Elekta has been granted a patent for a radiotherapy system that utilizes current and reference images to generate predicted segmentations. The system encodes these images to inform treatment parameters, enhancing the precision of radiotherapy based on previous treatment data. GlobalData’s report on Elekta gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Elekta, Vaping device aerosol generators was a key innovation area identified from patents. Elekta's grant share as of June 2024 was 55%. Grant share is based on the ratio of number of grants to total number of patents.
Radiotherapy system for predicting treatment segmentation using images
The patent US12045993B2 describes a radiotherapy system designed to enhance the treatment process by utilizing advanced image encoding techniques. The system comprises a current fraction encoder and a reference encoder, both of which process images depicting a subject's anatomy. The current fraction encoder generates a set of features from a current fraction image, while the reference encoder processes a reference image and its associated segmentation from a previous treatment. The system's processors decode a combination of these feature sets to predict a segmentation for the current fraction image, which is then used to configure radiotherapy treatment parameters, such as recalculating doses or adjusting machine settings.
Additionally, the patent outlines methods for improving the encoding process, including coarsely aligning images before encoding and sharing weights between the current and reference encoders. The system can also generate low-resolution features and utilize skip connections to enhance the decoding process. Training of the encoders and decoder is performed simultaneously using pairs of training images and their corresponding ground truth segmentations, allowing for continuous improvement in the accuracy of the predicted segmentations. Overall, this innovative approach aims to optimize radiotherapy treatment by leveraging image processing and machine learning techniques.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
