- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
FDA Clears New 128-Slice CT System from Fujifilm
Proprietary technologies with the FCT iStream computed tomography system reportedly facilitate enhanced workflow efficiency and significantly reduced radiation dosing.
Offering the capability to capture 60 images per second and technology that may reduce radiation dosing by up to 83 percent, the FCT iStream computed tomography (CT) system has garnered 510(k) clearance from the Food and Drug Administration (FDA).
Core proprietary technologies with the FCT iStream system significantly rein in radiation dosing, according to Fujifilm, the manufacturer of the device.
Based on patient attenuation, the IntelliODM feature adjusts dosage as per angular and/or CT slice directions. Through a combination of iterative progressive reconstruction and visual modeling (IPV), Fujifilm emphasized that Intelli IPV may provide up to an 83 percent reduction in radiation dosing and up to a 90 percent noise reduction.
Through a combination of iterative progressive reconstruction and visual modeling (IPV), Fujifilm emphasized that the Intelli IPV feature in the newly FDA-cleared FCT iStream system (shown above) may provide up to an 83 percent reduction in radiation dosing and up to a 90 percent noise reduction. (Image courtesy of Fujifilm.)
In addition to obtaining 60 images per second, the FCT iStream’s SynergyDrive technology promotes increased workflow efficiency through automated patient positioning with optimal imaging parameters as well as image archiving.
“Staff shortages, increased financial pressure and escalating patient demand are driving radiology departments to look for ways to streamline workflow, avoid repeat scans and ensure they are maximizing throughput,” said Shawn Etheridge, executive director, of modality solutions for FUJIFILM Healthcare Americas Corporation. “We’ve designed FCT iStream to reduce the pain points these high-volume departments face by engineering an intelligent, reliable, imaging solution that will help automate clinician’s most time-consuming steps.”
New Study Examines Short-Term Consistency of Large Language Models in Radiology
November 22nd 2024While GPT-4 demonstrated higher overall accuracy than other large language models in answering ACR Diagnostic in Training Exam multiple-choice questions, researchers noted an eight percent decrease in GPT-4’s accuracy rate from the first month to the third month of the study.
New Study Examines Agreement Between Radiologists and Referring Clinicians on Follow-Up Imaging
November 18th 2024Agreement on follow-up imaging was 41 percent more likely with recommendations by thoracic radiologists and 36 percent less likely on recommendations for follow-up nuclear imaging, according to new research.
