Calibration phantom-based prediction of CT lung nodule volume measurement performance.

ABSTRACT:

Background

A calibration phantom-based method has been developed for predicting small lung nodule volume measurement bias and precision that is specific to a particular computed tomography (CT) scanner and acquisition protocol.

Methods

The approach involves CT scanning a simple reference object with a specific acquisition protocol, analyzing the scan to estimate the fundamental imaging properties of the CT acquisition system, generating numerous simulated images of a target geometry using the fundamental imaging properties, measuring the simulated images with a standard nodule volume segmentation algorithm, and calculating bias and precision performance statistics from the resulting volume measurements. We evaluated the ability of this approach to predict volume measurement

SUBMITTER: Avila RS 

PROVIDER: S-EPMC10498266 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature