Computational Anatomy and Diffeomorphometry: Embedding the Brain at Meso-Scale into the Soft-Tissue Condensed Matter Continuum

Dr. Michael Miller
Friday, March 2, 2018
11:00 am - 12:00 pm
SEH, B1270

I will discuss diffeomorphometry, the major tool of Computational anatomy (CA) for placing human shape and form into metric spaces via diffeomorphic correspondences. I will connect the variational approaches of CA to the Euler-Lagrange equations which provide a dynamical systems model on the continuum grouped in terms of forces - velocities - accelerations that we use to represent processes manifesting either atrophy or growth.  I will discuss applications  of circuit-based examples in the brain being measured via magnetic resonance imaging from our studies of neurodegenerative illness.


Photo of Dr. Michael Miller

Michael I. Miller, PhD Engr ’79 (MS), ’84 (PhD)
Massey Professor and Director, Department of Biomedical Engineering
Director of Center for Imaging Science,
Co-Director, Kavli Neuroscience Discovery Institute,
Johns Hopkins University Gilman Scholar

Michael Miller is a biomedical engineer and  pattern theorist, whose research interests focus on computational anatomy for brain mapping within the field of Medical imaging.

From 1984 until 1998, Miller was on the faculty of Washington University in St. Louis, where in 1995 he was named the Newton R. and Sarah L. Wilson Professor in Biomedical Engineering. He joined the Johns Hopkins faculty in 1998 in the department of Biomedical Engineering where he was named the Herschel and Ruth Seder Professor in Biomedical Engineering in July 2003.

Miller has co-authored more than 200 peer-reviewed archival publications as well as two textbooks, the first with  Donald L. Snyder entitled Random Point Processes in Space and Time (most recent edition, 1991), and the second with Ulf Grenander elaborating on their efforts in Computational Anatomy entitled Pattern Theory: From Representation to Inference (2007).

Miller received the national IEEE Biomedical Engineering Thesis Award first prize in 1982, the Johns Hopkins Paul Ehrlich Graduate Student Thesis Award in 1983, and the Presidential Young Investigator Award in 1986. In 2002 he was recognized by ISI Essential Science Indicators for garnering the highest rate of increase in total citations in the field of engineering for his work in Computational Anatomy.

Miller earned a bachelor’s degree from the State University of New York at Stony Brook in 1976. He earned his master’s and doctorate degrees from Johns Hopkins University in 1978 and 1983, respectively. Miller has been involved in founding four start-up companies in the past decade, two of which are currently focused on Biometrics and Biomedical Imaging for Brain Mapping.

Dr. Miller joined the ranks of the Johns Hopkins University Gilman Scholars in 2011. In 2015 Johns Hopkins was awarded the Kavli Neuroscience Discovery Institute, for which Dr. Miller was named co-Director with Ric Huganir the Director. In July 2017 he was named Director, Department of Biomedical Engineering.