Home Reading Station Allows Radiologists to Work from Afar
|
By MedImaging International staff writers Posted on 17 Feb 2021 |

Image: The eGFX Home Read Station connecting a laptop to Barco Monitors (Photo courtesy of VisionTek)
A new radiology solution specifically designed for remote reading provides the same level of quality, security, and performance as a hospital workstation.
Developed jointly by Barco (Kortrijk, Belgium) and VisionTek (Schaumburg, IL, USA), the eGFX Home Read Station combines a pre-installed Barco MXRT-display controller with the VisionTek Thunderbolt 3 Mini eGFX Enclosure. The sleek, portable device sits on a desk or hidden away beneath it, discretely handling graphic intensive medical scan applications. To use, a laptop or PC are connected to the enclosure to start reading medical images and obtain access to additional features, such as Barco’s clinical tools and QAWeb.
The eGFX Home Read Station provides four DisplayPort 1.4 video outputs; two USB 3.0 ports on the front for added connectivity; a RJ 45 Gigabit Ethernet port for high speed network connectivity; dual Thunderbolt 3 controllers for dedicated bandwidth; an aluminum design for lightweight performance; and a compact design and small footprint. The system is compatible with Barco display systems and validated mobile workstations from Lenovo, Dell, and HP. Using Barco QAWeb Enterprise, quality and compliance of all workstations can be managed remotely, so software updates and security scans can be executed easily.
“This configuration is seamlessly deployable and mirrors the hospital reading environment, providing the same diagnostic confidence and medical compliance maintained within hospital walls,” said Mike Sklar, VP of Healthcare Sales for the Americas at Barco. “It’s paired with Barco’s QAWeb calibration and monitoring software, which is the industry's first and only web-based service for high-grade quality assurance.”
“VisionTek’s Mini eGFX enclosure powered by Barco MXRT series graphics boards and diagnostic displays allow radiologists to remotely read scans in the safety of their home office,” said Michael Innes, president of VisionTek. “VisionTek is very proud to play a small part in technology innovation that impacts some of the most critical healthcare applications within the radiology community.”
The Covid-19 pandemic has forced a significant portion of the workforce to work from home. Remote reading allows radiologists to work more efficiently, ensure optimal working conditions, and enables a flexible work schedule. On-call demand and weekend and late-evening duties, for example, can be performed at home instead of at the hospital. With the millennial generation and digital natives entering the workforce, home reading is becoming a standard benefit in radiology hiring.
Related Links:
Barco
VisionTek
Developed jointly by Barco (Kortrijk, Belgium) and VisionTek (Schaumburg, IL, USA), the eGFX Home Read Station combines a pre-installed Barco MXRT-display controller with the VisionTek Thunderbolt 3 Mini eGFX Enclosure. The sleek, portable device sits on a desk or hidden away beneath it, discretely handling graphic intensive medical scan applications. To use, a laptop or PC are connected to the enclosure to start reading medical images and obtain access to additional features, such as Barco’s clinical tools and QAWeb.
The eGFX Home Read Station provides four DisplayPort 1.4 video outputs; two USB 3.0 ports on the front for added connectivity; a RJ 45 Gigabit Ethernet port for high speed network connectivity; dual Thunderbolt 3 controllers for dedicated bandwidth; an aluminum design for lightweight performance; and a compact design and small footprint. The system is compatible with Barco display systems and validated mobile workstations from Lenovo, Dell, and HP. Using Barco QAWeb Enterprise, quality and compliance of all workstations can be managed remotely, so software updates and security scans can be executed easily.
“This configuration is seamlessly deployable and mirrors the hospital reading environment, providing the same diagnostic confidence and medical compliance maintained within hospital walls,” said Mike Sklar, VP of Healthcare Sales for the Americas at Barco. “It’s paired with Barco’s QAWeb calibration and monitoring software, which is the industry's first and only web-based service for high-grade quality assurance.”
“VisionTek’s Mini eGFX enclosure powered by Barco MXRT series graphics boards and diagnostic displays allow radiologists to remotely read scans in the safety of their home office,” said Michael Innes, president of VisionTek. “VisionTek is very proud to play a small part in technology innovation that impacts some of the most critical healthcare applications within the radiology community.”
The Covid-19 pandemic has forced a significant portion of the workforce to work from home. Remote reading allows radiologists to work more efficiently, ensure optimal working conditions, and enables a flexible work schedule. On-call demand and weekend and late-evening duties, for example, can be performed at home instead of at the hospital. With the millennial generation and digital natives entering the workforce, home reading is becoming a standard benefit in radiology hiring.
Related Links:
Barco
VisionTek
Latest Radiography News
- Routine Mammograms Could Predict Future Cardiovascular Disease in Women
- AI Detects Early Signs of Aging from Chest X-Rays
- X-Ray Breakthrough Captures Three Image-Contrast Types in Single Shot
- AI Generates Future Knee X-Rays to Predict Osteoarthritis Progression Risk
- AI Algorithm Uses Mammograms to Accurately Predict Cardiovascular Risk in Women
- AI Hybrid Strategy Improves Mammogram Interpretation
- AI Technology Predicts Personalized Five-Year Risk of Developing Breast Cancer
- RSNA AI Challenge Models Can Independently Interpret Mammograms
- New Technique Combines X-Ray Imaging and Radar for Safer Cancer Diagnosis
- New AI Tool Helps Doctors Read Chest X‑Rays Better
- Wearable X-Ray Imaging Detecting Fabric to Provide On-The-Go Diagnostic Scanning
- AI Helps Radiologists Spot More Lesions in Mammograms
- AI Detects Fatty Liver Disease from Chest X-Rays
- AI Detects Hidden Heart Disease in Existing CT Chest Scans
- Ultra-Lightweight AI Model Runs Without GPU to Break Barriers in Lung Cancer Diagnosis
- AI Radiology Tool Identifies Life-Threatening Conditions in Milliseconds
Channels
MRI
view channel
Novel Imaging Approach to Improve Treatment for Spinal Cord Injuries
Vascular dysfunction in the spinal cord contributes to multiple neurological conditions, including traumatic injuries and degenerative cervical myelopathy, where reduced blood flow can lead to progressive... Read more
AI-Assisted Model Enhances MRI Heart Scans
A cardiac MRI can reveal critical information about the heart’s function and any abnormalities, but traditional scans take 30 to 90 minutes and often suffer from poor image quality due to patient movement.... Read more
AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
Hypertrophic cardiomyopathy is one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young individuals and athletes. While many patients live normal lives, some... Read moreUltrasound
view channel
Wearable Ultrasound Imaging System to Enable Real-Time Disease Monitoring
Chronic conditions such as hypertension and heart failure require close monitoring, yet today’s ultrasound imaging is largely confined to hospitals and short, episodic scans. This reactive model limits... Read more
Ultrasound Technique Visualizes Deep Blood Vessels in 3D Without Contrast Agents
Producing clear 3D images of deep blood vessels has long been difficult without relying on contrast agents, CT scans, or MRI. Standard ultrasound typically provides only 2D cross-sections, limiting clinicians’... Read moreNuclear Medicine
view channel
PET Imaging of Inflammation Predicts Recovery and Guides Therapy After Heart Attack
Acute myocardial infarction can trigger lasting heart damage, yet clinicians still lack reliable tools to identify which patients will regain function and which may develop heart failure.... Read more
Radiotheranostic Approach Detects, Kills and Reprograms Aggressive Cancers
Aggressive cancers such as osteosarcoma and glioblastoma often resist standard therapies, thrive in hostile tumor environments, and recur despite surgery, radiation, or chemotherapy. These tumors also... Read more
New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
Detecting recurrent prostate cancer remains one of the most difficult challenges in oncology, as standard imaging methods such as bone scans and CT scans often fail to accurately locate small or early-stage tumors.... Read moreGeneral/Advanced Imaging
view channel
AI-Based Tool Accelerates Detection of Kidney Cancer
Diagnosing kidney cancer depends on computed tomography scans, often using contrast agents to reveal abnormalities in kidney structure. Tumors are not always searched for deliberately, as many scans are... Read more
New Algorithm Dramatically Speeds Up Stroke Detection Scans
When patients arrive at emergency rooms with stroke symptoms, clinicians must rapidly determine whether the cause is a blood clot or a brain bleed, as treatment decisions depend on this distinction.... Read moreImaging IT
view channel
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
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read morePatient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more







