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Research Interests:

My long-term research interest is to develop new computational and physical approaches capable of capturing the dynamic interplay between function and structure in the brain through noninvasive imaging techniques such as diffusion magnetic resonance imaging (diffusion MRI). A fundamental issue in diffusion-weighted magnetic resonance imaging (DW-MRI) is to infer from the diffusion-weighted signals the underlying biophysical mechanisms and the geometry of the tissue microstructure. The resolution of this fundamental issue in DW-MRI could provide new insight into the relationship between functional connectivity and structural connectivity in the brain. I am also keenly interested in exploratory research such as developing new contrast agents or quantitative measures that are sensitive to changes in white matter such as Alzheimer's disease and other neurodegenerative diseases. 
 


Publications:

 

[27] Koay CG, Özarslan E, Johnson KM, Meyerand ME.  Sparse and optimal acquisition design for diffusion MRI and beyond. Medical Physics 2012; 39(5):2499-2511. (A Case of Searching for a Needle in the Universe)

[26] Özarslan E, Shepherd TM, Koay CG, Blackband SJ, Basser PJ. Temporal scaling characteristics of diffusion as a new MRI contrast: Findings in rat hippocampus. NeuroImage 2012; 60 (2):1380-1393.

[25] Koay CG, Hurley SA, Meyerand ME. Extremely efficient and deterministic approach to generating optimal ordering of diffusion MRI measurements. Medical Physics 2011; 38 (8): 4795-4801. Software

[24] Koay CG. A simple scheme for generating nearly uniform distribution of antipodally symmetric points on the unit sphere. Journal of Computational Science 2011; 2: 376-380. Software

[23] Koay CG. Analytically exact spiral scheme for generating uniformly distributed points on the unit sphere. Journal of Computational Science 2011; 2: 88-91. Software

[22] Özarslan E, Shemesh N, Koay CG, Cohen Y and Basser PJ. Nuclear magnetic resonance characterization of general compartment size distributions. New Journal of Physics 2011; 015010 (1-17).

[21] Koay CG. Least squares approaches to diffusion tensor estimation. In Derek K. Jones, PhD (Ed.), Diffusion MRI: Theory, Methods, and Applications. Oxford University Press, 2010. (ISBN 0195369777). Preprint copy is available

[20] Walker L, Chang LC, Koay CG, Sharma N, Cohen L, Verma R and Pierpaoli C. Effects of physiological noise in population analysis of diffusion tensor MRI data. NeuroImage 2011; 54(2): 1168-1177.

[19] Nevo U, Özarslan E, Komlosh ME, Koay CG, Sarlls JE and Basser PJ. A system and mathematical framework to model shear flow effects in biomedical DW-imaging and spectroscopy. NMR in Biomedicine 2010; 23(7): 734-744.

[18] Irfanoglu MO, Koay CG, Pajevic S, Machiraju R, and Basser PJ. Diffusion tensor field registration in the presence of uncertainty. MICCAI 2009; Part I, LNCS 5761:181–189

[17] Özarslan E, Koay CG and Basser PJ.  Remarks on q-space MR propagator in partially restricted, axially-symmetric, and isotropic environments. Magnetic Resonance Imaging 2009; 27(6): 834-44.

[16] Koay CG, Özarslan E and Pierpaoli C. Probabilistic Identification and Estimation of Noise (PIESNO): A self-consistent approach and its applications in MRI. Journal of Magnetic Resonance 2009; 199: 94-103. PIESNO Website.

[15] Koay CG. On the six-dimensional orthogonal tensor representation of the rotation in three dimensions: A simplified approach. Mechanics of Materials. 2009; 41: 951-953.

[14] Koay CG, Özarslan E and Basser PJ. A signal transformational framework for breaking the noise floor and its applications in MRI. Journal of Magnetic Resonance 2009; 197: 108-119. STF Website.

[13] Chang LC, Koay CG, Basser PJ and Pierpaoli C. Linear least-squares method for unbiased estimation of T1 from SPGR signals. Magnetic Resonance in Medicine 2008; 60(2): 496-501.
 
[12] 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 Transactions on Medical Imaging 2008; 27(6): 834-846.

[11] 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 Transactions on Medical Imaging 2007; 26(11): 1576-1584.

[10] Koay CG, Sarlls JE and Özarslan E. Three dimensional analytical magnetic resonance imaging phantom in the Fourier domain. Magnetic Resonance in Medicine. 2007; 58: 430-436. Software.

[9] Koay CG, Chang LC, Pierpaoli C and Basser PJ. Error propagation framework for diffusion tensor imaging via diffusion tensor representations. IEEE Transactions on Medical Imaging 2007; 26(8): 1017-1034. Erratum in 2007; 26(10): 1424. Preprint copy is available.

[8] McMillan KM, Rogers BP, Koay CG, Laird AR, Price RR and Meyerand ME. An objective method for combining multi-parametric MRI datasets to characterize malignant tumors. Medical Physics. 2007; 34(3): 1053-1061.

[7] Chang LC, Koay CG, Pierpaoli C and Basser PJ. The variance of estimated DTI-derived parameters via first-order perturbation methods. Magnetic Resonance in Medicine. 2007; 57: 141-149.

[6] Koay CG, Chang LC, Carew JD, Pierpaoli C and Basser PJ. A unifying theoretical and algorithmic framework for least squares methods of estimation in diffusion tensor imaging. Journal of Magnetic Resonance 2006; 182: 115-125.

[5] Koay CG, Carew JD, Alexander AL, Basser PJ and Meyerand ME. Investigation of anomalous estimates of some tensor-derived quantities in diffusion tensor imaging. Magnetic Resonance in Medicine. 2006; 55: 930-936.

[4] Koay CG and Basser PJ. Analytically exact correction scheme for signal extraction from noisy magnitude MR signals. Journal of Magnetic Resonance 2006; 179: 477-482.

[3] Koay CG. Advances in data analysis of diffusion tensor imaging (Paperback). ProQuest (UMI), 2006. ISBN 9780542283062.

[2] Crescimanno M, Koay CG, Peterson R and Walsworth R. Analytical estimate of the critical velocity for vortex pair creation in trapped Bose condensates. Physics Review A. 2000; 62 (6): 063612.

[1] Crescimanno M, Koay CG and Peterson R. Limits to sympathetic evaporative cooling of a two-component Fermi gas. Physics Review A. 2000; 61 (5): 053602.


Software:

I am the principal developer of HIGHLY SPECIFIC BUT EDGILY EFFECTIVE DATA-PROCESSING (HI-SPEED) SOFTWARE PACKETS (http://sites.google.com/site/hispeedpackets). A poster showcasing the HI-SPEED software packets was presented at the 2009 ISMRM Educational Session, click here to download the poster. The site also contains several brief notes on various topics related to my research. Although the core routines of HI-SPEED are written in Java, special interfaces to these routines in other programming languages such as IDL, MATLAB and Mathematica are also available.


Selected Presentation Slides:

[1]. Workshop on Biomedical Image Analysis and Algorithms (There was a typo on slide #12 in the original version, which is available through the website of the Norbert Wiener Center. The correct version is made available on this site. Here is the link )

[2]. PIESNO

[3]. Breaking the noise floor

 

Contact Info:

Cheng Guan Koay, PhD

Department of Medical Physics
University of Wisconsin School of Medicine and Public Health
1161 Wisconsin Institutes for Medical Research
1111 Highland Avenue
Madison, WI 53705

Email: cgkoay AT wisc DOT edu (replace "AT" with "@" and "DOT" with "." )


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cg k,
Jan 12, 2011 11:07 AM
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Jan 24, 2011 11:03 AM
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May 18, 2011 2:22 PM