- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Philips' Brilliance iCT boosts quality with new technology
Volume-rendered image processed from data acquired using the Philips 256-slice Brilliance iCT scanner at WellStar Kennestone Hospital in Marietta, GA, shows right iliac artery stenosis and multiple calcifications on left iliac artery. Bony landmarks are ghosted in background, the result of a new visualization technique introduced by Philips to assist in planning interventions. The Marietta installation boosts the number of Philips 256-slice CTs to nine. These sites, located at medical facilities around the world, have scanned more than 6000 patients, according to Philips Healthcare. With rotational speeds up to 0.27 seconds and a detector that spans 8 cm, the iCT supports applications in trauma, cardiac, interventional, pediatric, vascular, and bariatrics, as well as general imaging. Slotted anode and dual-support spiral groove bearing built into the scanner's x-ray tube enable 120- kW imaging and focal spot integrity at high rotational speeds. 'Smart' focal spot simultaneously deflects x-ray beam in x- and z-axes to acquire double the data during each rotation. (Provided by Philips)
Study Reaffirms Low Risk for csPCa with Biopsy Omission After Negative Prostate MRI
December 19th 2024In a new study involving nearly 600 biopsy-naïve men, researchers found that only 4 percent of those with negative prostate MRI had clinically significant prostate cancer after three years of active monitoring.
Study Examines Impact of Deep Learning on Fast MRI Protocols for Knee Pain
December 17th 2024Ten-minute and five-minute knee MRI exams with compressed sequences facilitated by deep learning offered nearly equivalent sensitivity and specificity as an 18-minute conventional MRI knee exam, according to research presented recently at the RSNA conference.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.
