Method of and system for adaptive scatter correction in multi-energy computed tomography
First Claim
1. A method of adaptive scatter correction in the absence of scatter detectors for the input projection data in multi-energy X-ray computed tomography, wherein the input projection data include a set of low energy projections and a set of high energy projections acquired by scanning a set of objects using at least two x-ray spectra, wherein a low-pass filter of variable size is provided, comprising:
- A. Estimating the filter size of the low pass filter as a function of the input projection data, including;
A1. Thresholding at least one set of projections into binary projections;
A2. Filtering the binary projections;
A3. Finding maximum of the filtered binary projections;
A4. Calculating the filter size from the maximum found in A3;
B. Computing amounts of scatter in the input projection data using the low-pass filter with the calculated filter size from A4;
C. Correcting the input projection data for the scatter using the amounts of scatter computed from B.
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Abstract
Method of and system for adaptive scatter correction in the absence of scatter detectors in multi-energy computed tomography are provided, wherein input projection data acquired using at least two x-ray spectra for scanned objects may include a set of low energy projections and a set of high energy projections; wherein a low-pass filter of variable size is provided; the method comprises estimating the size of the low-pass filter; computing amounts of scatter; and correcting both sets of projections for scatter. The estimation of low-pass filter size comprises thresholding high energy projections into binary projections; filtering the binary projections; finding the maximum of the filtered binary projections; calculating the low-pass filter size from the found maximum. The computation of amounts of scatter comprises exponentiating input projections; low-pass filtering the exponentiated projections with the estimated filter size; computing the amounts of scatter from the filtered projections.
93 Citations
14 Claims
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1. A method of adaptive scatter correction in the absence of scatter detectors for the input projection data in multi-energy X-ray computed tomography, wherein the input projection data include a set of low energy projections and a set of high energy projections acquired by scanning a set of objects using at least two x-ray spectra, wherein a low-pass filter of variable size is provided, comprising:
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A. Estimating the filter size of the low pass filter as a function of the input projection data, including; A1. Thresholding at least one set of projections into binary projections; A2. Filtering the binary projections; A3. Finding maximum of the filtered binary projections; A4. Calculating the filter size from the maximum found in A3; B. Computing amounts of scatter in the input projection data using the low-pass filter with the calculated filter size from A4; C. Correcting the input projection data for the scatter using the amounts of scatter computed from B. - View Dependent Claims (2, 3, 4, 5)
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6. A method of adaptive scatter correction in the absence of scatter detectors for the input projection data in multi-energy X-ray commuted tomography, wherein the input projection data include a set of low energy projections and a set of high energy projections acquired by scanning a set of objects using at least two x-ray spectra, wherein a low-pass filter of variable size is provided, comprising:
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A. Estimating the filter size of the low pass filter as a function of the input projection data; B. Computing amounts of scatter in the input projection data using the low-pass filter with the estimated filter size from A, including; B1. Exponentiating both sets of projections so as to provide exponentiated projections; B2. Filtering the exponentiated projections with the estimated filter size; B3. Computing amounts of scatter from the filtered projections; and C. Correcting the input projection data for the scatter using the amounts of scatter computed from B3. - View Dependent Claims (7)
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8. A system for adaptive scatter correction in the absence of scatter detectors for the input projection data in multi-energy X-ray computed tomography, wherein the input projection data may include a set of low energy projections and a set of high energy projections acquired by scanning a set of objects using at least two x-ray spectra, wherein a low-pass filter of variable size is provided, comprising:
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A. A subsystem constructed and arranged so as to estimate the filter size of the low-pass filter as a function of the input projection data, including; A1. A module constructed and arranged so as to threshold one set of projections into binary projections; A2. A module constructed and arranged so as to filter the binary projections; A3. A module constructed and arranged so as to find maximum of the filtered binary projections; A4. A module constructed and arranged so as to calculate the filter size from the maximum found by the module of A3. B. A subsystem constructed and arranged so as to compute amounts of scatter in the input projection data using the low-pass filter with the calculated filter size from the module of A4; C. A subsystem constructed and arranged so as to correct the input projection data for scatter using the amounts of scatter computed from the subsystem of B. - View Dependent Claims (9, 10, 11, 12)
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13. A system for adaptive scatter correction in the absence of scatter dotectors for the input projection data in multi-energy X-ray computed tomography, wherein the input projection data may include a set of low energy projections and a set of high energy projections acquired by scamming a set of objects using at least two x-ray spectra, wherein a low-pass filter of variable size is provided, comprising:
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A.A subsystem constructed and arranged so as to estimate the filter size of the low-pass filter as a function of the input projection data; B. Computing amounts of scatter in the input projection data using the low-pass filter with the estimated filter size from the subsystem of A, including; B1. A module constructed and arranged so as to exponentiate both sets of input projection data; B2. A module constructed and arranged so as to filter the exponentiated projections with the estimated filter size; B3. A module constructed and arranged so as to compute amounts of scatter from the filtered projection data; and C. A subsystem constructed and arranged so as to correct the input projection data for scatter using the amounts of scatter computed by the module of B3. - View Dependent Claims (14)
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Specification