ORCID
- Elsa F. Fouragnan: 0000-0003-1485-0332
Abstract
We present a novel toolbox to generate computed tomography (CT) images from anatomical T1-weighted magnetic resonance (MR) images for use in planning transcranial ultrasound stimulation (TUS) studies in humans (https://github.com/sitiny/mr-topct). Our validated open-source toolbox is aimed at researchers interested in generating bespoke skull models for use in acoustic simulations in TUS studies. Importantly, researchers planning TUS studies will most likely already have access to standard T1-weighted MR images for neuronavigation, making our toolbox compatible with many existing protocols for TUS studies
DOI Link
Publication Date
2023-01-17
Publication Title
Brain Stimulation
Volume
16
Issue
1
ISSN
1935-861X
Acceptance Date
2023-01-14
Deposit Date
2023-02-13
Embargo Period
2023-02-14
Funding
E.F. and S.N.Y. are supported by the UKRI/MRC grant MR/T023007/1. This work was supported by the UK Department of Health via the NIHR Comprehensive Biomedical Research Centre Award (COV-LT-0009) to Guy's and St Thomas' NHS Foundation Trust (in partnership with King's College London and King's College Hospital NHS Foundation Trust), and by the Wellcome Engineering and Physical Sciences Research Council Centre for Medical Engineering at King's College London (WT 203148/Z/16/Z). CERMEP-IDB-MRXFDG Database (© Copyright CERMEP – Imagerie du vivant, www.cermep.fr and Hospices Civils de Lyon. All rights reserved.) provided jointly by CERMEP and Hospices Civils de Lyon (HCL) under free academic end user licence agreement.
Keywords
Non-invasive brain stimulation, Acoustic simulation, Multi-element transducer, Deep learning, Image synthesis, U-Net
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.
First Page
75
Last Page
78
Recommended Citation
Yaakub, S., White, T., Kerfoot, E., Verhagen, L., Hammers, A., & Fouragnan, E. (2023) 'Pseudo-CTs from T1-weighted MRI for planning of low-intensity transcranial focused ultrasound neuromodulation: An open-source tool', Brain Stimulation, 16(1), pp. 75-78. Available at: 10.1016/j.brs.2023.01.838
