Vendor source

Reviewed 11 May 2026

Completeness Strong (78%)

Lung Texture Analysis

Imbio

Lung Texture Analysis ™ from Imbio automatically applies computer vision to transform a standard chest CT into a map of the lung textures to identify ILD's and other fibrotic conditions (normal, ground glass, reticular, honeycomb and hyperlucent). LTA's DICOM image series provides a texture overlay on the patient scan to highlight abnormalities and increase diagnostic confidence. LTA's physician summary report provides quantification of the textures by lung region.

Supported by 2 papers

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Key Features

  • Fibrotic condition identification
  • Percentage of lung affected
  • Report generation
  • Volume quantification

General Information

Product name

Lung Texture Analysis

Company

Modality

CT

Main task

Not specified

Subspeciality

Chest

Disease targeted

Interstitial lung diseases (ILD), fibrosis, usual interstitial pneumonia (UIP)

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Technical Specifications

Patient population age

Not specified

Input

Low dose or HRCT

Input format

DICOM

Output

Report in PDF or DICOM, overlays, lobe segmentation overlay

Output format

DICOM, HL7, PDF

Integration

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

Deployment

Cloud-based, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload

Processing time

1 - 10 minutes

Population

All chest CT's, lung cancer screening population, COPD, emphysema, ILD, Covid-19

Market Presence

On market since

2015

AI Platforms

Aidoc, Blackford Analysis, Nuance, Philips Healthcare, Siemens Healthineers, Terarecon, TeraRecon, Wellbeing Software

Resellers

Not specified

Countries present

>10

Paying clinical customers

>20

Research/test users

>20

Pricing Information

Pricing model

Subscription

Based on

Number of analyses, Number of installations

Source: Vendor | First published: Feb 25, 2024 | Last updated: May 11, 2026