PixelShine

AlgoMedica

PixelShine is an algorithm for de-noising CT datasets supporting new CT protocols to drive patient dose down, while image quality is maintained. PixelShine may aid detectability of subtle pathologies which are borderline visible. The applications apply to CT without limit whether Filtered Back projection (FBP) and Iterative Reconstruction (IR).

Product specifications

Information source: Vendor
Last updated: June 11, 2021

General
Product name	PixelShine
Company	AlgoMedica
Subspeciality	Neuro, Cardiac, MSK, Chest, Abdomen, Vascular Analysis
Modality	CT
Disease targeted
Key-features	Noise reduction of low dose CT
Suggested use	Before: stratifying reading process (non, single, double read) During: perception aid (prompting all abnormalities/results/heatmaps)
Data characteristics
Population	Pediatric CT, Neuro, Thoracic, MSK, Cardiac (Dx and Structural)
Input	Low-dose CT
Input format	DICOM
Output	Enhanced CT
Output format	DICOM
Technology
Integration	Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone third party application
Deployment	Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Hybrid solution
Trigger for analysis	Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time	Varies according to study size
Certification
CE	Certified, Class IIa , MDD
FDA	510(k) cleared, Class II
Market presence
On market since	05-2019
Distribution channels
Countries present (clinical, non-research use)	12
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model	Pay-per-use, Subscription, One-off payment
Based on	Number of installations, Number of analyses, Number of licensed CT scanners
Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers