What if you could improve the quality and efficiency of your existing CTs 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.
Poor image quality, extended scan times, dose exposure, and technological limitations that inhibit advanced procedures like cardiac and stroke imaging are just some of the key drivers behind many CT modality replacement initiatives. AHRA suggests that CT scanners should be replaced every 8 years, however, such projects can cut deeply into the capital budgets of healthcare organizations, ranging anywhere from $100k to $1M in cost. Unfortunately, the reality is that the negative financial impact caused by Covid-19, along with decreasing reimbursements, and continued pressure to reduce capital budgets keep such projects out of reach for many healthcare organizations.
But what if you could improve the quality and efficiency of all CT imaging without incurring the high capital cost associated with purchasing a new scanner? In this blog, we will discuss how DLR can be universally applied across CT scanners, protocols, and physical anatomies to improve image quality and optimize workflow –allowing the organization to realize greater value from existing equipment, and defer costly and disruptive replacement projects.
Quality, patient care and safety are top-of-mind concerns for every healthcare provider. Unfortunately, older CT scanners typically require higher dose exposure to generate quality images and don’t support newer imaging techniques that can enable earlier disease detection.
Previously, the only way to overcome these challenges was to invest in a new scanner. Now, with its Artificial Intelligence (AI) based DLR technology, PixelShine®from AlgoMedica can automatically reduce the ‘noise’ associated with all images, particularly low-dose procedures, to produce images with high contrast and fine detail.
By leveraging PixelShine to modernize your older scanners you can defer capital replacement projects.
Replacing a CT scanner requires a significant financial investment including not only the capital cost of equipment or the financing cost of a lease, but also costs associated with room renovations, temporary mobile CT scanner rentals, and higher monthly service contract costs. Not to mention the lost revenue due to service disruptions, and the cost of technologist training. Combine that with steadily decreasing reimbursements, reduced capacity due to the COVID impact, and reduced capital budgets, and the result is that many organizations simply cannot replace their oldest scanners. Fortunately, by leveraging a software-based AI solution like PixelShine you can leverage existing operational budgets to immediately address image quality, dose, and workflow challenges without waiting until capital funding becomes available for full CT replacement. In doing so, you can get more value out of your current equipment now!
Until now, good quality images at patient safe radiation, required a costly capital equipment replacement –which is not always practical or feasible for busy, budget-constrained imaging organizations. A vendor-agnostic solution, PixelShine by AlgoMedica, is a DLR platform that works with any CT scanner, and can cost-effectively extend the life of older and refurbished models to achieve the high quality images.
Still have questions? We've got answers. Contact us for a PixelShine demonstration.