Register Now: Image-Based Risk: The Next Frontier in Breast Cancer Screening
|Articles|December 1, 2003

Portable MR system aids diagnosis of rheumatic diseases

GE Medical Systems Lunar introduced the Applause, a portable MR device, at the RSNA meeting. The system is optimized for diagnosing early signs of joint erosion due to rheumatoid arthritis and other forms of autoimmune rheumatoid diseases.

GE Medical Systems Lunar introduced the Applause, a portable MR device, at the RSNA meeting. The system is optimized for diagnosing early signs of joint erosion due to rheumatoid arthritis and other forms of autoimmune rheumatoid diseases.

Images obtained with the Applause may also be used to determine the severity of disease and to monitor its progression and treatment. The system's easy portability allows transport among rooms in private-practice offices, hospitals, or clinics.

The scanner, developed by MagneVu in Carlsbad, CA, is being distributed under agreement with GE. It was first unveiled in October at the annual meeting of the American College of Rheumatology.

The Applause uses a nonhomogeneous magnetic field to image the hand, wrist, and foot. MR promises earlier detection of arthritis, potentially leading to more effective treatment of the disease, according to MagneVu. The compact, portable magnet can be rolled into any exam room. It requires no special office setup or shielding and can be plugged into a wall outlet. The unit obtains and displays images in all three planes of view and provides scans that are similar in clarity to conventional MR images, according to GE.

Related to this article

See the Real-World Impact of AI in Radiology
AI has to do more than show potential. It has to deliver measurable results.The Rad AI Outcomes and Market Impact Compendium brings together real-world clinical, operational and financial evidence from health systems, academic medical centers and radiology practices using Rad AI Reporting, Impressions and Continuity.Explore results including 60+ minutes saved per radiologist shift, a 47% reduction in report error rates, 70%+ patient follow-up adherence and >7x ROI — plus, case studies showing how organizations are translating AI into greater capacity, quality and financial performance.See what AI built specifically for radiology can deliver in practice.