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Image of an icon representing a radiologist using AlgoMedica deep learning reconstruction technology.

Radiologists

Radiologists are overloaded with the workload of reading CT scans. This workload is expected to increase exponentially as CT scans for preventive screening become a part of annual physical check up. Radiologists are passionate about reading CT scan efficiently and accurately while being careful about not exposing the patients to excessive radiation dose. Radiologists are not looking for very pretty scan but CT scan of diagnosable quality. FDA has been recommending that medical imaging facilities should acquire CT scans using As Low A Radiation As Achievable (ALARA).

Any medical imaging center may have a mix of new and older CT scanners. Older scanners can generate good quality CT scans using Filter Back Projection (FBP). But this requires using a high radiation dose for acquiring CT scans. New scanners, offered by major vendors use Iterative Reconstruction (IR) software to provide diagmisabe quality. However - IR based denoising software creates blurry, waxy scans if the image is very noisy due to more than 30% dose reduction.

Our software, PixelShine can denoise very noisy CT scans (acquired using substantially low radiation dose) and provide clean images to be read by Radiologists without any waxy and blurry effects. It has the potential to reduce reading time, increase diagnostic accuracy while offering patient safe CT scans. The use cases for such capabilities are - Ultra Low dose lung cancer screening, Pedatric CT scans, denoising Obese patient CT scans.