Download heart pump - Greater Stavanger

DIGITAL MEDICINE
TO PREDICT THE UNKNOW
INHERENT DESIGN OF TECHNOLOGY AND PROCEDURES
EXPERIENCES FROM DEVELOPING A «HEART PUMP».
Gunnar W. Birkeland (64, UiS)
• Past;
• Now;
FMC BioPolymer
Polytec (CEO)
• Styremedlem – Helse Fonna
• Styreleder – MET Centre
(40)
ANVENDT FYSIKK OG MATEMATIKK.
Oceanografi og Metereologi.
Prosess og transport av gasser, olje og vann.
Termodynamikk
Metallurgi og overflatekjemi.
Data analyse, tids serie analyse, statistikk,
mva, numerisk modellering (simulering).
Besluttningsstøtte, Operasjonell
risikoanalyse og teknisk sikkerhet.
New tools for decision support
has created > 5 000 000 000
NOK last 10 yrs.
Ongoing;
2 PhD Flow modeling (pipelines)
1 PhD Flow in porous media
1 PhD Seabed temp modeling
Digital medicine
To predict the unknown
Inherent design of technology and procedures
• Required competence;
– DOMENE
– PHYSICS / MATH
– SIMULATION
Getty images
ANSYS in Healthcare
Problem
There was no way to predict the results of surgery on children born
with a heart defect since the surgery required is different for each
individual.
Solution
Using systems engineering and fluid flow simulation, researchers
created a multidomain model of the cardiovascular system that can be
used to predict blood flow.
Result
• The systems model allowed the team to more accurately predict the
results of surgery for children with congenital heart defects.
• This method can be used to train surgeons by helping them to
determine the results of surgery and other treatments on their
patients.
Because there is a wide spectrum of possible surgical treatments to repair a
complex heart defect, patient-specific multidomain modeling can help considerably
in choosing the best treatment to ensure optimal blood flow for the patient,
ultimately improving quality of life.”
Politecnico di Milan
ANSYS in Healthcare Academic Research
Problem
During surgical repair of aneurysms in blood vessels, a
stiff guidewire is used to insert a stent graft. The
guidewire causes the artery to straighten and deform.
Surgeons must estimate the amount of deformation
that may occur to ensure optimal placement of the
stent graft.
Solution
University of Rennes researchers fed CT-scan data into
ANSYS DesignModeler to create a linear elastic model
of arteries. They then used ANSYS Mechanical to
accurately simulate the expected arterial deformation.
Result
Simulations produced more accurate models of arterial
deformation than experienced surgeons’ predictions.
Simulation gives doctors the luxury of knowing what we will experience during
surgery while the patient is still at home so that we are better prepared for
surgical treatment.
Dr. Jean-Philippe Verhoye
Full Professor and Surgeon
University of Rennes
ANSYS in Healthcare Research
Problem
Aortic coarctation is a birth defect that involves narrowing of
the aorta. This narrowing impairs blood flow from the heart
and increases turbulent kinetic energy (TKE) in the blood
vessel. Surgeons can use MRI to assess the patient’s existing
flow field and TKE, but can’t predict what the results will be
following potential interventions.
Solution
Researchers at Linköping University in Sweden used ANSYS
CFX to simulate the turbulent blood flow through the aortic
coarctation.
Result
CFD plots of TKE clearly show flow details that cannot be seen
using MRI, which could be valuable to surgeons.
ANSYS CFD can predict the outcome of an intervention prior to its being
performed; this has generated great interest among clinicians.
Lantz ,J. Et al. Numerical and Experimental Assessment of
Turbulent Kinetic Energy in an Aortic Coarctation. 2013,
Journal of Biomechanics, V46, pp 1851-1858.
Linkoping University
Polytec is assisting the development of a new heartpump by
simulation, design and experimental R&D.
Evolutionary Computation
• Artificial inteligence by evolutionary
algorithms.
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