Articles with "image domain" as a keyword



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Image Domain Transfer by Deep Learning is Feasible in Multiple Sclerosis Clinical Practice.

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Published in 2020 at "Investigative Radiology"

DOI: 10.1097/rli.0000000000000665

Abstract: M ultiple sclerosis (MS) is a chronic demyelinating disorder of the central nervous system that mainly affects young adults. The estimated prevalence of MS in North America in 2016 was more than 120 cases per… read more here.

Keywords: radiology; image domain; image; domain transfer ... See more keywords
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Metal Artifact Reduction for X-Ray Computed Tomography Using U-Net in Image Domain

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2930302

Abstract: Metal artifacts seriously degrade the quality of the CT data and bring great difficulties to subsequent image processing and analysis, which nowadays become a great concern in X-ray CT applications. In this paper, we introduce… read more here.

Keywords: metal artifact; metal; ray; artifact reduction ... See more keywords
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Elastic Least-Squares Gaussian Beam Imaging With Point Spread Functions

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3173303

Abstract: Elastic least-squares migration (ELSM) has the potential to produce high-resolution images. It can be implemented in either data-domain or image-domain but is much faster in the image domain. A critical step of image-domain ELSM is… read more here.

Keywords: image domain; gaussian beam; least squares; elastic least ... See more keywords
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3-D Q-Compensated Image-Domain Least-Squares Reverse Time Migration Through Point Spread Functions

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3218817

Abstract: Least-squares reverse time migration (LSRTM) has the potential to retrieve a high-resolution subsurface image. However, the standard acoustic LSRTM approach may produce a blurred image, if directly applying it to attenuated seismic recordings. In this… read more here.

Keywords: reverse time; image domain; domain; time migration ... See more keywords
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A Postmatched-Filtering Image-Domain Subspace Method for Channel Mismatch Estimation of Multiple Azimuth Channels SAR

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Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2020.3044880

Abstract: Multiple azimuth channels (MACs) synthetic aperture radar (SAR) can theoretically achieve high azimuth resolution and wide swath (HRWS). Nevertheless, in practice, channel mismatch will lead to ghost or azimuth ambiguities, which will degrade the imaging… read more here.

Keywords: image domain; subspace method; method; channel mismatch ... See more keywords
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Spectral CT Image-Domain Material Decomposition via Sparsity Residual Prior and Dictionary Learning

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Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3221120

Abstract: The spectral computed tomography (CT) system based on a photon-counting detector (PCD) can quantitatively analyze the material composition of the inspected object by material decomposition. Nonetheless, the raw projection of spectral CT is frequently disturbed… read more here.

Keywords: image domain; domain material; decomposition; material decomposition ... See more keywords
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Sinogram + image domain neural network approach for metal artifact reduction in low-dose cone-beam computed tomography

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Published in 2021 at "Journal of Medical Imaging"

DOI: 10.1117/1.jmi.8.5.052103

Abstract: Abstract. Purpose: Cone-beam computed tomography (CBCT) is commonly used in the operating room to evaluate the placement of surgical implants in relation to critical anatomical structures. A particularly problematic setting, however, is the imaging of… read more here.

Keywords: neural network; approach; image domain; image ... See more keywords
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Algorithm for determination of image domain constraints for intensity correlation imaging.

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Published in 2022 at "Applied optics"

DOI: 10.1364/ao.472362

Abstract: This paper considers the application of intensity correlation imaging with its noise reducing phase retrieval algorithm to astronomical observations. Prior work showed that, when image domain constraints are accounted for, the necessary integration times can… read more here.

Keywords: image domain; correlation imaging; domain constraints; image ... See more keywords