Invention Grant
- Patent Title: Real-time anatomic position monitoring in radiotherapy using machine learning regression
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Application No.: US17302252Application Date: 2021-04-28
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Publication No.: US12133993B2Publication Date: 2024-11-05
- Inventor: Philip P. Novosad , Silvain Beriault
- Applicant: Elekta, Inc.
- Applicant Address: US GA Atlanta
- Assignee: Elekta, Inc.
- Current Assignee: Elekta, Inc.
- Current Assignee Address: US GA Atlanta
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: A61N5/10
- IPC: A61N5/10 ; G06T7/33

Abstract:
Systems and methods are disclosed for monitoring anatomic position of a human subject for a radiotherapy treatment session, based on use of a regression model trained to estimate movement of a region of interest based on 2D image data input. Example operations for movement estimation include: obtaining 3D image data for a subject, which provides a reference volume and at least one defined region of interest; obtaining 2D image data corresponding to the subject, captured in real time (during the radiotherapy treatment session); extracting features from the 2D image data; analyzing the extracted features with a machine learning regression model, trained to estimate a spatial transformation in the three dimensions of the reference volume; and outputting and using a relative motion estimation of the at least one region of interest, produced from the machine learning regression model, the relative motion estimation being estimated from the extracted features.
Public/Granted literature
- US20220347493A1 REAL-TIME ANATOMIC POSITION MONITORING IN RADIOTHERAPY USING MACHINE LEARNING REGRESSION Public/Granted day:2022-11-03
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