Method of and system for destreaking the photoelectric image in multi-energy computed tomography
First Claim
1. A method of destreaking photoelectric images reconstructed from a set of three-dimensional photoelectric projection data points obtained from a two-dimensional detector array at multiple view angles in multi-energy X-ray computed tomography, wherein a neighboring scheme is provided, for each photoelectric projection data point, the method comprising:
- A. Computing the mean and the standard deviation of the neighbors defined by the neighboring scheme;
B. Calculating an upper limit and a lower limit from the computed mean and standard deviation as a function of a pre-determined constant, including;
B1. Calculating a product of the standard deviation and the pre-determined constant;
B2. Calculating an upper limit as a function of adding the product calculated in Step B1 to the mean; and
B3. Calculating the lower limit as a function of subtracting the product calculated in Step B1 from the mean;
C. Detecting if said photoelectric projection data point is an outlier using the calculated upper and lower limits; and
D. Replacing the detected outliers with a replacement data point calculated as a function of said mean and standard deviation of said neighboring data points corresponding to the detected outlier.
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Abstract
A method of and a system for destreaking the photoelectric image in multi-energy computed tomography are provided, wherein the photoelectric projections are generated from the projection data acquired using at least two x-ray spectra for scanned objects; wherein a neighboring scheme is provided; the method comprises computing the statistics including mean and standard deviation using the neighboring scheme; calculating an upper limit and a lower limit from the computed statistics; detecting outliers in the photoelectric projections using the upper and lower limits; and replacing values of outliers using the upper or lower limit.
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Citations
6 Claims
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1. A method of destreaking photoelectric images reconstructed from a set of three-dimensional photoelectric projection data points obtained from a two-dimensional detector array at multiple view angles in multi-energy X-ray computed tomography, wherein a neighboring scheme is provided, for each photoelectric projection data point, the method comprising:
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A. Computing the mean and the standard deviation of the neighbors defined by the neighboring scheme; B. Calculating an upper limit and a lower limit from the computed mean and standard deviation as a function of a pre-determined constant, including; B1. Calculating a product of the standard deviation and the pre-determined constant; B2. Calculating an upper limit as a function of adding the product calculated in Step B1 to the mean; and B3. Calculating the lower limit as a function of subtracting the product calculated in Step B1 from the mean; C. Detecting if said photoelectric projection data point is an outlier using the calculated upper and lower limits; and D. Replacing the detected outliers with a replacement data point calculated as a function of said mean and standard deviation of said neighboring data points corresponding to the detected outlier. - View Dependent Claims (2, 3)
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4. A system for destreaking photoelectric images reconstructed from a set of three-dimensional photoelectric projection data points obtained from a two-dimensional detector array at multiple view angles in multi-energy X-ray computed tomography, wherein a neighboring scheme is provided, the system comprising:
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A. A computation subsystem constructed and arranged so as to compute the mean and the standard deviation of the neighbors defined by the neighboring scheme; B. A calculation subsystem constructed and arranged so as to calculate an upper limit and a lower limit from the computed mean and standard deviation as a function of a pre-determined constant, the calculation subsystem being constructed and arranged so as to; B1. Calculate a product of the standard deviation and the pre-determined constant; B2. Calculate the upper limit by adding the product calculated in Step B1 to the mean; and B3. Calculate the lower limit by subtracting the product calculated in Step B1 from the mean. C. A detection subsystem constructed and arranged so as to detect whether said photoelectric projection data point is an outlier using the calculated upper and lower limits; and D. A replacement subsystem is constructed and arranged so as to replace the detected outlier with a replacement projection data point calculated as a function of the mean and standard deviation of said neighboring data points corresponding to the detected outlier. - View Dependent Claims (5, 6)
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Specification