Quantitative susceptibility mapping in the brain reflects spatial expression of genes involved in iron homeostasis and myelination. [PDF]
Hum Brain MappCohen Z, Lau L, Ahmed M, Jack CR, Liu C.
europepmc +1 more source
PU-GAN: A One-Step 2-D InSAR Phase Unwrapping Based on Conditional Generative Adversarial Network
IEEE Transactions on Geoscience and Remote Sensing, 2022 Two-dimensional phase unwrapping (PU) is a classical ill-posed problem in synthetic aperture radar interferometry (InSAR). The traditional algorithmic model-based 2-D PU methods are limited by the Itoh condition, which is from the PU researchers' experience and has critical challenges under strong phase noises or violent phase changes.
Lifan Zhou +3 more
semanticscholar +3 more sources
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FCSN 3-D PU: Fully Connected Spatiotemporal Network Based 3-D Phase Unwrapping
IEEE Geoscience and Remote Sensing Letters, 2023Phase unwrapping (PU) based on spatial networks is a key procedure in time series synthetic aperture radar interferometry (TS-InSAR). Although the state-of-the-art techniques have shown good success in common cases, their performance remained uncertain in some challenging cases where the reliability of spatial networks is difficult, e.g., reservoir ...
Zhuang Gao +3 more
openaire +5 more sources
PU-M-Net for phase unwrapping with speckle reduction and structure protection in ESPI
Optics and Lasers in Engineering, 2022Abstract In this paper, we propose a deep nonlinear CNN model, named as PU-M-Net for phase unwrapping with speckle reduction and structure protection in ESPI. Our PU-M-Net consists of four pathways in “M” shape, and merges them by abundant skip connections.
Min Xu +4 more
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SLBL-PU: Shadow-Based Layer-By-Layer Phase Unwrapping for Efficient 3D Measurement
IEEE Transactions on Computational ImagingPhase-shifting (PS) based structured light technology shows excellent 3D perception performance. However, it requires projecting a extensive array of patterns, imposing constraints on the measurement space, or embedding additional signals for phase ...
Ruiming Yu +5 more
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MoDL-PU: Model-Based Deep Learning for InSAR Phase Unwrapping
IEEE Transactions on Geoscience and Remote SensingPhase unwrapping (PU) is a critical process for numerous synthetic aperture radar interferometry (InSAR) applications. The advent of deep learning (DL) has revolutionized PU, with various DL-based methods emerging over the past four years that ...
Lifan Zhou, Hanwen Yu
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Fast and robust three-dimensional best path phase unwrapping algorithm [PDF]
Applied Optics, 2007 What we believe to be a novel three-dimensional (3D) phase unwrapping algorithm is proposed to unwrap 3D wrapped-phase volumes. It depends on a quality map to unwrap the most reliable voxels first and the least reliable voxels last.
Hussein Abdul-Rahman +2 more
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ViT-PU-Net: Volumetric Phase Unwrapping for MR images based on Vision Transformer
ISMRM Annual Meeting, 2023MR phase information has been used in many MRI applications, recently, so it is very important to estimate the correct MR phase. Since the MR phase is encoded in complex exponential, the actual phase information obtained is in the form of a wrapped signal.
Soohyun Jeon +2 more
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GRA-MRF-PU: Gradient Regularized Adaptive Markov Random Field Phase Unwrapping
2026 5th International Symposium on Semiconductor and Electronic Technology (ISSET)This paper addresses the shortcomings of traditional phase unwrapping algorithms, particularly their vulnerability to noise and susceptibility to distortion. We propose a gradient regularized adaptive Markov random field unwrapping method that constructs
Yan-Tao He
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A Novel Mathematical Framework for Multibaseline InSAR Phase Unwrapping
IEEE Transactions on Geoscience and Remote Sensing, 2023Multibaseline (MB) interferometric synthetic aperture radar (InSAR) is an extension of conventional InSAR and is used to improve phase unwrapping (PU) accuracy without obeying the Itoh condition.
Lifan Zhou, Hanwen Yu
semanticscholar +1 more source