Assistant Research Scientist

Dr. Hui-Yang(Adam) Huang

黃輝

 

RESEARCH INTERESTS

    Biomedical Image processing, computer-aided detection and   diagnosis, 

     computer graphics, scientific visualization, computer-aided geometric design

 

EDUCATION

     Arizona State University, Tempe, AZ 

                Ph.D. in Computer Science,  May 2003

                Dissertation: “Three-Dimensional Biomedical Image Segmentation and

                                      Visualization: A Shape-Based Approach”

                Master of Science in Computer Science, May 1999

                Thesis: “A Piecewise-Linear Approximation Contour for Unorganized Points”

     Polytechnic University, Brooklyn, NY

                Master of Science in Electrical Engineering, 1996 

     National Tsing Hua University, Hsinchu, Taiwan

                Bachelor of Science in Electrical Engineering, 1991

 

PROFESSIONAL  EXPERIENCE  

     Medical Imaging Department National Taiwan University Hospital, Taipei, Taiwan

      Post-doctoral Fellow, 11/2006-Present

·         Develop software systems for polyp registration and synchronous virtual    colonoscopic navigation using the teniae coli as anatomical landmarks.

·         Develop computer-aided software for the detection of colonic polyps, arterial aneurysms and stenoses.

·         Analyze CT perfusion images for the detection of penumbra in acute stroke patients.

·         Analyze knee joint MRI images for clinical evaluation of articular cartilage.

    

      Virtual Endoscopy and Computer-Aided Diagnosis Laboratory Radiology Department, National Institutes of Health, Bethesda, MD

      Post-doctoral Fellow, 02/2004-10/2006

·         Modeled the colon structure and developed coordinate systems for polyp registration and automatic flight path planning for virtual colonoscopic navigation.

·         Extracted features such as curvature, colon wall thickness, and density histogram matching for automatic colonic polyp detection for CT Colonography.

·         Designed, evaluated, and optimized computer aided detection algorithms using Pareto fronts and multi-objective evolutionary algorithms.

 

      Partnership for Research in Spatial Modeling Laboratory Arizona State University, Tempe, AZ                   

      Graduate Research Associate, 2000-2003

·         Developed 2D and 3D image enhancement and segmentation techniques for thin structures such as mouse egg spindle fibers, plasma membranes, and blood vessels.

·         Collaborated with biologists and anthropologists in visualizing 3D cell and bone structures from confocal microscopic and CT data.

·         Collected point cloud data using 3D laser range scanners and constructed approximation surfaces using volume modeling

 

      Computer-Aided Geometric Design Laboratory Arizona State University, Tempe, AZ

      Graduate Research Assistant, 1997-1999

·         Developed and tested visualization algorithms for surface and volume models

·         Illustrated pictures and made videos for presentation and publishing using Corel Draw, PhotoShop, and PowerPoint

 

MILITARY    EXPERIENCE

      REPUBLIC OF CHINA NAVY, Taiwan

      Corporal/Electrical Engineer, 1991 to 1993

·         Monitored on board power systems and repaired electric equipment

·         Prepared technical reports for the machinery department and Navy headquarters

 

 

PROJECTS 

      Research projects

·         Polyp Registration Project:  Conduct research in defining new coordinate systems by exploring anatomical landmarks such as teniae coli and haustral folds in CT colonography.  Use teniae coli-constrained virtual colon dissection and flattening to register supine and prone scans for polyp registration and synchronous navigation.

·         Computer-Aided Detection Projection:  Investigate textural features such as colon wall thickness and density histogram matching, and structural features such as curvatures for automatic colonic polyp detection and classification.  Investigate various curvature estimation methods such as kernel convolution, surface patch fitting, Knusson mapping, normalized volume fitting.  Use Pareto fronts and multiobjective genetic algorithms to compare and design various curvature-based region growing algorithms.

·         Image Segmentation Project:  Investigated new differentiation estimation methods for noisy data.  Analyzed shape features of 2D and 3D images by using their second derivatives and Hessian matrix analysis.  Enhanced and segmented line and sheet features by their distinctive shape characteristics.  Applied the algorithms to angiography, MRI, and confocal data to extract blood vessels, white matter, and cytoskeleton fibers.

·         Surface Fitting Project:  Constructed approximation surfaces to point cloud data such as range images taken from 3D laser scanners.  The surface was defined implicitly as the isosurface of a trivariate volume model which was obtained as a least squares fit to the point cloud data.

·         Normals Estimation Project:  Approximated normals for locally supported isosurfaces for the Marching Cubes algorithm.  Identified the cause of poor estimates for the conventional method.  Developed topology-based methods for computing the normal estimates of a triangular mesh isosurface accurately and efficiently.

 

PUBLICATIONS                    

    Journal

·         A. Huang, J. Li, R.M. Summers, N. Petrick, and A.K. Hara, “A Pareto Front Approach to Evaluating Computer-Aided Detection Algorithms for CT colonography,” under internal review.

·         A. Huang, H.-M. Liu, C.-W. Lee, C.-Y. Yang, and Y.-M. Tsang, “On Concise 3D Simple Point Characterizations: A Marching Cubes Paradigm,” submitted to IEEE Transactions on Medical Imaging.

·         A. Huang, D. Roy, R.M. Summers, M. Franaszek, N. Petrick, J.R. Choi, and P.J. Pickhardt, “Teniae Coli-Based Circumferential Localization System for CT Colonography: Feasibility Study” Radiology 2007, 243(2):551-560.

·         R.M. Summers, A. Huang, J. Yao, S.R. Campbell, J.E. Dempsey, A.J. Dwyer, M. Franaszek, D.S. Brickman, I. Bitter, N. Petrick, A.K. Hara, “Assessment of Polyp and Mass Histopathology by Intravenous Contrast-enhanced CT Colonography,” Academic Radiology 2006, 13:1490-1495.

·         A. Huang, G. M. Nielson, A. Razdan, G. E. Farin, D. P. Baluch, and D. G. Capco, “Thin Structure Segmentation and Visualization in Three-Dimensional Biomedical Images:  A Shaped-based Approach,” IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 1, pp. 93-102, Jan. 2006.

 

    Conference Proceedings and Other Articles

·         A. Huang and R.M. Summers, “Computer Processing Methods for Virtual Endoscopy,” Review article for Imaging Processing Textbook, I. Bankman ed. Academic Press, submitted to the editor.

·         A. Huang, J. Li, R.M. Summers, N. Petrick, and A.K. Hara, “Using Pareto Fronts to Evaluate Polyp Detection Algorithms for CT Colonography,” accepted for oral presentation in SPIE Medical Imaging 2007, San Diego, CA, Feb. 2007.

·         J. Li, A. Huang, N. Petrick, J. Yao, and R.M. Summers, “Validating Pareto Optimal Operation Parameters of Polyp Detection Algorithms for CT Colonography,” accepted for poster presentation in SPIE Medical Imaging 2007, San Diego, CA, Feb. 2007.

·         P. Jabour, A. Huang, and R.M. Summers, “Using the Teniae Coli as a Registration Tool for CT Colonography,” accepted for oral presentation in SPIE Medical Imaging 2007, San Diego, CA, Feb. 2007.

·         J. Li, M. Franaszek, N. Petrick, J. Yao, A. Huang, and R.M. Summers, “Wavelet Method for CT Colonography Computer-Aided Polyp Detection,” IEEE International Symposium on Biomedical Imaging, Arlington, VA, April 2006.

·         A. Huang, D. Roy, and R.M. Summers, “Synchronous Navigation for CT Colonography,” SPIE Medical Imaging 2006, SPIE vol. 6143, San Diego, CA, Feb. 2006.

·         S. Greenblum, J. Li, A. Huang, R.M. Summers, “Wavelet Analysis in Virtual Colonoscopy,” SPIE Medical Imaging 2006, SPIE vol. 6143, San Diego, CA, Feb. 2006.

·         J. Li, A. Huang, J. Yao, I. Bitter, R.M. Summers, P. Pickhardt and J.R. Choi, “Automatic Colonic Polyp Detection Using Multiobjective Evolutionary Technique,” SPIE Medical Imaging 2006, SPIE vol. 6144, San Diego, CA, Feb. 2006.

·         A. Huang, D. Roy, M. Franaszek, and R. M. Summers, “Teniae Coli Guided Navigation and Registration for Virtual Colonoscopy,” Proceedings, IEEE Visualization 2005, pp. 279-285, Oct. 2005.

·         A. Huang, R. M. Summers, and A. K. Hara, “Surface Curvature Estimation for Automatic Colonic Polyp Detection,” SPIE Medical Imaging 2005, SPIE vol. 5746, pp. 393-402, Feb. 2005.

·         I. Bitter, B. Aslam, A. Huang, and R. M. Summers, “Candidate Determination for Computer-Aided Detection of Colon Polyps,” SPIE Medical Imaging 2005, San Diego, CA, Feb. 2005.

·         G. M. Nielson, H. Hagen, K. Lee, and A. Huang, “Split ‘N Fit: Adaptive Fitting of Scattered Point Cloud Data,” accepted for publication in the Dagstuhl Visualization 2003 Book (tentative book title), Springer-Verlag.

·         A. Huang and G. M. Nielson, “A Comparison of Weighted Average Methods for Computing Normals for Marching Cubes Isosurfaces,” the 8th International Fall Workshop on Vision, Modeling and Visualization 2003, Munich, Germany, pp. 399-406, Nov. 19-21, 2003.

·         G. M. Nielson, G. Graf, R. Holmes, A. Huang, and M. Phielipp, “Shrouds: Optimal Separating Surfaces for Enumerated Volumes,” IEEE/EG VisSym ’03, Grenoble, France, May 2003.

·         A. Huang, G. Nielson, A. Razdan, G. Farin, D. Capco, and P. Baluch, “Line and Net Pattern Segmentation Using Shape Modeling,” SPIE conference on Visualization and Data Analysis (VDA 2003), SPIE vol. 5009, pp. 171-180, Jan. 2003.

·         A. Huang and G. M. Nielson, “Surface Approximation to Point Cloud Data Using Volume Modeling,” Data Visualization, F. Post, G. M. Nielson, and G. P. Bonneau eds., pp. 333-343, Elsevier Pub., 2002.

·         G. M. Nielson, A. Huang, and S. Sylvester, “Approximation Normals for Marching Cubes Applied to Locally Supported Isosurfaces,” Proceedings, IEEE Visualization 2002, pp. 459-466, Oct. 2002.

 

    Abstracts

·         D.A. Roy, H.A. Huang, R.M. Summers, M. Franaszek, “Semi-automatic Method for Detection of Tenia Coli in CT Colonography,” the 6th International Symposium on Virtual Colonoscopy, Boston, MA, October, 2005.

·         R. Summers, A. Hara, A. Huang, J. Yao, I. Bitter, J. Dempsey, “Assessment of Polyp Histopathology by Intravenous Contrast-enhanced CT Colonography,” RSNA 2005, Chicago, IL, November 27-December 2, 2005.

·         Adam Huang, Hon-Man Liu, Kao-Lung Liu, Chuan-Jay Huang, Yuk-Ming Tsang, “Teniae Coli-Guided Virtual Colonoscopy Navigation,” RSROC 2007, Taipei, Taiwan, March 24-25, 2007.

 

PATENTS

            Inventors: A. Huang, D.A. Roy, R.M. Summers

            Title: Teniae Coli Guided Navigation and Registration for Virtual Colonoscopy

            U.S. Non-Provisional Patent Application No. 11/436,889, filed May 17, 2006

 

AWARDS

            Masters Student Research Scholarship, Arizona State University, 1997-1999

            Ph.D. Student Research Scholarship, Arizona State University, 1999-2003

            U.S. National Institutes of Health (NIH) Postdoctoral Fellowship in  Medical  

            Image Processing, 01.2004-01.2007

            NIH Fellows Award for Research Excellence (FARE), 2005

            NIH FARE Award, 2006

            National Taiwan University Hospital Postdoctoral Fellowship, 11.2006-11.2008

 

PROGRAMMING EXPERIENCES

             C/C++, 7 year experience

             OpenGL, 4 year experience

             Matlab, 2 year experience

             Open Inventor, 2 year experience

             Qt, X-Windows, Python, some experience

             Parallel computation on SGI Origin 2000 and PC/Linux 

             Beowulf   cluster