2-D Slicewise Waveform Inversion of Sound Speed and Acoustic Attenuation for Ring Array Ultrasound Tomography Based on a Block LU Solver

Ultrasound tomography is an emerging imaging modality that uses the transmission of ultrasound through tissue to reconstruct images of its mechanical properties. Initially, ray-based methods were used to reconstruct these images, but their inability to account for diffraction often resulted in poor...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 2024-08, Vol.43 (8), p.2988-3000
Main Authors: Ali, Rehman, Mitcham, Trevor M., Brevett, Thurston, Agudo, Oscar Calderon, Martinez, Cristina Duran, Li, Cuiping, Doyley, Marvin M., Duric, Nebojsa
Format: Article
Language:English
Subjects:
Acoustics
Algorithms
Attenuation
Frequency domain
Frequency-domain analysis
Humans
Image Processing, Computer-Assisted - methods
Image reconstruction
Mathematical models
Phantoms, Imaging
ring array
Tomography
Tomography - methods
Ultrasonic imaging
Ultrasonography - methods
ultrasound
waveform inversion
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Summary:Ultrasound tomography is an emerging imaging modality that uses the transmission of ultrasound through tissue to reconstruct images of its mechanical properties. Initially, ray-based methods were used to reconstruct these images, but their inability to account for diffraction often resulted in poor resolution. Waveform inversion overcame this limitation, providing high-resolution images of the tissue. Most clinical implementations, often directed at breast cancer imaging, currently rely on a frequency-domain waveform inversion to reduce computation time. For ring arrays, ray tomography was long considered a necessary step prior to waveform inversion in order to avoid cycle skipping. However, in this paper, we demonstrate that frequency-domain waveform inversion can reliably reconstruct high-resolution images of sound speed and attenuation without relying on ray tomography to provide an initial model. We provide a detailed description of our frequency-domain waveform inversion algorithm with open-source code and data that we make publicly available.
ISSN:0278-0062
1558-254X
1558-254X
DOI:10.1109/TMI.2024.3383816