Non-linear correlation models for internal target movement
First Claim
Patent Images
1. A computer-implemented method, comprising:
- receiving a plurality of data points representative of a corresponding plurality of positions over time of an external marker associated with respiration of a patient;
receiving a plurality of images of an internal target of the patient, the plurality of images corresponding in time to the plurality of data points;
developing, using a processing device, a non-linear correlation model of a non-linear path of movement of the target based on the plurality of data points and the plurality of images to correlate a plurality of positions of the internal target with the plurality of positions of the external marker, wherein developing the non-linear correlation model comprises;
generating an inspiration approximation associated with the non-linear path of movement of the target over an inspiration interval of the non-linear path;
generating an expiration approximation associated with the non-linear path of movement of the target over an expiration interval of the non-linear path; and
generating one or more matching approximations to link the inspiration approximation and the expiration approximation.
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Abstract
A method and apparatus to track non-linear internal target movement based on movement of an external marker.
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Citations
21 Claims
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1. A computer-implemented method, comprising:
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receiving a plurality of data points representative of a corresponding plurality of positions over time of an external marker associated with respiration of a patient; receiving a plurality of images of an internal target of the patient, the plurality of images corresponding in time to the plurality of data points; developing, using a processing device, a non-linear correlation model of a non-linear path of movement of the target based on the plurality of data points and the plurality of images to correlate a plurality of positions of the internal target with the plurality of positions of the external marker, wherein developing the non-linear correlation model comprises; generating an inspiration approximation associated with the non-linear path of movement of the target over an inspiration interval of the non-linear path; generating an expiration approximation associated with the non-linear path of movement of the target over an expiration interval of the non-linear path; and generating one or more matching approximations to link the inspiration approximation and the expiration approximation. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. An apparatus, comprising:
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a data storage device to store a plurality of data points representative of a corresponding plurality of positions over time of an external marker, the data storage device to store a plurality of images of an internal target of the patient, the plurality of images corresponding in time to the plurality of data points; and a processing device coupled to the data storage device, the processing device configured to; develop a non-linear correlation model of a non-linear path of movement of the target based on the plurality of data points and the plurality of images to correlate a plurality of positions of the internal target with the plurality of positions of the external marker, wherein developing the non-linear correlation model comprises; generate an inspiration approximation associated with the non-linear path of movement of the target over an inspiration interval of the non-linear path; generate an expiration approximation associated with the non-linear path of movement of the target over an expiration interval of the non-linear path; and generate one or more matching approximations to link the inspiration approximation and the expiration approximation. - View Dependent Claims (10, 11, 12, 13, 14)
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15. A non-transitory machine readable storage medium having instructions thereon, which when executed by a processing device, cause the processing device to perform one or more operations comprising:
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receiving a plurality of data points representative of a corresponding plurality of positions over time of an external marker associated with respiration of a patient; receiving a plurality of images of an internal target of the patient, the plurality of images corresponding in time to the plurality of data points; developing, using a processing device, a non-linear correlation model of a non-linear path of movement of the target based on the plurality of data points and the plurality of images to correlate a plurality of positions of the internal target with the plurality of positions of the external marker, wherein developing the non-linear correlation model comprises; generating an inspiration approximation associated with the non-linear path of movement of the target over an inspiration interval of the non-linear path; generating an expiration approximation associated with the non-linear path of movement of the target over an expiration interval of the non-linear path; and generating one or more matching approximations to link the inspiration approximation and the expiration approximation. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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Specification