Unknown

Dataset Information

3D printing of anatomically realistic phantoms with detection tasks to assess the diagnostic performance of CT images.


ABSTRACT:

Objectives

Detectability experiments performed to assess the diagnostic performance of computed tomography (CT) images should represent the clinical situation realistically. The purpose was to develop anatomically realistic phantoms with low-contrast lesions for detectability experiments.

Methods

Low-contrast lesions were digitally inserted into a neck CT image of a patient. The original and the manipulated CT images were used to create five phantoms: four phantoms with lesions of 10, 20, 30, and 40 HU contrast and one phantom without any lesion. Radiopaque 3D printing with potassium-iodide-doped ink (600 mg/mL) was used. The phantoms were scanned with different CT settings. Lesion contrast was analyzed using HU measurement. A 2-alternative forced choice experiment was perfo

SUBMITTER: Ardila Pardo GL 

PROVIDER: S-EPMC7338819 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature