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Updated: May 8, 2026

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

Development of quantitative computed tomography lung protocols.

John D Newell¹, Jered Sieren, Eric A Hoffman

¹Advanced Pulmonary Physiomics Imaging Laboratory, Department of Radiology, University of Iowa, Iowa City, IA 52242, USA. john-newell@uiowa.edu

Journal of Thoracic Imaging

|August 13, 2013

Summary

This summary is machine-generated.

Developing optimal quantitative lung CT (QCT) protocols is crucial for assessing lung diseases like COPD and asthma. This review covers QCT metrics, scanning protocols, quality control, and software for better diagnosis and therapy development.

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Area of Science:

Pulmonary Medicine
Radiology
Medical Imaging

Background:

Quantitative lung CT (QCT) enables objective assessment of lung diseases.
Standardized protocols are essential for reproducible and accurate QCT results.

Purpose of the Study:

To review the development of optimal computed tomography (CT) protocols for QCT.
To discuss key components of QCT, including metrics, protocols, quality control, and software.

Main Methods:

Review of current literature on QCT protocol optimization.
Discussion of QCT-derived metrics for emphysema, small and large airway disease.
Explanation of CT scanning protocols, quality control using phantoms, and image processing software.

Main Results:

CT scanning protocols are critical for successful QCT.
Quality control ensures precise CT numbers through phantom calibration.
Image processing software segments lungs and extracts disease metrics.

Conclusions:

Optimized QCT protocols are vital for assessing obstructive lung diseases like COPD and asthma.
Integrating QCT data with clinical, physiological, and genomic information enhances understanding and therapy design.