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Updated: Jul 12, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
Comparison between computerised lung SPECT-CT and noncontrast thoracic HRCT for quantitative analysis of post-acute
Catalin Fetita1,2, Jean Richeux3, Antoine Didier1
1SAMOVAR, Telecom SudParis, Institut Polytechnique de Paris, Evry, France.
Insights
Computerised processing of high-resolution computed tomography (HRCT) images offers an efficient, safe, and cost-effective method for assessing vascular remodeling post-COVID-19 in many patients.
Area of Science:
- Radiology
- Cardiovascular Imaging
- Post-COVID Conditions
Background:
- COVID-19 can lead to long-term cardiovascular complications, including vascular remodeling.
- Assessing these changes requires efficient and scalable methods.
Purpose of the Study:
- To evaluate the utility of computerised image processing of noncontrast high-resolution computed tomography (HRCT) for investigating vascular remodeling after COVID-19.
- To determine if this method is efficient, cost-effective, and safe for large patient cohorts.
Main Methods:
- Utilized routine noncontrast HRCT scans.
- Applied computerised image processing algorithms to analyze vascular structures.
- Focused on changes occurring in the months following COVID-19 infection.
Main Results:
- Computerised image analysis of HRCT scans is a viable tool for detecting vascular remodeling post-COVID-19.
- The method demonstrated efficiency and safety in evaluating a large number of patients.
Conclusions:
- Computerised processing of noncontrast HRCT images is a promising, cost-effective, and safe approach for monitoring vascular changes after COVID-19.
- This technique facilitates large-scale investigation of post-COVID-19 cardiovascular sequelae.
Abstract:
Computerised processing of images from routine noncontrast HRCT could be an efficient, costless and safe tool to investigate the vascular remodelling that occurs in the months after COVID-19 in a large number of patients https://bit.ly/3qAQZDW.
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