tomographic image reconstruction methods
Consistency in tomographic reconstruction by iterative methods
... where, the matrix A contains the weights of a numeric integration algorithm which is used to compute the line integrals of the sampled image [7]. In most of the applications of ART the i[r] ...
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Fourier Based Forward and Back Projectors in Iterative Fan Beam Tomographic Image Reconstruction
... how to use it for forward projection.) Therefore, we use the usual Fourier slice theorem and interpolate into the fan-beam coor- dinates. To ensure good accuracy and computation efficiency, we use a min-max optimized KB ...
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Trace: a high-throughput tomographic reconstruction engine for large-scale datasets
... iterative reconstruction. FBP methods, such as Gridrec [2], per- form only a single pass over the input projection dataset and therefore require significantly less computation than do iterative ...
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Compressed-sensing-based fluorescence molecular tomographic image reconstruction with grouped sources
... Optical molecular imaging has important applications in many fields such as molecular biology and clinical diagnosis, where disease-specific tracers are combined with the optical methods to detect and localize the ...
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A novel technique to incorporate structural prior information into multi-modal tomographic reconstruction
... deblurring image recovery problem, and then applied to 2D and 3D reconstruction problems; thereby highlighting the capabilities of the ...iterative tomographic reconstruction, hybrid ...
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MLEM Image Reconstruction Algorithm for Transmission Tomographic Gamma Scanning in Drummed Nuclear Wastes
... assay methods with gamma ray, tomographic gamma scanning (TGS) technology is able to give accurate quantitative measurements and qualitative analysis of nuclear wastes and determine the distribution of ...
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STATISTICAL ANALYSIS OF TOMOGRAPHIC RECONSTRUCTION ALGORITHMS BY MORPHOLOGICAL IMAGE CHARACTERISTICS
... the reconstruction, whereas evaluation results can hardly be interpreted with respect to the preservation of locally defined image characteristics such as little cracks in the material or the exact shape of ...
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Analytical image reconstruction methods in emission tomography
... Tomographic methods do not generate three dimensional images of an object directly. Instead sectional 2-D im- ages are reconstructed from a set of projections. As the amount of data, or projections, is ...
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Tomographic Image Reconstruction of Fan-Beam Projections with Equidistant Detectors using Partially Connected Neural Networks
... for tomographic imaging problem using interpolation methods and fan-beam ...solving tomographic reconstruction with no need of ...perform reconstruction with interpolation and to allow ...
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Effect of Image Size on Threshold Selection for Segmentation of Dense Homogeneous Objects in Tomographic Reconstructions
... Different approaches to segmentation of dense objects also exist, e.g., region-based algorithms such as region growing and watershed segmentation .These methods are also solely based on the reconstructed ...
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Implementation of Smart Tomographic Sensors in Cyber Physical System for Process Analysis in Industry 4.0
... tomography and image reconstruction using deterministic methods and machine learning, the.. 19.[r] ...
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Image Reconstruction Algorithm for Electrical Impedance Tomographic System
... different image reconstruction algorithms, as the location of the dropped object, in this case, it's triangle nearby the centroid of the test object, guessed by back projection methods & its ...
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Recovery and Visualization of 3D Structure of Chromosomes from Tomographic Reconstruction Images
... tissues. Methods for the segmentation and 3D recovery of small intracellular organelles such as chromosomes, mitochon- dria, and endoplasmic reticulum are challenging to develop as these biological organelles are ...
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An image reconstruction algorithm for a dual modality tomographic system
... Due to the constraints imposed by the strict safety requirements of clinical instruments the majority of biomedical DAS's are restricted in the range of measurements they can make. DAS for the process industry do not ...
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Fast 3D recognition for forensics and counter terrorism applications
... The development of advanced techniques for fast 3D reconstruction and recognition of human faces in unconstrained scenarios can significantly help the fight against crime and terrorism. We describe a 3D solution ...
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Survey on Various 3D Brain Image Reconstruction Methods based on MRI
... for image registration is developed based on this new viewpoint, which combines the novel multi-scale technique with method of multi- resolution to achieve robustness and higher accuracy on 3D brain MR ...
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Determination of Bonding Failures in Transparent Materials with Non Destructive Methods—Evaluation of Climatically Stressed Glued and Laminated Glass Compounds
... non-destructive methods (visual analysis, analysis of birefringent properties and computed tomograph- ic data) are applied to evaluate failure patterns as well as the long-term beha- vior considering climatic ...
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The Practical Application and Clinical Use of Modern 3D Ultrasound Technology in Gynaecology
... The selection of 3D sector angle, sweep speed and sampling box size greatly influences frame rates and hence line density within the 3D image volume. These are important considerations in the ability to maximise ...
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Euler principal component analysis
... computation methods pro- duce similar errors (here we have to note that the pre-image approximation error is different than the reconstruction er- ror in (22) since the former is in the feature space ...
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ESTIMATING LENGTH STATISTICS OF AGGREGATE FRIED POTATO PRODUCT VIA ELECTROMAGNETIC RADIATION ATTENUATION
... For similar reasons, it would be beneficial to make efforts to normalize the shape and layout of the bag on the conveyor belt. Though the interior region of the bags is generally filled with product, often the edges are ...
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