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Published in 2017 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.26346
Abstract: To show that a combination of parallel imaging using sensitivity encoding (SENSE) and inner volume imaging (IVI) combines the known benefits of both techniques. SENSE with a reduced field of excitation (rFOX) is termed rSENSE. read more here.
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Published in 2019 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.27656
Abstract: To develop and evaluate a method of parallel imaging time‐of‐flight (TOF) MRA using deep multistream convolutional neural networks (CNNs). read more here.
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Published in 2020 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.28154
Abstract: To introduce a modified 3D stack‐of‐spirals trajectory and efficient SENSE reconstruction for improved through‐plane undersampling, while maintaining SNR efficiency and other benefits of spiral acquisitions. read more here.
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Published in 2021 at "European Radiology"
DOI: 10.1007/s00330-021-07699-y
Abstract: Compressed sensing (CS) and parallel imaging (PI) are magnetic resonance (MR) imaging acceleration techniques. Image quality of two-dimensional fast spin echo imaging of the oral cavity using CS or combined CS and PI has not… read more here.
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Published in 2018 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2018.07.010
Abstract: Prostate MRI is an important tool to diagnose and characterize cancer. High local sensitivity and good parallel imaging performance are of paramount importance for diagnostic quality and efficiency. The purpose of this work was to… read more here.
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Published in 2019 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2018.12.006
Abstract: PURPOSE To propose and evaluate a new calibrationless parallel imaging method aimed at further improving the reconstruction accuracy of the accelerated multi-channel MR images. METHOD We introduce a new calibrationless parallel imaging method. On top… read more here.
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Published in 2018 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2017.04.006
Abstract: The SNR and CNR benefits of ultra-high field (UHF) have helped push the envelope of achievable spatial resolution in MRI. For applications based on susceptibility contrast where there is a large CNR gain, high quality… read more here.
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Published in 2023 at "Journal of computer assisted tomography"
DOI: 10.1097/rct.0000000000001451
Abstract: OBJECTIVE This study aimed to compare the image quality in the hepatobiliary phase images of gadoxetic acid-enhanced liver magnetic resonance imaging using parallel imaging (PI) and compressed sensing (CS) reconstruction, using variable CS factors with… read more here.
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Published in 2021 at "Mathematical Problems in Engineering"
DOI: 10.1155/2021/6648983
Abstract: Face image super-resolution refers to recovering a high-resolution face image from a low-resolution one. In recent years, due to the breakthrough progress of deep representation learning for super-resolution, the study of face super-resolution has become… read more here.
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Published in 2021 at "Diagnostics"
DOI: 10.3390/diagnostics11010061
Abstract: In this study, we proposed a model combing parallel imaging (PI) with generative adversarial network (GAN) architecture (PIC-GAN) for accelerated multi-channel magnetic resonance imaging (MRI) reconstruction. This model integrated data fidelity and regularization terms into… read more here.
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Published in 2022 at "Magnetic resonance imaging"
DOI: 10.48550/arxiv.2204.01979
Abstract: Parallel imaging is widely used in magnetic resonance imaging as an acceleration technology. Traditional linear reconstruction methods in parallel imaging often suffer from noise amplification. Recently, a non-linear robust artificial-neural-network for k-space interpolation (RAKI) exhibits… read more here.