Sarang Joshi, University of Utah, “Analyzing the Changing Anatomy”

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Meet The Speaker

“Analyzing the Changing Anatomy”

Dr. Sarang Joshi joined SCI as an Associate Professor of the Department of Bio Engineering in 2006. Before coming to Utah, Dr. Joshi was an Assistant Professor of Radiation Oncology and an Adjunct Assistant Professor of Computer Science at the University of North Carolina in Chapel Hill. Prior to joining Chapel Hill Dr. Joshi was Director of Technology Development at IntellX, a Medical Imaging start-up company which was later acquired by Medtronic. Sarang’s research interests are in the field of Computational Anatomy. The principal aim of computational anatomy is the development of specialized mathematical and computational tools for the precise study of anatomical variability and the application of these tools for improved medical treatment, diagnosis and understanding of disease. In 2005 he spent a year on sabbatical at DKFZ (German Cancer Research Center) in Heidelberg, Germany, as a visiting scientist in the Department of Medical Physics where he focused on developing four dimensional radiation therapy approaches for improved treatment of Prostate and Lung Cancer. He was also one of the founding partner of Morphormics, Inc. which was recently acquired by Accuray. He has won numerous awards including the 2007 David Marr Best Paper Award, The international journal Signal Processing 2010 Most cited paper Award, and MICCAI 2010 Best of the Journal Issue Award. He holds numerous patents in the area of image registration and segmentation.

Seminar Abstract

“Analyzing the Changing Anatomy”

In this talk I will present computational and analytical tools we have been developing at University of Utah for the analysis of anatomical image ensembles that are designed to capture changes in anatomy. The fundamental analytical framework we have been using is that of regression analysis where the dependent variable is the anatomical configuration while the independent variable is application domain specific. I will exemplify the application of this general methodology to various medical imaging applications ranging from the analysis of Internal Organ Motion as imaged in 4D respiratory correlated CT imaging spanning few minutes to that of the study changes in brain anatomy associated with normal aging and neurodegenerative diseases such as Alzheimer’s spanning decades.

Note: Light lunch will be served starting at 12:30pm.

 

JHU - Institute for Computational Medicine