Ultrasonic doppler flow imaging method for eliminating motion artifacts

Claim 2

In an ultrasonic diagnostic system, including means for receiving Doppler information signals having motion components due to fluid flow and/or image motion, and means for formatting said Doppler information signals for display, a method for removing effects of image motion from the information to be displayed comprising the steps of: demodulating said Doppler information signals to provide Doppler signal samples containing a fluid motion component and an image motion component; estimating an image motion vector by comparing successive image frames; deriving a center Doppler frequency value for said image motion component utilizing said estimated image motion vector; and deriving a fluid motion vector from said derived center Doppler frequency value.

Claim 3

The method of claim 1, wherein the step of deriving a center Doppler frequency value for said image motion component further comprises the step of deriving a relative Doppler frequency value between a fluid motion Doppler frequency component and an image motion Doppler frequency component.

Claim 4

The method of claim 1, wherein the step of deriving a fluid motion vector further comprises the step of filtering the Doppler signal samples utilizing the derived center Doppler frequency value.

Claim 5

The method of claim 1, wherein said step of estimating an image motion vector further comprises the steps of: dividing a current image frame into a plurality of sub-image regions; and estimating local motion vectors of the respective sub-image regions between the current image frame and a previous image frame.

Claim 6

In ultrasonic diagnostic system, including means for receiving Doppler information signals having motion components due to fluid flow and/or image motion, and means for formatting said Doppler information signals for display, a method for removing effects of image motion from the information to be displayed comprising the steps of: demodulating said Doppler information signals to provide Doppler signal samples containing a fluid motion component and an image motion component; dividing a current image frame into a plurality of sub-image regions; calculating an initial estimation of the local motion vectors using a fast adaptive coarse/fine minimum-sum-absolute-difference (MSAD) search; deriving a final estimation of the local motion vectors from the initial estimation of the local motion vectors by use of a fuzzy logic technique; deriving a center doppler frequency value for said image motion component utilizing said estimated image motion vector; and filtering the Doppler signal samples utilizing the derived center Doppler frequency value.

Claim 7

In ultrasonic diagnostic system, including means for receiving Doppler information signals having motion components due to fluid flow and/or image motion, and means for formatting said Doppler information signals for display, a method for removing effects of image motion from the information to be displayed comprising the steps of: demodulating said Doppler information signals to provide Doppler signal samples containing a fluid motion component and an image motion component; dividing a current image frame into a plurality of sub-image regions; calculating an initial estimation of the local motion vectors using a fast adaptive coarse/fine minimum-sum-absolute-difference (MSAD) search; deriving a final estimation of the local motion vectors from the initial estimation of the local motion vectors by use of a fuzzy logic technique; deriving a center doppler frequency value for said image motion component utilizing said estimated image motion vector; and filtering the Doppler signal samples utilizing the derived center Doppler frequency value.

Claim 8

The method of claim 5, wherein the step of deriving a final estimation further comprises the step of defining a first quality factor of the MSAD by measuring the difference between the value of MSAD and mean sum-absolute-difference (SAD).

Claim 9

The method of claim 6, wherein the step of deriving a final estimation further comprises the step of defining a second quality factor of MSAD by measuring deviation of the initial estimation of the local motion vector from a motion history vector.

Claim 10

The method of claim 7, wherein the step of deriving a final estimation further comprises the step of defining membership functions for the first and second quality factors.

Claim 11

The method of claim 8, wherein the step of deriving a final estimation further comprises the step of determining a membership value for the first and second quality factors.

Claim 12

The method of claim 9, wherein the step of deriving a final estimation further comprises the step of combining the membership values for the first and second quality factors in accordance with predefined fuzzy rules to generate an output value.

Claim 13

An ultrasonic diagnostic system, comprising: means for receiving information signals having velocity components including fluid flow through a subject and/or image motion; means for demodulating said information signals to provide Doppler signal samples containing a fluid motion component and an image motion component; means for estimating an image motion vector by comparing successive image frames; means for deriving a center Doppler frequency value of said image motion component utilizing said estimated image motion vector; means for deriving a fluid motion vector from said derived center Doppler frequency value; and means for discriminating said image motion component from said information signals utilizing said fluid motion vector.

Claim 14

An ultrasonic diagnostic system, comprising: means for receiving information signals having velocity components including fluid flow through a subject and/or image motion; means for demodulating said information signals to provide Doppler signal samples containing a fluid motion component and an image motion component; means for estimating an image motion vector by comparing successive image frames; means for deriving a center Doppler frequency value of said image motion component utilizing said estimated image motion vector; means for deriving a fluid motion vector from said derived center Doppler frequency value; and means for discriminating said image motion component from said information signals utilizing said fluid motion vector.

Claim 15

The system of claim 11, wherein said means for estimating an image motion vector further comprises: means for dividing a current image frame into a plurality of sub-image regions; and means for estimating local motion vectors of the respective sub-image regions between the current image frame and a previous image frame.

Claim 16

An ultrasonic diagnostic system, comprising: means for receiving information signals having velocity components including fluid flow through a subject and/or image motion; means for demodulating said information signals to provide Doppler signal samples containing a fluid motion component and an image motion component; means for dividing a current image frame into a plurality of sub-image regions; means for calculating an initial estimation of the local motion vectors using a fast adaptive coarse/fine minimum-sum-absolute-difference (MSAD) search; means for deriving a final estimation of the local motion vectors from the initial estimation of the local motion vectors by use of a fuzzy logic technique; means for deriving a center Doppler frequency value of said image motion component utilizing said estimated image motion vector; means for deriving a fluid motion vector from said derived center Doppler frequency value; and means for discriminating said image motion component from said information signals utilizing said fluid motion vector.

Claim 17

An ultrasonic diagnostic system, comprising: means for receiving information signals having velocity components including fluid flow through a subject and/or image motion; means for demodulating said information signals to provide Doppler signal samples containing a fluid motion component and an image motion component; means for dividing a current image frame into a plurality of sub-image regions; means for calculating an initial estimation of the local motion vectors using a fast adaptive coarse/fine minimum-sum-absolute-difference (MSAD) search; means for deriving a final estimation of the local motion vectors from the initial estimation of the local motion vectors by use of a fuzzy logic technique; means for deriving a center Doppler frequency value of said image motion component utilizing said estimated image motion vector; means for deriving a fluid motion vector from said derived center Doppler frequency value; and means for discriminating said image motion component from said information signals utilizing said fluid motion vector.

Claim 18

The system of claim 13, wherein said means for deriving a final estimation further comprises a first quality factor of the MSAD derived by measuring the difference between the value of MSAD and mean sum-absolute-difference (SAD).

Claim 19

The system of claim 14, wherein said means for deriving a final estimation further comprises a second quality factor of MSAD derived by measuring deviation of the initial estimation of the local motion vector from a motion history vector.

Claim 20

The system of claim 11, wherein said means for deriving a fluid motion vector further comprises means for filtering the Doppler signal samples utilizing the derived center Doppler frequency value as a reference.

Claim 21

The system of claim 11, wherein said means for deriving a center Doppler frequency value for said image motion component further comprises means for deriving a relative Doppler frequency value between said fluid motion Doppler frequency component and said image motion Doppler frequency component.

Claim 22

An ultrasonic signal processing system, comprising: an ultrasonic receiver providing electrical signals representative of consecutive image frames, said information signals further comprising Doppler frequency components due to fluid flow and/or image motion; means for estimating an image motion vector from a comparison of said consecutive image frames; a fluid flow processor coupled to said transducer and comprising means for deriving a center frequency value of said image motion frequency component utilizing said estimated image motion vector, means for deriving a fluid motion vector from said derived center frequency value, and means for discriminating said image motion frequency component from said fluid flow frequency component utilizing said derived fluid motion vector; and means for formatting said electrical signals for display of said consecutive image frames including an indication of fluid flow velocity.

Claim 23

An ultrasonic signal processing system, comprising: an ultrasonic receiver providing electrical signals representative of consecutive image frames, said information signals further comprising Doppler frequency components due to fluid flow and/or image motion; means for estimating an image motion vector from a comparison of said consecutive image frames; a fluid flow processor coupled to said transducer and comprising means for deriving a center frequency value of said image motion frequency component utilizing said estimated image motion vector, means for deriving a fluid motion vector from said derived center frequency value, and means for discriminating said image motion frequency component from said fluid flow frequency component utilizing said derived fluid motion vector; and means for formatting said electrical signals for display of said consecutive image frames including an indication of fluid flow velocity.

Claim 24

The system of claim 18, wherein said means for deriving a fluid motion vector further comprises means for filtering the signals utilizing the derived center frequency value.

Claim 25

The system of claim 18, wherein said means for deriving a center frequency value for said image motion frequency component further comprises means for deriving a relative frequency value between said fluid motion frequency component and said image motion frequency component.