公开(公告)号：US20210339048A1

公开(公告)日：2021-11-04

申请号：US16863147

申请日：2020-04-30

Applicant: The Board of Regents of the University of Texas System

Inventor： Dan Nguyen ,  Azar Sadeghnejad Barkousaraie ,  Steve Jiang

IPC: A61N5/10 ,  G16H20/40 ,  G16H30/20

Abstract: A method for determining a radiotherapy treatment plan can include: receiving anatomical data for a patient; generating, via a neural network analyzing the anatomical data, a plurality of fitness values for a plurality of candidate beam orientations; determining a selected beam orientation based on the plurality of fitness values; performing a fluence map optimization (FMO) process on the selected beam orientation; and determining a dose distribution for the patient based on the FMO process.

公开(公告)号：US11865362B2

公开(公告)日：2024-01-09

申请号：US16863147

申请日：2020-04-30

Applicant: The Board of Regents of The University of Texas System

Inventor： Dan Nguyen ,  Azar Sadeghnejad Barkousaraie ,  Steve Jiang

IPC: A61N5/10 ,  G16H30/20 ,  G16H20/40

CPC classification number: A61N5/1031 ,  A61N5/1036 ,  A61N5/1039 ,  A61N5/1045 ,  G16H20/40 ,  G16H30/20 ,  A61N2005/1034

Abstract: A method for determining a radiotherapy treatment plan can include: receiving anatomical data for a patient; generating, via a neural network analyzing the anatomical data, a plurality of fitness values for a plurality of candidate beam orientations; determining a selected beam orientation based on the plurality of fitness values; performing a fluence map optimization (FMO) process on the selected beam orientation; and determining a dose distribution for the patient based on the FMO process.

公开(公告)号：US11615873B2

公开(公告)日：2023-03-28

申请号：US16558681

申请日：2019-09-03

Applicant: The Board of Regents of The University of Texas System

Inventor： Dan Nguyen ,  Steve Jiang

IPC: G16H20/10 ,  G06N5/04 ,  G06N3/08 ,  G06N3/04

Abstract: A method and system for generating a treatment plan are disclosed herein. A computing system receives a plurality of dose volume histograms for a plurality of patients and a plurality of volumetric dose distributions corresponding to the plurality of dose volume histograms. The computing system generates a volumetric dose prediction model using a neural network by learning, by the neural network, a relationship between a plurality of dose volume histograms for the plurality of patients and the corresponding plurality of volumetric dose distributions. The computing system receives a candidate dose volume histogram for a target patient. The computing system infers, via the volumetric dose prediction module, a volumetric dose prediction distribution matching the candidate dose volume histogram. The computing system generates a recommendation based on the inferred volumetric dose prediction distribution.

公开(公告)号：US20200075148A1

公开(公告)日：2020-03-05

申请号：US16558681

申请日：2019-09-03

Applicant: The Board of Regents of the University of Texas System

Inventor： Dan Nguyen ,  Steve Jiang

IPC: G16H20/10 ,  G06N3/04 ,  G06N3/08 ,  G06N5/04

Abstract: A method and system for generating a treatment plan are disclosed herein. A computing system receives a plurality of dose volume histograms for a plurality of patients and a plurality of volumetric dose distributions corresponding to the plurality of dose volume histograms. The computing system generates a volumetric dose prediction model using a neural network by learning, by the neural network, a relationship between a plurality of dose volume histograms for the plurality of patients and the corresponding plurality of volumetric dose distributions. The computing system receives a candidate dose volume histogram for a target patient. The computing system infers, via the volumetric dose prediction module, a volumetric dose prediction distribution matching the candidate dose volume histogram. The computing system generates a recommendation based on the inferred volumetric dose prediction distribution.