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A model-based method for phase unwrapping

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TLDR
A model-based phase unwrapping method which represents the unwrapped phase function by a truncated Taylor series and a residual function and an efficient, noniterative computational algorithm is proposed for calculating the model parameters from the phase derivatives.
Abstract
Presents a model-based phase unwrapping method which represents the unwrapped phase function by a truncated Taylor series and a residual function. An efficient, noniterative computational algorithm is also proposed for calculating the model parameters from the phase derivatives. Sample experimental results are shown to demonstrate the effectiveness of the algorithm for extracting unwrapped phase images from two-dimensional (2-D) magnetic resonance imaging (MRI) data.

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Citations
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Fast, automated, N‐dimensional phase‐unwrapping algorithm

TL;DR: This work investigates the general problem of phase unwrapping for arbitrary N‐dimensional phase maps and a cost function‐based approach is outlined that leads to an integer programming problem, and a best‐pair‐first region merging approach is adopted as the optimization method.
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Dixon techniques for water and fat imaging

TL;DR: The underlying physical principles of the Dixon technique can serve the purpose of fat suppression, an important and widely used imaging option for clinical MRI, and the availability of both the water‐only and fat‐only images allows direct image‐based water and fat quantitation.
Journal ArticleDOI

Phase Unwrapping via Graph Cuts

TL;DR: A new energy minimization framework for phase unwrapping with considered objective functions are first-order Markov random fields and two algorithms, which solve integer optimization problems by computing a sequence of binary optimizations, each one solved by graph cut techniques are named.
Journal ArticleDOI

Recent Trend and Advance of Synthetic Aperture Radar with Selected Topics

Kazuo Ouchi
- 05 Feb 2013 - 
TL;DR: A short review is presented on the recent trend and development of SAR and related techniques with selected topics, including the fields of applications, specifications of airborne and spaceborne SARs, and information contents in and interpretations of amplitude data, interferometric SAR (InSar) data, and polarimetric SAR (PolSAR) data.
Journal ArticleDOI

Ground-based radar interferometry for landslides monitoring: atmospheric and instrumental decorrelation sources on experimental data

TL;DR: Results confirmed that the application of ground-based radar interferometry can be attractive and effective if the acquired SAR images maintain an adequate coherence on different dates.
References
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Journal ArticleDOI

Robust two-dimensional weighted and unweighted phase unwrapping that uses fast transforms and iterative methods

TL;DR: In this article, a robust method for 2D phase principal values (in a least-squares sense) by using fast cosine transforms was developed, which can be used to isolate inconsistent regions (i.e., phase shear).
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Three-point dixon technique for true water/fat decomposition with b0 inhomogeneity correction

TL;DR: An enhancement to Dixon's technique is described which can provide error‐free decomposition of water and fat proton images even in the presence of off‐resonance conditions which result from susceptibility differences, demagnetization, or shim errors.
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A new phase unwrapping algorithm

TL;DR: A new phase unwrapping algorithm is proposed that combines the information contained in both the phase derivative and the principal value of the phase into an adaptive numerical integration scheme.
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Rapid in vivo proton shimming.

TL;DR: Results indicate that AUTOSHIM improves the overall homogeneity; however, local high‐order field distortions which cannot be corrected by linear gradients are generated by certain air/tissues and bone/tissue morphology and a “ZOOM SHIM” may be applied over a limited region of interest for local homogeneity improvement at the expense of other regions.
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Phase unwrapping of MR phase images using Poisson equation

TL;DR: The authors have developed a technique based on a solution of the Poisson equation to unwrap the phase in magnetic resonance (MR) phase images that is robust in the presence of noise and applies to the 3-point Dixon technique for water and fat separation.
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