Image Data emulation and Analysis (idea) Laboratory

 

 [Research Summary]  [Research Projects]  [People] [Research Support] [Publications] [Software] [Positions] [Links]

 

Research Summary

 

We conduct both theoretical and applied research in the areas of biomedical image analysis, computer vision and computer graphics.  A central theme of the research is to analyze and extract information from images and videos for interpretation, quantification, modeling and synthesis.  The current focus of the lab is on developing robust and novel methods for non-rigid object modeling, segmentation, registration, tracking and recognition.  The goal of our research is to better solve computational problems in biomedicine, computer vision, computer graphics, and multi-modal data archiving/querying/retrieval/visualization/integration.

 

Research Projects

 

 

 

           

Metamorphs: Deformable Shape and Appearance Models (PDF)

 

*     Deformable solid models with both boundary and interior

*     Online and adaptive learning of model-interior intensity/texture statistics

*     Consistent interior appearance during deformation

*     Common deformation scheme using Free Form Deformations (FFD) for both boundary and interior

*     Model-based segmentation and tracking

 

 

 

 

     

 

 

Shape Registration in Implicit Spaces (PDF)

 

*     Implicit shape representation

*     Global registration by maximizing mutual information in implicit spaces

*     Non-rigid registration by minimizing a sum-of-squared differences criterion w.r.t. Free form Deformation (FFD)  parameters

*     2D/3D shape registration and tracking

*     Establishing accurate correspondences for statistical shape modeling

*     Fitting mesh models to dense point clouds

 

    

        

Salient Region Feature based Image Registration with Geometric Constraints (PDF)

 

*     Detecting salient region features with maximum local entropy in both scale and spatial spaces

*     Matching local region features by entropy correlation coefficient

*     Pruning false matches by geometric constraints between features

*     Recovering transformation by feature correspondences

 

 

 

  

Heart Modeling and Wall  Motion Analysis based on Information from Tagged MR, MR, and CT Images (PDF-1, PDF-2, PDF-3)

 

*     Segmentation of heart contours (e.g. epicardium, left/right ventricle endocardium, papillary muscle)

*     Creating heart mesh model based on image information

*     Model-based tracking of heart wall motion

*     Cardiac muscle mechanistic analysis, disease classification, computer-aided diagnosis

 

      

                 

 

Whole-body Image Interpretation in PET/CT (PDF-1, PDF-2, HTML)

 

*     One-click hot spot segmentation in PET

*     Organ (e.g. kidney) detection using boosted 3D Haar wavelet features

*     Robust click-point linking in longitudinal studies

*     Hot spot detection, segmentation and classification

*     Multi-modal image information integration applied to robust segmentation, registration and change quantification

 

 

Texture (PDF-1, PDF-2)

 

*     Textured object segmentation

*     Texon natural scale computation and appearance representation

*     Texture edges

*      Dynamic textures

 

         

   

 

Computer Graphics Research (PDF-1, PDF-2)

 

*     Physically-based and data-driven simulation of non-rigid deformable bodies

*     Biophysical modeling and simulation of biological processes

*     Visualization

*     Shadow, Transparency

*     Illumination

 

 

            

 

Structuring, Reasoning, Querying, and Retrieval in Large Medical Image Archives

 

*     Cervigram and Colposcopy image database for cervical cancer research

*     Mammogram or ultrasound image database for breast cancer research

 

 

Computational Analysis of Microscopic Cell Images

 

*     High-resolution 3D tomographic cell images

*     Live-cell time lapse movies

*     De-convolution for super-resolution

*     Multi-modal optical imaging

 

 

Machine Learning and Statistical Object Models (PDF-1, PDF-2)

 

*     Active shape and appearance models

*     Supervised learning, unsupervised learning

*     Nonlinear models and manifolds

*     Learning from labeled and unlabeled data

*     Biomedical applications

 

 

Oncology Applications, Molecular Image Analysis, Computer-aided Diagnosis

 

*     Intensity moduldated radiation therapy (PDF)

*     3D Tumor Shape and Location Reconstruction from 2D Bioluminescence Images (PDF)

*     Cancer detection, segmentation, change quantification

*     Multi-modal image registration and information integration

 

 

 

People

 

Professor

 

Xiaolei Huang

 

Students

 

Wei Wang (Ph.D.)

Yaoyao Zhu (Ph.D.), co-advising w/ Prof. Dan Lopresti

Nick Moukhine (Ph.D., fall 2007)

Tian Shen (Ph.D., fall 2007)

Yusuf Artan (Ph.D., summer & fall 2007)

Thomas Boinot (M.S., summer & fall 2007)

Hisham Abu-Nabaa (Ph.D., summer 2007)

Doug Paul (Senior, spring 2007)

 

Sponsors

 

*     Lehigh University, Aug. 2006 -

*     Christian R. & Mary F. Lindback Foundation, May 2007 -

*     Air Products and Chemicals, Inc., Aug. 2007 -

*     National Library of Medicine - National Institutes of Health, Sept. 2007 -

 

Open Positions

           

*     One Ph.D. student research assistant position

*     Two research positions for undergraduate or M.S. students

 

 

Publications

 

Software

           

Links and Resources