Automatic segmentation of cardiac substructures from noncontrast CT images: accurate enough for dosimetric analysis?

ABSTRACT:

Purpose

We evaluated the feasibility of using an automatic segmentation tool to delineate cardiac substructures from noncontrast computed tomography (CT) images for cardiac dosimetry and toxicity analyses for patients with nonsmall cell lung cancer (NSCLC) after radiotherapy.

Material and methods

We used an in-house developed multi-atlas segmentation tool to delineate 11cardiac substructures, including the whole heart, four heart chambers, and six greater vessels, automatically from the averaged 4D-CT planning images of 49 patients with NSCLC. Two experienced radiation oncologists edited the auto-segmented contours. Times for automatic segmentation and modification were recorded. The modified contours were compared with the auto-segmented contours in terms of Dice similarity

SUBMITTER: Luo Y 

PROVIDER: S-EPMC6377299 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature