Geometric Problems in Radiosurgery, Radiation Therapy, and Other Medical Applications

放射外科、放射治疗和其他医学应用中的几何问题

• 批准号: 9988468
• 负责人: Danny Chen
• 金额: $ 26.36万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-05-01 至 2004-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9988468&HistoricalAwards=false
• 关键词: Geometric; Problems; Radiosurgery; Radiation; Therapy

This project is on the design, analysis, and implementation of algorithmic techniques for solving geometric problems that arise in radiosurgery, radiation therapy, and other medical applications. Radiosurgery is a minimally invasive surgical procedure that uses a set of focused beams of radiation to destroy tumors. A key step in radiotherapy and radiosurgery is to develop a treatment plan that defines the best radiation beam arrangements and time settings to destroy the target tumor without harming the surrounding healthy tissues. At the core of radiation treatment planning is a set of substantially non-trivial geometric optimization problems.We seek to investigate a number of geometric optimization problems arising in radiation treatment planning, such as beam selection (including beam probing and its many variations), surgical navigation and routing, sphere packing, beam shaping, image segmentation, shape approximation, and beam source path planning.This interdisciplinary research will draw diverse techniques from computational geometry and other theoretical areas, such as operations research and combinatorial optimization. Furthermore, this research will provide a rich source of problems and new challenges that prod further development of algorithmic techniques in these theoretical areas. The planned research includes an important experimental component. Educational activities on course development and student training in the interdisciplinary area of computational medicine are also part of the project.

该项目致力于设计、分析和实施算法技术，以解决放射外科、放射治疗和其他医疗应用中出现的几何问题。 放射外科是一种微创外科手术，使用一组聚焦辐射束来破坏肿瘤。 放射治疗和放射外科的关键步骤是制定治疗计划，定义最佳放射束排列和时间设置，以摧毁目标肿瘤而不伤害周围的健康组织。 放射治疗计划的核心是一组实质上不平凡的几何优化问题。我们寻求研究放射治疗计划中出现的许多几何优化问题，例如射束选择（包括射束探测及其许多变体）、手术导航和路由、球体封装、光束整形、图像分割、形状近似和光束源路径规划。这项跨学科研究将从计算几何和其他理论领域（例如运筹学和组合优化）汲取多种技术。 此外，这项研究将提供丰富的问题​​来源和新的挑战，推动这些理论领域算法技术的进一步发展。 计划中的研究包括一个重要的实验部分。 计算医学跨学科领域的课程开发和学生培训教育活动也是该项目的一部分。