Medical imaging system for accurate measurement evaluation of changes in a target lesion
First Claim
1. An automated method for determining a bound on the error of a size change measurement, the method comprising the steps of:
- scanning a body part with an imaging system to produce a first set of imaging data;
identifying at least one target lesion in the imaging data;
rescanning the body part so as to produce a second set of imaging data;
identifying the at least one target lesion in the second set of imaging data;
measuring the at least one target lesion as imaged in both the first set of imaging data and the second set of imaging data to determine a first apparent target lesion size corresponding to the first set of imaging data and a second apparent target lesion size corresponding to the second set of imaging data;
estimating a change in size by comparing the first and second apparent lesion sizes; and
estimating a variance where the variance includes a set of variance measurements from a plurality of factors selected from the group consisting of nodule form, scanner parameters, patient factors, algorithm factors, operator factors, nodule tissue, scanner point spread function, patient motion, features of the at least one target lesion, features of adjacent structures, features of the imaging system including its inherent resolution, and noise present in the image so as to determine a bound on the change in size measurement.
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Accused Products
Abstract
A body part is scanned to produce a first set of imaging data. A target lesion in the imaging data is identified. The body part is rescanned at a subsequent time so as to produce a second set of imaging data. The target lesion is identified in the second set of imaging data and the size of the target lesion is measured in the first and second sets of imaging data to determine two apparent image volumes corresponding to the first and second sets of imaging data. A change in size is estimated by comparing the first and second apparent lesion sizes. A variance on the change in size is estimated so as to determine a bound on the change in size measurement.
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Citations
21 Claims
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1. An automated method for determining a bound on the error of a size change measurement, the method comprising the steps of:
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scanning a body part with an imaging system to produce a first set of imaging data; identifying at least one target lesion in the imaging data; rescanning the body part so as to produce a second set of imaging data; identifying the at least one target lesion in the second set of imaging data; measuring the at least one target lesion as imaged in both the first set of imaging data and the second set of imaging data to determine a first apparent target lesion size corresponding to the first set of imaging data and a second apparent target lesion size corresponding to the second set of imaging data;
estimating a change in size by comparing the first and second apparent lesion sizes; andestimating a variance where the variance includes a set of variance measurements from a plurality of factors selected from the group consisting of nodule form, scanner parameters, patient factors, algorithm factors, operator factors, nodule tissue, scanner point spread function, patient motion, features of the at least one target lesion, features of adjacent structures, features of the imaging system including its inherent resolution, and noise present in the image so as to determine a bound on the change in size measurement. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. An automated method for determining a bound on the error of a size change measurement, the method comprising the steps of:
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scanning a body part with an imaging system to produce a first set of imaging data; identifying a plurality of target lesions in the imaging data; rescanning the body part so as to produce a second set of imaging data; identifying the plurality of target lesions in the second set of imaging data; measuring the plurality of target lesions as imaged in both the first set of imaging data and the second set of imaging data to determine a first apparent target lesion value corresponding to the first set of imaging data and a second apparent target lesion value corresponding to the second set of imaging data; estimating a change in target lesion value by comparing the first and second apparent lesion values; and estimating a variance so as to determine a bound on the change in value measurement where the variance includes a set of variance measurements from a plurality of factors selected from the group consisting of nodule form, scanner parameters, patient factors, algorithm factors, operator factors, nodule tissue, scanner point spread function, patient motion, features of the at least one target lesion, features of adjacent structures, features of the imaging system including its inherent resolution, and noise present in the image. - View Dependent Claims (21)
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Specification