US5497777A
Expired / Lapsed
US
⏱️ 0.0 years remaining
Speckle noise filtering in ultrasound imaging
Assignee: General Electric Co
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Filing: 1994-09-23
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Granted: 1996-03-12
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Expires: 2014-09-23
Abstract
Abstract The enhancement of ultrasound images is provided through the filtering of signal dependent noise such as speckle noise by dividing the signal into selective subintervals and utilizing discrete wavelet transform and the identification and selection of those wavelet transform coefficients primarily including signal and not those primarily including signal dependent noise.
Inventors
- 👤 Aiman A. Abdel-Malek
- 👤 Max H. M. Costa
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-30 22:11
CPC Classifications
G; G01; G01S; G01S7/00; G01S7/52; G01S7/52017; G01S7/52023; G01S7/52025; G01S7/52026; G01S7/52028; G01S7/52077; G01S7/52046
Claims Analysis
Total Claims: 24
Claim 1
Independent Claim
120 words
An adaptive method for reducing signal dependent noise including speckle noise mixed with a true signal in a coherent imaging system signals such as medical ultrasound imaging signals comprising: dividing the imaging system signal into an equal number of subintervals; transforming each of said subintervals using discrete wavelet transform to provide wavelet transform coefficients; identifying for each of said transformed subintervals which of said wavelet transform coefficients come from said noise or from said true signal through the use of adaptive non-linear thresholding; selecting those wavelet transform coefficients which are identified as related to said true signal; and passing said true signal wavelet transform coefficients through an inverse discrete wavelet transform to provide an enhanced true signal with reduced noise.
Claim 2
Dependent Claim
120 words
An adaptive method for reducing signal dependent noise including speckle noise mixed with a true signal in a coherent imaging system signals such as medical ultrasound imaging signals comprising: dividing the imaging system signal into an equal number of subintervals; transforming each of said subintervals using discrete wavelet transform to provide wavelet transform coefficients; identifying for each of said transformed subintervals which of said wavelet transform coefficients come from said noise or from said true signal through the use of adaptive non-linear thresholding; selecting those wavelet transform coefficients which are identified as related to said true signal; and passing said true signal wavelet transform coefficients through an inverse discrete wavelet transform to provide an enhanced true signal with reduced noise.
Claim 3
Dependent Claim
36 words
The coherent imaging noise reduction method of claim 1 wherein said coherent imaging system is ultrasound equipment including an ultrasound transducer, and further including the additional step of producing said coherent imaging signal from said transducer.
Claim 4
Dependent Claim
23 words
The coherent imaging noise reduction method of claim 2 wherein said dividing of said imaging system signal is dividing into frequency-scale space subintervals.
Claim 5
Dependent Claim
41 words
The coherent imaging noise reduction method of claim 3 including the determination of the length of samples within a subinterval of time of said subintervals being based on the signal dynamics of said imaging system signal to provide adequate signal resolution.
Claim 6
Dependent Claim
27 words
The coherent imaging noise reduction method of claim 2 wherein said transforming of said subintervals into discrete wavelets transform domain provides wavelet localization in space and frequency.
Claim 7
Dependent Claim
69 words
The coherent imaging noise reduction method of claim 5 wherein said identification includes a display system providing a threshold level for each transformed subinterval above which each wavelet coefficient at each scale is considered as coming from said imaging system true signal, and the further step of passing to said display system only those wavelet coefficients which exceed said threshold level as wavelet coefficients which are primarily true signal.
Claim 8
Dependent Claim
54 words
The coherent imaging noise reduction method of claim 6 wherein said threshold is manually adjusted by considering the amount of wavelet coefficients due to noise which can be ignored without undue compromise of the resolution of said imaging system signal, and the additional step of zeroing out those wavelet coefficients below said threshold value.
Claim 9
Dependent Claim
40 words
The coherent imaging noise reduction method of claim 7 wherein the threshold level adjustment is manually varied while observing the video presentation of said image signal to obtain the threshold adjustment setting which provides maximum enhancement of said video presentation.
Claim 10
Dependent Claim
30 words
The coherent imaging noise reduction method of claim 6 wherein said identification is made automatic by providing threshold factor multipliers to automatically vary said threshold level for each wavelet scale.
Claim 11
Dependent Claim
33 words
The coherent imaging noise reduction method of claim 8 wherein the automatic identification is provided by varying said threshold for each of said subintervals based on wavelet coefficient energy at each wavelet scale.
Claim 12
Dependent Claim
48 words
The coherent imaging noise reduction method of claim 9 wherein said varying of said threshold level includes automatically searching the energy of the applicable subinterval at each scale for maximum and minimum energy levels within a preselected window and selecting a value which enhances said imaging system signal.
Claim 13
Dependent Claim
27 words
The coherent imaging noise reduction method of claim 6 wherein said wavelet components which pass said threshold level are inverse transformed to produce a speckle reduced image.
Claim 14
Dependent Claim
20 words
The coherent imaging noise reduction method of claim 12 wherein the inverse transformed wavelets are displayed on a visual display.
Claim 15
Dependent Claim
26 words
The coherent imaging noise reduction method of claim 6 wherein the wavelet transform includes selective time frequency representation to selectively enhance segments of said imaging signals.
Claim 16
Dependent Claim
29 words
The coherent imaging noise reduction method of claim 14 wherein said threshold level is provided based on wavelet coefficient energy for each scale and for each of said subintervals.
Claim 17
Dependent Claim
23 words
The coherent imaging noise reduction method of claim 15 including the additional step of zeroing out those wavelet coefficients below said threshold level.
Claim 18
Dependent Claim
41 words
The coherent imaging noise reduction method of claim 16 wherein the wavelet transform includes 2 sets of a series of parallel compute blocks and processing said subintervals on a vector basis to provide a hierarchical frequency scale-space representation of each wavelet.
Claim 19
Dependent Claim
37 words
The coherent imaging noise reduction method of claim 17 wherein said threshold includes statistical information for various selected scales, and the additional step of applying said statistical information to said threshold in response to the selected scale.
Claim 20
Dependent Claim
29 words
The coherent imaging noise reduction method of claim 18 including the additional step of providing said adaptive threshold based on the maximum and minimum energy of said wavelet coefficients.
Claim 21
Dependent Claim
23 words
The coherent imaging noise reduction method of claim 19 wherein said wavelets are selected from the group consisting of Daubechies and Haar wavelets.
Claim 22
Dependent Claim
49 words
The coherent imaging noise reduction method of claim 6 wherein said ultrasound equipment includes the production of a range theta imaging signal and a scan converter for converting said range theta imaging signal to display coordinates, and providing the noise reduced signal to the input of said scan converter.
Claim 23
Dependent Claim
66 words
The coherent imaging noise reduction method of claim 6 wherein said ultrasound equipment includes the production of a range theta imaging signal and a scan converter for converting said range theta imaging signal to display coordinates, and enhancing the true signal content of the output signal of said scan converter to provide a reduced noise signal and providing said reduced noise signal to said display system.
Claim 24
Dependent Claim
22 words
The coherent imaging noise reduction method of claim 22 wherein said noise reduction method is retrofitted into an existing coherent imaging system.
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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) | 1999-03-12 | 1999-09-11 | 2000-03-12 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2003-03-12 | 2003-09-11 | 2004-03-12 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2007-03-12 | 2007-09-11 | 2008-03-12 | $7700.00 | Window Closed / Lapsed |