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Showing 1 to 4 of 4 for “"Radiotherapy Planning, Computer-Assisted"”.

  1. Efficient and Intelligent Radiotherapy Planning and Adaptation

    Treatment planning--inverse planning on volumetric tomography images--is the foundation of modern radiotherapy. Contouring planning structures and optimizing plan dose distributions are the two most important components of treatment planning. Treatment planning happens in two stages. The initial …

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  2. Intelligent Automatic Treatment Planning for Radiation Therapy

    … delivery techniques such as Intensity-modulated radiotherapy (IMRT) and volumetric-modulated arc therapy (VMAT) to precisely shape the radiation dose highly conformal to the shape of the tumor while minimizing exposure to the surrounding organs. The success of these novel delivery techniques …

    utswmed Repository record for Intelligent Automatic Treatment Planning for Radiation Therapy (opens in a new tab)

  3. Addressing Label Variability in Deep Learning-Based Segmentation for Radiation Therapy

    The general metadata -- e.g., title, author, abstract, subject headings, etc. -- is publicly available, but access to the submitted files is restricted to UT Southwestern campus access and/or authorized UT Southwestern users.

    utswmed Repository record for Addressing Label Variability in Deep Learning-Based Segmentation for Radiation Therapy (opens in a new tab)

  4. Improving Cone-Beam Computed Tomography Based Adaptive Radiation Therapy with Deep Learning

    … deformable image registration (DIR) between pre-planning CT (pCT) and CBCT; however, this method often inadequately preserves CBCT anatomy due to DIR errors. Another challenge stems from the truncation issue in CBCT images, resulting from size limitations of imaging panels, which consequently …

    utswmed Repository record for Improving Cone-Beam Computed Tomography Based Adaptive Radiation Therapy with Deep Learning (opens in a new tab)