Philips’ big-screen 3D creates sensation at ECR

Article

Three-D took on a new dimension at the European Congress of Radiology, where Philips Medical systems combined a big-screen LCD with algorithms developed initially to convert DVD-based movies into 3D.

Three-D took on a new dimension at the European Congress of Radiology, where Philips Medical systems combined a big-screen LCD with algorithms developed initially to convert DVD-based movies into 3D.

The combination, oriented toward medical imaging, produced striking images of the brain with vasculature protruding, cutaways of the human skull, an aneurysm bulging between two obviously ineffective stents, and a shot of the abdomen with an interventional tool transecting tissue. All were hanging in air, projecting a realism not possible on conventional flat screens.

Sophie Perceval, Philips marketing manager for cardiovascular x-ray, noted that the technology, a work-in-progress, is being examined for its value as a review medium rather than for diagnostic applications. The images take shape only when viewed from a meter or more away, a distance necessary for the eye to appreciate the illusion of 3D. They might provide physicians another perspective on data, but their true clinical value, if any, remains to be determined.

The concept behind the innovative display, according to a source at Philips, came from the consumer side of the company. The algorithms behind the medical projections were developed initially to reformat Hollywood-style movies played at home.

Philips must now decide whether these algorithms might be leveraged in medical imaging. One thing was certain at the ECR: They can stop radiologists in their tracks.

In the often-bustling aisle by the Philips booth, visitors in a hurry to get where they were going glanced the 3D images hanging in space, instinctively stepped back, and paused.

Recent Videos
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
Can AI Assessment of Longitudinal MRI Scans Improve Prediction for Pediatric Glioma Recurrence?
A Closer Look at MRI-Guided Adaptive Radiotherapy for Monitoring and Treating Glioblastomas
Incorporating CT Colonography into Radiology Practice
What New Research Reveals About Computed Tomography and Radiation-Induced Cancer Risk
What New Interventional Radiology Research Reveals About Treatment for Breast Cancer Liver Metastases
New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection
Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?
Employing AI in Detecting Subdural Hematomas on Head CTs: An Interview with Jeremy Heit, MD, PhD
Related Content
© 2025 MJH Life Sciences

All rights reserved.