Computational Informatics Laboratory
Director: Lin-Ching Chang, D.Sc.
The Department of Electrical Engineering & Computer Science
The Catholic University of America
Washington, DC 20064
Tel: (202)319-4691
Fax: (202)319-5195
changl@cua.edu
The Computational Informatics Laboratory is a research and training unit in the department of Electric Engineering and Computer Science at the Catholic University of America. The primary focus of the lab is to develop novel computational methods to the application of various aspects of scientific disciplines. Its educational purpose is to train students with algorithmic thinking and proficient programming skills to solve large scale of scientific and engineering problems.
Current Research
The current emphasis of the lab is on designing computational approaches with applications to biomedical data analysis. It includes projects in quantitative diffusion tensor magnetic resonance image processing and analysis, computational T1 map estimation, error propagation and analysis on diffusion tensor derived quantities, robust diffusion tensor estimation, and outlier detection, etc.
Research Interests
Biomedical image analysis, modeling and simulation, pattern recognition, combinatorial design, information retrieval, data mining, and biomedical informatics.
Peter J. Basser, PhD, Head, Section on Tissue Biophysics and Biomimetics
Carlo Pierpaoli, MD, PhD.
1. Chang LC, Koay CG, Basser PJ, Pierpaoli C, A Linear Least Squares Method for Unbiased Estimation of T1 from SPGR Signals, Magnetic Resonance in Medicine 2008; 60:496-501.
2. Koay CG, Nevo U, Chang LC, Pierpaoli C and Basser PJ. The Elliptical Cone of Uncertainty and Its Normalized Measures in Diffusion Tensor Imaging, IEEE Transaction on Medical Imaging 2008; 27(6): 834-846.
3. Freidlin RZ, Özarslan E, Komlosh ME, Chang LC, Koay CG, Jones DK and Basser PJ. Parsimonious Model Selection for Tissue Segmentation and Classification Applications: A Study Using Simulated and Experimental DTI Data. IEEE Transaction on Medical Imaging 2007; 26(11): 1576-1584.
4. Waber, D.P., De Moor, C., Forbes, P.W., Almli, C.R., Botteron, K.N., Leonard, G., Milovan, D., Paus, T., Rumsey, J., and the Brain Development Cooperative Group. The NIH MRI study of normal brain development: Performance of a population based sample of healthy children aged 6 to 18 years on a neuropsychological battery. Journal of the International Neuropsychological Society 13:1-18, 2007.
5. Almli, C.R., Rivkin, M.J., McKinstry, R.C., and the Brain Development Cooperative Group. The NIH MRI study of normal brain development (Objective-2): Newborns, infants, toddlers, and preschoolers. NeuroImage 35:308-325, 2007.
6. Koay CG, Chang LC, Pierpaoli C, Basser PJ. Error Propagation Framework for Diffusion Tensor Imaging via Diffusion Tensor Representations. IEEE Transaction on Medical Imaging 26(8):1017-1034, 2007.
7. Chang LC, Koay CG, Pierpaoli C, Basser PJ. The Variance of DTI-derived Parameters via First-Order Perturbation Methods. Magnetic Resonance in Medicine 57:141-149, 2007.
8. Koay CG, Chang LC, Pierpaoli C, Basser PJ. A Unifying Theoretical and Algorithm Framework for Least Square Methods of Estimation in Diffusion Tensor Imaging. Journal of Magnetic Resonance 182:115-125, 2006.
9. Assaf Y, Ben-Sira L, Constantini S, Chang LC, Beni-Adani L. Diffusion Tensor Imaging in Hydrocephalus: Initial Experience. AJNR Am J Neuroradiol 27:1717-1724, 2006.
10. Evans, A.C., and the Brain Development Cooperative Group. The NIH MRI study of normal brain development. NeuroImage 30:184-202, 2006.
11. Chang LC, Jones D.K., and Pierpaoli C. RESTORE: robust estimation of tensors by outlier rejection. Magnetic Resonance in Medicine 53:1088-95, 2005.
12. Berkovich SY, Chang LC. Multiprocessor Network Arranging Replicated Objects in Pairwise Balanced Combinatorial Designs. Journal of Circuits, Systems and Computers 6:85-91, 1996.
Conference Papers and Abstracts
1. Chang LC, Koay CG, Basser PJ, Pierpaoli1 C. The 16th ISMRM Scientific Meeting, Toronto, Canada, May 2008.
2. Chang LC, Pierpaoli C., Improving the Accuracy of Diffusion MR Tractography Using RESTORE. In the proceeding of the Annual Biomedical Engineering Meeting, Taiwan, Dec, 2007. 224-226
3. Chang LC, Koay CG, Deoni S, Pierpaoli1 C. Comparison of Linear and Non-linear Fitting Methods for Estimating T1 from SPGR Signals. The ISMRM 15th Scientific Meeting, Berlin, Germany, May 2007.
4. Wu M, Chang LC, Barnett AS, Marenco S, Pierpaoli C. A Framework for Evaluating the Performance of EPI Distortion Correction Strategies in Diffusion Tensor MRI. The ISMRM 15th Scientific Meeting, Berlin, Germany, May 2007.
5. Koay CG, Chang LC, Basser PJ. The Cone of Uncertainty is Elliptical: Implications for DTI Tractography. The ISMRM 15th Scientific Meeting, Berlin, Germany, May 2007.
6. Koay CG, Chang LC, Deoni S, Pierpaoli1 C. An Optimal Framework for T1 Estimation in An SPGR Acquisition. The ISMRM 15th Scientific Meeting, Berlin, Germany, May 2007.
7. Koay CG, Chang LC, Pierpaoli1 C, Basser PJ. Diffusion Tensor Representations and Their Applications to DTI Error Propagation. The ISMRM 15th Scientific Meeting, Berlin, Germany, May 2007.
8. Ozarslan E, Chang LC, Pierpaoli1 C, Basser PJ. Roughness: A reshuffling-variant differential geometric index for DWI. The ISMRM 15th Scientific Meeting, Berlin, Germany, May 2007.
9. Freidlin RZ, Ozarslan E, Komlosh ME, Chang LC, Koay CG, Jones DK, Basser PJ. Parsimonious Model Selection for DTI Tissue Segmentation and Classification: Study on Simulated and Experimental Data. The ISMRM 15th Scientific Meeting, Berlin, Germany, May 2007.
10. Chang LC, Pierpaoli C, Basser PJ. The Variance of DTI-derived Parameters via First-Order Perturbation Methods. The ISMRM 14th Scientific Meeting, Seattle, USA, May 2006.
11. Koay CG, Chang LC, Pierpaoli C, Basser PJ. Error Propagation Framework for Diffusion Tensor Imaging. The ISMRM 14th Scientific Meeting, Seattle, USA, May 2006.
12. Chang LC, Rohde GK, Basser PJ, Pierpaoli C. Automatically Estimating Noise-Induced Signal Variance in Magnitude Reconstructed MRI using Kernel Estimator. The ISMRM 13th Scientific Meeting, Miami, USA, May 2005.
13. Chang LC, Rohde GK, Basser PJ. Analytic Expressions for the Uncertainty of DTI-derived Parameters and their Validation Using Monte Carlo Methods. ISMRM Workshop on Methods for Quantitative Diffusion MRI of Human Brain, Alberta, Canada, March 2005.
14. Chang LC, Rohde GK, Pierpaoli C. An Automatic Method for Estimating Noise-induced Signal Variance in Magnitude-reconstructed Magnetic Resonance Images. Proceedings of SPIE Medical Imaging, 5747:1136-1142, San Diego, USA, February 2005.
15. Chang LC, Rohde G, Jones K, Basser P J, Pierpaoli C. RESTORE: Robust Estimation of Tensors by Outlier Rejection. The ISMRM 12th Scientific Meeting, Kyoto, Japan, May 2004.
16. Hsu L, Chang LC, Loew MH. A Graph Approach for Fast 3D Connected Components Labeling. Proceedings of Asian Conference on Computer Vision, 736-741, Taipei, Taiwan, January 2000.
17. Chang LC, Berkovich SY. Information Retrieval Systems by Using Finite Projective Plane. SIAM Annual Meeting. Toronto, Canada, July 1998.
18. Berkovich SY, Chang LC. Application of Combinatorial Designs for Constructing an Object-Oriented Environment. SIAM Conference on Discrete Mathematics. Toronto, Canada, July 1998.
19. Berkovich SY, Chang LC. Simulation of Computer Communication Networks with Combinatorial Arrangement of Replicated Objects. Proceedings of the Western Multiconference CNDS, SCS. 172-177, January 1997.
20. Berkovich SY, Chang LC. Investigation of Multiprocessing Network Using Pairwise Balanced Combinatorial Designs. Frontiers, February 1995.
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