公开(公告)号：US20180111006A1

公开(公告)日：2018-04-26

申请号：US15843706

申请日：2017-12-15

Applicant: STC.UNM

Inventor： Shuang Luan ,  Daniel Andres Riofrio Almeida

IPC: A61N5/10 ,  G06N3/00

CPC classification number: A61N5/1031 ,  A61N5/10 ,  A61N5/1001 ,  A61N5/1007 ,  A61N5/103 ,  A61N5/1084 ,  A61N2005/101 ,  A61N2005/1024 ,  A61N2005/1034 ,  G06F19/325 ,  G06N3/006 ,  G16H20/40

Abstract: An optimization technique for use with radiation therapy planning that combines stochastic optimization techniques such as Particle Swarm Optimization (PSO) with deterministic techniques to solve for optimal and reliable locations for delivery of radiation doses to a targeted tumor while minimizing the radiation dose experienced by the surrounding critical structures such as normal tissues and organs.

公开(公告)号：US09844684B2

公开(公告)日：2017-12-19

申请号：US15304306

申请日：2015-04-30

Applicant: STC.UNM

Inventor： Shuang Luan ,  Daniel Andres Riofrio Almeida

IPC: A61N5/10 ,  G06N3/00 ,  G06F19/00

CPC classification number: A61N5/1031 ,  A61N5/10 ,  A61N5/1001 ,  A61N5/1007 ,  A61N5/103 ,  A61N5/1084 ,  A61N2005/101 ,  A61N2005/1024 ,  A61N2005/1034 ,  G06F19/00 ,  G06F19/325 ,  G06N3/006 ,  G16H20/40

Abstract: An optimization technique for use with radiation therapy planning that combines stochastic optimization techniques such as Particle Swarm Optimization (PSO) with deterministic techniques to solve for optimal and reliable locations for delivery of radiation doses to a targeted tumor while minimizing the radiation dose experienced by the surrounding critical structures such as normal tissues and organs.

公开(公告)号：US10850122B2

公开(公告)日：2020-12-01

申请号：US15843706

申请日：2017-12-15

Applicant: STC.UNM

Inventor： Shuang Luan ,  Daniel Andres Riofrio Almeida

IPC: A61N5/10 ,  G06N3/00 ,  G06F19/00 ,  G16H20/40

Abstract: An optimization technique for use with radiation therapy planning that combines stochastic optimization techniques such as Particle Swarm Optimization (PSO) with deterministic techniques to solve for optimal and reliable locations for delivery of radiation doses to a targeted tumor while minimizing the radiation dose experienced by the surrounding critical structures such as normal tissues and organs.

公开(公告)号：US20170036037A1

公开(公告)日：2017-02-09

申请号：US15304306

申请日：2015-04-30

Applicant: STC.UNM

Inventor： Shuang Luan ,  Daniel Andres Riofrio Almeida

IPC: A61N5/10 ,  G06F19/00

CPC classification number: A61N5/1031 ,  A61N5/10 ,  A61N5/1001 ,  A61N5/1007 ,  A61N5/103 ,  A61N5/1084 ,  A61N2005/101 ,  A61N2005/1024 ,  A61N2005/1034 ,  G06F19/00 ,  G06F19/325 ,  G06N3/006 ,  G16H20/40

Abstract: An optimization technique for use with radiation therapy planning that combines stochastic optimization techniques such as Particle Swarm Optimization (PSO) with deterministic techniques to solve for optimal and reliable locations for delivery of radiation doses to a targeted tumor while minimizing the radiation dose experienced by the surrounding critical structures such as normal tissues and organs.

Abstract translation: 一种用于放射治疗计划的优化技术，其将随机优化技术（例如粒子群优化（PSO））与确定性技术相结合，以解决将靶向肿瘤辐射剂量递送到最佳和可靠的位置，同时最小化周围的辐射剂量 关键结构如正常组织和器官。