Semi-automated micro-computed tomography lung segmentation and analysis in mouse models.

ABSTRACT: Computed Tomography (CT) is a standard clinical tool utilized to diagnose known lung pathologies based on established grading methods. However, for preclinical trials and toxicity investigations in animal models, more comprehensive datasets are typically needed to determine discriminative features between experimental treatments, which oftentimes require analysis of multiple images and their associated differential quantification using manual segmentation methods. Furthermore, for manual segmentation of image data, three or more readers is the gold standard of analysis, but this requirement can be time-consuming and inefficient, depending on variability due to reader bias. In previous papers, microCT image manual segmentation was a valuable tool for assessment of lung pathology in several

SUBMITTER: Luisi JD 

PROVIDER: S-EPMC10154963 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature