A statistical model for the object and the complete image formation process in cryo electron microscopy of viruses is presented. Using this model, maximum likelihood reconstructions of the 3D structure of viruses are ...
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ISBN:
(纸本)0819437689
A statistical model for the object and the complete image formation process in cryo electron microscopy of viruses is presented. Using this model, maximum likelihood reconstructions of the 3D structure of viruses are computed using the expectation maximization algorithm and an example based on Cowpea mosaic virus is provided.
Optical diffusion imaging is a new imaging modality that promises great potential in applications such as medical imaging, environmental sensing and nondestructive testing. It presents a difficult nonlinear image reco...
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ISBN:
(纸本)0819437689
Optical diffusion imaging is a new imaging modality that promises great potential in applications such as medical imaging, environmental sensing and nondestructive testing. It presents a difficult nonlinear imagereconstruction problem however. An inversion algorithm is formulated in a Bayesian framework, and an efficient optimization technique that uses iterative coordinate descent is presented. A general multigrid optimization technique for nonlinear imagereconstruction problems is developed and applied to the optical diffusion imaging problem. Numerical results show that this approach improves the quality of reconstructions and dramatically decreases computation times.
作者:
Power, GJUSAF
Res Lab Wright Patterson AFB OH 45433 USA
When imaging the ground from the air, distortions can occur if the imagery was created from an electro-optical line scanner pointing to nadir and mounted on the bottom of all airborne platform. The inability of the ai...
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ISBN:
(纸本)0819437689
When imaging the ground from the air, distortions can occur if the imagery was created from an electro-optical line scanner pointing to nadir and mounted on the bottom of all airborne platform. The inability of the aircraft to maintain a perfect trajectory can cause the distortions. In the worst case scenario, camera stabilizers fail, no geographical reference or navigation data is available, and the sensor periodically fails leaving incompletedata for imagereconstruction. Motion compensation can restore the images. This paper describes various distortions that can be created for an airborne nadir-aimed line scanner. A motion-compensation technique is introduced that combines multiple cues from geographical reference and navigation data as well as line-scan matched filtering. A semi-automated restoration implementation is introduced followed by the automated line-scan matched filter implementation. These various compensation techniques provide backup for each other thus creating a more efficient motion-compensation system. Even in the worst case scenario, the system continues to attempt motion compensation using an optimal line-scan matched filtering technique. The results of using this automated technique for motion compensation is demonstrated using simulated high-definition imagery and then using actual electro-optical and hyperspectral images that were obtained from the Dynamic data Base (DDB) program sponsored LS the Defense Advanced Research Projects Agency (DARPA).
The central problem in the determination of protein structures from x-ray diffraction data (x-ray crystallography) corresponds to a phase retrieval problem with undersampled amplitude data. Algorithms for this problem...
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ISBN:
(纸本)0819437689
The central problem in the determination of protein structures from x-ray diffraction data (x-ray crystallography) corresponds to a phase retrieval problem with undersampled amplitude data. Algorithms for this problem that have an increased radius of convergence have the potential for reducing the amount of experimental work, and cost, involved in determining protein structures. We describe such an algorithm. Application of the algorithm to a simulated crystallographic problem shows that it converges to the correct solution, with no initial phase information, where currently used algorithms fail. The results lend support to the possibility of ab initio phasing in protein crystallography.
Accurate reconstruction of attenuation maps fromincomplete sinograms are required in some cases of SPECT and PET imaging. This paper proposes a new method to directly reconstruct segmented attenuation maps from the i...
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Accurate reconstruction of attenuation maps fromincomplete sinograms are required in some cases of SPECT and PET imaging. This paper proposes a new method to directly reconstruct segmented attenuation maps from the incomplete sinograms. The proposed method is based on an image labeling technique where an optimum label configuration minimizing some energy function is found by using a stochastic sampling with simulated annealing Unlike ordinary image labeling techniques, however, we introduce a powerful constraint called the topology-preserving constraint. This constraint reduces the search space to a set of label configurations having the same topology as the known topology of the attenuation map in question. The experimental results demonstrate that the topology-preserving constraint is powerful enough to reconstruct accurate segmented attenuation aiaps from the incomplete sinograms. The proposed method is tested with simulated data and PET transmission data.
Multi-slice helical beam scanning involves cone-beam geometry. The primary advantages for use of divergent cone-beams include reduced data acquisition, improved image resolution and optimized photon utilization. Due t...
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ISBN:
(纸本)0819437689
Multi-slice helical beam scanning involves cone-beam geometry. The primary advantages for use of divergent cone-beams include reduced data acquisition, improved image resolution and optimized photon utilization. Due to the complexity of 3-dimensional cone-beam reconstruction, approximate algorithms have been sought to handle the cone-beam reconstruction. This paper presents a new approximate algorithm termed as oblique surface reconstruction (OSR). Theoretical considerations as well as the reconstruction of simulated phantom data in comparison to the current standard 180 degrees LI are presented. OSR is shown to be effective and practical to generate images with diagnostic quality.
In synthetic aperture sonar, the highest platform speed is limited as a result of the low speed of sound in water and the requirement for adequate sampling in the along-track direction. This can result in slow seafloo...
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ISBN:
(纸本)0819437689
In synthetic aperture sonar, the highest platform speed is limited as a result of the low speed of sound in water and the requirement for adequate sampling in the along-track direction. This can result in slow seafloor mapping, The highest allowable platform speed can be increased by using a linear array of hydrophones. The signal-to-noise can also be improved by using multiple sets of hydrophone arrays. Maximum-likelihood estimation of images using datafrom sets of hydrophone arrays that each undersample the underlying signal to different degrees is described, Simulations for synthetic aperture sonar imaging show that this improves the images obtained over those from a single array.
This paper describes a new design method for lapped orthogonal transforms (LOTs) that can provide a desired trade-off between coding efficiency and robustness to transmission errors. Traditionally, the LOT bases were ...
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ISBN:
(纸本)0780362985
This paper describes a new design method for lapped orthogonal transforms (LOTs) that can provide a desired trade-off between coding efficiency and robustness to transmission errors. Traditionally, the LOT bases were designed to maximize the coding efficiency solely [1, 2]. When certain coefficients are lost due to impairments in the transmission channel, these bases often provide unsatisfactory reconstruction quality. In our previous work [3] we have developed a new reconstruction method, the maximally smooth recovery (MSR) method, which can achieve better imagereconstruction quality fromincomplete LOT coefficients than simple interpolation methods. In this paper, we present a new LOT basis design method which maximizes a weighted average of a coding gain and a reconstruction gain, with the latter being defined according to the MSR method. We show that these new bases can achieve significantly better redundancy-rate-distortion (RRD) performance than the set of basis designed by Hemami [4].
Recently, a new approach to hyperspectral imaging, relying on the theory of computed tomography, was proposed by researchers at the Air Force Research Laboratory. The approach allows all photons to be recorded and the...
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ISBN:
(纸本)0819437689
Recently, a new approach to hyperspectral imaging, relying on the theory of computed tomography, was proposed by researchers at the Air Force Research Laboratory. The approach allows all photons to be recorded and therefore increases robustness of the imaging system to noise and focal plane array non-uniformities. However, as all computed tomography systems, the approach suffers from the limited angle problem, which obstructs reconstruction of the hyperspectral information. In this work we present a direct, one-step algorithm for reconstruction of the unknown information based on a priori knowledge about the hyperspectral image.
In many experimental observation systems where the goal is to record a 3-dimensional observation of an object, or a set of objects, a lower dimensional projection of the intended subject is obtained. In some situation...
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ISBN:
(纸本)0819437689
In many experimental observation systems where the goal is to record a 3-dimensional observation of an object, or a set of objects, a lower dimensional projection of the intended subject is obtained. In some situations only the statistical properties of such objects is desired: the three dimensional probablility density function. This article demonstrates that under special symmetries this function can be obtained from a two dimensional probability density function which, has been obtained from the observed, projected data. Standard tomographic theorems can be used to guarantee the uniqueness of this function and a natural basis set can be used in computing the three dimensional function from the two dimensional projection. Here, the theory of this inversion is explored from a theoretical and numerical point of view with some examples of data functions taken from scientific experiments
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