Could a la carte pricing be a consideration in improving revenue for radiologists in private practice?
|Articles|November 21, 2001
TeraRecon plans to demo conebeam CT server
Building on its core Xtrillion array processor, TeraRecon has created a server that promises to make volumetric CT a practical reality for multidetector CT scanners. This Cone Beam Reconstruction server, which will be showcased at the RSNA meeting,
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Building on its core Xtrillion array processor, TeraRecon has created a server that promises to make volumetric CT a practical reality for multidetector CT scanners. This Cone Beam Reconstruction server, which will be showcased at the RSNA meeting, employs an array of up to 32 Xtrillion processors working in parallel on a standard PC host. The server can construct volumetric images from data generated on the fly by multidetector CT scanners, according to the company. If adopted and successfully integrated by CT vendors, it could pave the way for a transition from slice-based images to volumetric models.
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Catch up on a variety of FDA news in radiology from the past week.
Catch up on the top radiology content of the past week.
Reportedly one of the first FDA-cleared chest X-ray AI software platforms derived from a foundation model, the Chest Xray software facilitates detection and localization of lung nodules, pneumothorax, mediastinal abnormalities and other thoracic abnormalities.
Incorporating structural MRI to improve PET imaging resolution, the MICSI-PET software also offers automated Centiloid quantification from amyloid PET scans.
Emerging research demonstrates the increasing stability of attenuation on clinically relevant VMIs with photon-counting CT and a redefined role of kV that may have implications for longitudinal quantitative CT.
For patients with intermediate-risk prostate cancer, those with lower apparent diffusion coefficient (ADC) values on pre-treatment DWI MRI had a fourfold higher prevalence of distant metastasis in a study with a 10.3-year median follow-up.
In the second of a two-part podcast episode, Lauren Nicola, MD, Christoph Wald, MD, PhD, MBA, and Peter Shen discuss challenges with evaluating value and ROI for AI software, the physician time required to do so, and possible solutions to facilitate improved clarity and consistency with AI reimbursement.
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