The Catholic University of America

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

 

Overview

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.

 

Past Projects

NIH Pediatric Neuroimaging Project

 

Current Projects  (UNDER CONSTRUCTION)

 

Research Interests

Biomedical/medical image processing and analysis, modeling and simulation, pattern recognition, combinatorial design, information retrieval, data mining, and (bio)medical informatics.

 

People (UNDER CONSTRUCTION)

 

Collaborators

Peter J. Basser, PhD, Head, Section on Tissue Biophysics and Biomimetics

Carlo Pierpaoli, MD, PhD.

Cheng Guan Koay, PhD.

Minjie Wu, PhD.

Antti Pulkkinen, PhD.

 

Publications:

Selected publications can be downloaded at the following web pages.

http://stbb.nichd.nih.gov/publications.html

https://science.nichd.nih.gov/confluence/display/nihpd/Current+Publications

 

Journal Papers

Co-authors with underscore are CUA students.


1.      M Jacobs, L-C Chang, A Pulkinnen, M Romano (2015), Automatic Segmentation and Classification of Multiple Coronal Mass Ejections, Space Weather, 13(11), pp.761-777, doi: 10.1002/2015SW001260. This paper has been selected as the cover article of the journal.

2.     E Makki, L-C Chang (2015), Understanding the Effects of Social Media and Mobile Usage on E-Commerce: An Exploratory Study in Saudi Arabia, International Management Review, 11(8), pp 98-109.

3.     L Walker, L-C Chang, A Nayak, M O Irfanoglu, K N Botteron, J McCracken, R C McKinstry,  M J Rivkin, D-J Wang, J Rumsey, C Pierpaoli (2015), the Brain Development Cooperative Group, The Diffusion Tensor Imaging (DTI) Component of The NIH MRI Study of Normal Brain Development (PedsDTI), NeuroImage, doi: 10.1016/j.neuroimage.2015.05.083.

4.    V Kirnosov, L-C Chang, A Pulkkinen (2015), Automatic CME front edge detection from STEREO white-light coronagraph images, Space Weather, 13(8), pp 469–483, doi: 10.1002/2015SW001190

5.     E Makki,  L-C Chang (2015), E-commerce Acceptance and Implementation is Saudi Arabia: Previous, Current and Future Factors, International Journal of Management Research and Business Strategy, 4(3), pp29-44.

6.     L Dao, B Glancy, B Lucotte, L-C Chang, R S Balaban, L-Y Hsu (2015), A Model-Based Approach for Microvasculature Structure Distortion Correction in Two-Photon Fluorescence Microscopy Images. Journal of Microscopy , doi: 10.1111/jmi.12281.

7.    L-C Chang, E El-Araby, V Dang, L Dao (2014), GPU Acceleration of Nonlinear Diffusion Tensor Estimation Using CUDA and MPI, Neurocomputing 135, pp328–338, doi:10.1016/j.neucom.2013.12.035.

8.     L Dao, B Lucotte, B Glancy, L-C Chang, L-Y Hsu, R S Balaban (2014), Use of Independent Component Analysis to Improve Signal-to-noise Ratio in Multi-probe Fluorescence Microscopy. Journal of Microscopy 256(2), pp133-44, doi: 10.1111/jmi.12167.

9.      L-C Chang, L Walker L, C Pierpaoli (2012), Informed RESTORE: A Method for Robust Estimation of Diffusion Tensor from Low Redundancy Datasets in the Presence of Physiological Noise Artifacts, Magnectic Resonance in Medicine 68, pp1654-1663.

10.   S Rashidian, L-C Chang, P Asadollahi (2011), Application of Statistical Pattern Recognition in a Solid-Fluid Interaction Problem, The Electronic Journal of Geotechnical Engineering Vol 16(N), pp1629-1637.

11.  L Walker, L-C Chang, N Sharma, L Cohen, R Verma, C Pierpaoli (2011), Effects of Physiological Noise in Population Analysis of Diffusion Tensor MRI data, NeuroImage  54(2), pp1168-77.

12. L-C Chang, CG Koay, PJ Basser, C Pierpaoli (2008), A Linear Least Squre Method for Unbiased Estimation of T1 from SPGR Signals, Magnectic Resonance in Medicine 60, pp496-501.

13.   CG Koay, U Nevo, L-C Chang, C Pierpaoli, PJ Basser (2008), The Elliptical Cone of Uncertainty and Its Normalized Measures in Diffusion Tensor Imaging. IEEE Transaction on Medical Imaging 27(6), pp834-846.

14.   M Wu, L-C Chang, L Walker, H Lemaitre, AS Barnett, S Marenco, and Pierpaoli C (2008), Comparison of EPI Distortion Correction Methods in Diffusion Tensor MRI Using a Novel Framework. Medical Image Computing and Computer Assisted Intervention, Part II, LNCS 5242, pp321-329.

15.   RZ Freidlin RZ, E Özarslan, ME Komlosh, L-C Chang, CG Koay, DK Jones, PJ Basser (2007), Parsimonious Model Selection for Tissue Segmentation and Classification Applications: A Study Using Simulated and Experimental DTI data. IEEE Transaction on Medical Imaging 26(11), pp1576-1584.

16.   CG Koay, L-C Chang, C Pierpaoli, PJ Basser (2007), Error Propagation Framework for Diffusion Tensor Imaging via Diffusion Tensor Representations. IEEE Transaction on Medical Imaging 26(8), pp1017-1034.

17.   L-C Chang, CG Koay, C Pierpaoli, PJ Basser (2007), The Variance of DTI-derived Parameters via First-Order Perturbation Methods. Magnectic Resonance in Medicine 57, pp141-149.

18.   CG Koay, L-C Chang, C Pierpaoli C, PJ Basser (2006), A Unifying Theoretical and Algorithm Framework for Least Square Methods of Estimation in Diffusion Tensor Imaging. Journal of Magnectic Resonance 182, pp115-125.

19. Y Assaf, L Ben-Sira, S Constantini, L-C Chang, L Beni-Adani (2006), Diffusion Tensor Imaging in Hydrocephalus: Initial Experience, AJNR Am J Neuroradiol 27, pp1717-1724.

20.   L-C Chang, DK Jones, C Pierpaoli C (2005), RESTORE: Robust Estimation of Tensors by Outlier Rejection. Magnectic Resonance in Medicine 53, pp1088-95.

21. SY Berkovich, L-C Chang (1996), Multiprocessor Network Arranging Replicated Objects in Pairwise Balanced Combinatorial Designs, Journal of Circuits, Systems and Computer 6, pp85-91.

 

Conference Papers and Abstracts

1.     X Liang, L-C Chang, A Massoudieh, N Lu, TH. Nguyen, Quantitative Inference of Bacterial Motility Behavior, 2015 International Conference on Computational Science and Computational Intelligence (CSCI), Dec 2015.

2.      V Bui, L-C Chang, S Henkman, A Performance Study of Earth Networks Total Lighting Network (ENTLN) and Worldwide Lightning Location Network (WWLLN), 2015 International Conference on Computational Science and Computational Intelligence (CSCI), Dec 2015.

3.   V Kirnosov, L-C Chang, A Pulkkinen, Automatic Tracking of Coronal Mass Ejection using STEREO Red-colored RGB Coronagraph Images, 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), July 2015.

4.    E Makki, L-C Chang, The Impact of Mobile Usage and Social Media on E-commerce Acceptance and Implementation in Saudi Arabia, 2015 International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-Government (EEE), July 2015.

5.     X Liang, N Lu, M Maghrebi, TH Nguyen, L-C Chang, A Massoudieh, A Copula-based Model to Identify the Parameters of Run and Tumble Bacterial Motility, 2015 The Association of Environmental Engineering & Science Professors (AEESP) Conference, June 2015.

6.     M Jacobs, M Gorbachev, M Benovoy, L-C Chang, A E Arai, L-Y Hsu, Automated Measurement of Arterial Input Function in First-Pass Myocardial Perfusion Magnetic Resonance Images Using Independent Component Analysis, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1332-1335, April 2015.

7.    V Kirnosov, L-C Chang, A Pulkkinen, Automatic Segmentation of Coronal Mass Ejections from STEREO white-light coronagraph images, 2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), July 2014.

8.      E Makki, L-C Chang, E-Commerce in Saudi Arabia: Acceptance and Implementation Difficulties, The 2014 International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-Government (EEE), July 2014.

9.     Jacobs M, L-C Chang, A Pulkinnen, Automatic Segmentation and Classification of Multiple Coronal Mass Ejections from Coronagraph Images, Proceedings of the 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), art. no. 2891, July 2013.

10.   V Dang, E El-Araby, LH Dao, L-C Chang, Accelerating Nonlinear Diffusion Tensor Estimation For Medical Image Processing Using High Performance GPU Clusters, Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors (IEEE ASAP), art. no. 6567587 , pp. 265-268, June 2013.

11.   J Wei, J Messenger, JP Curtis, L-C Chang, A Hospital Outcome Prediction Model in Percutaneous Coronary Intervention: Volume-Specific Analysis Based on Adverse Outcome Ratios and Risk Adjusted Mortality, submitted to The 127th annual meeting of the American Heart Association (AHA), Nov 2012.

12.   L Oliveira, D Borges, F Vidal, L-C Chang, A Fast Eye Localization and Verification Method to Improve Face Matching in Surveillance Videos, Proceedings of IEEE International Conference on Systems, Man and Cybernetics, pp. 840-845. Sep. 2012.

13. M Jacobs, A Pulkinnen, L-C Chang, Improving Coronal Mass Ejection Segmentation Using Pattern  Recognition Techniques, Proceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), vol. II, pp. 975-980, July 2012.

14.  S Rashidian, L-C Chang, Peak Shear Displacement of Rock Fractures, the 46th US Rock Mechanics Geomechanics Symposium, June 2012.

15. L-C Chang, C Pierpaoli, A Robust and Automated Method for Estimating the Expected Signal Standard Deviation in DWI Datasets, the 20th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, May 2012.

16.  C Pierpaoli, L Walker L, A Nayak, L-C Chang, W Ball, K Botteron, J McCracken, R McKinstry, M Rivkin, and the Brain Development Cooperative Group, Age Specific DTI Average Brain Atlases from the NIH MRI Study of Normal Brain Development (PedsDTI). In Proc. Intl. Soc. Mag. Reson. Med. 20:3160, May 2012.

17.  L-C Chang, L Walker, B Behseta, C Pierpaoli, Informed RESTORE for Removal of Physiological Noise Artifacts in Low Redundancy DTI Data, In Proc. of the 19th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Montreal, Canada, p.3898, May 2011.

18. L-C Chang, MA Gorbachev, Accelerating Diffusion Tensor Estimation Using General-Purpose Graphics Processing Unit, In Proc. of the 19th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Montreal, Canada, p.4027, May 2011.

19.  LY Hsu, MA Gorbachev, L-C Chang, S Vasu, C Mancini, WP Bandettini, AE Arai,  Automated Extraction of the Arterial Input Function from Contrast-Enhanced First-Pass Cardiac MR Perfusion Images, In Proc. of the 19th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Montreal, Canada, p.3277, May 2011.

20.  L Walker, N Lange, L-C Chang, C Pierpaoli, and the Brain Development Cooperative Group, A Framework for Analysis of Living Phantom Data in a Multicenter DTI study, In Proc. of the 19th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Montreal, Canada, p.2004, May 2011.

21.   LI Etesi, L-C Chang, A Message-Based Interoperability Framework for Applications in Astronomy, In Proc. of the 11th IEEE International Conference on Information Reuse and Integration, Article number 5558975, pp.1-6, Aug. 2010.

22.  J Wei, L-C Chang, A New Quality Measure of Percutaneous Coronary Intervention—A Volume-Related Performance Comparison Measure, In Proc. of the First AMA-IEEE EMBS Medical Technology Conference, poster presentation, Mar. 2010.

23. L Walker, L-C Chang, C Pierpaoli, How Physiological Noise and Artifacts May Impact Clinical Diffusion Tensor Imaging Studies, In Proc. of the 16th Annual Meeting of the Organization for Human Brain Mapping, Barcelona, Spain, #3383, June 2010.

24.  C Pierpaoli, L Walker, MO Irfanoglu, A Barnett, PJ Basser, L-C Chang, CG Koay, S Pajevic, G Rohde , J Sarlls, M Wu, TORTOISE: an integrated software package for processing of diffusion MRI data, In Proc. of the 18th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Stockholm, Sweden, poster presentation, May 2010.

25.  L-C Chang, Improving RESTORE for Robust Diffusion Tensor Estimation: A Simulation Study, In Proc. of the SPIE 2010 Medical Image, Volume 7623, pp. 762328.1-762328.1.8, May 2010.

26.  L-C Chang, L Walker, C Pierpaoli, Making the Robust Tensor Estimation Approach: "RESTORE" more Robust, In Proc. of the 17th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Honolulu, Hawaii, p.3557, May 2009.

27. L Walker, L-C Chang, E Kanterakis, L Bloy, K Simonyan, R Verma, C Pierpaoli, Statistical Assessment of the Effects of Physiological Noise and Artifacts in a Population Analysis of Diffusion Tensor MRI Data, In Proc. of the 17th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Honolulu, Hawaii, p.459, May 2009.

28.   L-C Chang, CG Koay, PJ Basser, C Pierpaoli, A New Linear Least Squares Method for T1 Estimation from SPGR Signals with Multiple TRs, In Proc. of the SPIE Medical Image, Volume 7258, pp. 72584O.1-72584O.12, Feb. 2009.

29.  M Wu, L-C Chang, L Walker, H Lemaitre, AS Barnett, S Marenco, C Pierpaoli, Comparison of EPI Distortion Correction Methods in Diffusion Tensor MRI using a Novel Framework, In Proc. of the 11th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep. 2008.

30.  M Wu, L-C Chang, L Walker, H Lemaitre, AS Barnett, S Marenco, C Pierpaoli,  Comparison of B0 field mapping method and B-spline image registration method in EPI distortion correction in Diffusion Tensor MRI, CDMRI’08, MICCAI Workshop on Computational Diffusion MRI, New York, oral presentation, Sep. 2008.

31.  L-C Chang, CG Koay, PJ Basser, C Pierpaoli,  Accurate Estimation of T1 from SPGR Signals, In Proc. of the 16th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Toronto, Ontario, Canada, p.3048, May 2008.

32.  L-C Chang, C Pierpaoli, Improving the Accuracy of Diffusion MR Tractography Using RESTORE. In Proc. of the Annual Biomedical Engineering Meeting, Taichung, Taiwan, pp. 224-226, Dec. 2007.

33.  L-C Chang, CG Koay, S Deoni, C Pierpaoli1 C, Comparison of Linear and Non-linear Fitting Methods for Estimating T1 from SPGR Signals. In Proc. of the 15th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Berlin, Germany, #3715, May 2007.

34.   M Wu, L-C Chang, AS Barnett, S Marenco, C Pierpaoli, A Framework for Evaluating the Performance of EPI Distortion Correction Strategies in Diffusion Tensor MRI. In Proc. of the 15th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Berlin, Germany, #1591, May 2007.

35. CG Koay, L-C Chang, PJ Basser, The Cone of Uncertainty is Elliptical: Implications for DTI Tractography. In Proc. of the 15th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Berlin, Germany, p.1602, May 2007.

36.  CG Koay, L-C Chang, S Deoni, C Pierpaoli, An Optimal Framework for T1 Estimation in An SPGR Acquisition. In Proc. of the ISMRM 15th Scientific Meeting, Berlin, Germany, p.1974, May 2007

37. CG Koay, L-C Chang, C Pierpaoli, PJ Basser PJ, Diffusion Tensor Representations and Their Applications to DTI Error Propagation. In Proc. of the 15th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Berlin, Germany, p.1587, May 2007

38. E Ozarslan, L-C Chang, C Pierpaoli, PJ Basser, Roughness: A reshuffling-variant differential geometric index for DWI. In Proc. of the 15th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Berlin, Germany, p.1517, May 2007

39.  RZ Freidlin, E Ozarslan, ME Komlosh, L-C Chang, CG Koay, DK Jones, PJ Basser, Parsimonious Model Selection for DTI Tissue Segmentation and Classification: Study on Simulated and Experimental Data. In Proc. of the 15th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Berlin, Germany, p.1868, May 2007.

40. L-C Chang, C Pierpaoli, PJ Basser, The Variance of DTI-derived Parameters via First-Order Perturbation Methods. In Proc. of the ISMRM 14th Scientific Meeting, Seattle, USA, May 2006.

41.  CG Koay, L-C Chang, C Pierpaoli, PJ Basser, Error Propagation Framework for Diffusion Tensor Imaging. In Proc. of the ISMRM 14th Scientific Meeting, Seattle, USA, May 2006.

42. L-C Chang, GK Rohde, PJ Basser, 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, Oct. 2005.

43. L-C Chang, GK Rohde, PJ Basser, C Pierpaoli, Automatically Estimating Noise-Induced Signal Variance in Magnitude Reconstructed MRI using Kernel Estimator. In Proc. of the ISMRM 13th Scientific Meeting, Miami, USA, May 2005.

44. L-C Chang, GK Rohde, C Pierpaoli, An Automatic Method for Estimating Noise-induced Signal Variance in Magnitude-reconstructed Magnetic Resonance Images. In Proc. of the SPIE Medical Imaging, 5747:1136-1142, San Diego, USA, Feb. 2005.

45.  L-C Chang, GK Rohde, DK Jones, PJ Basser, C Pierpaoli, RESTORE: Robust Estimation of Tensors by Outlier Rejection. In Proc. of the ISMRM 12th Scientific Meeting, Kyoto, Japan, May 2004.

46.  L-Y Hsu, L-C Chang, MH Loew, A Graph Approach for Fast 3D Connected Components Labeling. In Proc. of the Asian Conference on Computer Vision, Taipei, Taiwan, pp. 736-741, 2000.

47.   L-C Chang, SY Berkovich, Information Retrieval Systems by Using Finite Projective Plane. In Proc. of the SIAM Annual Meeting. Toronto, Canada, 1998.

48. SY Berkovich, L-C Chang, Application of Combinatorial Designs for Constructing an Object-Oriented Environment. In Proc. of the SIAM Conference on Discrete Mathematics. Toronto, Canada, 1998.

49. SY Berkovich, L-C Chang, Simulation of Computer Communication Networks with Combinatorial Arrangement of Replicated Objects. In Proc. of the Western Multiconference CNDS, SCS. 172-17, 1997.

50. SY Berkovich, L-C Chang, Investigation of Multiprocessing Network Using Pairwise Balanced Combinatorial Designs. Frontiers, 1995.

 

   

Related Links

Selective publications can be downloaded here

http://2007annualreport.nichd.nih.gov/stbb.htm