Statistical methodology for computed tomography scans of the lung
As computed tomography (CT) scans of the lung become more widely used for clinical research, methods that can meaningfully identify population-level features across lung images are needed. Approaches to characterize lung CT scans have traditionally relied on visual assessments, making it challenging to objectively identify quantitative patterns across scans. This dissertation advances quantitative image analysis for lung CT scans three-fold. First, we create the first publicly available standard lung template to enable spatial registrations between lung scans. Next, we develop a population-level ...
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