DASSIM-RT and Compressed Sensing-Based Inverse Planning

DASSIM-RT 和基于压缩感知的逆规划

• 批准号: 8643085
• 负责人: Lei Xing
• 金额: $ 57.01万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-01 至 2019-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8643085
• 关键词: Accounting; Address; Algorithms; Cancer Patient; Clinical; Collimator; Complex; Development; Discipline; Dose; Dose-Rate; Equilibrium; Foundations; Future; Generations; Goals; Intensity-Modulated Radiotherapy; Investigation; Knowledge; Lead; Malignant Neoplasms; Maps; Motion; Mus; Patient Care; Patients; Pattern; Performance; Physicians; Planning Techniques; Principal Investigator; Problem Solving; Process; Protocols documentation; Radiation Oncology; Radiation Therapy Oncology Group; Research; Research Personnel; Sampling; Scheme; Series; Shapes; Solutions; System; Systems Analysis; Techniques; Technology; Testing; Therapeutic; Time; TimeLine; Tissues; Translations; Treatment outcome; Variant; base; cancer therapy; case control; cost; design; digital; empowered; improved; innovation; meetings; novel; programs; public health relevance; tool; treatment planning; tumor

NIH R01 (PA 11-260): DASSIM-RT and Compressed Sensing-Based Inverse Planning Project Summary The goal of this project is to establish a novel paradigm of dense angularly sampled and sparse intensity- modulated radiation therapy (DASSIM-RT). In this scheme, the redundant or dispensable modulation of the incident intensity-modulated beams is removed effectively by using a compressed sensing (CS) technique. The delivery time saved in this way is used to increase the angular sampling for improved dose conformality. By balancing the angular sampling and intensity modulation, DASSIM-RT enables us to fully utilize the technical capabilities of modern digital linacs to produce highly conformal dose distributions that can be delivered efficiently. Specifically, we will 1) set up a compressed sensing (CS)-based framework for inverse treatment planning; 2) investigate a new type of treatment scheme termed DASSIM-RT; and 3) show the advantage of DASSIM-RT through a series of phantom cases and previously treated patients. DASSIM-RT represents a truly optimal RT scheme with uncompromised angular sampling (including non-coplanar beams), beam intensity modulation, and possible field-specific energy and collimator angle. If successful, the project will allow us to overcome many of the limitations of existing treatment schemes to meet the unmet clinical demand for highly conformal dose distributions in radiation oncology.

NIH R01 (PA 11-260)：DASSIM-RT 和基于压缩感知的逆向规划 项目概要 该项目的目标是建立一种密集角度采样和稀疏强度的新范例 调制放射治疗（DASSIM-RT）。在该方案中，冗余或可有可无的调制 通过使用压缩传感（CS）技术可以有效地去除入射强度调制光束。这 以这种方式节省的输送时间用于增加角度采样以改善剂量保形性。经过 平衡角度采样和强度调制，DASSIM-RT 使我们能够充分利用技术 现代数字直线加速器能够产生可交付的高度保形剂量分布 高效。具体来说，我们将1）建立一个基于压缩感知（CS）的逆向处理框架 规划; 2）研究一种名为DASSIM-RT的新型治疗方案； 3）展示优势 DASSIM-RT 通过一系列幻象病例和既往治疗过的患者。 DASSIM-RT 代表了真正的 最佳 RT 方案，具有不妥协的角度采样（包括非共面光束）、光束强度 调制，以及可能的场特定能量和准直器角度。如果成功的话，该项目将使我们能够 克服现有治疗方案的许多局限性，以满足高度未满足的临床需求 放射肿瘤学中的适形剂量分布。