ESTRO meets Asia 2024 - Abstract Book

S317

Physics – Image acquisition and processing

ESTRO meets Asia 2024

2. Catarina Veiga et al., “Atlas construction and spatial normalisation to facilitate radiation-induced late effects research in childhood cancer”, 2021, Phys. Med. Biol., 66, 105005, doi: 10.1088/1361-6560/abf010

3. Lydia Wilson et al., “Image-based data mining applies to data collected from children”, 2022, Phys. Med., 99, 31-43, doi: 10.1016/j.ejmp.2022.05.003

4. Guha Balakrishnan et al., “VoxelMorph: A Learning Framework for Deformable Medical Image Registration”, 2019, IEEE Trans. Med. Im., 38 (8), 1788-1800, doi: 10.1109/TMI.2019.2897538

5. Brian Avants et al., “A reproducible evaluation of ANTs similarity metric performance in brain image registration”, 2011, NeuroImage, 54 (3), 2033-2044, doi: 10.1016/j.neuroimage.2010.09.025

6. Kristy Brock et al., “Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM radiation therapy committee task group no. 132”, Med. Phys., 2017, 44 (7), e43–e76., doi: 10. 1002/mp.12256

7. Torsten Rohling, “Image Similarity and Tissue Overlaps as Surrogates for Image Registration Accuracy: Widely Used but Unreliable”, 2012, IEEE Trans. Med. Im., 31 (2), 153-163, doi: 10.1109/TMI.2011.2163944