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Published in 2019 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2018.10.005
Abstract: At present, magnetic resonance (MR) images have gradually become a major aid for clinical medicine, which has greatly improved the doctor's diagnosis rate. Accurate and fast segmentation of MR images plays an extremely important role…
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Keywords:
color images;
bregman method;
split bregman;
segmentation ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2997678
Abstract: A modified Split-Bregman iteration method is proposed to reconstruct the image of target in computational ghost imaging. Different from the conventional Split-Bregman iteration, each reconstruction result of Split-Bregman iteration is denoised by BM3D filter in…
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Keywords:
reconstruction;
bregman iteration;
split bregman;
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3138859
Abstract: Synthetic aperture imaging radiometers (SAIRs) are a powerful tool for high-resolution imaging. The reconstruction process from the visibility function to the brightness temperature map in SAIRs has been demonstrated to be an ill-posed inverse problem.…
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Keywords:
reweighted total;
total variation;
synthetic aperture;
aperture imaging ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3180406
Abstract: Magnetic induction tomography (MIT) is viewed as a promising method for brain imaging. Most MIT studies are based on time-difference imaging, which cannot be used for detecting hemorrhagic stroke. However, for many years, multifrequency MIT…
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Keywords:
magnetic induction;
induction tomography;
error;
detection ... See more keywords