News | December 27, 2011

Advanced Surgical Image Navigation System Enables Faster, More Precise Surgery

December 27, 2011 – The university hospital Klinikum rechts der Isar in Munich, Germany, is the first hospital in the world to operate with Brainlab's Curve image-guided surgery system. Curve is Brainlab's latest generation of image-guided surgery systems. The new technology provides surgeons with better possible guidance and control during surgery, enabling faster, more precise and safer interventions.

Curve is a highly advanced navigation system that integrates the state-of-the-art software from Brainlab to allow instantaneous 3-D visualization during surgery. Importantly, during surgery, ultra-fast image updates to its advanced display screens allow surgical instruments to be navigated immediately by surgeons.

Professor Bernhard Meyer, chairman of the Neurosurgery Department at Klinikum rechts der Isar, said, "We are extremely happy to be able to use the Curve system to support surgery as we believe it can offer advantages for both patients and medical staff. Curve is much more user-friendly than any other surgical navigation system we have used before and offers tools that will help improve outcomes for our patients. For example, by having ultra-fast access to updated images in the operating room allows us to make informed decisions on-the-spot and best-possible intra-operative control."

The new navigation platform also has multiple interfaces to support image sharing and enhancement. Its streaming option also enables surgeons to transfer live images to a PC outside the operating room, thus allowing other experts to view surgery as it happens. Brainlab's clinical online network Quentry further supports safe and fast sharing of patient data with colleagues around the world via cloud computing. The open architecture of the system facilitates the exchange between clinical users so that patients are able to benefit from combined medical expertise.

Other benefits of the system include a motorized camera that can be adjusted effortlessly at any point during the intervention using steering buttons on the monitor. Plus eight multidirectional wheels with cable deflectors allow medical staff to rapidly maneuver the Curve system in and out of the operating room as required.

The Curve product development has been guided by clinical user feedback. The result is an intuitive device that powers ultra-fast image updating and session-sharing. Curve has been presented to the medical community at congresses in Washington and Rome in October 2011.

For more information: www.brainlabcurve.com

 

Related Content

News | Remote Viewing Systems | June 14, 2018
International Medical Solutions (IMS) recently announced that the American College of Radiology (ACR) added IMS'...
Wake Radiology Launches First Installation of EnvoyAI Platform
News | Artificial Intelligence | June 13, 2018
Artificial intelligence (AI) platform provider EnvoyAI recently completed their first successful customer installation...
How AI and Deep Learning Will Enable Cancer Diagnosis Via Ultrasound

The red outline shows the manually segmented boundary of a carcinoma, while the deep learning-predicted boundaries are shown in blue, green and cyan. Copyright 2018 Kumar et al. under Creative Commons Attribution License.

News | Ultrasound Imaging | June 12, 2018 | Tony Kontzer
June 12, 2018 — Viksit Kumar didn’t know his mother had...
Zebra Medical Vision Unveils AI-Based Chest X-ray Research
News | Artificial Intelligence | June 08, 2018
June 8, 2018 — Zebra Medical Vision unveiled its Textray chest X-ray research, which will form the basis for a future
Konica Minolta Launches AeroRemote Insights for Digital Radiography
Technology | Analytics Software | June 07, 2018
Konica Minolta Healthcare Americas Inc. announced the release of AeroRemote Insights, a cloud-based, business...
Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Sponsored Content | Case Study | Artificial Intelligence | June 05, 2018
The power to predict a cardiac arrest, support a clinical diagnosis or nudge a provider when it is time to issue medi
How image sharing through a health information exchange benefits patients while saving time and money is depicted in this slide shown at HIMSS 2018. Graphic courtesy of Karan Mansukhani.

How image sharing through a health information exchange benefits patients while saving time and money is depicted in this slide shown at HIMSS 2018. Graphic courtesy of Karan Mansukhani.

Feature | Information Technology | June 05, 2018 | By Greg Freiherr
A regional image exchange system is saving lives and reducing radiology costs in Maryland by improving the efficiency
Using Imaging Analytics for Radiology, VCU Health in Richmond, Va., has developed a dashboard to view turnaround time analysis. This functionality allows drill down for each technologist and radiologist and looks at the different steps of the imaging cycle.

Using Imaging Analytics for Radiology, VCU Health in Richmond, Va., has developed a dashboard to view turnaround time analysis. This functionality allows drill down for each technologist and radiologist and looks at the different steps of the imaging cycle.

Sponsored Content | Case Study | Information Technology | June 05, 2018
Sharon Gibbs, director of the radiology department at VCU Health in Richmond, Va., aims to provide quality, timely and...
PACS and the Road to Reconstruction
Feature | PACS | June 05, 2018 | By Dave Whitney and Jef Williams
The PACS — picture archiving and communication systems — have been in existence for more than 45 years. One of the...
Videos | Patient Engagement | June 04, 2018
At SIIM 2018, Alexander J. Towbin, M.D., Radiologist, Department of Radiology and Medical Imaging, Neil D. Johnson...
Overlay Init