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Higher Gradient Whole-Body MRI Scanner Gets FDA Nod
At an amplitude of 200 mT/m and a slew rate of 200 T/m/s, the gradients for the FDA-cleared MAGNETOM Cima.X are reportedly the strongest for currently available whole-body MRI scanners.
Offering a robust gradient system and a variety of workflow enhancements, the MAGNETOM Cima.X 3T whole-body magnetic resonance imaging (MRI) scanner has garnered 510(k) clearance from the Food and Drug Administration (FDA).
Siemens Healthineers, the manufacturer of the MAGNETOM Cima.X system, said the device features Gemini Gradients that have an amplitude of 200 millitesla per meter (mT/m) and a slew rate of 200 telsa per meter per second (T/m/s).
For imaging of patients with neurodegenerative diseases, the industry-leading gradient strength enhances the visibility of microstructures in the brain, according to Siemens Healthineers. The company noted that the MAGNETOM Cima.X system also features the artificial intelligence (AI)-powered Deep Resolve reconstruction technology, which can accelerate MRI brain scans by 70 percent.
The newly FDA-cleared, whole-body MAGNETOM Cima.X MRI system offers enhanced gradient strength that may facilitate improved visualization of brain microstructures as well as artificial intelligence (AI)-powered reconstruction technology that can accelerate MRI brain scans by 70 percent, according to Siemens Healthineers, the manufacturer of the system.
Another benefit of the whole-body MRI modality, according to Siemens Healthineers, is the capability to provide time-stamped physiological data through the system’s Physiologging feature, which enables clinicians to ascertain whether respiratory activity is compromising brain activity.
“With the FDA clearance of the MAGNETOM Cima.X, Siemens Healthineers proudly offers the scientific and medical communities a whole-body 3T MR scanner that can deliver penetrating new insights into oncologic, cardiac, and neurodegenerative disease,” noted Katie Grant, the vice president of magnetic resonance at Siemens Healthineers North America.
Mammography Study Suggests DBT-Based AI May Help Reduce Disparities with Breast Cancer Screening
December 13th 2024New research suggests that AI-powered assessment of digital breast tomosynthesis (DBT) for short-term breast cancer risk may help address racial disparities with detection and shortcomings of traditional mammography in women with dense breasts.
