Radiology IT

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Radiology IT

Product catalog summary

Challenges:

Acquire high-quality images consistently while minimizing radiation dose.
Standardize and simplify dose management and image quality.

Solution:

PixelShine® by AlgoMedica addresses the limitations of standard image reconstruction techniques. It integrates seamlessly into existing clinical workflows and uses machine learning to enhance image quality regardless of radiation dose. PixelShine is compatible with any scanner, whether new, old, or refurbished.

Benefits:

Fully automated process.
Incorporates enterprise data and access controls.
Ensures standards-based interoperability between modality, PACS, and EMR.

Key Features:

Trained with machine learning.
Fast and automated installation.
Supports up to three scanners per instance.
No user interaction required.

Minimum Hardware Specifications:

Processor: Intel Quad Core i7
RAM: 16 GB
Storage: 256GB SSD
Network Adapter: Gigabit Ethernet
Network Interface Controller: Intel I217, I218, I219
One USB port

Minimum Virtual Machine Specifications:

VMware ESXi/ESX 5.5
vCenter 5.5
VMWare Workstation 10.x
VMWare Fusion 6.x

Conclusion:

PixelShine maximizes CT image quality while minimizing radiation dose, ensuring that low dose does not equate to low quality.

Catalog excerpts

MAXIMIZE CT IMAGE QUALITY MINIMIZE RADIATION DOSE Fully automated Incorporates enterprise data and access controls Standards based interoperability between modality, PACS and EMR Acquire the best images every time, at the lowest possible dose Standardize and simplify dose management and image quality SOLUTION: PixelShine® from AlgoMedica PixelShine overcomes the limitations of standard image reconstruction techniques and integrates seamlessly into existing clinical workflow. It leverages machine learning to improve the quality of any exam, regardless of radiation dose. And PixelShine is vendor agnostic, so we benefit any scanner; new, old or refu

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Low Dose Should Not Mean Low Quality! De-noised Images PACS, VNA or EMR MINIMUM HARDWARE SPECIFICATIONS Processor: Intel Quad Core i7 Machine learning trained Quickly and remotely installed One instance supports three scanners No user interaction required Storage: 256GB SSD Network Adapter: Gigabit Ethernet Network Interface Controller: Intel I217, I218, I219 One USB port MINIMUM VIRTUAL MACHINE SPECIFICATIONS VMware ESXi/ESX 5.5 vCenter 5.5 VMWare Workstation 10.x VMWare Fusion 6.x ©2020 AlgoMedica, Inc. 440 North Wolfe Road | Sunnyvale, CA 94085 All Rights Reserved info@algom

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PixelShine
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