US4674045A
Expired / Lapsed
US
⏱️ 0.0 years remaining
Filter for data processing
Assignee: Philips Nuclear Medicine Inc
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Filing: 1984-12-31
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Granted: 1987-06-16
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Expires: 2004-12-31
Abstract
Abstract An imaging method and apparatus having a new and improved data filter. In one application of the invention computed tomography number inaccuracies are avoided by use of a new filter function derived from discrete points of a truncated spatial domain convolution filter. The points from the truncated convolution filter are fourier transformed to yield a ramp filter with ripple in the spatial frequency domain. Data from a CT scan is filtered with this new filter function and back projected to produce images that do not exhibit CT number inaccuracies.
Inventors
- 👤 Michael M. Kerber
- 👤 Carl J. Brunnett
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-28 09:58
CPC Classifications
G; G06; G06T; G06T12/00; G06T12/20; G06T5/00; G06T5/10; G06T5/20; G06T2207/00; G06T2207/10; G06T2207/10072; G06T2207/10081; G06T2207/20; G06T2207/20048; G06T2207/20056; G06T2211/00; G06T2211/40; G06T2211/421
Claims Analysis
Total Claims: 14
Claim 1
Independent Claim
117 words
A method in reconstruction imaging comprising the steps of: obtaining data from a subject cross-section of interest; converting said data in accordance with a reconstruction algorithm to convert said data from a spatial to a spatial frequency domain; filtering data that has been converted to the spatial frequency domain with a spatial frequency domain filter having an amplitude that increases non linearly with frequency and deviates above and below a linear ramp filter function with deviations from the linear ramp filter function that diminish with frequency; and converting filtered data back to a spatial domain and back projecting said data over a subject region of interest to provide a mapping of structure within the cross-section of interest.
Claim 2
Independent Claim
117 words
A method in reconstruction imaging comprising the steps of: obtaining data from a subject cross-section of interest; converting said data in accordance with a reconstruction algorithm to convert said data from a spatial to a spatial frequency domain; filtering data that has been converted to the spatial frequency domain with a spatial frequency domain filter having an amplitude that increases non linearly with frequency and deviates above and below a linear ramp filter function with deviations from the linear ramp filter function that diminish with frequency; and converting filtered data back to a spatial domain and back projecting said data over a subject region of interest to provide a mapping of structure within the cross-section of interest.
Claim 3
Dependent Claim
144 words
In reconstruction imaging where data from a subject is sensed a number of times to form a data set, a method for processing said data prior to back projection of said data to form an image comprising the steps of performing an fourier transform on said data to convert said data from a spatial to a spatial frequency domain, filtering said spatial frequency domain data with a spatial frequency domain filter function, and performing an inverse fourier transform on said filtered data to re-convert said data into the spatial domain, said spatial frequency domain filter function derived from a spatial domain convolution filter by fourier transforming discrete points of said convolution filter to produce a spatial frequency domain filter function that oscillates above and below a linear ramp function with deviations from the linear ramp function decreasing with increasing frequency in a damped manner.
Claim 4
Dependent Claim
144 words
In reconstruction imaging where data from a subject is sensed a number of times to form a data set, a method for processing said data prior to back projection of said data to form an image comprising the steps of performing an fourier transform on said data to convert said data from a spatial to a spatial frequency domain, filtering said spatial frequency domain data with a spatial frequency domain filter function, and performing an inverse fourier transform on said filtered data to re-convert said data into the spatial domain, said spatial frequency domain filter function derived from a spatial domain convolution filter by fourier transforming discrete points of said convolution filter to produce a spatial frequency domain filter function that oscillates above and below a linear ramp function with deviations from the linear ramp function decreasing with increasing frequency in a damped manner.
Claim 5
Dependent Claim
23 words
The method of claim 2 where said spatial frequency domain filter comprises a real component of said fourier transformed spatial domain convolution filter.
Claim 6
Independent Claim
129 words
A method in computed tomography imaging comprising the steps of: obtaining tissue attenuation data from radiation passing through a subject cross-section of interest; modifying said attenuation data in accordance with a reconstruction algorithm to convert said attenuation data from a spatial to a spatial frequency domain; filtering data converted to the spatial frequency domain with a spatial frequency domain filter that comprises a non linear function increasing from a non zero value at zero frequency and that deviates above and below a linear ramp function in a damped oscillatory manner so that deviations from the linear ramp function decrease with higher frequencies; and converting said filtered data back to a spatial domain and back projecting said data over a subject region of interest to provide a tissue attenuation mapping.
Claim 7
Independent Claim
129 words
A method in computed tomography imaging comprising the steps of: obtaining tissue attenuation data from radiation passing through a subject cross-section of interest; modifying said attenuation data in accordance with a reconstruction algorithm to convert said attenuation data from a spatial to a spatial frequency domain; filtering data converted to the spatial frequency domain with a spatial frequency domain filter that comprises a non linear function increasing from a non zero value at zero frequency and that deviates above and below a linear ramp function in a damped oscillatory manner so that deviations from the linear ramp function decrease with higher frequencies; and converting said filtered data back to a spatial domain and back projecting said data over a subject region of interest to provide a tissue attenuation mapping.
Claim 8
Dependent Claim
134 words
In computed tomography imaging where radiation from a source is caused to impinge upon a patient from a number of directions, a method for processing attenuation data prior to back projection of said data to form an attenuation mapping comprising the steps of performing a fourier transform on said attenuation data to convert said data from a spatial to a spatial frequency domain, filtering said spatial frequency domain data with a spatial frequency domain filter function, and performing an inverse fourier transform on said filtered data to re-convert said data into the spatial domain, said filter derived by fourier transforming discrete points of a spatial domain convolution filter to produce a nonlinear spatial frequency domain filter function that increases with frequency and oscillates above and below a linear ramp filter as said frequency increases.
Claim 9
Dependent Claim
134 words
In computed tomography imaging where radiation from a source is caused to impinge upon a patient from a number of directions, a method for processing attenuation data prior to back projection of said data to form an attenuation mapping comprising the steps of performing a fourier transform on said attenuation data to convert said data from a spatial to a spatial frequency domain, filtering said spatial frequency domain data with a spatial frequency domain filter function, and performing an inverse fourier transform on said filtered data to re-convert said data into the spatial domain, said filter derived by fourier transforming discrete points of a spatial domain convolution filter to produce a nonlinear spatial frequency domain filter function that increases with frequency and oscillates above and below a linear ramp filter as said frequency increases.
Claim 10
Dependent Claim
23 words
The method of claim 5 where said spatial frequency domain filter comprises a real component of said fourier transformed spatial domain convolution filter.
Claim 11
Dependent Claim
192 words
Computerized tomography scanning apparatus for imaging a cross-sectional slice of a subject comprising: an array of closely spaced radiation sensing detectors; a radiation source mounted to direct radiation through said subject to said detector array from a number of positions; means for storing radiation intensity data after the radiation has been attenuated by said subject and sensed by the detector array; means for transforming the intensity data from the detectors to create a reconstructed computed tomography image and for presenting said image in a form for discerning attenuation variations in the cross-sectional slice; said means for transforming including (i) means for fourier transforming said intensity data from a spatial to a spatial frequency domain; (ii) means for filtering said transformed data with a ramp filter function with ripple that increases from a non-zero value at zero frequency and where deviations between a linear ramp function and the ramp filter function with ripple are damped with increasing frequency; (iii) means for performing an inverse fourier transform on data that has been filtered by the ramp filter function with ripple and (iv) means for backprojecting data to create an image of the cross-sectional slice.
Claim 12
Dependent Claim
192 words
Computerized tomography scanning apparatus for imaging a cross-sectional slice of a subject comprising: an array of closely spaced radiation sensing detectors; a radiation source mounted to direct radiation through said subject to said detector array from a number of positions; means for storing radiation intensity data after the radiation has been attenuated by said subject and sensed by the detector array; means for transforming the intensity data from the detectors to create a reconstructed computed tomography image and for presenting said image in a form for discerning attenuation variations in the cross-sectional slice; said means for transforming including (i) means for fourier transforming said intensity data from a spatial to a spatial frequency domain; (ii) means for filtering said transformed data with a ramp filter function with ripple that increases from a non-zero value at zero frequency and where deviations between a linear ramp function and the ramp filter function with ripple are damped with increasing frequency; (iii) means for performing an inverse fourier transform on data that has been filtered by the ramp filter function with ripple and (iv) means for backprojecting data to create an image of the cross-sectional slice.
Claim 13
Dependent Claim
43 words
The apparatus of claim 7 where the means for transforming includes a computer having an array processor for sequentially accessing attenuation data that has been fourier transformed into a spatial frequency domain and filtering said data with the ramp filter with ripple function.
Claim 14
Dependent Claim
23 words
The apparatus of claim 8 where the array of detectors is stationary with respect to said subject and source orbits around the subject.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1990-06-15 | 1990-12-15 | 1991-06-16 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 1994-06-15 | 1994-12-15 | 1995-06-16 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 1998-06-15 | 1998-12-15 | 1999-06-16 | $7700.00 | Window Closed / Lapsed |