Template Creation for High-Resolution Computed Tomography Scans of the Lung in R Software.

ABSTRACT:

Rationale and objectives

A standard lung template could improve population-level analyses for computed tomography (CT) scans of the lung. We develop a fully automated preprocessing pipeline for image analysis of the lungs using updated methodologies and R software that results in the creation of a standard lung template. We apply this pipeline to CT scans from a sarcoidosis population, exploring the influence of registration on radiomic analyses.

Materials and methods

Using 65 high-resolution CT scans from healthy adults, we create a standard lung template by segmenting the left and right lungs, nonlinearly registering lung masks to an initial template mask, and using an unbiased, iterative procedure to converge to a standard lung shape (Dice similarity coefficient ≥0.99). W

SUBMITTER: Ryan SM 

PROVIDER: S-EPMC7292778 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature