Abstract
Ultrasonic computed tomography (UCT) is a potentially useful technique that has been explored for decades in the context of medical imaging. UCT can provide quantitative images of acoustical parameters such as speed of sound, attenuation, and density from measurements of pressure fields. Throughout the years, several algorithms that rely on different wave propagation models have been developed. In this chapter, the fundamentals of forward and inverse solvers for ultrasonic tomography will be described.
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Notes
- 1.
The eikonal equation can alternatively be derived from Fermat’s principle, and therefore this principle can also be used for ray tracing. The interested reader can refer to acoustics textbooks such as Pierce (1989).
- 2.
- 3.
This approach is in fact a synthetic aperture reconstruction method (Soumekh 1999) equivalent to the delay-and-sum algorithm. A commonly used variation is to perform the backpropagation operation using envelope-detected data, which results in a spatial compounding reconstruction method (Trahey et al. 1986).
- 4.
Density information from dispersive media can also be isolated from \(O_\rho (k,\mathbf {r})\) profiles at different frequencies if the dispersion can be properly modeled as a function of \(\omega \).
- 5.
- 6.
See Sect. 14.5 for a discussion on the discretization of the wave equation.
- 7.
- 8.
Like in the case of sound speed imaging with DBIM, frequency hopping can be used to improve the spatial resolution of density tomograms constructed with the T-matrix formulation.
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Lavarello, R.J., Hesford, A.J. (2013). Methods for Forward and Inverse Scattering in Ultrasound Tomography. In: Mamou, J., Oelze, M. (eds) Quantitative Ultrasound in Soft Tissues. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6952-6_14
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Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-6951-9
Online ISBN: 978-94-007-6952-6
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)