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79
Shape Reconstruction in X-Ray Tomography
"... X-ray tomographic image reconstruction consists in determining an object function from its projections. In many ap- plications such as non destructive testing, we look for a default region (air) in a homogeneous known background (metal). The image reconstruction problem becomes then the determinatio ..."
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Cited by 5 (1 self)
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then the determination of the shape of the default region. Two approaches can bc used: modelling the image as a binary Markov random field and estimating the whole pixels of the image or modeling the shape of the default and estimating it directly from the projections. In this work wc model the default shape by a
Three-dimensional coordinates of individual atoms in materials revealed by electron tomography
"... Crystallography, the primary method for determining the 3D atomic positions in crystals, has been fundamental to the development of many fields of science 1 . However, the atomic positions obtained from crystallography represent a global average of many unit cells in a crystal In 1959, Richard Fey ..."
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Feynman challenged the electron microscopy community to locate the positions of individual atoms in substances The experiment was performed on an aberration-corrected STEM operated in annular dark-field (ADF) mode • to 180 • , a tilt series of 62 angles was acquired with equal slope increments
Concurrent threads for parallel electron tomography
- In Proceedings of the 6th WSEAS International Conference on Applied Computer Science (ACS ’06
, 2006
"... Abstract:- High Performance Computing (HPC from now) is a characteristic defined and developed with the aim of providing a feasible framework in which large-scale and grand-challenge applications can be run within acceptable time bounds. Electron tomography of large specimens sets up a field in whic ..."
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Abstract:- High Performance Computing (HPC from now) is a characteristic defined and developed with the aim of providing a feasible framework in which large-scale and grand-challenge applications can be run within acceptable time bounds. Electron tomography of large specimens sets up a field
Digital Phase Reconstruction via Iterative Solutions of Transport-of-Intensity Equation
"... Abstract—We develop a variational algorithm for reconstruct-ing phase objects from a series of bright field micrographs. Our mathematical model is based on the transport-of-intensity equation (TIE), which links the phase of a complex field to the axial derivative of its intensity. To reduce reconstr ..."
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Abstract—We develop a variational algorithm for reconstruct-ing phase objects from a series of bright field micrographs. Our mathematical model is based on the transport-of-intensity equation (TIE), which links the phase of a complex field to the axial derivative of its intensity. To reduce
Limitations in 3D reconstruction of X-rays tomography
"... To reconstruct the 3D information of X-rays tomography (tomoX). many authors [1, 2, 3, 4] uses algorthims implemented for electron microscopy ([5, 6]) To analyze the performance of applying EM reconstruction algorithms to tomoX microscopy we have developed an X-ray microscope simulator. This simulat ..."
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To reconstruct the 3D information of X-rays tomography (tomoX). many authors [1, 2, 3, 4] uses algorthims implemented for electron microscopy ([5, 6]) To analyze the performance of applying EM reconstruction algorithms to tomoX microscopy we have developed an X-ray microscope simulator
Image Reconstruction of Moderate Contrast Targets Using the Distorted Born Iterative Method
"... Abstract — Ultrasonic tomography using inverse scattering, i.e., the distorted Born iterative method (DBIM), allows for the quantitative image reconstruction of mechanical properties of materials. The use of multi-frequency information has been proposed to avoid convergence issues for targets with m ..."
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Abstract — Ultrasonic tomography using inverse scattering, i.e., the distorted Born iterative method (DBIM), allows for the quantitative image reconstruction of mechanical properties of materials. The use of multi-frequency information has been proposed to avoid convergence issues for targets
Iterative image reconstruction using inverse Fourier rebinning for fully 3-D
- PET,” IEEE Trans. Med. Imag
, 2007
"... Abstract—We describe a fast forward and back projector pair based on inverse Fourier rebinning for use in iterative image reconstruction for fully 3-D positron emission tomography (PET). The projector pair is used as part of a factored system matrix that takes into account detector-pair response by ..."
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Abstract—We describe a fast forward and back projector pair based on inverse Fourier rebinning for use in iterative image reconstruction for fully 3-D positron emission tomography (PET). The projector pair is used as part of a factored system matrix that takes into account detector-pair response
Acoustic Tomography Method for Measuring Temperature and Wind Velocity
- in IEEE Intern. Conf. on Acous., Speech, and Signal Proces
, 2006
"... We consider the problem of reconstructing superimposed temperature and wind flow fields from acoustic measurements. A new technique based solely on acoustic waves propagation is presented. In contrast to the usual straight ray assumption, a bent ray model is considered in order to achieve higher acc ..."
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Cited by 7 (2 self)
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We consider the problem of reconstructing superimposed temperature and wind flow fields from acoustic measurements. A new technique based solely on acoustic waves propagation is presented. In contrast to the usual straight ray assumption, a bent ray model is considered in order to achieve higher
Recent Advances in CT Image Reconstruction
- Current Radiology Reports
"... Abstract Over the past two decades, rapid system and hardware development of x-ray computed tomography (CT) technologies has been accompanied by equally exciting advances in image reconstruction algorithms. The algorithmic development can generally be classified into three major areas: analytical r ..."
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reconstruction, model-based iterative reconstruction, and application-specific reconstruction. Given the limited scope of this chapter, it is nearly impossible to cover every important development in this field; it is equally difficult to provide sufficient breadth and depth on each selected topic. As a
COMPRESSED SENSING IMAGE RECONSTRUCTION VIA RECURSIVE SPATIALLY ADAPTIVE FILTERING
"... We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coefficients of an arbitrary linear transform. This reconstruction problem is the subject of intensive study in the recent field of “compressed sensing ..."
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Cited by 24 (4 self)
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We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coefficients of an arbitrary linear transform. This reconstruction problem is the subject of intensive study in the recent field of “compressed
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