iterative tomographic image reconstruction
MLEM Image Reconstruction Algorithm for Transmission Tomographic Gamma Scanning in Drummed Nuclear Wastes
... larger reconstruction error; the reconstruction effects are relatively better when samples are in bigger physical ...during iterative steps of MLEM ...
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Effect of Image Size on Threshold Selection for Segmentation of Dense Homogeneous Objects in Tomographic Reconstructions
... Accurate image segmentation is required for obtaining correct localization, shape, size of tomographic image objects, but it is difficult to obtain, in particular if one needs to segment objects that ...
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Coronary Computed Tomographic Angiography at 80 kVp and Knowledge-Based Iterative Model Reconstruction Is Non-Inferior to that at 100 kVp with Iterative Reconstruction
... improved image quality and reduced image noise compared to other reconstruction methods when using a conventional 120-kVp protocol ...better image quality with less noise and fewer ...
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STATISTICAL ANALYSIS OF TOMOGRAPHIC RECONSTRUCTION ALGORITHMS BY MORPHOLOGICAL IMAGE CHARACTERISTICS
... conventional reconstruction algorithms such as FBP or ...the reconstruction array corresponds to exactly one sinusoidal trajectory of the sinogram ...
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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 ...Keywords: iterative tomographic reconstruction, ...
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Trace: a high-throughput tomographic reconstruction engine for large-scale datasets
... do iterative reconstruction algorithms, which may need tens or even hundreds of ...analytical reconstruction techniques are suscepti- ble to errors and noise in data, which are common due to the ...
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Image reconstruction of a charge coupled device based optical tomographic instrumentation system for particle sizing
... the image reconstruction process possible for the proposed CCD-based optical tomography ...The tomographic images reconstructed using the transpose matrix is found to be producing qualitative images ...
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Compressed-sensing-based fluorescence molecular tomographic image reconstruction with grouped sources
... the tomographic inverse problem. In addition, the iterative reconstructed results from one group of sources will offer a good initial guess for the next iteration of reconstruction from the other ...
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Fourier Based Forward and Back Projectors in Iterative Fan Beam Tomographic Image Reconstruction
... In this paper we have used a NUFFT method that works generally for arbitrary sampling patterns. Further acceleration may be possible if one uses a specific 2-D NUFFT approach that is tailored to the polar sampling ...
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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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Non-contrast CT at comparable dose to an abdominal radiograph in patients with acute renal colic; impact of iterative reconstruction on image quality and diagnostic performance
... excellent image quality and calculi as small as ...by iterative reconstruction), which imparted a radiation exposure less than plain radiography in detecting urinary tract ...improve image ...
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Acute Intracranial Hemorrhage in CT: Benefits of Sinogram Affirmed Iterative Reconstruction Techniques
... of iterative reconstruction to FBP could substantially change the texture and characteristics of the ...better reconstruction technique for the detection of ICH than FBP, and it can be assumed that a ...
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Performance of Iterative Image Reconstruction in CT of the Paranasal Sinuses: A Phantom Study
... of iterative reconstructions for images rendered with a soft-tissue ...on iterative tech- niques cannot be estimated by a phantom ...analyzed iterative technique itself to 1 specific algorithm ...
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CT of the chest with model-based, fully iterative reconstruction: comparison with adaptive statistical iterative reconstruction
... All 55 subjects underwent standard-dose and low-dose chest CT with a 64-section multi-detector row CT scanner (GE Discovery CT750 HD; GE Healthcare, Milwaukee, WI). A weight-based adjustment of a com- bined modulation ...
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Quantitative Analysis of the Effect of Iterative Reconstruction Using a Phantom: Determining the Appropriate Blending Percentage
... Fig. 6 includes five texture analysis graphs showing the dif- ferent texture feature values according to an increase in the percentage of ASIR at different acquisition protocols. With increasing percentage of ASIR, ASM, ...
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Three-dimensional computed tomography dose optimisation and image quality improvement of abdomen-pelvis using adaptive-iterative dose reduction
... The issue of radiation-induced cancer is highly relevant (Shah et al., 2014) and the risk is increasing when the dose received exceeded dose reference levels (Rehani et al., 2012; Naumann et al., 2014). Although ...
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Iterative Reconstruction in Head CT: Image Quality of Routine and Low Dose Protocols in Comparison with Standard Filtered Back Projection
... of image noise and not at reduction of potential image artifacts, such as conebeam arti- facts, which are not a severe problem anyway in CT systems with relatively small detector width in the ...an ...
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Impact of Model Based Iterative Reconstruction on Image Quality of Contrast Enhanced Neck CT
... statistical iterative reconstruction and model-based iterative ...Objective image quality was assessed by comparing SNR, contrast-to-noise ratio, and background noise at levels 1 (mandible) ...
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Tomographic Image Reconstruction of Fan-Beam Projections with Equidistant Detectors using Partially Connected Neural Networks
... It is worth mentioning that the backprojection algorithm using partially connected neural networks needs to run in two distinct phases: the building phase where the relevant weights are calculated and the feeding phase ...
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DE Mosaicing using Matrix Factorization Iterative Tunable Method
... every image pixel, for instance if we want to capture the color image it is eminent to either capture the other two color or reconstruct through the ...the image might ...
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