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
GLOBETECH PUBLISHING LLC

Download Mobile App




CT Modeling Can Simulate Intracardiac Flow Patterns

By MedImaging International staff writers
Posted on 02 Aug 2018
Print article
Image: Cardiac flow patterns can now be derived from CT alone (Photo courtesy of Oscar Luren / LiU).
Image: Cardiac flow patterns can now be derived from CT alone (Photo courtesy of Oscar Luren / LiU).
A new study shows that blood flow patterns derived from cardiac four-dimensional (4D) computerized tomography (CT) scans are similar to those derived from 4D flow magnetic resonance imaging (MRI).

Researchers at Linköping University (LIU; Sweden) conducted a study in 12 participants (mean age 57 years; seven men) in order to investigate if flow simulations based solely on CT-derived cardiac anatomy were comparable to 4D flow MRI. With the aid of modeling methods designed to simulate fluid flow and turbulence in aeronautical and motor industries, the researchers assessed blood flow in a patient’s heart with the aid of high-resolution CT images. To compile the massive data sets, they used supercomputers at the Swedish National Supercomputer Centre (NSC) at LiU.

Flow patterns and rates, stroke volume, kinetic energy, and flow components were quantified for both techniques, and then compared. The results revealed that cardiac flow patterns were qualitatively and quantitatively akin to 4D flow MRI measurements, as graded by three independent observers. Peak flow rate, stroke volumes, and integrated kinetic energy at peak systole showed high correlation, but kinetic energy levels at early and late filling did not correlate. There was also a high correlation for direct and residual components, but retained and delayed components showed no such correlation. The study was published on June 26, 2018, in Radiology.

“This is the first time we have shown that we can simulate the function of the heart in a particular patient. In the future, we won’t need to use supercomputers: the calculations can be done at the CT scanner,” said study co-author professor of applied thermodynamics and fluid mechanics Matts Karlsson, PhD, director of NSC. “This is a good example of how we manage the infrastructure we have at LiU, with magnetic resonance cameras, computer tomographs, and supercomputers. We don’t sit in our own isolated rooms: it’s easy to carry out cross-disciplinary research at LiU.”

“Magnetic resonance cameras are effective, but they are not available everywhere. The investigation is expensive, patients should not have any metal like pacemakers in their body, and the investigation takes quite some time,” added senior author professor of cardiovascular medicine Tino Ebbers, MD. “Since CT scanning is quick and easy, we can reach completely new patient groups. We can now simulate how the heart is functioning in individual patients.”

Related Links:
Linköping University

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Ultrasound Doppler System
Doppler BT-200
New
Breast Imaging Workstation
SecurView
Silver Member
Mobile X-Ray Barrier
Lead Acrylic Mobile X-Ray Barriers

Print article

Channels

Ultrasound

view channel
Image: CAM figures of testing images (Photo courtesy of SPJ; DOI:10.34133/research.0319)

Diagnostic System Automatically Analyzes TTE Images to Identify Congenital Heart Disease

Congenital heart disease (CHD) is one of the most prevalent congenital anomalies worldwide, presenting substantial health and financial challenges for affected patients. Early detection and treatment of... Read more

Nuclear Medicine

view channel
Image: Whole-body maximum-intensity projections over time after [68Ga]Ga-DPI-4452 administration (Photo courtesy of SNMMI)

New PET Agent Rapidly and Accurately Visualizes Lesions in Clear Cell Renal Cell Carcinoma Patients

Clear cell renal cell cancer (ccRCC) represents 70-80% of renal cell carcinoma cases. While localized disease can be effectively treated with surgery and ablative therapies, one-third of patients either... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.