School of Engineering

Lin-Ching Chang, D.Sc.

Assistant Professor
Electrical Engineering and Computer Science
202-319-4691 phone
202-319-5195 fax
changl@cua.edu

Education
B.Sc., Information and Computer Engineering, Chung-Yuan Christian University, Taiwan, 1991
M.Sc., Computer Science, George Washington University, 1993
D.Sc., Computer Science, George Washington University, 1998

Biography
Lin-Ching Chang's research interests include medical image processing and analysis, modeling and simulation, pattern recognition, combinatorial design, information retrial, database system, and messaging system for telecommunication applications. During her career at the National Institutes of Health (NIH), she was working on quantitative image analysis of diffusion tensor magnetic resonance imaging (DT-MRI) data. She was associated with the NIH pediatric neuroimaging project, a study to learn the brain development in normal healthy children and adolescents using MRI technique (http://www.brain-child.org). Prior to joining the NIH, Chang has worked in 3Com Corporation for four years as a senior software engineer. She worked on several commercial telecommunication projects including 3Com's Unified Messaging System, interactive voice response system, database system migration and wireless applications, etc.

Representative Publications
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 (in press).

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.

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.

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.

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.

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.

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.

Brain Development Cooperative Group. The NIH MRI Study of Normal Brain Development. Neuroimage 30:184-202, 2006.

Chang LC , Jones D.K., and Pierpaoli C. RESTORE: Robust Estimation of Tensors by Outlier Rejection. Magnetic Resonance in Medicine 53:1088-95, 2005.