RSNA 2024: GE HealthCare Expands Effortless Recon DL Portfolio

GE HealthCare revealed three new advanced deep learning image processing and reconstruction solutions as part of its Effortless Recon DL portfolio at the Radiological Society of North America (RSNA) 2024 annual meeting.

“Blurry images can compromise clinicians’ ability to diagnose with confidence and speed,” said Roland Rott, President and CEO, Imaging, GE HealthCare. “At GE HealthCare, we’re ushering in a new era of image resolution with deep learning-powered imaging reconstruction. These AI-powered solutions not only enhance image quality but also streamline workflows, enabling radiologists to work more efficiently and cost-effectively. It also has the potential to provide patients’ more timely access to imaging and consequentially may enable earlier diagnosis and treatment. By leveraging AI and deep learning technologies, we remain committed to delivering advancements that help empower clinicians to make more confident diagnoses and improve outcomes for patients worldwide.”

Sonic DL for 3D

This deep learning innovation was designed to reduce MRI scan times by up to 86%. Following release of Sonic DL for cardiac imaging, the extension to 3D can offer better resolution for brain, spine, orthopedic, and body imaging with up to 12 times acceleration.

For neurology, Sonic DL for 3D enables high-resolution imaging of complex brain structures.

Clarify DL

This nuclear medicine solutions was designed to boost bone SPECT image quality for oncology. Clarify DL’s image resolution was rated as better in 98% of clinical exams in a clinical evaluation.

Designed for use with GE HealthCare’s StarGuide SPECT/CT system, Clarify DL delivers clear, accurate imaging—a contrast to noise reduction techniques that can lower noise at the expense of contrast and resolution.

TrueFidelity DL with the cardiac kernel

This tool enables detail at low doses, with improved visual sharpness. The AI-powered tool can be fully realized when used with the company’s Revolution Apex platform—which touts a 0.23 second rotation time for one-beat cardiac imaging—and ECG-less cardiac solution to acquire images without needing the patients’ ECG signal/trace.

Sonic DL for 3D, Clarify DL, and TrueFidelity DL each leverage a dedicated Deep Neural Network (DNN), which allows for image reconstruction that produces significantly improved images with better detail and quality. The solutions will now join the company’s extended Effortless Recon DL portfolio, which is bringing critical deep learning advancements.