The PET/CT scanner allows simultaneous whole-body imaging from top of the head to thigh.
Siemens Healthineers announced Monday it has received U.S. Food & Drug Administration clearance for its Biograph Vision Quadra, a PET/CT scanner intended for both clinical use and translational research.
“The Biograph Vision Quadra breaks through current clinical scanner limitations by simultaneously imaging all vital organs in a single field of view,” said John Khoury, head of molecular imaging business at Siemens Healthineers North America. “This new system helps open the door to better understand disease.”
Biograph Vision Quadra
Credit: Siemens Healthineers
The Biograph Vision Quadra offers the same 3.2-mm silicon photomultiplier (SiPM) detector technology and Time of Flight performance that are available on the Biograph Vision PET/CT scanner, but according to company details, the Biograph Vision Quadra has an extended 106-cm axial field-of-view (FoV) – a PET axial FoV that is four times greater than the Biograph Vision 600.
With this scanner, the company said, clinicians can image the average patient, head-to-thigh, in one position, enabling fast, low-dose scanning, as well as examine patient anatomy during radiopharmaceutical uptake over time.
Biograph Vision Quadra can be sited in the same clinical space as traditional PET/CT scanners, so there is no need to construct additional room, and because of its applicability in translational medicine, said company officials, the scanner will play a role in furthering precision medicine.
For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-Newsletter here.
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.
Mammography Study Compares False Positives Between AI and Radiologists in DBT Screening
May 8th 2025For DBT breast cancer screening, 47 percent of radiologist-only flagged false positives involved mass presentations whereas 40 percent of AI-only flagged false positive cases involved benign calcifications, according to research presented at the recent American Roentgen Ray Society (ARRS) conference.