Iterative Reconstruction and Deep Learning Algorithms for Enabling Low Dose Computed Tomography in Midfacial Trauma
This is a pre-proof of a paper called “Iterative Reconstruction and Deep Learning Algorithms for Enabling Low Dose Computed Tomography in Midfacial Trauma” in Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology.
How AI can Enable Significantly Reduced Pediatric CT Dose Without Jeopardizing Image Quality
Pediatric radiology teams strive to do everything possible to minimize dose exposure to children during a CT exam. However, even when deploying the latest scanner technologies in combination with dose-optimized protocols there is a limit to the level that dose can be reduced before the images become too noisy. This becomes particularly challenging with very small children, pediatric cancer patients and children with high Body Mass Index (BMI).
Low Dose Lung Screening –Are You Truly Operating As Low As Reasonably Attainable (ALARA)?
Lung cancer screening using low-dose CT scans is the most effective form of imaging for identifying early-stage cancer. New AI powered image processing tools such as PixelShine® can consistently support imaging at dose levels as low as < 1mSv, which is 75% lower than the 3 mSv recommendations set forth by the ACR. This is achieved without sacrificing diagnostic image quality – creating a breakthrough for lung screening programs.
Extend the Life of your CT Scanner - Three Benefits of Using PixelShine
What if you could improve the quality and efficiency of your existing CT’s without incurring the high cost associated with purchasing a new scanner? Using Deep Learning Reconstruction (DLR) technology PixelShine can automatically enhance and harmonize the image quality of studies acquired by any CT scanner at the lowest possible dose – extending the life of older scanners and deferring costly and disruptive replacement projects. This is an exceptional opportunity as Covid-19 impacts the traditional revenue stream of any hospital.