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15 February 2021 Development and characterization of a chest CT atlas
Kaiwen Xu, Riqiang Gao, Mirza Khan, Shunxing Bao, Yucheng Tang, Steve Deppen, Yuankai Huo, Kim Sandler, Pierre Massion, Mattias Heinrich, Bennett Landman
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Proceedings Volume 11596, Medical Imaging 2021: Image Processing; 115961G (2021) https://doi.org/10.1117/12.2580800
Event: SPIE Medical Imaging, 2021, Online Only
Abstract
A major goal of lung cancer screening is to identify individuals with particular phenotypes that are associated with high risk of cancer. Identifying relevant phenotypes is complicated by the variation in body position and body composition. In the brain, standardized coordinate systems (e.g., atlases) have enabled separate consideration of local features from gross / global structure. To date, no analogous standard atlas has been presented to enable spatial mapping and harmonization in chest computational tomography (CT). In this paper, we propose a thoracic atlas built upon a large low dose CT database with no screening detected malignancy (age 46-79 years, mean 64.9 years). The application validity of the developed atlas is evaluated in terms of discriminative capability for different anatomic phenotypes, including body mass index (BMI), chronic obstructive pulmonary disease (COPD), and coronary artery calcification (CAC).
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Kaiwen Xu, Riqiang Gao, Mirza Khan, Shunxing Bao, Yucheng Tang, Steve Deppen, Yuankai Huo, Kim Sandler, Pierre Massion, Mattias Heinrich, and Bennett Landman "Development and characterization of a chest CT atlas", Proc. SPIE 11596, Medical Imaging 2021: Image Processing, 115961G (15 February 2021); https://doi.org/10.1117/12.2580800
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KEYWORDS
Chest
Lung cancer
Chronic obstructive pulmonary disease
Computed tomography
Brain-machine interfaces
Cancer
Databases
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