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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Statistical inference in soft-tissue mechanics and
  fluid dynamics with an application to prognostica
 tion of myocardial infarction and pulmonary hypert
 ension - Dirk Husmeier (University of Glasgow)
DTSTART;TZID=Europe/London:20190605T153000
DTEND;TZID=Europe/London:20190605T160000
UID:TALK125575AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/125575
DESCRIPTION:A   central problem in biomechanical studies of pe
 rsonalized human left   ventricular (LV) modelling
  is estimating the material properties from in-viv
 o   clinical MRI measurements in a time frame suit
 able for use in the clinic.   Understanding these 
 properties can provide insight into heart function
  or   dysfunction and help inform personalised tre
 atment. However\, finding a   solution to the diff
 erential equations which describe the myocardium t
 hrough   numerical integration can be computationa
 lly expensive. To circumvent this   issue\, we use
  the concept of statistical emulation to infer the
  myocardium   properties in a viable clinical time
  frame using in-vivo MRI data. Emulation   methods
  avoid computationally expensive simulations from 
 the LV model by   replacing it with a surrogate mo
 del inferred from simulations generated   before t
 he arrival of a patient\, vastly improving efficie
 ncy at the clinic.   In the talk I will compare an
 d contrast various emulation strategies\, discuss 
   uncertainty quantification and (it time permits)
  discuss an extension of this   framework to fluid
  dynamics in the pulmonary blood circulation syste
 m for   prognostication of pulmonary hypertension.
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:INI IT
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