Unlock instant, AI-driven research and patent intelligence for your innovation.

Methods and systems for adaptive radiotherapy treatment planning using deep learning engines

A technology of radiation therapy and deep learning, applied in radiation therapy, mechanical/radiation/invasive therapy, X-ray/γ-ray/particle irradiation therapy, etc., can solve time-consuming and labor-intensive problems

Active Publication Date: 2020-04-07
VARIAN MEDICAL SYST INT AG
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, to achieve this goal, conventional radiation therapy planning and / or adaptive radiation therapy planning can be time-consuming and laborious

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Methods and systems for adaptive radiotherapy treatment planning using deep learning engines
  • Methods and systems for adaptive radiotherapy treatment planning using deep learning engines
  • Methods and systems for adaptive radiotherapy treatment planning using deep learning engines

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] The technical details set forth in the following description will enable one skilled in the art to implement one or more embodiments of the present disclosure.

[0017] figure 1 is a schematic diagram illustrating an example process flow 100 for radiation therapy. Example process 100 may include one or more operations, functions, or actions illustrated by one or more blocks. Various blocks may be combined into fewer blocks, divided into additional blocks and / or deleted based on the desired implementation. exist figure 1 In the example in , radiation therapy typically includes various stages, such as imaging system performing image data acquisition for the patient (see 110); radiation treatment planning system (see 130) generating an appropriate treatment plan for the patient (see 156); and treatment delivery The system (see 160) delivers therapy according to the therapy plan.

[0018] In more detail, in figure 1 At 110 , image data acquisition may be performed u...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A method for a computer system to perform adaptive radiotherapy treatment planning comprises: obtaining treatment image data associated with a first imaging modality, wherein the treatment image datais acquired during a treatment phase of a patient; obtaining planning image data associated with a second imaging modality, wherein the planning image data is acquired prior to the treatment phase togenerate a treatment plan for the patient; determining whether a difference between the treatment image data and the planning image data exceeds a threshold; in response to determination that the difference exceeds the threshold, transforming the treatment image data associated with the first imaging modality to generate transformed image data associated with the second imaging modality; and processing, using the deep learning engine, the transformed image data to generate output data for updating the treatment plan.

Description

Background technique [0001] Unless otherwise indicated herein, the approaches described in this section are not prior art to the claims in this application and are not admitted to be prior art by inclusion in this section. [0002] Radiation therapy is an important part of treatment for reducing or eliminating unwanted tumors from patients. Unfortunately, applied radiation by itself will not distinguish an undesired tumor from any proximal healthy structures, such as organs and the like. This requires careful administration to limit the radiation to the tumor (ie, the target). Ideally, the goal is to deliver lethal or disabling radiation doses to the tumor while maintaining acceptable dose levels in proximal healthy structures. However, conventional radiation therapy planning and / or adaptive radiation therapy planning can be time-consuming and laborious in order to achieve this goal. Contents of the invention [0003] According to a first aspect of the present disclosure,...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): A61N5/10
CPCA61N5/1039A61N5/1038G16H50/20G16H20/40G16H30/40
Inventor H·拉克索南J·诺德S·P·珀图
Owner VARIAN MEDICAL SYST INT AG