Method and apparatus for null subtraction ultrasound imaging
View Patent ↗Aspects of the subject disclosure may include, for example, applying different apodization weights for ultrasound echoes to generate a plurality of images of a target where one of the apodization weights has a zero mean value across an aperture of a transducer array and generating a null subtracted image of the target by combining the plurality of images. Other embodiments are disclosed.
1. A method, comprising:
emitting, by a system including a processor, ultrasonic waves from a transducer array directed to a target;
receiving, by the system at the transducer array, ultrasound echoes;
applying, by the system, a first apodization weight for the ultrasound echoes to generate a first image, the first apodization weight having a zero mean value across an aperture of the transducer array;
applying, by the system, a second apodization weight for the ultrasound echoes to generate a second image, the second apodization weight having a non-zero mean value across the aperture of the transducer array;
generating, by the system, a third image based on a transposed second image that is generated by transposing the second apodization weight; and
combining, by the system, the first, second and third images to generate a null subtracted image of the target.
2. The method of claim 1 , further comprising presenting the null subtracted image at a display device.
3. The method of claim 1 , wherein the combining of the first, second and third images comprises subtracting the first image from a sum of the second and third images.
4. The method of claim 3 , wherein the subtracting of the first image from a sum of the second and third images includes beamforming, envelope detection and normalizing the first, second and third images.
5. The method of claim 1 , further comprising performing beamforming, envelope detection and normalizing on at least one of the first, second or third images.
6. The method of claim 1 , wherein reconstruction of the first image, the second image, the third image, or a combination thereof is based on f-k migration using an exploding reflector model.
7. The method of claim 1 , further comprising:
determining, by the system, a DC bias according to sidelobe levels and mainlobe width, wherein the second apodization weight includes the DC bias.
8. A device, comprising:
a processing system including a processor; and
a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:
applying a first apodization weight for ultrasound echoes to generate a first image, the first apodization weight having a zero mean value across an aperture of a transducer array;
applying a second apodization weight for the ultrasound echoes to generate a second image, the second apodization weight having a non-zero mean value across the aperture of the transducer array;
generating a third image based on a transposed second image that is generated by transposing the second apodization weight; and
combining the first, second and third images to generate a null subtracted image of a target.
9. The device of claim 8 , wherein the operations further comprise:
emitting ultrasonic waves from the transducer array directed to a target; and
receiving, at the transducer array, the ultrasound echoes.
10. The device of claim 8 , wherein the operations further comprise presenting the null subtracted image at a display device.
11. The device of claim 8 , wherein the operations further comprise performing beamforming, envelope detection and normalizing on at least one of the first, second or third images.
12. The device of claim 8 , wherein the combining of the first, second and third images comprises subtracting the first image from a sum of the second and third images.
13. The device of claim 12 , wherein the subtracting of the first image from a sum of the second and third images includes beamforming, envelope detection and normalizing the first, second and third images.
14. The device of claim 8 , wherein reconstruction of the first image, the second image, the third image, or a combination thereof is based on f-k migration using an exploding reflector model.
15. The device of claim 8 , wherein the operations further comprise:
determining a DC bias according to sidelobe levels and mainlobe width, wherein the second apodization weight includes the DC bias.
16. A machine-readable storage medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, comprising:
applying different apodization weights for ultrasound echoes to generate a plurality of images of a target, wherein one of the different apodization weights has a zero mean value across an aperture of a transducer array, wherein one image of the plurality of images includes a transposition of the one of the different apodization weights having the zero mean value across the aperture of the transducer array; and
generating a null subtracted image of the target by combining the plurality of images, wherein another one of the different apodization weights has a non-zero mean value across the aperture.
17. The machine-readable storage medium of claim 16 , wherein the combining of the plurality of images comprises beamforming, envelope detection and normalizing of the plurality of images.
18. The machine-readable storage medium of claim 16 , wherein the operations further comprise emitting ultrasonic waves from the transducer array directed to the target.
19. The machine-readable storage medium of claim 16 , wherein the operations further comprise determining a DC bias according to sidelobe levels and mainlobe width, wherein the DC bias is added to the one of the different apodization weights having the zero mean value across the aperture of the transducer array.
20. The machine-readable storage medium of claim 16 , wherein the operations further comprise providing the null subtracted image for presentation at a display device.