Method for modification of radiotherapy treatment delivery
    10.
    发明申请
    Method for modification of radiotherapy treatment delivery 有权
    放射治疗传递的修改方法

    公开(公告)号:US20050201516A1

    公开(公告)日:2005-09-15

    申请号:US10506866

    申请日:2003-03-06

    摘要: The present invention provides a novel method of contoured-anatomy dose repositioning (CADR) as a means to automatically reposition a patient to better recover the planned dose distribution without reoptimize the treatment plan. Specifically, CADR utilizes planning CT images, the planned dose distribution, and on-line images for repositioning dose distribution on a given day. Contours are also placed upon the images using manual, automatic, template-based, or other techniques. CADR then optimizes the rigid-body repositioning of the patient so that the daily dose distribution closely matches the planned dose distribution. The present invention also provides a method of multiple-margin optimization with daily selection (MMODS) to improve radiation delivery without reoptimization. During the initial optimization procedure, plans are optimized for several margins of various contours (e.g., tight, medium, loose, etc.), or with different objectives (e.g., aggressive treatment, sensitive structure sparing, etc.). Similarly, if multiple patient image sets are available, plans can be optimized for the different anatomical layouts, either using current information, or accumulated information regarding the superposition of organ locations in the combination of images. A user can then choose in real time from a variety of optimized plans, generally with different margins, during the treatment process, and thereby compensate for a recognized change in size or position of the tumor or neighboring tissue.

    摘要翻译: 本发明提供了一种轮廓解剖学剂量重新定位(CADR)的新方法,作为自动重新定位患者的手段,以更好地恢复计划的剂量分布,而不重新优化治疗计划。 具体来说,CADR利用计划的CT图像,计划的剂量分布和在线图像在给定的一天重新定位剂量分布。 使用手动,自动,基于模板或其他技术的轮廓也被放置在图像上。 然后,CADR优化患者的刚体重新定位,使得日剂量分布与计划的剂量分布密切相关。 本发明还提供了一种利用日常选择(MMODS)进行多边距优化的方法,以改善辐射递送而不重新优化。 在初始优化过程中,针对各种轮廓(例如紧密,中等,松散等)或不同目标(例如,积极的治疗,敏感的结构节省等)的几个边缘优化了计划。 类似地,如果多个患者图像组可用,则针对不同的解剖结构布局可以优化计划,使用当前信息或关于图像组合中器官位置的叠加的累积信息。 然后,用户可以在处理过程中从各种优化的计划(通常具有不同的边缘)实时地选择,从而补偿肿瘤或相邻组织的大小或位置的公认变化。