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PixelShine
PixelShine
PixelShine
PixelShine
PixelShine
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Key Features

  • Noise reduction of low dose CT

General Information

Product name

PixelShine

Company

Subspeciality

Abdomen, Cardiac, Chest, MSK, Neuro, Vascular

Modality

CT

Disease targeted

Not specified

Main task

Not specified

Technical Specifications

Population

Pediatric CT, Neuro, Thoracic, MSK, Cardiac (Dx and Structural)

Patient population age

Not specified

Input

Low-dose CT

Input format

DICOM

Output

Enhanced CT

Output format

DICOM

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone third party application

Deployment

Hybrid solution, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, Etc., Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click

Processing time

Varies according to study size

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class IIa

Verified by Health AI Register
FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

05-2019

AI Platforms

Not specified

Resellers

Not specified

Countries present

12

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

One-off payment, Pay-per-use, Subscription

Based on

Number of analyses, Number of installations, Number of licensed CT scanners

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Impact of Deep Learning-Based Image Reconstruction on Tumor Visibility and Diagnostic Confidence in Computed Tomography

Peer-Reviewed

View

Assessment of image quality and impact of deep learning-based software in non-contrast head CT scans

Peer-Reviewed

View

Impact of AI-Based Post-Processing on Image Quality of Non-Contrast Computed Tomography of the Chest and Abdomen

Source: vendor | First published: May 2, 2024 | Last updated: Jul 9, 2025