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 hp
Sign In
Advertise with Us

Download Mobile App




Mixed Reality Display Improves Cardiac Ablation Accuracy

By MedImaging International staff writers
Posted on 09 Sep 2020
Image: The ELVIS creates a 3D augmented reality view of the heart (Photo courtesy of WUSTL)
Image: The ELVIS creates a 3D augmented reality view of the heart (Photo courtesy of WUSTL)
A real-time holographic mixed-reality display can significantly improve the electrophysiologist's point navigation and accuracy during cardiac ablation, according to a new study.

Developed by researchers at Washington University School of Medicine (WUSTL; St. Louis, MO, USA) and Sentiar (St. Louis, MO, USA), the Enhanced Electrophysiology Visualization and Interaction System (ELVIS) combines proprietary software with the Microsoft (Redmond, WA, USA) HoloLens headset to display three-dimensional (3D) digital images from a standard 2D electroanatomic mapping system (EAMS), along with real-time catheter locations.

The result is an augmented reality platform with real-time holographic visualization of the patient's actual anatomy "floating" over the surgical field, allowing electrophysiologists to perform the procedure by using their gaze to guide the controls. For the study, two electrophysiologists were trained on ELVIS, and then tested the system on 16 patients undergoing electrophysiology studies. The physicians were given 60 seconds to navigate to each of five target points within the geometry of the heart, using both the 3D ELVIS and standard 2D EAMS technology.

The results showed there was no difference in navigation times with either ELVIS or EAMS, but the physicians were significantly more accurate with ELVIS, with an error margin of just 2.99 mm, compared to 4.50 mm for EAMS. When translated to cardiac ablation outcomes, 34% of the ablation lesions created using EAMS would be made outside of the target area, as opposed to just 6% when using the ELVIS 3D display. The study was published on August 17, 2020, in Journal of the American College of Cardiology: Clinical Electrophysiology.

“Given the widespread promise of this technology, mixed reality has the potential to overtake and aggregate current displays in the cardiac catheterization laboratory,” concluded lead author Jennifer Silva, MD, director of pediatric electrophysiology at WUSTL. “What ended up being equally important, if not more important, was that…not only that we can visualize it better, but that we can control it. There are people working in this extended reality space who have come to conclusions that the control is the strongest value-add, particularly in medical applications.”

Catheter ablation is an invasive procedure used to obliterate faulty electrical pathways in the heart using radiofrequency (RF) energy in people suffering from cardiac arrhythmias such as atrial fibrillation (AF), atrial flutter, supraventricular tachycardias (SVT), and Wolff-Parkinson-White syndrome.

Related Links:
Washington University School of Medicine
Sentiar
Microsoft


Medical Radiographic X-Ray Machine
TR30N HF
Digital X-Ray Detector Panel
Acuity G4
Half Apron
Demi
Pocket Fetal Doppler
CONTEC10C/CL

Channels

General/Advanced Imaging

view channel
Image: Example snapshots of the photon energy density at t = 0.5, 0.7, 0.9, 1.1 nanoseconds (ns) on the y = 2.0 cm plane (Horie, S., Yajima, H., Abe, M. et al., Biomedical Engineering Letters (2026). DOI: 10.1007/s13534-026-00578-9)

AI Tool Enables Real-Time Diffuse Optical Tomography for Brain Lesion Detection

Diffuse optical tomography is a noninvasive imaging technique that uses near-infrared light to detect internal abnormalities such as cerebral hemorrhage and tumors. Its clinical utility for real-time ... Read more

Imaging IT

view channel
Image: Researchers develop a vision-language model trained on large-scale data to generate clinically relevant findings from chest computed tomography images through visual question answering (Ms. Maiko Nagao from Meijo University, Japan)

Interactive AI Tool Supports Explainable Lung Nodule Assessment

Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more

Industry News

view channel
Image: MIM KineticID is 510(k)-pending software for dynamic PET imaging and kinetic modeling, enabling time-based radiotracer analysis for clinical and research decisions (Photo courtesy of GE Healthcare)

GE HealthCare Showcases AI-Enabled Nuclear Medicine Portfolio at SNMMI 2026

Nuclear medicine is expanding rapidly as health systems adopt theranostics and broaden access to radiopharmaceuticals, increasing demand for scalable operations and consistent diagnostic confidence.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.