Data collected by a CT scanner provide estimates of line integrals of the X-ray attenuation distribution in a cross section of the human body. The lines along which integrals are collected are determined by the positi...
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An integrated microCT/microXRF system has been designed and built at SkyScan. The two sub-systems are aligned. The microCT provides 3D morphological information of the sample, which can be also used for attenuation co...
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ISBN:
(纸本)9780819483003
An integrated microCT/microXRF system has been designed and built at SkyScan. The two sub-systems are aligned. The microCT provides 3D morphological information of the sample, which can be also used for attenuation correction during microXRF reconstruction. The microXRF, based on a pin-hole collimator and a photon-counting energy-sensitive 2D-detector, obtains 2D projections of 3D chemical composition inside the sample with 50-70 microns spatial resolution. The reconstruction of 3D microXRF scans is challenging because of very low photon counting statistics due to limited power of laboratory x-ray sources and the strong self-absorption of the low-energy fluorescence photons. We have developed a maximum-likelihood expectation-maximization (ML-EM) algorithm based on Poisson model. This algorithm has proven to be rather robust and good reconstructions have been obtained with sample scans. Regularization is necessary to achieve stable reconstruction. One method is to apply smoothing between iterations. Two different smoothing kernels have been evaluated: 3D symmetric Gaussian kernel and minimization of total variation. For further improvement, a multi-ray resolution recovery technique has been evaluated. The self-absorption is currently compensated by a simplified method: the correction coefficients are pre-calculated and obtained by forward-projecting the attenuation map for both the primary X-rays and the fluorescence photons. The attenuation maps at the energy of fluorescence photons are approximated from the CT image.
It is a classical assumption in sampling theory that the input signal is square-integrable. However, non-decaying signals are prevalent in science and engineering. They do not decay and even grow at infinity, such as ...
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It is a classical assumption in sampling theory that the input signal is square-integrable. However, non-decaying signals are prevalent in science and engineering. They do not decay and even grow at infinity, such as realizations of Brownian and L & eacute;vy processes. In this paper, we consider the problem of random sampling of non-decaying signals from weighted multiply generated shift-invariant spaces. We obtain that with overwhelming probability, the random sampling stability holds uniformly for all non-decaying signals in certain compact subsets of the weighted multiply generated shift-invariant spaces when the sampling size is sufficiently large. Furthermore, we consider a reconstruction algorithm for a subspace of the weighted multiply generated shift-invariant spaces and provide the probability that the algorithm succeeds.
Images, not necessarily to be photoacoustic (PA), are conventionally reconstructed from a collection of boundary-measured data that are also comprised of a significantly large percentage of background noisy signals de...
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Images, not necessarily to be photoacoustic (PA), are conventionally reconstructed from a collection of boundary-measured data that are also comprised of a significantly large percentage of background noisy signals delivering no pertaining information, and thus, the obtainable imaging performance is remarkably degraded. This article presents a novel and unique technique to undertake image reconstruction, taking into account only the selective signals of importance while filtering out the unwanted noisy signals selectively, which immensely enhances the achievable image quality. Quantitative validation studies-both simulations and experiments in diversified samples [agars, leaf veins, and excised tissues (chicken breasts)] using our home-built PA imaging (PAI) modalities both PA tomography (PAT) and PA microscopy (PAM)-demonstrate a significant enhancement in the imaging performance, which are quantified in terms of various statistical parameters of great interest in practical clinical applications, say, signal-to-noise-ratio (SNR) (similar to 25%-94%), contrast ratio (CR) (similar to 164%-189%), axial resolution (similar to 40%-49%), and lateral resolution (similar to 27%-62%).
A fast and high-resolution reconstruction algorithm with variable resolution increasing ratio and down-sampling ratio is proposed. Since the digital holography requires that the space-bandwidth product of the recordin...
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A fast and high-resolution reconstruction algorithm with variable resolution increasing ratio and down-sampling ratio is proposed. Since the digital holography requires that the space-bandwidth product of the recording system should be greater than that of the object so as to ensure no loss of information, usually much redundant information and pixels exist in the recorded digital hologram. According to that, we propose utilizing a flexible down-sampling process with variable ratio to eliminate the redundancy. The technical characteristics are analyzed. The validity of this method is shown by both calculations based on theory analysis and experimental results. (C) 2012 Elsevier GmbH. All rights reserved.
Among the iterative reconstruction algorithms for tomography, the multiplicative algebraic reconstruction technique (MART) has two advantages that make it stand out from other algorithms: it confines the image (and th...
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Among the iterative reconstruction algorithms for tomography, the multiplicative algebraic reconstruction technique (MART) has two advantages that make it stand out from other algorithms: it confines the image (and therefore the projection data) to the convex hull of the patient, and it maximizes entropy. In this paper, we have undertaken a series of experiments to determine the importance of MART nonlinearity to image quality. Variants of MART were implemented aiming to exploit and exaggerate the nonlinear properties of the algorithm. We introduce the Power MART, Boxcar Averaging MART and Bouncing MART algorithms. Power MART is linked to the relaxation concept. Its behaviour is similar to that of the chaos of a logistic equation. There appears to be an antagonism between increasing nonlinearity and noise in the projection data. The experiments confirm our general observation that regularization as a means of solving simultaneous linear equations that are underdetermined is suboptimal: it does not necessarily select the correct image from the hyperplane of solutions, and so does not maximize the image quality:x-ray dose ratio. Our investigations prove that there is scope to optimize CT algorithms and thereby achieve greater dose reduction.
Electrical capacitance tomography (ED) is a relatively mature non-invasive imaging technique that attempts to map dielectric permittivity of materials. Recently, 3D ECT has gained interest because of its potential to ...
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Electrical capacitance tomography (ED) is a relatively mature non-invasive imaging technique that attempts to map dielectric permittivity of materials. Recently, 3D ECT has gained interest because of its potential to generate volumetric images. The study of a fast and accurate image reconstruction algorithm is a challenge task, especially for 3D reconstruction. In this paper, we propose an improved Landweber iteration algorithm. We incorporate an additional acceleration term into the cost function and apply an adaptive threshold operation to the image obtained in each iteration for reducing artefacts. The algorithm proposed is tested by the noise-free and noise-contaminated capacitance data. Sensitivity matrixes and capacitance data of a 3D ECT sensor are obtained by using the finite element (FE) method. Extensive simulations in 3D reconstruction are carried out. The results verify the effectiveness of these improvements. Both the reconstruction time and the artefacts in the reconstructed image are reduced obviously. The experimental results of 3D reconstruction of objects in the shape of letters U and L confirm the effectiveness of the proposed algorithm further. (C) 2014 Elsevier Ltd. All rights reserved.
We consider the compressive sensing reconstruction for vibration signals, which are complex due to the harsh working environment. The recent fast iterative shrinkage-thresholding algorithm (FISTA) has paved the way fo...
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We consider the compressive sensing reconstruction for vibration signals, which are complex due to the harsh working environment. The recent fast iterative shrinkage-thresholding algorithm (FISTA) has paved the way for the signal reconstruction with a low complexity and high efficiency. Unfortunately, when extending to the vibration signals, the current algorithm still has some drawbacks such as the bad reconstruction effect. In this paper, we propose the improved fast iterative shrinkage-thresholding algorithm (IFISTA) to improve the reconstruction effect. Under the new scheme, the reconstruction is promoted by extracting information from the unstable signals in the process of iteration. Then the feature coefficients will be protected from shrinkage during iteration. The effectiveness of the IFISTA is verified by simulated signals and acquired signals. It is showed that the proposed scheme has superior performance in reconstruction and feature protection for vibration signals. (C) 2019 Elsevier Ltd. All rights reserved.
Both multiview and light-field reconstructions are proposed for a multiple-projector 3D display system. To compare the performance of the reconstruction algorithms in the same system, an optimized multiview reconstruc...
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Both multiview and light-field reconstructions are proposed for a multiple-projector 3D display system. To compare the performance of the reconstruction algorithms in the same system, an optimized multiview reconstruction algorithm with sub-view-zones (SVZs) is proposed. The algorithm divided the conventional view zones in multiview display into several SVZs and allocates more view images. The optimized reconstruction algorithm unifies the conventional multiview reconstruction and light-field reconstruction algorithms, which can indicate the difference in performance when multiview reconstruction is changed to light-field reconstruction. A prototype consisting of 60 projectors with an arc diffuser as its screen is constructed to verify the algorithms. Comparison of different configurations of SVZs shows that light-field reconstruction provides large-scale 3D images with the smoothest motion parallax;thus it may provide better overall performance for large-scale 360 degrees display than multiview reconstruction. (C) 2013 Optical Society of America
Objective: To determine the appropriate computed tomographic (CT) image reconstruction algorithms for a quantitative multicenter trial of diffuse lung disease. Methods: Phantom images were reconstructed using relevant...
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Objective: To determine the appropriate computed tomographic (CT) image reconstruction algorithms for a quantitative multicenter trial of diffuse lung disease. Methods: Phantom images were reconstructed using relevant reconstruction algorithms from 2 CT manufacturers to measure mean CT numbers and image noise. High-contrast spatial resolution and edge response function were determined for each algorithm. Clinical images of patients with diffuse lung disease were evaluated by a thoracic radiologist in terms of image quality and disease extent. Results: The CT numbers were accurate for most reconstruction algorithms for both manufacturers, although some algorithms with strong midfrequency enhancement altered CT numbers. The Bone (GE) and B46f (Siemens) algorithms provided the higher spatial resolution deemed clinically necessary for imaging diffuse lung disease while preserving CT number accuracy. The extent of diffuse lung disease was strongly dependent on the reconstruction algorithm. Conclusions: A moderately sharp reconstruction algorithm (Bone/B46f) was selected for the evaluation of diffuse lung disease.
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