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US 2021/0196943 A1Published application
Methods, systems, and apparatuses for fast approximation of electric field distribution
AssigneeNovocure GmbH
InventorsReuven Ruby Shamir, Zeev Bomzon
Life of this patent
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Abstract
Methods, systems, and apparatuses are described for fast approximation of electric field distribution.
Claims20
A method comprising:
- determining a plurality of sets of image data associated with a plurality of patients, wherein each patient is associated with a set of image data derived from imaging a portion of the patient, wherein each set of image data comprises a plurality of voxels, wherein each voxel of the plurality of voxels is labeled with a tissue type, and wherein each voxel of the plurality of voxels is labeled with an electric field strength distribution value (V cm−1) derived from a simulated application of an alternating electric field from of a pair of transducer arrays to the portion of the patient;
- determining, based on a first portion of the plurality of sets of image data, a plurality of features for a predictive model;
- training, based on the plurality of features and the first portion of the plurality of sets of image data, the predictive model, wherein the predictive model is configured to estimate electric field strength distribution values;
- testing, based on a second portion of the plurality of sets of image data, the predictive model;
- and
- outputting, based on the testing, the predictive model.
3 more elements
An apparatus comprising:
- one or more processors;
- and
- memory storing processor-executable instructions that, when executed by the one or more processors, cause the apparatus to:
- determine a plurality of sets of image data associated with a plurality of patients, wherein each patient is associated with a set of image data derived from imaging a portion of the patient, wherein each set of image data comprises a plurality of voxels, wherein each voxel of the plurality of voxels is labeled with a tissue type, and wherein each voxel of the plurality of voxels is labeled with an electrical field strength distribution value (V cm−1) derived from a simulated application of an alternating electrical field from of a pair of transducer arrays to the portion of the patient;
- determine, based on a first portion of the plurality of sets of image data, a plurality of features for a predictive model;
- train, based on the plurality of features and the first portion of the plurality of sets of image data, the predictive model, wherein the predictive model is configured to estimate electrical field strength distribution values;
- test, based on a second portion of the plurality of sets of image data, the predictive model;
- and
- output, based on the testing, the predictive model.
6 more elements
A method comprising:
- determining, for a patient, a set of image data, wherein the set of image data comprises a plurality of voxels;
- presenting, to a predictive model, the image data set, wherein the predictive model is configured to estimate electric field strength distribution values based on one or more simulated alternating electric fields from a pair of transducer arrays at a plurality of positions;
- estimating, by the predictive model, for each voxel of the plurality of voxels, one or more electric field distribution strength values for the pair of transducer arrays at each of a plurality of positions;
- and
- determining, based on the estimated one or more electric field distribution strength values for the pair of transducer arrays at each of the plurality of positions, a region of interest, and an anatomical restriction associated with the patient, a transducer array map comprising one or more positions of the plurality of positions.
2 more elements
Dependencies are inferred from the claim text.