We report on a new method for extraction of quantified optical absorption maps of scattering and absorbing media using sparse representation, a relatively recent and fast emerging technique in the field of signal processing. The tomographic reconstruction is facilitated by assuming slow spatial variations of illuminating optical field along with relatively sharp changes in optical absorption coefficient. As opposed to previous approaches that utilize photon transport equation in order to correct images for inhomogeneous light distribution within the imaged object, the method herein provides an estimate for photon fluence directly from the recorded optoacoustic signals. In this way a robust quantitative performance is achieved without prior ...
We describe a noniterative method for recovering optical absorption coefficient distribution from th...
Diffuse optical tomography and photoacoustic tomography were combined to measure the optical absorpt...
Sparse recovery algorithms have shown great potential to reconstruct images with limited view datase...
We report on a new quantification methodology of optoacoustic tomographic reconstructions under hete...
This paper comprehensively reviews the emerging topic of optoacoustic imaging from the image reconst...
This paper comprehensively reviews the emerging topic of optoacoustic imaging from the image reconst...
We propose a combined reconstruction-classification method for simultaneously recovering absorption ...
Sparse recovery algorithms have shown great potential to accurately reconstruct images using limited...
Optoacoustic tomography is a fast developing imaging modality, combining the high contrast available...
We present a fast inversion algorithm for quantitative two- and three-dimensional optoacoustic tomog...
Optoacoustic tomography is a fast developing imaging modality, combining the high contrast available...
The objective of quantitative photoacoustic tomography (QPAT) is to reconstruct optical and thermody...
Ultrasound-modulated optical tomography is an emerging biomedical imaging modality which uses the sp...
In this paper, we present a numerical reconstruction method for quantitative photoacoustic tomograph...
Quantitative photoacoustic tomography is an emerging imaging technique aimed at estimating the distr...
We describe a noniterative method for recovering optical absorption coefficient distribution from th...
Diffuse optical tomography and photoacoustic tomography were combined to measure the optical absorpt...
Sparse recovery algorithms have shown great potential to reconstruct images with limited view datase...
We report on a new quantification methodology of optoacoustic tomographic reconstructions under hete...
This paper comprehensively reviews the emerging topic of optoacoustic imaging from the image reconst...
This paper comprehensively reviews the emerging topic of optoacoustic imaging from the image reconst...
We propose a combined reconstruction-classification method for simultaneously recovering absorption ...
Sparse recovery algorithms have shown great potential to accurately reconstruct images using limited...
Optoacoustic tomography is a fast developing imaging modality, combining the high contrast available...
We present a fast inversion algorithm for quantitative two- and three-dimensional optoacoustic tomog...
Optoacoustic tomography is a fast developing imaging modality, combining the high contrast available...
The objective of quantitative photoacoustic tomography (QPAT) is to reconstruct optical and thermody...
Ultrasound-modulated optical tomography is an emerging biomedical imaging modality which uses the sp...
In this paper, we present a numerical reconstruction method for quantitative photoacoustic tomograph...
Quantitative photoacoustic tomography is an emerging imaging technique aimed at estimating the distr...
We describe a noniterative method for recovering optical absorption coefficient distribution from th...
Diffuse optical tomography and photoacoustic tomography were combined to measure the optical absorpt...
Sparse recovery algorithms have shown great potential to reconstruct images with limited view datase...