Three-dimensional printing of patient-specific computed tomography lung phantoms: a reader study.

ABSTRACT: In modern clinical decision-support algorithms, heterogeneity in image characteristics due to variations in imaging systems and protocols hinders the development of reproducible quantitative measures including for feature extraction pipelines. With the help of a reader study, we investigate the ability to provide consistent ground-truth targets by using patient-specific 3D-printed lung phantoms. PixelPrint was developed for 3D-printing lifelike computed tomography (CT) lung phantoms by directly translating clinical images into printer instructions that control density on a voxel-by-voxel basis. Data sets of three COVID-19 patients served as input for 3D-printing lung phantoms. Five radiologists rated patient and phantom images for imaging characteristics and diagnostic confidence in a blin

SUBMITTER: Shapira N 

PROVIDER: S-EPMC9992761 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature