The spatial resolution that is achievable using non-uniformly sampled data in the Fourier domain is examined. In particular, we focus on the typical non-uniform sampling that arises when diffraction tomography is used. We firstly introduce an effective conversion from non-uniform to uniform sampling grids using a transformation that minimizes an error measure in the frequency domain and that is particularly suited for the sampling location patterns encountered in diffraction tomography. Furthermore, for this scenario, we investigate the impact of sampling patterns on spatial resolution changes and how the sampling pattern can be varied to improve the spatial resolution. Finally, simulations are performed to show how spatial resolution varie...
The method of Diffuse Optical Tomography (DOT) represents a technique of growing interest in the fie...
Sampling is a core component for many graphics applications including rendering, imaging, animation,...
Graduation date: 2006Two problems involving high-resolution reconstruction from nonuniformly sampled...
When optical signals, like diffraction patterns, are processed by digital means the choice of sampli...
In the conventional diffraction tomography a linear array is used to receive forward scattered field...
The purpose of this research is to achieve uniform spatial resolution in CT (computed tomography) im...
In this paper, subsurface imaging problem is addressed. In particular, the focus is to introduce a ...
Image based diagnostics are interpreted in the context of spatial resolution. The same is true for t...
Diffraction tomography is a powerful algorithm for producing high-resolution quantitative reconstruc...
In single-photon emission computed tomography (SPECT), projection data are acquired by rotating the ...
In this work, we are concerned with the diffusive optical tomography (DOT) problem in the case when ...
Most diffraction tomography (DT) algorithms use a homogeneous Green function (GF) regardless of the ...
A sufficiently high spatial sampling is critical for high quality imaging. If the sampling criterion...
We discuss several cases of what we call "Rich Tomography" problems in which more data is measured t...
The conventional tomographic methods are mainly applied to reconstruct objects that can be treated a...
The method of Diffuse Optical Tomography (DOT) represents a technique of growing interest in the fie...
Sampling is a core component for many graphics applications including rendering, imaging, animation,...
Graduation date: 2006Two problems involving high-resolution reconstruction from nonuniformly sampled...
When optical signals, like diffraction patterns, are processed by digital means the choice of sampli...
In the conventional diffraction tomography a linear array is used to receive forward scattered field...
The purpose of this research is to achieve uniform spatial resolution in CT (computed tomography) im...
In this paper, subsurface imaging problem is addressed. In particular, the focus is to introduce a ...
Image based diagnostics are interpreted in the context of spatial resolution. The same is true for t...
Diffraction tomography is a powerful algorithm for producing high-resolution quantitative reconstruc...
In single-photon emission computed tomography (SPECT), projection data are acquired by rotating the ...
In this work, we are concerned with the diffusive optical tomography (DOT) problem in the case when ...
Most diffraction tomography (DT) algorithms use a homogeneous Green function (GF) regardless of the ...
A sufficiently high spatial sampling is critical for high quality imaging. If the sampling criterion...
We discuss several cases of what we call "Rich Tomography" problems in which more data is measured t...
The conventional tomographic methods are mainly applied to reconstruct objects that can be treated a...
The method of Diffuse Optical Tomography (DOT) represents a technique of growing interest in the fie...
Sampling is a core component for many graphics applications including rendering, imaging, animation,...
Graduation date: 2006Two problems involving high-resolution reconstruction from nonuniformly sampled...