2023•Unpublished venueOpen access

Reference-phantom-free imaging of local attenuation coefficient in synthetic transmit aperture ultrasound imaging

Khalid Mohamed Abdalla, Na Zhao, Yuan Xu

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Abstract

The attenuation coefficient slope(ACS) is an essential property of biological tissues. Most of the present ACS estimation methods use spectrum-based approaches in B-mode imaging and need a reference phantom. A method to map ACS without a reference phantom is proposed in Synthetic Transmit Aperture ultrasound imaging. The diffraction effect in ACS estimation is studied. In this paper, the transducer bandwidth was divided into overlapping sub-bands, and each sub-band was used to reconstruct an image and yield the corresponding sub-band attenuation coefficient to obtain ACS. The feasibility of the proposed method was demonstrated in numerical simulations and experiments.

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The attenuation coefficient slope(ACS) is an essential property of biological tissues. Most of the present ACS estimation methods use spectrum-based approaches in B-mode imaging and need a reference phantom. A method to map ACS without a reference phantom is proposed in Synthetic Transmit Aperture ultrasound imaging. The diffraction effect in ACS estimation is studied. In this paper, the transducer bandwidth was divided into overlapping sub-bands, and each sub-band was used to reconstruct an image and yield the corresponding sub-band attenuation coefficient to obtain ACS. The feasibility of the proposed method was demonstrated in numerical simulations and experiments.

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Available abstract

The attenuation coefficient slope(ACS) is an essential property of biological tissues. Most of the present ACS estimation methods use spectrum-based approaches in B-mode imaging and need a reference phantom. A method to map ACS without a reference phantom is proposed in Synthetic Transmit Aperture ultrasound imaging. The diffraction effect in ACS estimation is studied. In this paper, the transducer bandwidth was divided into overlapping sub-bands, and each sub-band was used to reconstruct an image and yield the corresponding sub-band attenuation coefficient to obtain ACS. The feasibility of the proposed method was demonstrated in numerical simulations and experiments.

Key concepts: Imaging phantom, Attenuation, Attenuation coefficient, Compounding, Ultrasound, Materials science, Transducer, Optics

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