Moo K Chung

Moo Chung, PhD

PhD, McGill University
Associate Professor, Biostatistics & Medical Informatics

Contact Information:

Waisman Center
1500 Highland Avenue
Room 281
Madison, WI 53705

Research Statement

Dr. Chung’s main research area is computational neuroanatomy, where non invasive brain imaging modalities such as magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) are used to map spatiotemporal dynamics of the human brain. Computational neuroanatomy deals with the computational problems arising from the quantification of the structure and the function of the human brain. Dr. Chung’s research has been concentrated on the methodological development of quantifying anatomical shape variations in both normal and clinical populations using various mathematical and statistical techniques. A major challenge in the field is caused by the massive amount of nonstandard high dimensional non-Euclidean imaging data that are difficult to analyze using available techniques. This requires new computational solutions that are formulated in a differential geometric setting in addressing more complex scientific hypotheses. Other than computational neuroanatomy, Dr. Chung’s interests lie in shape analysis, medical image analysis, nonparametric regression, functional data analysis, random fields theory, and partial differential equations.

Representative Publications

Whyms BJ, Vorperian HK, Gentry LR, Schimek EM, Bersu ET, Chung MK. (2013) The effect of computed tomographic scanner parameters and 3-dimensional volume rendering techniques on the accuracy of linear, angular, and volumetric measurements of the mandible. Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology. 115(5):682-91.

Hanson JL, Adluru N, Chung MK, Alexander AL, Davidson RJ, Pollak SD. (2013) Early Neglect Is Associated With Alterations in White Matter Integrity and Cognitive Functioning. Child Development. 84(5):1566-78.

Hosseinbor AP, Chung MK, Wu YC, Fleming JO, Field AS, Alexander AL. (2012) Extracting quantitative measures from EAP: a small clinical study using BFOR. Medical Image Computing and Computer-Assisted Intervention. 15(Pt 2):280-7.

Gallagher CL, Oakes TR, Johnson SC, Chung MK, Holden JE, Bendlin BB, McLaren DG, Xu G, Nickles RJ, Pyzalski R, DeJesus O, Brown WD. (2011) Rate of 6-[18F]fluorodopa uptake decline in striatal subregions in Parkinson's disease. Movement Disorders. Mar;26(4):614-20.

Gallagher CL, Johnson SC, Bendlin BB, Chung MK, Holden JE, Oakes TR, Brooks BR, Konopacki RA, Dogan S, Abbs JH, Xu G, Nickles RJ, Pyzalski RW, Dejesus OT, Brown WD. (2011) A longitudinal study of motor performance and striatal [18F]fluorodopa uptake in Parkinson's disease. Brain Imaging and Behavior. Sep;5(3):203-11.

Chung MK, Worsley KJ, Nacewicz BM, Dalton KM, Davidson RJ. (2010) General multivariate linear modeling of surface shapes using SurfStat. Neuroimage. Nov 1;53(2):491-505.

Hanson JL, Chung MK, Avants BB, Shirtcliff EA, Gee JC, Davidson RJ, Pollak SD. (2010) Early stress is associated with alterations in the orbitofrontal cortex: a tensor-based morphometry investigation of brain structure and behavioral risk. Journal of Neuroscience. Jun 2;30(22):7466-72.

Chung MK, Singh V, Kim PT, Dalton KM, Davidson RJ. (2009) Topological characterization of signal in brain images using min-max diagrams. Medical Image Computing and Computer-Assisted Intervention. 12(Pt 2):158-66.