公开(公告)号：US20160166855A1

公开(公告)日：2016-06-16

申请号：US14908226

申请日：2014-07-11

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Prashant KUMAR ,  Karl Antonin BZDUSEK

IPC: A61N5/10

CPC classification number: A61N5/1039 ,  A61N5/1038

Abstract: An automated treatment planning system having a planning image memory (14) which stores a volume diagnostic image; a user interface device (32) configured for a user to input data defining a plurality of regions of interest within the volume diagnostic image; and one or more processors. The processors are configured to receive the volume diagnostic image and plurality of user-defined regions of interest indicated within the volume diagnostic image; map the plurality of regions of interest to the body atlas (35) to determine anatomical locations within the plurality of regions of interest; map each region of interest of the plurality of regions of interest to the body atlas to select correct corresponding anatomical structures; receive a treatment plan template based upon the anatomical structures from a knowledge base (36). A planning module (38) is configured to generate a treatment plan using the treatment plan template.

Abstract translation: 一种具有计划图像存储器（14）的自动治疗计划系统，其存储体积诊断图像; 用户界面设备（32），其被配置用于用户输入定义所述体积诊断图像内的多个感兴趣区域的数据; 和一个或多个处理器。 处理器被配置为接收体积诊断图像和在体积诊断图像内指示的多个用户定义的感兴趣区域; 将感兴趣的多个区域映射到身体图集（35）以确定所述多个感兴趣区域内的解剖位置; 将感兴趣的多个感兴趣区域的每个感兴趣区域映射到身体图集以选择正确的对应解剖结构; 基于知识库的解剖结构（36）接收治疗计划模板。 计划模块（38）被配置为使用治疗计划模板生成治疗计划。

公开(公告)号：US20150141733A1

公开(公告)日：2015-05-21

申请号：US14600474

申请日：2015-01-20

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Prashant KUMAR ,  Karl Antonin BZDUSEK ,  Vaitheeswaran RANGANATHAN ,  Matthew PALMER ,  Michael KANTOR

IPC: A61N5/10

CPC classification number: A61N5/1039 ,  A61N5/1031 ,  A61N5/1038 ,  A61N5/1042 ,  A61N5/1045 ,  A61N5/1047 ,  G06F19/3481 ,  G16H20/40

Abstract: A therapy planning system and method generate an optimal treatment plan accounting for changes in anatomy. Therapy is delivered to the subject according to a first auto-planned optimal treatment plan based on a first image of a subject. A second image of the subject is received after a period of time. The second image is registered with the first image to generate a deformation map accounting for physiological changes. The second image is segmented into regions of interest using the deformation map. A mapped delivered dose is computed for each region of interest using the dose delivery goals and the deformation map. The first treatment plan is merged with the segmented regions of the second image and the mapped delivered dose during optimization.

Abstract translation: 治疗计划系统和方法产生解释解剖变化的最佳治疗方案。 根据受试者的第一个图像，根据第一个自动计划的最佳治疗计划，将治疗传递给该受试者。 在一段时间后收到主题的第二张图像。 将第二图像与第一图像一起登记，以生成考虑生理变化的变形图。 使用变形图将第二图像分割成感兴趣区域。 使用剂量递送目标和变形图计算每个感兴趣区域的映射递送剂量。 在优化过程中，第一个处理计划与第二个图像的分割区域和映射的递送剂量合并。

公开(公告)号：US20190038916A1

公开(公告)日：2019-02-07

申请号：US16076721

申请日：2017-03-01

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Vaitheeswaran RANGANATHAN ,  Prashant KUMAR ,  Karl Antonin BZDUSEK

IPC: A61N5/10 ,  A61B6/00

Abstract: An achievability estimate is computed for an intensity modulated radiation therapy (IMRT) geometry (32) including a target volume, an organ at risk (OAR), and at least one radiation beam. Namely, a geometric complexity (GC) metric is computed for the IMRT geometry that compares a number NT of beamlets of the at least one radiation beam available in the IMRT geometry for irradiating the target volume and a number n of these beamlets that also pass through the OAR. A GC metric ratio is computed of the GC metric for the IMRT geometry and the GC metric for a reference IMRT geometry for which an IMRT plan is achievable. If the clinician is satisfied with this estimate then optimization (38) of an IMRT plan for the IMRT geometry (32) is performed. Alternatively, a reference IMRT geometry is selected by comparing the GC metric with GC metrics of past IMRT plans.

公开(公告)号：US20160339268A1

公开(公告)日：2016-11-24

申请号：US14783025

申请日：2014-04-03

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Karl Antonin BZDUSEK ,  Sean FRIGO

IPC: A61N5/10

CPC classification number: A61N5/1031 ,  A61N5/1047 ,  A61N2005/1074

Abstract: A radiation therapy planning system (10) includes an isodose line unit (36), a region of interest unit (52), and an optimization unit (58). The isodose line unit (36) receives isodose lines planned for a volume of a subject. The region of interest unit (52) defines at least one isodose region of interest based on the received isodose lines. The optimization unit (58) generates an optimized radiation therapy plan based on the at least one defined isodose region of interest and at least one dose objective for the defined region of interest.

Abstract translation: 放射治疗计划系统（10）包括等剂量线单元（36），感兴趣区域单元（52）和优化单元（58）。 等剂量线单元（36）接收针对受试者体积计划的等剂量线。 感兴趣区域（52）基于接收到的等剂量线定义至少一个等剂量的感兴趣区域。 优化单元（58）基于所述至少一个所定义的目的等剂量区域和所述定义的感兴趣区域的至少一个剂量目标产生优化的放射治疗计划。

公开(公告)号：US20200206534A1

公开(公告)日：2020-07-02

申请号：US16632445

申请日：2018-07-31

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Karl Antonin BZDUSEK

IPC: A61N5/10

Abstract: In radiation treatment planning, a plurality of optimization loops are performed. In each optimization loop computes a dose distribution (60) in a patient represented by a planning image (42) with regions of interest (ROIs) defined in the planning image. Weights (64) for objective functions (50) are determined from objective function value (OFV) goals (52) for the objective functions. An optimized dose distribution is produced by adjusting the plan parameters to optimize the computed dose distribution respective to composite objective function (62). At least one optimization loop may include updating (70) at least one OFV goal to be used in at least the next performed optimization loop. At least one optimization loop may include updating an objective function quantifying compliance with a target dose for a target ROI based on a comparison of a metric of coverage of the target ROI and a desired coverage of the target ROI.

公开(公告)号：US20180154177A1

公开(公告)日：2018-06-07

申请号：US15572628

申请日：2016-05-23

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Karl Antonin BZDUSEK ,  Prashant KUMAR

IPC: A61N5/10

CPC classification number: A61N5/1031 ,  A61N5/1039 ,  A61N5/1047 ,  A61N5/1077

Abstract: A radiation therapy planning system (100) includes a radiation therapy optimization unit (124), which receives at least one target structure and at least one organ-at-risk (OAR) structure segmented from a volumetric image, and generates an optimized plan (126) based on at least one modified objective function. The optimized plan (126) includes a planned radiation dose for each voxel.

公开(公告)号：US20160030767A1

公开(公告)日：2016-02-04

申请号：US14772441

申请日：2014-03-11

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Prashant KUMAR ,  Vaitheeswaran RANGANATHAN ,  Karl Antonin BZDUSEK

IPC: A61N5/10

CPC classification number: A61N5/1031 ,  A61N5/103 ,  A61N5/1071 ,  A61N2005/1074

Abstract: A method for reviewing a treatment plan (24) for delivering radiation therapy to a patient. The treatment plan (24) includes geometric analysis data, dose distribution analysis data, dose volume histogram data, parametric analysis data or deliverability analysis data of a patient. First, for the treatment plan (24), a plurality of clinical and delivery goals are identified (20, 22). Next, goal data points are extracted (26) from the treatment plan (24). Then, data points are correlated (28) to identify deficiencies in the treatment plan (24). A report is generated (30) to display on a display (10) the correlated data points using visual markings (84) to highlight identified deficiencies. Text and audio notations can be attached to the report to explain the correlations and warn a user of plan deficiencies.

Abstract translation: 一种用于检查将辐射治疗递送给患者的治疗计划（24）的方法。 治疗计划（24）包括患者的几何分析数据，剂量分布分析数据，剂量体积直方图数据，参数分析数据或递送能力分析数据。 首先，对于治疗计划（24），确定了多个临床和递送目标（20,22）。 接下来，从处理计划（24）提取目标数据点（26）。 然后，数据点是相关的（28）来识别治疗计划中的缺陷（24）。 生成报告（30），使用视觉标记（84）在显示器（10）上显示相关数据点，以突出识别缺陷。 文本和音频符号可以附加到报告中，以解释相关性，并向用户警告计划缺陷。