Computation-Enhanced Surgery and Intervention: An Engineering Exemplar in Translation

#Computation-Enhanced; #Surgery; #Intervention; #treatment; #biophysical #models; #biomedical #engineering; #therapy #mechanism; #EMBS; #IEEE

Professor Miga will describe new treatment platforms designed for both treatment and discovery that include multiple approaches using complex biophysical models and therapeutical data to improve patient outcome, advance bioengineering research and improve training paradigms.

While modern medical imaging coupled to contemporary image processing and informatics has allowed for 
dramatic expansions of diagnostic information, similar advances in procedural medicine have lagged due 
to systematic barriers associated with conventional practice and clinical translational research. The work 
in this presentation paints a different picture where surgery and intervention advancements no longer 
represent fragmented injections of technology to advance focal capabilities. Rather, the assertion in this 
talk is that technology treatment platforms of the future will be intentionally designed for the dual purpose 
of treatment and discovery. As an exemplar, a platform technology is presented that translates complex 
biophysical models represented by large systems of equations from predictive roles to ones that are 
integrated to guide therapeutic applications such as tissue resection and locoregional intervention. The 
work then goes on to suggest the use of quantitative, biomarker image-data driven forecasting as a means 
to harness phenotypic presentation of disease for improving therapy application and potentially outcome. 
Throughout the work, the common thread that ties the approaches together is the concept of biophysical 
models serving as a constraining scaffold for sparse therapeutic & surgical/interventional data which when 
of sufficient strength enables a functional purpose greater than the sum of contributing data. This blend of 
model, therapy mechanism, phenotypic presentation, and therapeutic control as described typifies one 
realization of these intraprocedural technology platforms designed for treatment and discovery. Finally, the 
talk will conclude by looking at the impact on the field of biomedical engineering as well as paradigms being 
investigated to codify training.

  Date and Time




  • Date: 05 Oct 2022
  • Time: 09:00 AM to 10:00 AM
  • All times are (UTC-07:00) Mountain Time (US & Canada)
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  • Starts 04 July 2022 11:15 AM
  • Ends 05 October 2022 10:15 AM
  • All times are (UTC-07:00) Mountain Time (US & Canada)
  • No Admission Charge


Dr. Michael I. Miga, Ph.D.


Computation-Enhanced Surgery and Intervention: An Engineering Exemplar in Translation

Procedural medicine has lagged the dramatic expansions in medical imaging, imaging processing and informatics.  Professor Miga will describe a new picture where Medical treatments can provide both treatment and discovery by including multiple approaches to improve patient therapy and outcome, as well as advance bioengineering and training paradigms.


Michael I. Miga, Ph.D. received his B.S. and M.S. from the University of  Rhode Island in Mechanical Engineering and Applied Mechanics, 
respectively. He received his Ph.D. from Dartmouth College specializing in biomedical engineering. He joined the faculty in the Department of Biomedical Engineering at Vanderbilt University in 2001 and is currently the Harvie Branscomb Professor at Vanderbilt. He is a Professor of Biomedical Engineering, Radiology and Radiological Sciences, Neurological Surgery, and Otolaryngology. He is director of the Biomedical Modeling Laboratory, and co-founder of the Vanderbilt Institute for Surgery and Engineering (VISE, He has been PI on several NIH grants concerned with image-guided brain, liver, kidney, and breast surgery. He is also PI and Director of a novel NIH T32 training program entitled, ‘Training Program for Innovative Engineering Research in Surgery and Intervention’ that is focused on the creation of translational technologies for treatment and discovery in surgery and intervention. He also was a coinventor of the first FDA cleared image guided liver surgery system. Dr. Miga is an AIMBE and SPIE Fellow and has served as a charter member of the Biomedical Imaging Technology (BMIT-B) and the Bioengineering, Technology, and Surgical Sciences (BTSS) Study Sections at the National Institutes of 
Health from 2010-2014, and 2017-2021, respectively. His research interests are in the fields of computational modeling, inverse problems/computational imaging, soft-tissue biomechanics/biotransport, technology-guided therapy, image/imaging-guided surgery and intervention, and data-driven procedural medicine.


Presentation by Prof. Miga followed by Q&A 

Find more information about Professor Miga and the Venderbilt Institute for Surgery and Engineering at





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