US4602348A
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Deconvolution method and apparatus
Assignee: Individual
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Filing: 1982-12-20
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Granted: 1986-07-22
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Expires: 2002-12-20
Abstract
Abstract A combined experimental and analytical method and apparatus for determining radioisotope tissue concentrations from a series of two-dimensional scans is proposed. Each two-dimensional scan is identified as the output from the unknown three-dimensional radioisotope tissue distribution as appropriately modified or convoluted by a series of independently determined depth-dependent point source response functions of the system. A direct non-local method of iterative deconvolution which is relatively insensitive to random noise is used to determine the unknown tissue concentration from the measured scan data and the known point source response characteristics of the system. The series of depth-dependent two-dimensional scans can be parallel to each other or at a series of arbitrary angles of orientation to the unknown source distribution.
Inventors
- 👤 Hiram E. Hart
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-30 17:55
CPC Classifications
G; G01; G01T; G01T1/00; G01T1/29; G01T1/2914; G01T1/2985
Claims Analysis
Total Claims: 4
Claim 1
Independent Claim
228 words
A deconvolution method of determining by operation of a deconvolution apparatus the source distribution elements of a source distribution using a plurality of measured data elements obtained by a measuring system having known response characteristics, comprising the steps of: (a) making an initial estimate for each source distribution element from the measured data elements; (b) calculating a contribution to each data element from each previously estimated source distribution element; (c) determining an individual correction ratio for each data element by dividing each respective measured data element by the sum of the calculated contribution to that data element; (d) determining weighting factors for each individual correction ratio as a function of each previously estimated source distribution element; (e) determining an overall correction ratio for each source distribution element from the individual correction ratios determined in step (c) and from the weighting factors determined in step (d); (f) making a subsequent estimate for each source distribution element from the overall correction ratio determined in step (e); and (g) repeating steps (b), (c), (d), (e) and (f) for each subsequent estimate for a predetermined number of iterations, and determining, fong steps (b), (c), (d), (e) and (f) for each subsequent estimate for a predetermined number of iterations, and determining, for each iteration, updated weighting factors and updated overall correction ratios, whereby the source distribution is reconstructed from the measured data elements.
Claim 2
Dependent Claim
228 words
A deconvolution method of determining by operation of a deconvolution apparatus the source distribution elements of a source distribution using a plurality of measured data elements obtained by a measuring system having known response characteristics, comprising the steps of: (a) making an initial estimate for each source distribution element from the measured data elements; (b) calculating a contribution to each data element from each previously estimated source distribution element; (c) determining an individual correction ratio for each data element by dividing each respective measured data element by the sum of the calculated contribution to that data element; (d) determining weighting factors for each individual correction ratio as a function of each previously estimated source distribution element; (e) determining an overall correction ratio for each source distribution element from the individual correction ratios determined in step (c) and from the weighting factors determined in step (d); (f) making a subsequent estimate for each source distribution element from the overall correction ratio determined in step (e); and (g) repeating steps (b), (c), (d), (e) and (f) for each subsequent estimate for a predetermined number of iterations, and determining, fong steps (b), (c), (d), (e) and (f) for each subsequent estimate for a predetermined number of iterations, and determining, for each iteration, updated weighting factors and updated overall correction ratios, whereby the source distribution is reconstructed from the measured data elements.
Claim 3
Dependent Claim
202 words
A deconvolution apparatus for determining the source distribution elements of a source distribution using a plurality of measured data elements obtained by a measuring system having known response characteristics, comprising: (a) means for making an initial estimate for each source distribution element from the measured data element; (b) means for calculating a contribution to each data element from each previously estimated source distribution element; (c) means for determining an individual correction ratio for each data element by dividing each respective measured data element by the sum of the calculated contributions to that data element; (d) means for determining weighting factors for each individual corrections ratio as a function of each previously estimated source distribution element; (e) means for determining an overall correction ratio for each source distribution element from the individual correction ratios and from the weighting factors; (f) means for making a subsequent estimate for each source distribution element from the overall correction ratio; and (g) means for repeating the operation of the aforementioned means for each subsequent estimate for a predetermined number of iterations, including means for determining, for each iteration, updated weighting factors and updated overall correction ratios, whereby the source distribution is reconstructed from the measured data elements.
Claim 4
Dependent Claim
202 words
A deconvolution apparatus for determining the source distribution elements of a source distribution using a plurality of measured data elements obtained by a measuring system having known response characteristics, comprising: (a) means for making an initial estimate for each source distribution element from the measured data element; (b) means for calculating a contribution to each data element from each previously estimated source distribution element; (c) means for determining an individual correction ratio for each data element by dividing each respective measured data element by the sum of the calculated contributions to that data element; (d) means for determining weighting factors for each individual corrections ratio as a function of each previously estimated source distribution element; (e) means for determining an overall correction ratio for each source distribution element from the individual correction ratios and from the weighting factors; (f) means for making a subsequent estimate for each source distribution element from the overall correction ratio; and (g) means for repeating the operation of the aforementioned means for each subsequent estimate for a predetermined number of iterations, including means for determining, for each iteration, updated weighting factors and updated overall correction ratios, whereby the source distribution is reconstructed from the measured data elements.
References Cited (Backward Citations)
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