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pro vyhledávání: '"Danielle Chrystall"'
Deep learning enables MV-based real-time image guided radiation therapy for prostate cancer patients
Autor:
Danielle Chrystall, Adam Mylonas, Emily Hewson, Jarad Martin, Paul Keall, Jeremy Booth, Doan Trang Nguyen
Publikováno v:
Physics in Medicine & Biology. 68:095016
Objective. Using MV images for real-time image guided radiation therapy (IGRT) is ideal as it does not require additional imaging equipment, adds no additional imaging dose and provides motion data in the treatment beam frame of reference. However, a
Autor:
Abdella M Ahmed, Maegan Gargett, Levi Madden, Adam Mylonas, Danielle Chrystall, Ryan Brown, Adam Briggs, Trang Nguyen, Paul Keall, Andrew Kneebone, George Hruby, Jeremy Booth
Publikováno v:
Biomedical Physics & Engineering Express. 9:035008
Real-time target position verification during pancreas stereotactic body radiation therapy (SBRT) is important for the detection of unplanned tumour motions. Fast and accurate fiducial marker segmentation is a Requirement of real-time marker-based ve
Autor:
Thomas Eade, Vincent Caillet, Giorgios Angelis, Danielle Chrystall, B Harris, Paul J. Keall, Nicholas Hardcastle, Meegan Shepherd, Jeremy T. Booth, Carol Haddad, Dasantha Jayamanne, Adam Briggs
Publikováno v:
Medical Physics
Background Fiducial markers are used as surrogates for tumor location during radiation therapy treatment. Developments in lung fiducial marker and implantation technology have provided a means to insert markers endobronchially for tracking of lung tu