Offering a combination of simplified and personalized scanning for patients at significantly lower lifecycle costs than other dual-source CT systems, the Somatom Pro.Pulse may be a viable option for smaller rural facilities and outpatient imaging centers.
Emphasizing significantly less power consumption than other dual-source computed tomography (CT) devices, the newly launched Somatom Pro.Pulse system may facilitate increased access to this technology at smaller facilities.
Siemens Heathineers, the manufacturer of Somatom Pro.Pulse, said the system can be utilized at up to 20 percent less power consumption than previous iterations of dual-source CT. This increased energy efficiency and an improved cooling system have contributed to significantly reduced lifecycle costs for the Somatom Pro.Pulse, according to the company.
Other advantages with the system include myExam Companion, which facilitates optimal CT scan parameters based on patient data and other considerations, such as breath-hold capabilities and heart rate. Siemens Healthineers said the Somatom Pro.Pulse also features a FAST (fully assisting scanner technologies) 3D camera that allows automated patient positioning. The company added that the system’s use of tin filters preserves low radiation dosing while ensuring optimal image quality.
“With our new advanced dual source CT scanner, we aim to make this high-class technology available to more patients,” noted Philipp Fischer, the head of computed tomography at Siemens Healthineers. “CT exams performed on this system follow an intelligent and intuitive workflow appealing to various levels of experience. This enables standardization and reproducibility for clinicians and thus saves personnel capacities.”
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.