Constrained-curve correlation model
First Claim
Patent Images
1. A method, comprising:
- acquiring a plurality of data points representative of a corresponding plurality of positions over time of an external marker disposed on a surface of an object;
acquiring an image of a target internal to the object; and
identifying a non-linear path of movement of the target based on the plurality of data points and the image using a parameterization function to approximate the non-linear path of movement, wherein the parameterization function comprises a constrained curve that intersects a principal axis of the plurality of data points at a first intersection and at a second intersection, and the constrained curve is tangent to the principal axis at the first and second intersections, wherein the principal axis is determined using an approximation of the plurality of data points.
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Abstract
A method and apparatus to develop an advanced correlation model of movement of a target within a patient, which needs less data points and can adapt to the changes of respiration behavior automatically.
48 Citations
24 Claims
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1. A method, comprising:
acquiring a plurality of data points representative of a corresponding plurality of positions over time of an external marker disposed on a surface of an object;
acquiring an image of a target internal to the object; and
identifying a non-linear path of movement of the target based on the plurality of data points and the image using a parameterization function to approximate the non-linear path of movement, wherein the parameterization function comprises a constrained curve that intersects a principal axis of the plurality of data points at a first intersection and at a second intersection, and the constrained curve is tangent to the principal axis at the first and second intersections, wherein the principal axis is determined using an approximation of the plurality of data points.- View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. An apparatus, comprising:
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an data storage device to store a plurality of displacement points of an external marker and a corresponding plurality of images of a target; and a processing device coupled to the data storage device, the processing device to identify a non-linear path of movement of the target using a parameterization function to approximate the non-linear path of movement, wherein the parameterization function comprises a constrained curve that intersects a principal axis of the plurality of data points at a first intersection and at a second intersection, and the constrained curve is tangent to the principal axis at the first and second intersections, wherein the principal axis is determined using an approximation of the plurality of data points. - View Dependent Claims (17, 18, 19, 20, 21)
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22. An apparatus, comprising:
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means for receiving a plurality of data points representative of a corresponding plurality of positions over time of an external marker disposed on a surface of an object; means for receiving an image of a target internal to the object; and means for reducing a number of images acquired in developing a correlation model that maps the movement of the external marker to a target location of the target, wherein reducing a number of images acquired comprises developing the correlation model that includes only one unknown model parameter, which is one sample point. - View Dependent Claims (23)
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24. A non-transitory computer readable medium having instructions thereon, which when executed by a processing device, cause the processing device to perform the following operations comprising:
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receiving a plurality of displacement points over time of an external marker attached to a body; receiving a image of a target internal to the body; and
developing a correlation model based on the plurality of displacement points and the image using a parameterization function that includes a constrained curve that intersects a principal axis of the plurality of data points at a first intersection and at a second intersection, and the constrained curve is tangent to the principal axis at the first and second intersections, wherein the correlation model maps the movement of the external marker to a target location of the target, wherein the principal axis is determined using an approximation of the plurality of data points.
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Specification