Par0058 - elastix

Subjects

Head-neck, lung and breast cancer patients acquired between 2016-2018.

Image data

The values are reported in RL, AP, FH directions.

CBCT

Acquired on Synergy Linac with XVI (v5.0.2b72 Elekta AB, Sweden)

Voxel size: 1x1x1 mm3
Vp = 100-120kV; ms = 10-40; mA = 10-25;
FOV = 27-41x27-41x13-79 cm3
Stored in gipl format

Acquired on Brilliance Big Bore (Philips Healthcare, Ohio, USA).

Voxel size = 0.6-1.37x0.6-1.37x1-3 mm3
kVp = 120kV; ms = 900-1800; mA = 31-271;
FOV = 29-70x29-70x23-180 cm3
Stored in gipl format

Application

For each subject, each CT was translated and resampled to CBCT to minimise set-up errors.

Registration Settings

For parameter files see the Elastix Model Zoo repository on GitHub.

elastix version: 4.700

Description:

The translation used to register CT to CBCT in all subjects

A fixed image mask was always used, given by the FOV of the CBCT, called Cylinder.gipl

Command line call:

elastix -f Fixed_CBCT.gipl -m Moving_CT.gipl -out ./  -mMask Cylinder.gipl -fMask Cylinder.gipl -p par0058trans.txt

Published in

Maspero M, Houweling AC, Savenije MH, van Heijst TC, Verhoeff JJ, Kotte AN, van den Berg CA. A single neural network for cone-beam computed tomography-based radiotherapy of head-and-neck, lung and breast cancer. Physics and Imaging in Radiation Oncology. 2020 Apr 1;14:24-31. doi:https://doi.org/10.1016/j.phro.2020.04.002;

Maspero M, Savenije MH, van Heijst TC, Verhoeff JJ, Kotte AN, Houweling AC, van den Berg CA. CBCT-to-CT synthesis with a single neural network for head-and-neck, lung and breast cancer adaptive radiotherapy. arXiv preprint arXiv:1912.11136. 2019 Dec 23. arXiv:https://arxiv.org/abs/1912.11136v1.