ESTRO 2022 - Abstract Book

S671

Abstract book

ESTRO 2022

Results All DL models produced accurate whole heart delineations (median DSC>0.931, MDA<2.06 mm, HD<12.6 mm); both 3D models provided the lowest failure rate (0/30 vs. 2/30 for 2D model) and the low-res. model had a faster execution speed. The ensemble model did not improve accuracy. Substructure segmentation accuracy was close to IOV [Fig. 2]. Geometric definitions for small structures improved consistency compared with our previous atlas-only method and provided anatomically realistic delineations of cardiac valves and coronary arteries.

Fig. 2

Conclusion The hybrid method leverages the benefits of DL, atlas-based techniques, and geometric definitions to delineate cardiac substructures on CT imaging. Current work has validated the accuracy of dose metrics obtained using automatic segmentation on an independent dataset * . Our implementation provides a reliable and accessible model and will be used in future data-mining studies.