Results 301 to 310 of about 264,517 (319)
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Iterative reconstruction of thyroidal SPECT images

European Journal Of Nuclear Medicine, 1987
First SPECT results using a multiplicative iterative reconstruction algorithm are presented. The superiority of the iterative technique over filtered backprojection is demonstrated in two thyroid SPECT studies. Obvious benefits of the new reconstruction technique are better defined outlines of the imaged organ and patient body as well as negligible ...
W, Eschner, M, Bähre, H, Luig
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Iterative reconstruction reduces abdominal CT dose

European Journal of Radiology, 2012
In medical imaging, lowering radiation dose from computed tomography scanning, without reducing diagnostic performance is a desired achievement. Iterative image reconstruction may be one tool to achieve dose reduction. This study reports the diagnostic performance using a blending of 50% statistical iterative reconstruction (ASIR) and filtered back ...
Anne Catrine Trægde, Martinsen   +4 more
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Iterative continuous maximum‐likelihood reconstruction method

Mathematical Methods in the Applied Sciences, 1992
AbstractIn this paper we continue our studying of the iterative maximum‐likelihood reconstruction method. We consider only the continuous case and show some convergence properties of the algorithm. In the discrete case convergence has already been proved.
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Iterative TV reconstruction vs. weighted FBP reconstruction

2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC), 2013
Iterative image reconstruction with the total-variation (TV) constraint has become an active research area in recent years, especially in x-ray CT and MRI. Based on Green's one-step-late algorithm, this paper develops a transmission noise weighted iterative algorithm with a TV prior.
Gengsheng L. Zeng, Alex Zamyatin
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Approximate 3D iterative reconstruction for SPECT

Medical Physics, 1997
Compared with slice‐by‐slice approaches for SPECT reconstruction, three‐dimensional iterative methods provide a more accurate physical model and an improved SPECT image. Clinical application of these methods, however, is limited primarily by their computational demands.
D R, Gilland   +3 more
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Deep iterative reconstruction estimation (DIRE): approximate iterative reconstruction estimation for low dose CT imaging

Physics in Medicine & Biology, 2019
The image quality in low dose computed tomography (LDCT) can be severely degraded by amplified mottle noise and streak artifacts. Although the iterative reconstruction (IR) algorithms bring sound improvements, their high computation cost remains a major inconvenient.
Liu, Jin   +11 more
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Right adrenal vein: comparison between adaptive statistical iterative reconstruction and model-based iterative reconstruction

Clinical Radiology, 2018
To compare right adrenal vein (RAV) visualisation and contrast enhancement degree on adrenal venous phase images reconstructed using adaptive statistical iterative reconstruction (ASiR) and model-based iterative reconstruction (MBIR) techniques.This prospective study was approved by the institutional review board, and written informed consent was ...
Y, Noda   +7 more
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Image quality of iterative reconstruction in cranial CT imaging: comparison of model-based iterative reconstruction (MBIR) and adaptive statistical iterative reconstruction (ASiR)

European Radiology, 2014
The purpose of this study was to compare cranial CT (CCT) image quality (IQ) of the MBIR algorithm with standard iterative reconstruction (ASiR).In this institutional review board (IRB)-approved study, raw data sets of 100 unenhanced CCT examinations (120 kV, 50-260 mAs, 20 mm collimation, 0.984 pitch) were reconstructed with both ASiR and MBIR. Signal-
S, Notohamiprodjo   +6 more
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Learning Iterative Image Reconstruction

2003
Successful image reconstruction requires the recognition of a scene and the generation of a clean image of that scene. In this chapter, I show how to use Neural Abstraction Pyramid networks for both analysis and synthesis of images. The networks have a hierarchical architecture which represents images in multiple scales with different degrees of ...
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A new iterative reconstruction scheme for signal reconstruction

APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems, 2008
Projection Onto Convex Sets (POCS) is an iterative method to obtain the information from one domain using the information available in other domains, and it has been widely used in image restoration problems and block-based DCT compression standards as a post-processing scheme.
null Honglin Huang, Anamitra Makur
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