Brigid A McDonald, PhD
Affiliations: | 2017- | Medical Physics | UT MD Anderson Cancer Center |
Area:
MRI, MR-guided radiotherapyGoogle:
"Brigid McDonald"Cross-listing: Physics Tree
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Publications
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Salzillo TC, Dresner MA, Way A, et al. (2023) Development and implementation of optimized endogenous contrast sequences for delineation in adaptive radiotherapy on a 1.5T MR-linear-accelerator: a prospective R-IDEAL stage 0-2a quantitative/qualitative evaluation of site-specific quality-assurance using a 3D T2 fat-suppressed platform for head and neck cancer. Journal of Medical Imaging (Bellingham, Wash.). 10: 065501 |
El-Habashy DM, Wahid KA, He R, et al. (2023) Weekly Intra-Treatment Diffusion Weighted Imaging Dataset for Head and Neck Cancer Patients Undergoing MR-linac Treatment. Medrxiv : the Preprint Server For Health Sciences |
Zhao Y, Chen X, McDonald B, et al. (2023) A transformer-based hierarchical registration framework for multimodality deformable image registration. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 108: 102286 |
McDonald BA, Cardenas CE, O'Connell N, et al. (2023) Investigation of autosegmentation techniques on T2-weighted MRI for off-line dose reconstruction in MR-linac workflow for head and neck cancers. Medical Physics |
McDonald BA, Salzillo T, Mulder S, et al. (2023) Prospective Evaluation of In Vivo and Phantom Repeatability and Reproducibility of Diffusion-Weighted MRI Sequences on 1.5T MRI-Linear Accelerator (MR-Linac) and MR Simulator Devices for Head and Neck Cancers. Radiotherapy and Oncology : Journal of the European Society For Therapeutic Radiology and Oncology. 109717 |
El-Habashy DM, Wahid KA, He R, et al. (2023) Longitudinal diffusion and volumetric kinetics of head and neck cancer magnetic resonance on a 1.5T MR-Linear accelerator hybrid system: A prospective R-IDEAL Stage 2a imaging biomarker characterization/ pre-qualification study. Medrxiv : the Preprint Server For Health Sciences |
S R Mohamed A, Abusaif A, He R, et al. (2023) Prospective validation of diffusion-weighted MRI as a biomarker of tumor response and oncologic outcomes in head and neck cancer: Results from an observational biomarker pre-qualification study. Radiotherapy and Oncology : Journal of the European Society For Therapeutic Radiology and Oncology. 109641 |
Naser MA, Wahid KA, Ahmed S, et al. (2022) Quality assurance assessment of Intra-Acquisition Diffusion-Weighted and T2-Weighted magnetic resonance imaging registration and contour propagation for head and neck cancer radiotherapy. Medical Physics |
Wahid KA, Xu J, El-Habashy D, et al. (2022) Deep-learning-based generation of synthetic 6-minute MRI from 2-minute MRI for use in head and neck cancer radiotherapy. Frontiers in Oncology. 12: 975902 |
Mulder SL, Heukelom J, McDonald BA, et al. (2022) MR-Guided Adaptive Radiotherapy for OAR Sparing in Head and Neck Cancers. Cancers. 14 |