CT based computerized identification and analysis of human airways: a review
Jiantao Pu1, Suicheng Gu, Shusen Liu
1Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA. puj@upmc.edu
Medical Physics
|May 8, 2012
Summary
Automated analysis of human airways using computed tomography (CT) aids in understanding chronic airway diseases. Computerized methods for airway segmentation, labeling, and morphometry improve research and clinical applications like virtual bronchoscopy.
Area of Science:
- Medical Imaging
- Pulmonary Medicine
- Computational Anatomy
Background:
- Airway diseases are a leading cause of global morbidity and mortality.
- Noninvasive airway investigation is crucial for understanding disease mechanisms and evaluating treatments.
- Computed tomography (CT) offers high-resolution imaging but manual analysis is time-consuming and error-prone.
Purpose of the Study:
- To review primary methods for computerized analysis of human airways.
- To summarize computer-aided clinical applications of airway analysis.
- To discuss successes, limitations, and future directions in the field.
Main Methods:
- Review of existing literature on computerized airway analysis techniques.
- Focus on airway segmentation, airway labeling, and airway morphometry.
- Inclusion of computer-aided clinical applications such as virtual bronchoscopy.
Main Results:
- Various computerized techniques have been developed for human airway analysis.
- These methods enable automated or semi-automated assessment of airway morphology.
- Applications include enhanced visualization and analysis for clinical decision-making.
Conclusions:
- Computerized airway analysis is a vital research area in medical imaging.
- Automated methods offer potential to overcome limitations of manual analysis.
- Further work is needed to refine techniques and expand clinical utility.
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