scholarly journals Three-dimensional photoacoustic tomography using delay multiply and sum beamforming algorithm

2018 ◽  
Author(s):  
Roya Paridar ◽  
Moein Mozaffarzadeh ◽  
Mahdi Orooji ◽  
Ali Mahloojifar ◽  
Mohammadreza Nasiriavanaki
Keyword(s):  
Three Dimensional ◽  
Photoacoustic Tomography ◽  
Beamforming Algorithm

FREQUENCY DOMAIN RECONSTRUCTION FOR PHOTO- AND THERMOACOUSTIC TOMOGRAPHY WITH LINE DETECTORS

2009 ◽  
Vol 19 (02) ◽  
pp. 283-306 ◽  
Author(s):  
MARKUS HALTMEIER
Keyword(s):  
Wave Equation ◽  
Frequency Domain ◽  
Boundary Data ◽  
Three Dimensional ◽  
Photoacoustic Tomography ◽  
Two Dimensional ◽  
Reconstruction Problem ◽  
Acoustic Data ◽  
Dimensional Wave ◽  
Frequency Domain Reconstruction

This paper is concerned with a version of photoacoustic tomography, that uses line shaped detectors (instead of point-like ones) for the recording of acoustic data. The three-dimensional image reconstruction problem is reduced to a series of two-dimensional ones. First, the initial data of the two-dimensional wave equation is recovered from boundary data, and second, the classical two-dimensional Radon transform is inverted. We discuss uniqueness and stability of reconstruction, and compare frequency domain reconstruction formulas for various geometries.

Dynamic reconstruction of three-dimensional photoacoustic tomography from few projections

2021 ◽  
Author(s):  
Chao Wang ◽  
Umberto Villa ◽  
Weylan Thompson ◽  
Seonyeong Park ◽  
Sergey A. Ermilov ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Photoacoustic Tomography ◽  
Dynamic Reconstruction

scholarly journals Three dimensional photoacoustic tomography in Bayesian framework

2018 ◽  
Vol 144 (4) ◽  
pp. 2061-2071 ◽  
Author(s):  
Jenni Tick ◽  
Aki Pulkkinen ◽  
Felix Lucka ◽  
Robert Ellwood ◽  
Ben T. Cox ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Bayesian Framework ◽  
Photoacoustic Tomography

scholarly journals Three-dimensional quantitative photoacoustic tomography using an adjoint radiance Monte Carlo model and gradient descent

2019 ◽  
Vol 24 (06) ◽  
pp. 1 ◽  
Author(s):  
Jens Buchmann ◽  
Bernhard A. Kaplan ◽  
Samuel Powell ◽  
Steffen Prohaska ◽  
Jan Laufer
Keyword(s):  
Monte Carlo ◽  
Gradient Descent ◽  
Monte Carlo Model ◽  
Three Dimensional ◽  
Photoacoustic Tomography
Sign in / Sign up

Export Citation Format

Share Document