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Published in 2021 at "Magnetic resonance in medicine"
DOI: 10.1002/mrm.29013
Abstract: PURPOSE To develop a deep neural network to recover filtered phase from clinical MR phase images to enable the computation of QSMs. METHODS Eighteen deep learning networks were trained to recover combinations of 13 SWI…
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Keywords:
swi filtered;
phase;
filtered phase;
deep learning ... See more keywords
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Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29260
Abstract: Homodyne filtering is a standard preprocessing step in the estimation of SWI. Unfortunately, SWI is not quantitative, and QSM cannot be accurately estimated from filtered phase images. Compared with gradient‐echo sequences suitable for computing QSM,…
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Keywords:
homodyne;
filtered phase;
homodyne filtered;
phase images ... See more keywords
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Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3156548
Abstract: Susceptibility weighted imaging (SWI) is a routine magnetic resonance imaging (MRI) sequence that combines the magnitude and high-pass filtered phase images to qualitatively enhance the image contrasts related to tissue susceptibility. Tremendous amounts of the…
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Keywords:
phase data;
pass filtered;
susceptibility;
filtered phase ... See more keywords
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Published in 2022 at "Journal of Neuroimaging"
DOI: 10.1111/jon.13047
Abstract: Recognizing the location and length of the thrombus responsible for large vessel occlusion in patients with acute ischemic stroke can facilitate effective endovascular recanalization therapy (ERT). We hypothesized that the aliasing or dipole effect produced…
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Keywords:
acute ischemic;
filtered phase;
thrombus;
susceptibility weighted ... See more keywords