Methods for real-time image guided radiation therapy

By using multiplication of incomplete or partial image data with radiation emission matrix, the dependence on high-quality images in the prior art is solved, and real-time accurate radiation projection of the radiation therapy system is achieved.

JP2025061196APending Publication Date: 2025-04-10REFLEXION MEDICAL INC
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Patent Information

Application Number
JP2025003926
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Priority Date
2017-07-26
Filing Date
2025-01-10
Publication Date
2025-04-10

AI Technical Summary

Technical Problem

When existing radiation therapy systems track the movement of the target area in real time, they require high-quality, high signal-to-noise ratio complete images, otherwise the location of the target area cannot be accurately calculated, resulting in inaccurate projection of radiation to non-target areas.

Method used

Using incomplete or partial images and/or image data, a real-time radiation fluence distribution is calculated by multiplication of the radiation emission matrix (RFM) with these image data to ensure that the radiation energy is projected to the target area at a predetermined dose.

Benefits of technology

It realizes that radiation therapy can be performed accurately and in real time without high-quality complete images, improving the accuracy and efficiency of treatment.

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Abstract

To provide a favorable method for real-time image guided radiation therapy.SOLUTION: Disclosed herein are systems and methods for guiding delivery of therapeutic radiation using incomplete or partial images acquired during a treatment session. A partial image does not have enough information to determine the location of a target region due to, for example, poor or low contrast and / or low SNR. The radiation fluence calculation methods described herein do not require knowledge or calculation of the target location, and yet may help to provide real-time image guided radiation therapy using arbitrarily low SNR images.SELECTED DRAWING: Figure 2B
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