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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McDonald BA, Dal Bello R, Fuller CD, et al. (2024) Corrigendum to "The Use of MR-Guided Radiation Therapy for Head and Neck Cancer and Recommended Reporting Guidance" Seminars in Radiation Oncology Volume 34 (2024) 69-83. Seminars in Radiation Oncology. 34: 365 |
El-Habashy DM, Wahid KA, He R, et al. (2024) Dataset of weekly intra-treatment diffusion weighted imaging in head and neck cancer patients treated with MR-Linac. Scientific Data. 11: 487 |
Thrower SL, McDonald BA, Kim M. (2024) Highlights of the 65th Annual Meeting of the American Association of Physicists in Medicine. Practical Radiation Oncology |
McDonald BA, Dal Bello R, Fuller CD, et al. (2023) The Use of MR-Guided Radiation Therapy for Head and Neck Cancer and Recommended Reporting Guidance. Seminars in Radiation Oncology. 34: 69-83 |
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 |