.com

UTSW Office:
Department of Radiation Oncology, UT Southwestern Medical Center at Dallas
5641 Southwestern Medical Avenue, Dallas, TX 75235-8808

Part-Time Lecturer, Fall 2014:
CS/TE 4341.501 Digital Logic and Computer Design
CS/TE 4141.102 Digital Systems Laboratory

Short Bio:

Research Interests:

My research interests include Computer Graphics, Geometric Modeling (esp. Surface and Volume Mesh Generations), Medical Imaging Processing, Deformable Image Registration, Image Reconstruction, Computer Animation, Visualization, Game Development, GPU Algorithms, and High-Performance Computing.

Research Experiences:
  • Quantitative Cone-Beam CT (CBCT) for Adaptive Radiation Therapy       (UT Southwestern Medical Center at Dallas, August 2014 - Present)

  • Developed advanced image processing and reconstruction algorithms to enhance CBCT image quality for quantitative applications.
  • Designed a novel mesh-based method to efficiently reconstruct high-quality 4D-CBCT images by GPU-based method.
Related paper: AAPM 2015, FULLY 3D 2015 (Coming soon)
  • Deformation and Animation       (The University of Texas at Dallas, June 2013 - April 2014)

  • Proposed a new decomposition technique based on deformation gradients, i.e. sparse localized decomposition, which is a useful technique to extract meaningful deformation components out of a training set of mesh data.
Related paper: Computer Graphics Forum (PG 2014 Special Issue) [Online]

  • Proposed an approach to directly compresses the field of deformation gradient defined on the surface mesh.
Related paper: Journal of Computer Science and Technology (CVM 2015 Special Issue) (Coming soon)
  • Dynamic Meshing for Deformable Image Registration       (The University of Texas at Dallas, June 2013 - April 2014)

  • Proposed an algorithm to compute and update the mesh structure efficiently during image registration.
  • Tested on both synthetic and real medical images.
Related paper: Computer-Aided Design (SPM 2014 Special Issue) [Online]
  • Anisotropic Surface Meshing with Conformal Embedding       (The University of Texas at Dallas, June 2013 - April 2014)

  • Introduced a parameterization-based approach for anisotropic surface meshing.
  • Computed a weighted Centroidal Voronoi Tessellation and its dual Delaunay triangulation on the parametric domain.
Related paper: Graphical Models (GMP 2014 Special Issue) [Online]
  • Particle-Based Anisotropic Surface Meshing       (The University of Texas at Dallas, June 2011 - April 2013)

  • Designed a novel particle-based framework for anisotropic surface meshing, based on minimizing the inter-particle energies in a higher dimensional "embedding space".
  • Compared the results qualitatively and quantitatively with the state of the art in anisotropic surface meshing on several examples and shown that our method is advantageous over all previous methods.
Related papers: SIGGRAPH 2013 [Website] [UTD-News]
  • A Novel 4D Imaging Process for Personalized Online Adaptive Radiation Therapy: (2) Image Registration and Reconstruction       (The University of Texas at Dallas, May 2010 - Present)

  • Designed a novel feature-mesh-based 2D-3D deformable image registration method, which is capable of reconstructing volumetric images with far fewer projections without sacrificing image quality, while simultaneously accurately mapping the CBCT to the planning CT.
  • Designed a novel mesh-based 2D-3D deformable image surface registration method, which can be efficiently and effectively reconstructing volumetric images with large deformation, especially the deformation happens at boundaries or surfaces.
Related papers: AAPM 2012, AAPM 2013, AAPM 2014, Medical Physics 2014, IEEE TBME 2014
  • A Novel 4D Imaging Process for Personalized Online Adaptive Radiation Therapy: (1) DRRs Generation       (The University of Texas at Dallas, May 2010 - Present)

  • Developed an efficient algorithm for generating high-quality digitally reconstructed radiographs (DRRs) for regularly and irregularly sampled volumes based on a splatting method with dynamic elliptical Gaussian kernels, and evaluated this method using traditional ray tracing method.
  • Developed a fast graphic processing unit (GPU)-based splatting method to generate high-quality DRRs for CT volumes; and it is over 30 times faster than CPU-based method.
Related papers: AAPM 2012, AAPM 2013, Medical Physics 2014, IEEE TBME 2014
  • Real-time Crowd Flow Animation and Physical Engine       (The University of Electronic Science and Technology of China, January 2008 - March 2009)

  • Designed and implemented the fluids simulation with physically based deformable modeling, especially in middle and small scale fluid-solid coupling and interacting.
  • Designed and implemented the algorithm of real-time crowd flow animation in large scale based on the idea of fluid simulation.
Related papers: IEEE CAID&CD 2008, Journal of Computer Applications 2008 (in Chinese)
  • "Baisheng" 3D Virtual Community Game Project       (The University of Electronic Science and Technology of China, April 2007 - December 2007)

  • Designed 3D rendering, database designing, and optimization of the scene management; and implemented a 3D virtual community online game.

Professional Presentations:
Selected Honors:
Last Update: March 29, 2015