Customizable landmark-based field aperture design for automated whole-brain radiotherapy treatment planning.

ABSTRACT:

Purpose

To develop and evaluate an automated whole-brain radiotherapy (WBRT) treatment planning pipeline with a deep learning-based auto-contouring and customizable landmark-based field aperture design.

Methods

The pipeline consisted of the following steps: (1) Auto-contour normal structures on computed tomography scans and digitally reconstructed radiographs using deep learning techniques, (2) locate the landmark structures using the beam's-eye-view, (3) generate field apertures based on eight different landmark rules addressing different clinical purposes and physician preferences. Two parallel approaches for generating field apertures were developed for quality control. The performance of the generated field shapes and dose distributions were compared with the original cl

SUBMITTER: Xiao Y 

PROVIDER: S-EPMC10018662 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature