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Published in 2018 at "Medical Physics"
DOI: 10.1002/mp.12720
Abstract: PURPOSE This study quantified the performance of coronary artery motion artifact metrics relative to human observer ratings. Motion artifact metrics have been used as part of motion correction and best-phase selection algorithms for Coronary Computed…
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Keywords:
motion;
kendall tau;
angiography;
artifact metrics ... See more keywords
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Published in 2020 at "SoftwareX"
DOI: 10.1016/j.softx.2020.100598
Abstract: Independent Component Analysis-based Automatic Removal of Motion Artifacts (ICA-AROMA; Pruim et al., 2015) is a robust approach to remove brain activity related to head motion within functional magnetic resonance imaging (fMRI) datasets. However, ICA-AROMA requires…
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Keywords:
motion;
ica aroma;
infobar;
interface ... See more keywords
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Published in 2018 at "Nature Protocols"
DOI: 10.1038/s41596-018-0065-y
Abstract: Participant motion during functional magnetic resonance image (fMRI) acquisition produces spurious signal fluctuations that can confound measures of functional connectivity. Without mitigation, motion artifact can bias statistical inferences about relationships between connectivity and individual differences.…
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Keywords:
motion;
image;
connectivity;
protocol ... See more keywords
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Published in 2022 at "Expert Review of Medical Devices"
DOI: 10.1080/17434440.2022.2035215
Abstract: ABSTRACT Objective One of the most critical problems in different types of medical imaging modalities is unwanted patient movement during imaging procedures, which mainly occurs because of stress, anxiety, and restlessness in patients, resulting in…
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Keywords:
mbb group;
motion artifact;
group;
anxiety ... See more keywords
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Published in 2018 at "Journal of Computer Assisted Tomography"
DOI: 10.1097/rct.0000000000000736
Abstract: Purpose The purpose of this study was to compare quantitative and qualitative measures of aortic, cardiac, and respiratory motion artifact between high-pitch dual-source (DS) and single-source (SS) computed tomography pulmonary angiography (CTPA) protocols. Methods This…
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Keywords:
motion;
source;
dual source;
motion artifact ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3178847
Abstract: For long-term electrocardiogram (ECG) signal monitoring, a portable and small size acquisition device with Bluetooth low energy (BLE) communication is designed and integrated with a Nvidia Jetson Xavier NX for realizing the electrode motion artifact…
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Keywords:
motion artifact;
artifact removal;
electrode motion;
ecg signal ... See more keywords
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Published in 2020 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2020.3021246
Abstract: This article presents a 320 $\times $ 240 indirect time-of-flight (iToF) CMOS image sensor (CIS) with on-chip motion artifact suppression and background light cancelling (BGLC). The proposed iToF CIS uses a backside-illuminated trident pinned photodiode…
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Keywords:
tap;
two tap;
background;
chip ... See more keywords
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Published in 2019 at "IEEE Transactions on Biomedical Circuits and Systems"
DOI: 10.1109/tbcas.2019.2937536
Abstract: This work presents the design and analysis of a compact low-power motion artifact estimator for reducing the input dynamic range in wearable ECG acquisition systems. The estimator employs a novel mixed-signal architecture that performs adaptive…
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Keywords:
tex math;
acquisition;
estimator;
inline formula ... See more keywords
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Published in 2019 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2018.2874885
Abstract: Advances in several engineering fields have led to a trend toward miniaturization and portability of wearable biosensing devices, which used to be confined to large tools and clinical settings. Various systems to continuously measure electrophysiological…
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Keywords:
real time;
accuracy;
artifact tailoring;
motion artifact ... See more keywords
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Published in 2022 at "Neurophotonics"
DOI: 10.1117/1.nph.9.4.041406
Abstract: Abstract. Significance: Functional near-infrared spectroscopy (fNIRS), a well-established neuroimaging technique, enables monitoring cortical activation while subjects are unconstrained. However, motion artifact is a common type of noise that can hamper the interpretation of fNIRS data.…
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Keywords:
spectroscopy;
motion;
motion artifact;
deep learning ... See more keywords
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Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0239743
Abstract: Purpose The purpose of this study was to investigate whether the cardiac motion artifact that regularly appears in diffusion-weighted imaging of the left liver lobe might be reduced by acquiring images in inspiration, when the…
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Keywords:
diffusion weighted;
cardiac motion;
inspiration;
motion artifact ... See more keywords