GE Healthcare Launches Omni Legend PET/CT System at EANM Congress
The inclusion of digital bismuth germanate (BGO) detector material with the Omni Legend system reportedly more than doubles the sensitivity of older PET/CT devices, improves scan times, and enhances the detection of small lesions.
Emphasizing enhanced diagnostic capabilities, improved efficiency and artificial intelligence (AI)-enabled features, GE Healthcare introduced the Omni Legend positron emission tomography/computed tomography (PET/CT) platform at the 35th Annual Congress of the European Association of Nuclear Medicine (EANM) in Barcelona, Spain.
GE Healthcare said a key feature of the Omni Legend system is the enhanced sensitivity with the small crystal size of the digital bismuth germanate (BGO) detector. The PET/CT platform reportedly bolsters image quality with Precision DL, a deep neural network that facilitates improved qualitative accuracy and contrast-to-noise ratio.
“Sensitivity and image quality are everything in PET/CT. Omni Legend delivers on both — meeting all our image quality criteria for oncology and providing impressive sensitivity to image high-count tracers for cardiac and neuroimaging, which helps better inform patient diagnoses and monitoring,” noted John Kennedy, Ph.D., a chief physicist in the Nuclear Medicine Department at the Rambam Health Care Campus in northern Israel.
Dr. Kennedy said the Omni Legend PET/CT system enabled his facility to reduce dosing by 40 percent in comparison to previous PET/CT devices and perform up to 35 patient scans in a 9.5-hour shift.
The Omni Legend system also allows hands-free patient positioning with the AI-powered Auto Positioning feature, according to GE Healthcare.
Photon-Counting Computed Tomography: Eleven Takeaways from a New Literature Review
May 27th 2025In a review of 155 studies, researchers examined the capabilities of photon-counting computed tomography (PCCT) for enhanced accuracy, tissue characterization, artifact reduction and reduced radiation dosing across thoracic, abdominal, and cardiothoracic imaging applications.
Can AI Predict Future Lung Cancer Risk from a Single CT Scan?
May 19th 2025In never-smokers, deep learning assessment of single baseline low-dose computed tomography (CT) scans demonstrated a 79 percent AUC for predicting lung cancer up to six years later, according to new research presented today at the American Thoracic Society (ATS) 2025 International Conference.
Can Emerging AI Software Offer Detection of CAD on CCTA on Par with Radiologists?
May 14th 2025In a study involving over 1,000 patients who had coronary computed tomography angiography (CCTA) exams, AI software demonstrated a 90 percent AUC for assessments of cases > CAD-RADS 3 and 4A and had a 98 percent NPV for obstructive coronary artery disease.
