公开(公告)号：US06546073B1

公开(公告)日：2003-04-08

申请号：US09706915

申请日：2000-11-06

申请人： Eva K. Lee

发明人： Eva K. Lee

IPC分类号： A61N510

CPC分类号： A61N5/1031 ,  G06F19/00 ,  Y10S378/901

摘要： Systems and methods for providing an optimal treatment plan for delivering a prescribed radiation dose to a predefined target volume within a patient using an external beam radiation delivery unit are provided. The systems have an interface which is adapted to receive information related to a prescribed radiation dose, a predefined target volume within a patient, and parameters associated with an external beam delivery unit. The systems also have a treatment plan modeling processor which is adapted to receive all of the input data and develop a dose calculation optimization model defining a global system. The systems also have an optimization processor which is adapted to determine an optimal treatment plan based on the dose calculation optimization model and all the input data. The methods involve (1) receiving information related to the prescribed radiation dose, the predefined target volume, and parameters associated with the external beam delivery unit, (2) developing a dose calculation optimization model based on a plurality of variables corresponding to the information which define a global system, and (3) outputting an optimal treatment plan based on the dose calculation optimization model and the information.

摘要翻译： 提供了一种用于提供用于使用外部束辐射递送单元将预定辐射剂量递送到患者体内的预定目标体积的最佳治疗计划的系统和方法。 所述系统具有接口，其适于接收与规定的辐射剂量相关的信息，患者内的预定义目标体积以及与外部束传递单元相关联的参数。 该系统还具有处理计划建模处理器，其适于接收所有输入数据并开发定义全局系统的剂量计算优化模型。 该系统还具有优化处理器，其适于基于剂量计算优化模型和所有输入数据确定最佳治疗计划。 所述方法包括：（1）接收与所述规定的辐射剂量相关的信息，所述预定目标体积和与所述外部光束传递单元相关联的参数，（2）基于与所述信息对应的多个变量开发剂量计算优化模型 定义全球系统，（3）基于剂量计算优化模型和信息输出最优治疗计划。

公开(公告)号：US06387034B1

公开(公告)日：2002-05-14

申请号：US09375515

申请日：1999-08-17

申请人： Eva K. Lee

发明人： Eva K. Lee

IPC分类号： A61N500

CPC分类号： A61N5/1031 ,  A61N5/1027

摘要： A brachytherapy treatment planning method and apparatus employs an integer linear programming model for the placement of seeds and branch-and-bound and genetic techniques for finding optimized solutions for seed placement problems based on the model. The model uses binary indicator variables to represent the placement or non-placement of seeds in a predetermined three-dimensional grid of potential seed locations. In preferred embodiments, the three dimensional grid of potential locations corresponds to intersections of a rectangular grid of holes from a template used to place the seeds with each of a number of parallel cross-sectional images of the tumor and surrounding tissue. The images themselves are discretized into a number of image points at a granularity which may or may not be equal to the granularity of the template. The dose delivered to each image point is modeled as a linear combination of the indicator variables. A system of linear constraints is imposed to attempt to keep the dose level at each image point within specified bounds. The branch-and-bound and genetic methods may either maximize the sum of rewards associated with achieving the specified bounds or minimize the sum of penalties associated with deviating from the desired bounds.

摘要翻译： 一种近距离放射疗法治疗计划方法和装置采用整数线性规划模型，用于放置种子和分支和遗传技术，用于基于模型找到种子放置问题的优化解决方案。 该模型使用二进制指示符变量来表示在潜在种子位置的预定三维网格中的种子的放置或不放置。 在优选实施例中，潜在位置的三维网格对应于来自用于将种子与肿瘤和周围组织的多个平行横截面图像中的每一个放置的模板的矩形网格的交点。 图像本身以粒度离散成多个图像点，粒度可以或可以不等于模板的粒度。 递送到每个图像点的剂量被建模为指标变量的线性组合。 施加线性约束的系统以试图将每个图像点处的剂量水平保持在指定范围内。 分支和约束和遗传方法可以最大化与实现指定范围相关的奖励的总和，或最小化与偏离期望范围相关联的惩罚总和。

公开(公告)号：US07046762B2

公开(公告)日：2006-05-16

申请号：US10742471

申请日：2003-12-18

申请人： Eva K. Lee

发明人： Eva K. Lee

IPC分类号： A61N5/10

CPC分类号： A61N5/1031 ,  G06F19/00 ,  G06F19/3481 ,  Y10S378/901

摘要： Systems and methods for providing an optimal treatment plan for delivering a prescribed radiation dose to a predefined target volume within a patient using an external beam radiation delivery unit are provided. One such method comprises: receiving information corresponding to at least one parameter related to intensity-modulated radiation therapy (IMRT) to be used in developing the optimal treatment plan; receiving information corresponding to at least one clinical objective related to a target volume and a critical structure; developing a treatment plan optimization model based on a plurality of variables corresponding to the at least one parameter related to IMRT and the at least one clinical objective which define a global system; and developing a globally optimal treatment plan which optimizes the at least one clinical objective subject to the at least one parameter.

摘要翻译： 提供了一种用于提供用于使用外部束辐射递送单元将预定辐射剂量递送到患者体内的预定目标体积的最佳治疗计划的系统和方法。 一种这样的方法包括：接收与用于制定最佳治疗计划的强度调制放射治疗（IMRT）相关的至少一个参数的信息; 接收对应于与目标体积和临界结构相关的至少一个临床目标的信息; 基于对应于与IMRT相关的至少一个参数的多个变量和定义全局系统的至少一个临床目标来开发治疗计划优化模型; 以及开发全球最佳治疗计划，其优化至少一个临床目标受到至少一个参数的影响。

公开(公告)号：US06741674B2

公开(公告)日：2004-05-25

申请号：US10341257

申请日：2003-01-13

申请人： Eva K. Lee

发明人： Eva K. Lee

IPC分类号： A61N510

CPC分类号： A61N5/1031 ,  G06F19/00 ,  Y10S378/901

摘要： Systems and methods for providing an optimal treatment plan for delivering a prescribed radiation dose to a predefined target volume within a patient using an external beam radiation delivery unit are provided. The systems have an interface which is adapted to receive information related to a prescribed radiation dose, a predefined target volume within a patient, and parameters associated with an external beam delivery unit. The systems also have a treatment plan modeling processor which is adapted to receive all of the input data and develop a treatment plan optimization model defining a global system. The systems also have an optimization processor which is adapted to determine an optimal treatment plan based on the treatment plan optimization model and all the input data.

摘要翻译： 提供了一种用于提供用于使用外部束辐射递送单元将预定辐射剂量递送到患者体内的预定目标体积的最佳治疗计划的系统和方法。 所述系统具有接口，其适于接收与规定的辐射剂量相关的信息，患者内的预定义目标体积以及与外部束传递单元相关联的参数。 系统还具有治疗计划建模处理器，其适于接收所有输入数据，并开发定义全局系统的治疗计划优化模型。 该系统还具有优化处理器，其适于基于治疗计划优化模型和所有输入数据确定最佳治疗计划。

公开(公告)号：US07107089B2

公开(公告)日：2006-09-12

申请号：US10465341

申请日：2003-06-19

申请人： Eva K. Lee

发明人： Eva K. Lee

IPC分类号： G01B5/26 ,  G01B13/20

CPC分类号： G01B21/28 ,  A61N5/1027 ,  A61N5/103

摘要： A mathematical contouring algorithm that automatically determines the planning volume of a sarcoma prior to designing a brachytherapy treatment plan. The algorithm, utilizing computational geometry, numerical interpolation and artificial intelligence (AI) techniques, returns the planning volume in digitized and graphical forms in a matter of minutes. Such an automatic procedure reduces labor time and provides a consistent and objective method for determining planning volumes. In addition, a definitive representation of the planning volume allows for sophisticated brachytherapy treatment planning approaches to be applied when designing treatment plans, so as to maximize local tumor control and minimize normal tissue complications.

公开(公告)号：US06615070B2

公开(公告)日：2003-09-02

申请号：US09872118

申请日：2001-06-01

申请人： Eva K. Lee

发明人： Eva K. Lee

IPC分类号： G01B526

CPC分类号： G01B21/28 ,  A61N5/1027 ,  A61N5/103

摘要： A mathematical contouring algorithm that automatically determines the planning volume of a sarcoma prior to designing a brachytherapy treatment plan. The algorithm, utilizing computational geometry, numerical interpolation and artificial intelligence (AI) techniques, returns the planning volume in digitized and graphical forms in a matter of minutes. Such an automatic procedure reduces labor time and provides a consistent and objective method for determining planning volumes. In addition, a definitive representation of the planning volume allows for sophisticated brachytherapy treatment planning approaches to be applied when designing treatment plans, so as to maximize local tumor control and minimize normal tissue complications.

公开(公告)号：US06530873B1

公开(公告)日：2003-03-11

申请号：US09697601

申请日：2000-10-27

申请人： Eva K. Lee

发明人： Eva K. Lee

IPC分类号： A61N500

CPC分类号： A61N5/1031 ,  A61N5/1027

摘要： Techniques for planning the placement of seeds for a brachytherapy treatment of diseased tissue include representing a placement or non-placement of a seed in each point of a predetermined three dimensional grid of potential seed locations with a binary indicator variable. A tumor and surrounding tissue are represented as a predetermined three dimensional tissue grid having a plurality of tissue points. At least one of an upper bound and a lower bound for a dose of radiation received is associated with each point in the tissue grid. An objective value is calculated based on a difference at each point of the tissue grid between an amount of radiation based on a trial placement of seeds and the upper bound or the lower bound of both. The trial placement of seeds is varied and the objective value is again calculated, thereby resulting in additional objective values. An optimal objective value is selected from the calculated objective value and the additional objective values. The planned placement of seeds is set based on the trial placement of seeds that obtains the optimal objective value. Preferably, the tumor and surrounding tissue are represented based on biological imaging. A larger upper bound is preferably associated with fast-proliferating tumor cells than with slowly-proliferating tumor cells. Additionally, the tissue grid may represent the tumor and surrounding tissue at a particular time. In some of these cases, the three dimensional grid of potential seed locations at a time of seed insertion is mapped to a new grid of potential seed locations at the particular time.

摘要翻译： 用于规划放置患病组织的近距离放射治疗的种子的技术包括用二进制指示变量表示在潜在种子位置的预定三维网格的每个点的种子的位置或不放置种子。 肿瘤和周围组织被表示为具有多个组织点的预定三维组织网格。 接收的辐射剂量的上限和下限中的至少一个与组织网格中的每个点相关联。 基于种子的试验放置的辐射量与两者的上限或下限之间的组织网格的每个点处的差异来计算客观值。 种子的试验放置变化，再次计算目标值，从而产生额外的目标值。 从计算的目标值和附加目标值中选择最佳目标值。 种子的计划放置是根据获得最佳目标值的种子的试验放置设定的。 优选地，基于生物成像来表示肿瘤和周围组织。 与缓慢增殖的肿瘤细胞相比，较大的上限优选与快速增殖的肿瘤细胞相关。 此外，组织网格可以在特定时间表示肿瘤和周围组织。 在其中一些情况下，种子插入时的潜在种子位置的三维网格在特定时间被映射到潜在种子位置的新网格。