Patents by Inventor Daniel Andres Riofrio Almeida

Daniel Andres Riofrio Almeida has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Optimization methods for radiation therapy planning
    Patent number: 10850122
    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.
    Type: Grant
    Filed: December 15, 2017
    Date of Patent: December 1, 2020
    Assignee: STC.UNM
    Inventors: Shuang Luan, Daniel Andres Riofrio Almeida
  • OPTIMIZATION METHODS FOR RADIATION THERAPY PLANNING
    Publication number: 20180111006
    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.
    Type: Application
    Filed: December 15, 2017
    Publication date: April 26, 2018
    Inventors: Shuang Luan, Daniel Andres Riofrio Almeida
  • Optimization methods for radiation therapy planning
    Patent number: 9844684
    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.
    Type: Grant
    Filed: April 30, 2015
    Date of Patent: December 19, 2017
    Assignee: STC.UNM
    Inventors: Shuang Luan, Daniel Andres Riofrio Almeida
  • OPTIMIZATION METHODS FOR RADIATION THERAPY PLANNING
    Publication number: 20170036037
    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.
    Type: Application
    Filed: April 30, 2015
    Publication date: February 9, 2017
    Inventors: Shuang Luan, Daniel Andres Riofrio Almeida