Pediatric chest-abdomen-pelvis and abdomen-pelvis CT images with expert organ contours.

ABSTRACT:

Purpose

Organ autosegmentation efforts to date have largely been focused on adult populations, due to limited availability of pediatric training data. Pediatric patients may present additional challenges for organ segmentation. This paper describes a dataset of 359 pediatric chest-abdomen-pelvis and abdomen-pelvis Computed Tomography (CT) images with expert contours of up to 29 anatomical organ structures to aid in the evaluation and development of autosegmentation algorithms for pediatric CT imaging.

Acquisition and validation methods

The dataset collection consists of axial CT images in Digital Imaging and Communications in Medicine (DICOM) format of 180 male and 179 female pediatric chest-abdomen-pelvis or abdomen-pelvis exams acquired from one of three CT scanners at Chi

SUBMITTER: Jordan P 

PROVIDER: S-EPMC9090951 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature