SynthRAD2023 Grand Challenge dataset: Generating synthetic CT for radiotherapy.

Adrian Thummerer Erik van der Bijl Arthur Villanueva Galapon Joost J C Verhoeff Johannes A Langendijk Stefan Both Cornelis Nico A T van den Berg Matteo Maspero

Published in: Medical physics (2023)

This dataset will enable the evaluation and development of image synthesis algorithms for radiotherapy purposes on a realistic multi-center dataset with varying acquisition protocols. Synthetic CT generation has numerous applications in radiation therapy, including diagnosis, treatment planning, treatment monitoring, and surgical planning.

Keyphrases

radiation therapy
locally advanced
early stage
image quality
radiation induced
dual energy
computed tomography
contrast enhanced
deep learning
machine learning
positron emission tomography
rectal cancer
magnetic resonance