We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App




Surgical Planning Software Simulates Cardiac Blood Flow

By HospiMedica International staff writers
Posted on 02 Mar 2017
Print article
Image: A simulation showing blood flowing through the heart of a baby born with a defect (Photo courtesy of Marsden Lab / Stanford University).
Image: A simulation showing blood flowing through the heart of a baby born with a defect (Photo courtesy of Marsden Lab / Stanford University).
A new technique uses imaging data and specialized simulation software to predict the prospective results of heart surgery.

Under development at Stanford University, SimVascular is an open source software that integrates custom code with open source packages to support clinical treatment and basic science research. SimVascular uses magnetic resonance imaging (MRI) and computerized tomography (CT) imaging data to construct a three-dimensional (3D) anatomical model of the heart, and afterwards simulates the patient’s blood flow using advanced tools to determine physiologic boundary conditions and fluid structure interaction.

The software includes an efficient finite element Navier-Stokes flow solver for complex geometries, and has already been used to create computational models of normal and diseased human cardiovascular and pulmonary anatomy, with concurrent input and output boundary conditions for various physiologic states. The vascular model repository--a sister project of SimVascular--will help simulate cardiovascular and pulmonary solid and fluid mechanics, providing spatially and temporally-resolved benchmark solutions for academic, government, and industry researchers to verify their computational methods.

“When you come into the hospital and get scanned in the MRI machine or a CT scanner, what we often get is a beautiful picture of your anatomy,” said professor of pediatrics and bioengineering Alison Marsden, PhD, of the Stanford Cardiovascular Biomechanics Computational Lab. “But we don’t get often this detailed picture of how the blood is flowing, recirculating, and moving through the blood vessels. And we also can’t use the imaging to make predictions.”

“Many surgeons now use a pencil and paper to sketch out their surgical plan based on the patient’s images,” added Professor Marsden. “What we’re trying to do is bring in that missing piece of what are these detailed blood flow patterns and what might happen if we go in and make an intervention; for example, opening up a blocked blood vessel or putting in a bypass graft.”

Gold Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Steam Sterilizer
2000 RBE

Print article

Channels

Critical Care

view channel
Image: The permeable wearable electronics developed for long-term biosignal monitoring (Photo courtesy of CityUHK)

Super Permeable Wearable Electronics Enable Long-Term Biosignal Monitoring

Wearable electronics have become integral to enhancing health and fitness by offering continuous tracking of physiological signals over extended periods. This monitoring is crucial for understanding an... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The PATHFAST hs-cTnI-II high-sensitivity troponin assay has been developed for the PATHFAST Biomarker Analyzer (Photo courtesy of Polymedco)

POC Myocardial Infarction Test Delivers Results in 17 Minutes

Chest pain is the second leading cause of emergency department (ED) visits by adults in the United States, generating over 7 million visits annually. In the event of a suspected heart attack, physicians... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.