Greek multicast network improves interventional teleradiology

Article

Few existing teleradiology systems are able to support the collaboration demands of remote interventional radiology procedures. Most suffer from limited bandwidth, end-to-end delay, and problems with clinically acceptable image quality.

Few existing teleradiology systems are able to support the collaboration demands of remote interventional radiology procedures. Most suffer from limited bandwidth, end-to-end delay, and problems with clinically acceptable image quality.Researchers in Greece have proposed a solution in the form of a multicast hybrid satellite system that enables more effective interventional teleradiology collaboration."We developed a system that addresses previous challenges by multicasting required wavelet-based video feeds," said Lefteris G. Gortzis, Ph.D., of the medical physics department at the University of Patras. The system uses interactive features within a common multiscreen interface.Recent testing demonstrated the feasibility of the system. Eight interventional radiologists and a vascular surgeon participated via satellite link in several fully collaborative, complex interventional radiology procedures with an average duration of 90 minutes.The key characteristic of the new system is that it effectively addresses current remote inefficiencies by multicasting the required wavelet-based data."The system supports remote interventional collaboration through the employment of a hybrid satellite-terrestrial network, a prototype multicast version of a wavelet-based interactive communication application called WinVicos, and a partition aggregation and conditional coding (PACC) wavelet codec," Gortzis said.The proposed system appears to achieve its favorable effect on synchronous collaboration during advanced interventional radiology procedures over a teleradiology network by improving intervention technique planning and reducing radiation exposure risk. It also is effective at handling necessary heavy data traffic loads, including catheterization lab visual reconstruction and online availability of previous studies, he said.The Greek system is composed of four dispersed collaborative nodes located at three sites: two nodes at the University Hospital of Patras, one node at Charité Hospital in Berlin, and one intermediate node at the National Centre for Scientific Research in Athens. The system employs a common multiscreen interface and multicasts at least five video feeds simultaneously, Gortzis said.

The video feeds are presented in popup windows displaying:

  • the angio unit output signal, which is captured to support the visual reconstruction of the intervention area
  • the cath lab ceiling camera output signal, which captures hand movements of the interventionalist performing the procedure
  • the document camera output signal, which is captured to visualize MRI or MR cholangiopancreatography
  • the collaborators' camera output signals, which are captured separately to support conference capabilities

Recent Videos
Improving Access to Nuclear Imaging: An Interview with SNMMI President Jean-Luc C. Urbain, MD, PhD
SNMMI: 18F-Piflufolastat PSMA PET/CT Offers High PPV for Local PCa Recurrence Regardless of PSA Level
SNMMI: NIH Researcher Discusses Potential of 18F-Fluciclovine for Multiple Myeloma Detection
SNMMI: What Tau PET Findings May Reveal About Modifiable Factors for Alzheimer’s Disease
Emerging Insights on the Use of FES PET for Women with Lobular Breast Cancer
Can Generative AI Reinvent Radiology Reporting?: An Interview with Samir Abboud, MD
Mammography Study Reveals Over Sixfold Higher Risk of Advanced Cancer Presentation with Symptom-Detected Cancers
Combining Advances in Computed Tomography Angiography with AI to Enhance Preventive Care
Study: MRI-Based AI Enhances Detection of Seminal Vesicle Invasion in Prostate Cancer
What New Research Reveals About the Impact of AI and DBT Screening: An Interview with Manisha Bahl, MD
Related Content
© 2025 MJH Life Sciences

All rights reserved.